#like if you are going to go on a negative pr campaign on my behalf can you at least do it based on like. reality????

[adamsvanrhijn]

kind of weird honestly for people to get offended by. imagining i gave up on and was pleased by the canonical break up of a ship that literally saved my life to the point of going through the five stages of fucking grief about it without ever bothering to check if anything i said actually matched what people were telling you it said or like. you know. asking me about it directly

[yaz-the-spaz]

Hey yaz! I was just wondering your opinion on why you think Liam's mgtm would have him "date" a 17/18 yo. I dont follow m*ya at all and know p nothing abt her except that she is a model (?) and her dad is famous (?). I just feel like its weird they would pick someone a decade younger than him. My friends who arent 1d fans all have bad opinions abt him bc of this so like why do you think she was the choice? I understand publicity for her and stuff but just curious on what you think.

hey! i honestly think they just don’t care that much about the age aspect of it (and probably didn’t even consider the fact that the reaction would be so icky or maybe they did but just didn’t care), i think it’s mainly just the old/usual tried and true PR and Promo for an Up and Coming Model™ gimmick that they’ve done time and again (because they know it works. because they’ve done 867 times now and still the het side of the fandom manages to fall for it every time and swoon their idiotic asses off) and the age gap was just a secondary thing that they were maybe hoping ppl either wouldn’t pay much attention to or wouldn’t care about. apparently they didn’t learn their lesson from the way ppl reacted to him and c and the whole gross pedophilic predator aspect of that whole scenario (w/ the stories of her flirting and preying after liam since he was 14, etc. smdh). but as pretty much everything has shown, 1dhq (or whoever is running shit now) and the entertainment industry in general tends to always be about 42 5-10 years behind when it comes to being cognizant of general public changing sentiments over things. i mean just look at how many shows and movies from within the last couple of years are STILL portraying relationships between adults and underage teenagers and acting like that’s normal and perfectly acceptable (riverdale, pll, shameless, etc.). maybe in the early 2000′s no one was really batting an eye that much (cause it was so normalized on tv/in movies over all these decades that a lot of us didn’t really think too hard about it) but that shit certainly ain’t flying in post-MeToo era and yet...asshats still out here showcasing it. 

and the same with representation i mean shows like glee and modern family were a game-changer for sure but it still took like 5-10 or so years after those shows’ inceptions for the rest of hollywood to get with the program and start putting more queer characters in their shows and movies and just generally engaging in more diverse representation on a whole (as far as race, religion, gender/gender identity, neurodivergence plus-sized, and handi-capable representation, etc. as well). hollywood/the industry in general has always been super slow to change and get on board with the progression of the rest of society, and super reluctant/resistant to change at that. i mean i know all this is only tangentially related but they are largely still fighting the rise of streaming services tooth and nail despite the fact that most of the big ones have existed now for around a decade. i have a friend who works in the music industry who’s talked to me in-depth about how much the big record companies are still remaining super set in their old dinosaur ways and insanely obstinate about changing their business methods in a way that would make much more sense with the direction of the market and the heavy skew towards free streaming because they just refuse to accept that the entire market has changed and is only gonna continue to change. but instead just wanna sit and wallow and try to force ppl to play by their old games in a way that just is not sustainable and very likely only gonna wind up losing them money and business in the long run. and ofc we see the same with politics. 

it’s all just old dinosaurs who can’t let go of the way things used to be and we’re unfortunately seeing that all play out in a weird way with this whole let’s make liam date a teenager bit. whoever came up with it, whether it was her family or 1dhq or both or whoever, is clearly wayyy behind the times when it comes to public sentiment and either did not even foresee/consider all the ways this was gonna be digested in a largely super negative way by the public (and by extension blow back on liam in a super negative way), OR is so fame-hungry/money-hungry and so desperate to get this girl some attention that they just did not care at all how it would look or be received. 

...or both. honestly i’d be very willing to bet it’s a little bit of both lol

anyway short story long the gate-keepers of every major industry in this country (and lbr, the world in general) can’t deal with the fact that their breed and their business models are rapidly going extinct or becoming obsolete. they can try all they want to force their old (gross) ideals and outdated business practices on an unwilling public but the fact of the matter it’s very likely only gonna end up biting them in the ass and having the exact opposite result than what they wanted.

(that or it’s a huge concerted negative campaign against liam that’s going swimmingly lol but that’s way too tinhatty and conspiratorial even for me and i highly doubt they would do all this and expend this much time, effort, and money into something that was purely meant for the purpose of sabotaging liam and nothing more, and that didn’t also in some way guarantee mutually assured gain in the form of promo for m and her family. this is compounded by the fact that liam’s very clearly spent the majority of the last two years being photographed almost exclusively with either her, or shady people in the business and fashion industries that also seemingly happen to have strong ties/connections to her father. that’s not a coincidence. this is clearly largely for her benefit. but - as what i’m sure is a nice bonus for whoever made the other end of the agreement on liam’s behalf - also doubles as a continued opportunity to perpetuate the already highly problematic public image liam has unfortunately been saddled with, as well ofc the usual perpetual bearding and closeting) 

[michaelandy101-blog]

How to Choose the Most Link-Worthy Data Source for Your Content

New Post has been published on https://tiptopreview.com/how-to-choose-the-most-link-worthy-data-source-for-your-content-2/

How to Choose the Most Link-Worthy Data Source for Your Content

Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.

In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.

In this analysis, I looked at 1,474 client content campaigns across six different data source categories:

Client data

Social media

Participatory methods

Publicly available data

Survey

Germ swab

It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.

It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.

In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.

Managing expectations across content types

Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.

A press mention is defined as any time the content campaign was mentioned on a publisher’s website.

There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.

Publicly available data

For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.

While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.

Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.

And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.

I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.

Survey

Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.

While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.

Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That’s one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.

As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.

Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.

Germ swab

From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.

Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?

Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.

Participatory methods

Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.

These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.

As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.

Social media

Social media as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.

Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.

The best thing about using social media as a source for content is that it can be applied to all verticals.

The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.

For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.

While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women’s Health, and Elite Daily.

Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.

Client data

Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.

You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.

Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.

Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.

An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.

Conclusion

No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.

With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.

All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.

Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.

Source link

[vegalocity]

Scapegoat

This was my contribution to the Superhusbands Aluminum Annniversary anthology! I wrote an EMH fic which I’m so excited for you guys to see! (And yes, I have not given up on this ship, I love this ship)

Thank you so much @stevetonystudios! You guys are awesome!

Go check out the Anthology here! (Click!)

But here’s my contribution under the cut!

Tony was used to taking the blame for things that weren't necessarily his fault. It was something that came along with being the CEO of a technology company; Every so often, something will go wrong, somewhere down the line, someone will overlook a variable, or round a decimal they shouldn't have. In the end it was just inescapable and when they were dealing with innovation and technology, that meant when things went wrong, someone might end up hurt or killed.

And when that happened he would call a press conference, and humbly take the blame for what happened―because in the end any oversight down the line would be his own, granted he personally hired most, if not all, of his staff.

And so when the Avengers came into his life he had no problem with doing the same. Sure, there were times when reporters would pointedly go after certain avengers they thought would be interesting to toy with, but for the most part, Iron Man was the Avengers' leader, PR department, and scapegoat.

He was fine with that. It was his life before the Avengers, so why wouldn't he be fine with it?

In a way he actually relied on it, if the reporters were swarming him with questions about why the Avengers did or didn't do something, that meant they weren't crowding the others. Also―and  he was objective enough to admit this―with T'challa, Hank, and now Vision on the crew, there wasn't too much he could contribute to the team that someone else couldn't take over if pressed.

So he used his training as a businessman to his advantage. T'challa had to remain away from the press―being the king of a foreign country, if he even tried to justify the actions of the Avengers, his words would be skewed into a political format. And Jan, while gifted in PR, would wilt completely under the almost nonstop attention and release of statements.

If he handled the press, then nobody else had to.

Clint wouldn't have to nearly punch a reporter in the face, Steve wouldn't look one cue away from defaulting to his original public speaking lessons and start selling war bonds, Carol wouldn't have to worry about seeming to choose the Avengers over SWORD―all in all everyone was better off.

What made him most infuriated at the end of the Skrull fiasco―after The battle had been won, after the paranoia had passed and he'd had run routine scans through the mansion to alert him should any Skrull DNA be present at any time―was when the public decided not to listen to the explanation that had been told to them honestly. Steve was wrongfully scapegoated for an oversight on the Avengers' behalf. An oversight on his behalf.

He talked to everyone he possibly could to clear Steve's name. As many government officials as would listen to him, did every exclusive he could possibly fit into his schedule, stressed that Steve was blameless and the issue was an oversight from the Avengers in general, specifically his oversight. Allowing his feelings of betrayal and paranoia to cloud his judgment and running off to Malibu when his team had needed him most.

And he'd been convincing. People were used to Tony Stark being the fall-guy for Stark Industries, making him the fall-guy for the Avengers was the easiest thing to do considering the circumstances. He'd gotten every paper to stop circulation of 'Captain America, traitor to the planet' articles, and instead circulate recycled exposés questioning Tony's reliability as leader of the Avengers.

Every paper, of course, except for the Daily Bugle. But no matter how much hell he personally threw in that building, J. Jonah Jameson was the most stubborn man he'd ever met, and that included a startling amount of the supervillains they'd faced.

But nevertheless, eventually even Jameson stepped off of Steve and went back to his smear campaign against Spider-Man. And Tony was―relatively―happy.

By now most of the team had figured out that this was just how Tony handled the PR for the Avengers, and finally―finally―the concerned glances at him over the newspaper were changed with exasperated annoyance.

Jan would pat his shoulder and insist he model her newest design to try and get both of their minds off of the whole thing. Thor would insist that what he was doing to keep the people's trust was as honorable as any fight, usually before challenging him to a training session. Clint would often read the headline aloud and crumple the paper up in over exaggerated irritation to try and make him laugh, most of the time it worked. But no matter who it was overlooking an article featuring Tony taking the fall for something that was only his fault because he was the leader, he appreciated the care. Even if he himself didn't care much about it anymore.

But Steve... oh boy. While everyone else had come to the conclusion that they couldn't stop this, that this was simply what Tony did as their impromptu PR department. Steve didn't. He read the paper every morning. He  read whichever paper was at their door that hadn't been snatched up by someone else, and whenever there was an article about the Avengers in any negative connotation―whenever Tony had done a press release about Avengers issues, doing his usual song and dance―he'd look up from the top of the Paper and give Tony a pensive, worried, look.

But after he'd been used by the Purple Man―after his brain had been poked and prodded and manipulated by Killgrave, After he'd taken over the entire planet and had his stray ideas brought to life and used against his friends―He needed a moment before he went to the press and did what he always did.

He watched construction workers take down one of the billboards he'd been manipulated into putting up, the mauve irises of his Billboard image offset by the phrase 'A better world' practically bored into him. Pierced right though the Arc reactor and into his stubbornly pounding heart.

“Don't pretend like this wasn't your idea in the first place. Everything I've made you do in the last few weeks? It all came from you. ”

At least this time he wasn't just guilty because he was the Avengers' figurehead. This time it really was his fault. He might not have been the one to make the decisions, but if he hadn't considered such... terrible things... had never considered the Sentries, never wondered in a bored stupor how complicated bureaucracy would be if some supervillan actually did take over the world, Purple Man would have had nothing to work with.

First thing tomorrow, he would be getting to making sure his lack of proper willpower over the past few weeks didn't reflect poorly on the Avengers as a whole. Pepper had already texted him about how a couple of communities were already making effigies of him to burn, so it would have to be first thing in the morning.

A news release over breakfast.

Rhodey called him about an hour ago―part of his 'taking over the world' debacle had involved putting Rhodey on paid leave so he could spend some time with his friend (Purple Man really had thought of everything to make him as emotionally complacent as possible) and had told him his higher ups had immediately ordered for his re-deployment.

“None of this is your fault, Tones. Some people might not believe it―hell, you might not believe it―but this clusterfuck? Not. Your. Fault.”

And honestly? Some part of him wished he could believe his best friend. Rhodey knew him better than anyone. He should know that while Tony's intrusive thoughts had a tendency to be a touch on the megalomaniacal side, he would never dream of acting on them.

Still...

”Stark, I just gave you the push you needed!”

It wasn't fun to have a literal supervillan point out everything he ever worried about himself.

“Iron Man?”

Tony jolted in place, spinning on his heel to see Steve. His cowl was still up―he was still, to some degree, in Captain America mode.

For a moment Tony wondered if the others had had some sort of meeting and decided he had to leave the team; maybe Cap drew the short straw and had to be the one to tell him.

But the furrow in his brow wasn't that of someone preparing themselves for a 'you're fired' speech―a speech he was well acquainted with, so he did know the signs―nor was his stance anything but the firm parade rest of the paragon of American virtue he was well acquainted with.

“Hey, Cap.”

He didn't bother trying to plaster a fake smile on, he knew Steve would see right through it in a heartbeat if he tried―so after the greeting he simply turned his gaze back to the construction workers, trying to remove the stain he'd put on the world, billboard by billboard.

Steve came a little closer and for a moment Tony almost feared his approach. He might still be dangerous, some sort of grip of another being might still be messing around in his brain and he might not even know it.

“Are you alr-”

“It'll take some time” He cut Steve off. He couldn't handle a loaded question right now, he wasn't prepared. Couldn't he just drown himself in guilt? Just this once? “But I'll put it right. Everything I did, I'll fix.”

Steve stepped forward, meeting him at the edge of the rooftop and stepping half on top of the ledge. Steve turned to look at him―his oh-so-serious expression had that same sort of determined glint in it that Tony could remember through a purple haze.

An expression that said he believed in him, even if it was with his dying breaths.

He didn't want to make anyone have to feel bad for him―his whole mess was caused by the twisted things he made up in his head, brought to fruition by a third party.

“You know, ever since I became Iron Man, I've been working to keep weapons out of the wrong hands.” He actually found it in himself to grin then, wry yet humorless, like he were about to burst into laughter and tears at the same time. “And then I became the weapon.”

Steve's expression, Tony wasn't sure if he had the word to describe what he saw flicker across his generally stony look. He'd seen something similar before, when Rhodey used to catch him in his depressive spirals back at MIT, when Pepper would catch him tapping mindlessly at the Arc Reactor after a particularly harrowing business meeting.

A look similar to worry but going past the patented question of if he was alright. As though he already knew the answer was no, but was unsure of what he could actually say to try and help.

“Nobody blames you Tony.”

Tony almost wanted to laugh at that. It was an attempt at reassurance sure, and it was coming from Steve, so it was sure to be as heartfelt as they come. But that didn't make it right.

“Everyone knows it was the Purple Man. We were all in the same boat as you.” And wouldn't that have been just the ideal.

Maybe that would have worked if Vision had been the only one up and about, fighting them, and freeing him.

“No.” He turned away just barely catching Steve's expression shift again from the corner of his eye. Something timelessly sad flickered across his face when he denied the  opportunity to shrug off the blame. “You shook his control. So did the others. The ideas came from my brain. And I'm taking the fall for it.”

“Just as you take the fall for the Hulk getting a little too overzealous in smashing? Or Ultron going haywire to keep Hank from putting too much guilt onto himself?” His voice was tight, like he'd been wanting to talk to Tony about this for awhile, and had finally found an opening.

“Really? Right now?” he responded, annoyance pricking in the back of his throat. Honestly, he dealt with this fight more times than he could count from Rhodey, Jan, and Pepper, he honestly wasn't sure if he could handle it from Steve too.

“Tony.”

Did he ever mention how aggravating the Disappointed Cap Voice could be whilst he was trying to make a point?

“Steve,” he replied, trying his hardest to copy the inflection.

When he turned back to Steve he saw the minor tic in his jaw that proved that he actually pulled it off rather well.

“You know, one of these days you're going to be completely right on an issue, but because everyone is used to you taking the fall for the team as though they were your own mistakes, nobody's going to believe you.”

What was his point in all of this?

“Look, I've had this argument a million times, Cap; I really don't need the millionth and one for the inarguable time that something is my fault.”

He heard more than felt Steve's hand rest onto his shoulder then. Steve looked him directly in the eye, practically daring him to interrupt him.

“You were fighting too. It was practically impossible for how much time Purple Man was near you, but you were. After how long you'd been exposed to him, almost anyone else would have given up by then, but not you.”

Steve smiled at him then and Tony tried to convince himself that the stinging sensation along the edges of his eyes was solely due to stress.

“And I don't think you forgot about Vision either. I think you sent me there because you knew he would be able to get through to me―Tony, you were fighting him the whole time.”

He wanted to say something to that, that wishful thinking could only get them so far, that Steve's theories wouldn't stop the public from wanting to string him up and send him to 42. But something kept him from doing just that. Something he couldn't name but lingered on the tip of his tongue.

Steve smiled just a touch wider at him, an emotion like warmth dancing across his face.

“You've always said you believe in the future, but I believe in people.”

Steve squeezed his shoulder plate a little harder, and Tony was unable to feel it through the armor―he really wished for a moment that he had forgone the suit this evening so he could feel it

“And I choose to believe in you, Iron Man.” His hand dropped from Tony's shoulder, but the warm look on his face didn't fade.

You know, there were downsides to being completely infatuated with Captain America, but the weird mix of relief and happiness that bubbled up in his gut wasn't in any way shape or form one of them.

“And we put it to a vote―you're taking tomorrow off. Wasp and I will cover press relations regarding the Purple Man. You deserve rest, Tony.”  

And honestly, what could he say to that? Put to a vote among the other Avengers, so no matter what he'd say the rest of them would stubbornly back Steve up.

He reluctantly let Steve put his arm around his shoulders and guide him back inside.

As it turned out, everyone had decided to take a brief post-brainwashing staycation. Carol, Clint, Jan, Vision, Thor, and even Hank were all in different states of relaxation in one of the main rooms. Jan and Hank cuddling in a small nest of pillows, Clint perched on top of the couch that Carol and Thor were splayed along. Vision sat alone on the floor, legs crossed and seemingly content. The lot of them seemed to brighten up, even just a little, at seeing himself and Steve in the doorway.

They weren't complete. Not by any stretch of the imagination, T'challa was still making sure Wakanda could tick right without him, and the Hulk was still in captivity for nothing that was his fault. But as many of them that <i>could</i> be here were.

Jan's grin was practically cheshire-like as she hopped up―much to Hank's clear disgruntlement―and zipped over to the two of them.

“Tony! Steve! Change out of your uniforms ya dweebs, we're watching The Thing and then IT! I wanna see Thor shriek like that time we marathonned the Nightmare on Elm Street films!”

Thor puffed up behind Jan, affront on his features. “I was simply taken aback at the gruesome legends Midguardians celebrate so intensely.”

“Come on! Off you two go! Don't come back until you're in civvies!”

Jan began to shoo the two of them off, but before they could get down the hall proper Jan had one last quip for them.

“And if you two are too busy hitting first base somewhere else we're starting without you!” she singsonged.

For a moment he'd wanted to swat Jan upside the head. If he wasn't as good at keeping his composure as he always was, he might have died right on the spot.

But when he'd turned to Steve to lightly apologize for Jan being more Jan-ish than usual, Steve wasn't giving her the Official Disappointed Face.

The bottoms of his cheeks had turned bright red, and though he could barely see Steve's expression under his cowl, he had a feeling that the majority of his face had followed suit.

If today hadn't been such a roller coaster he would want to do something about it. Or at least find an outlet for a feeling he could actually place as hope...

But from everything that's happened today?

Steve was right. Today was a day of rest. He could 'thank' him for handling the press tomorrow.

Because nobody was taking the fall for this except for the Purple Man.

(But, honestly?) This was the only time he'd let that concept slide. Come next mission he was handling PR again.

And no amount of Cap pep talks, hands on his shoulders, or―dare he hope―hands holding his, could change that.

[krestmarketinggroup-blog]

Building a Community of Advocates Through Smart Content

Posted by  Michelle_LeBlanc   From gentle criticism to full-on trolls, every brand social media page or community sometimes faces pushback. Maybe you’ve seen it happen. Perhaps you’ve even laughed along as a corporation makes a condescending misstep or a local business publishes a glaring typo. It’s the type of thing that keeps social media and community managers up at night.  Will I be by my phone to respond if someone needs customer service help? Will I know what to write if our brand comes under fire? Do we have a plan for dealing with this? 

  Advocates are a brand’s best friend  In my years of experience developing communities and creating social media content, I’ve certainly been there. I won’t try to sell you a magic elixir that makes that anxiety go away, but I’ve witnessed a phenomenon that can take the pressure off.  Before you can even begin to frame a response as the brand, someone comes out of the woodwork and does it for you.  Defending, opening up a conversation, or perhaps deflecting with humor, these individuals bring an authenticity to the response that no brand could hope to capture. They are true advocates, and they are perhaps the most valuable assets a company could have.

  But how do you get them?

  Having strong brand advocates can help insulate your brand from crisis, lead to referring links and positive media coverage, AND help you create sustainable, authentic content for your brand. In this blog post, I’ll explore a few case studies and strategies for developing these advocates, building user-generated content programs around them, and turning negative community perceptions into open dialogue.

  Case study 1: Employee advocates can counter negative perceptions  To start, let’s talk about negative community perceptions. Almost every company deals with this to one degree or another.

     In the trucking industry, companies deal with negative perceptions not just of their individual company, but also of the industry as a whole. You may not be aware of this, but our country needs approximately 3.5 million truck drivers to continue shipping daily supplies like food, medicine, deals from Amazon, and everything else you’ve come to expect in your local stores and on your doorstep. The industry regularly struggles to find enough drivers. Older drivers are retiring from the field, while younger individuals may be put off by a job that requires weeks away from home. Drivers that are committed to the industry may change jobs frequently, chasing the next hiring bonus or better pay rate.

  How does a company counter these industry-wide challenges and also stand out as an employer from every other firm in the field?

  Using video content, Facebook groups, and podcasts to create employee advocates  For one such company, we looked to current employees to become brand advocates in marketing materials and on social media. The HR and internal communications team had identified areas of potential for recruitment — e.g. separating military, women — and we worked with them to identify individuals that represented these niche characteristics, as well as the values that the company wanted to align themselves with: safety, long-term tenure with the company, affinity for the profession, etc. We then looked for opportunities to tell these individuals’ stories in a way that was authentic, reflected current organic social media trends, and provided opportunities for dialogue.

  In one instance, we developed a GoPro-shot, vlog-style video program around two female drivers that featured real-life stories and advice from the road. By working behind the scenes with these drivers, we were able to coach them into being role models for our brand advocate program, modeling company values in media/PR coverage and at live company events.

     One driver participated in an industry-media live video chat where she took questions from the audience, and later she participated in a Facebook Q&A on behalf of the brand as well. It was our most well-attended and most engaged Q&A to date. Other existing and potential drivers saw these individuals becoming the heroes of the brand’s stories and, feeling welcomed to the dialogue by one of their own, became more engaged with other marketing activities as a result.  These activities included:

     A monthly call-in/podcast show  where drivers could ask questions directly of senior management. We found that once a driver had participated in this forum, they were much more likely to stay with the company — with a 90% retention rate! 

  A private Facebook group  where very vocal and very socially active employees could have a direct line to the company’s driver advocate to express opinions and ask questions. In addition to giving these individuals a dedicated space to communicate, this often helped us identify trends and issues before they became larger problems.  

  A contest to nominate  military veterans within the company to become a brand spokesperson in charge of driving a military-themed honorary truck. By allowing anyone to submit a nomination for a driver, this contest helped us discover and engage members of the audience that were perhaps less likely to put themselves forward out of modesty or lack of esteem for their own accomplishments. We also grew our email list, gained valuable insights about the individuals involved, and were able to better communicate with more of this “lurker” group.  

  By combining these social media activities with traditional PR pitching around the same themes, we continued to grow brand awareness as a whole and build an array of positive links back to the company.

     When it comes to brand advocates, sometimes existing employees simply need to be invited in and engaged in a way that appeals to their own intrinsic motivations — perhaps a sense of belonging or achievement. For many employee-based audiences, social media engagement with company news or industry trends is already happening and simply needs to be harnessed and directed by the brand for better effect.

  But what about when it comes to individuals that have no financial motivation to promote a brand? At the other end of the brand advocate spectrum from employees are those who affiliate themselves with a cause. They may donate money or volunteer for a specific organization, but when it comes down to it, they don’t have inherent loyalty to one group and can easily go from engaged to enraged.

  Case study 2: UGC can turn volunteers into advocates  One nonprofit client that we have the privilege of working with dealt with this issue on a regular basis. Beyond misunderstandings about their funding sources or operations, they occasionally faced backlash about their core mission on social media.  After all, for any nonprofit or cause out there, it’s easy to point to two or ten others that may be seen as “more worthy,” depending on your views. In addition, the nature of their cause tended to attract a lot of attention in the holiday giving period, with times of low engagement through the rest of the year.

  Crowdsourcing user-generated content for better engagement  To counter this and better engage the audience year-round, we again looked for opportunities to put individual faces and stories at the forefront of marketing materials.   In this case, we began crowdsourcing user-generated content through monthly contesting programs during the organization’s “off” months. Photos submitted during the contests could be used as individual posts on social media or remixed across videos, blog posts, or as a starting point for further conversation and promotion development with the individuals. As Facebook was the primary promotion point for these contests, they attracted those who were already highly engaged with the organization and its page. During the initial two-month program, the Facebook page  gained 16,660 new fans  with no associated paid promotion, accounting for 55% of total page Likes in the first half of 2016.

  Perhaps even more importantly, the organization was able to save on internal labor in responding to complaints or negative commentary on posts as even more individuals began adding their own positive comments.  The organization’s community manager was able to institute a policy of waiting to respond after any negative post, allowing the brand advocates time to chime in with a more authentic, volunteer-driven voice.

  By inviting their most passionate supporters more deeply into the fold and giving them the space and trust to communicate, the organization may have lost some measure of control over the details of the message, but they gained support and understanding on a deeper level. These individuals not only influenced others within the social media pages of the organization, but also frequently shared content and tagged friends, acting as influencers and bringing others into the fold.

  How you can make it work for your audience  As you can see, regardless of industry, building a brand advocate program often starts with identifying your most passionate supporters and finding a way to appeal to their existing habits, interests, and motivations — then building content programs that put those goals at the forefront. Marketing campaigns featuring paid influencers can be fun and can certainly achieve rapid awareness and reach, but they will  never  be able to counter the lasting value of an authentic advocate, particularly when it comes to countering criticism or improving the perceived status of your brand or industry.

  To get started, you can follow a few quick tips:

     Understand your existing community. 

   Take a long look at your active social audience and try to understand who those people are: Employees? Customers?  

 Ask yourself what motivates them to participate in dialogue and how can you provide more of that. 

     Work behind the scenes. 

   Send private messages and emails, or pick up the phone and speak with a few audience members.  

 Getting a few one-on-one insights can be incredibly helpful in content planning and inspiring your strategy. 

 By reaching out individually, you really make people feel special. That’s a great step towards earning their advocacy.  

     Think: Where else can I use this? 

   Your advocates and their contributions are valuable. Make sure you take advantage of that value!  

 Reuse content in multiple formats or invite them to participate in new ways.  

 Someone who provides a testimonial might be able to act as a source for your PR team, as well.  

      Sign up for The Moz Top 10 , a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!

http://bit.ly/2vKYGoD

#newportbeachseo #internetmarketing #seo #lagunabeachseo #bestlocalseo #leadgeneration #linkbuilding #contentwriting #socialmediamarketing #articlewriting

[wickedbananas]

Building a Community of Advocates Through Smart Content

Posted by Michelle_LeBlanc

From gentle criticism to full-on trolls, every brand social media page or community sometimes faces pushback. Maybe you’ve seen it happen. Perhaps you’ve even laughed along as a corporation makes a condescending misstep or a local business publishes a glaring typo. It’s the type of thing that keeps social media and community managers up at night. Will I be by my phone to respond if someone needs customer service help? Will I know what to write if our brand comes under fire? Do we have a plan for dealing with this?

Advocates are a brand’s best friend

In my years of experience developing communities and creating social media content, I’ve certainly been there. I won’t try to sell you a magic elixir that makes that anxiety go away, but I've witnessed a phenomenon that can take the pressure off. Before you can even begin to frame a response as the brand, someone comes out of the woodwork and does it for you. Defending, opening up a conversation, or perhaps deflecting with humor, these individuals bring an authenticity to the response that no brand could hope to capture. They are true advocates, and they are perhaps the most valuable assets a company could have.

But how do you get them?

Having strong brand advocates can help insulate your brand from crisis, lead to referring links and positive media coverage, AND help you create sustainable, authentic content for your brand. In this blog post, I’ll explore a few case studies and strategies for developing these advocates, building user-generated content programs around them, and turning negative community perceptions into open dialogue.

Case study 1: Employee advocates can counter negative perceptions

To start, let’s talk about negative community perceptions. Almost every company deals with this to one degree or another.

In the trucking industry, companies deal with negative perceptions not just of their individual company, but also of the industry as a whole. You may not be aware of this, but our country needs approximately 3.5 million truck drivers to continue shipping daily supplies like food, medicine, deals from Amazon, and everything else you’ve come to expect in your local stores and on your doorstep. The industry regularly struggles to find enough drivers. Older drivers are retiring from the field, while younger individuals may be put off by a job that requires weeks away from home. Drivers that are committed to the industry may change jobs frequently, chasing the next hiring bonus or better pay rate.

How does a company counter these industry-wide challenges and also stand out as an employer from every other firm in the field?

Using video content, Facebook groups, and podcasts to create employee advocates

For one such company, we looked to current employees to become brand advocates in marketing materials and on social media. The HR and internal communications team had identified areas of potential for recruitment — e.g. separating military, women — and we worked with them to identify individuals that represented these niche characteristics, as well as the values that the company wanted to align themselves with: safety, long-term tenure with the company, affinity for the profession, etc. We then looked for opportunities to tell these individuals' stories in a way that was authentic, reflected current organic social media trends, and provided opportunities for dialogue.

In one instance, we developed a GoPro-shot, vlog-style video program around two female drivers that featured real-life stories and advice from the road. By working behind the scenes with these drivers, we were able to coach them into being role models for our brand advocate program, modeling company values in media/PR coverage and at live company events.

One driver participated in an industry-media live video chat where she took questions from the audience, and later she participated in a Facebook Q&A on behalf of the brand as well. It was our most well-attended and most engaged Q&A to date. Other existing and potential drivers saw these individuals becoming the heroes of the brand’s stories and, feeling welcomed to the dialogue by one of their own, became more engaged with other marketing activities as a result. These activities included:

A monthly call-in/podcast show where drivers could ask questions directly of senior management. We found that once a driver had participated in this forum, they were much more likely to stay with the company — with a 90% retention rate!

A private Facebook group where very vocal and very socially active employees could have a direct line to the company’s driver advocate to express opinions and ask questions. In addition to giving these individuals a dedicated space to communicate, this often helped us identify trends and issues before they became larger problems.

A contest to nominate military veterans within the company to become a brand spokesperson in charge of driving a military-themed honorary truck. By allowing anyone to submit a nomination for a driver, this contest helped us discover and engage members of the audience that were perhaps less likely to put themselves forward out of modesty or lack of esteem for their own accomplishments. We also grew our email list, gained valuable insights about the individuals involved, and were able to better communicate with more of this “lurker” group.

By combining these social media activities with traditional PR pitching around the same themes, we continued to grow brand awareness as a whole and build an array of positive links back to the company.

When it comes to brand advocates, sometimes existing employees simply need to be invited in and engaged in a way that appeals to their own intrinsic motivations — perhaps a sense of belonging or achievement. For many employee-based audiences, social media engagement with company news or industry trends is already happening and simply needs to be harnessed and directed by the brand for better effect.

But what about when it comes to individuals that have no financial motivation to promote a brand? At the other end of the brand advocate spectrum from employees are those who affiliate themselves with a cause. They may donate money or volunteer for a specific organization, but when it comes down to it, they don’t have inherent loyalty to one group and can easily go from engaged to enraged.

Case study 2: UGC can turn volunteers into advocates

One nonprofit client that we have the privilege of working with dealt with this issue on a regular basis. Beyond misunderstandings about their funding sources or operations, they occasionally faced backlash about their core mission on social media. After all, for any nonprofit or cause out there, it's easy to point to two or ten others that may be seen as "more worthy," depending on your views. In addition, the nature of their cause tended to attract a lot of attention in the holiday giving period, with times of low engagement through the rest of the year.

Crowdsourcing user-generated content for better engagement

To counter this and better engage the audience year-round, we again looked for opportunities to put individual faces and stories at the forefront of marketing materials.

In this case, we began crowdsourcing user-generated content through monthly contesting programs during the organization's "off" months. Photos submitted during the contests could be used as individual posts on social media or remixed across videos, blog posts, or as a starting point for further conversation and promotion development with the individuals. As Facebook was the primary promotion point for these contests, they attracted those who were already highly engaged with the organization and its page. During the initial two-month program, the Facebook page gained 16,660 new fans with no associated paid promotion, accounting for 55% of total page Likes in the first half of 2016.

Perhaps even more importantly, the organization was able to save on internal labor in responding to complaints or negative commentary on posts as even more individuals began adding their own positive comments. The organization’s community manager was able to institute a policy of waiting to respond after any negative post, allowing the brand advocates time to chime in with a more authentic, volunteer-driven voice.

By inviting their most passionate supporters more deeply into the fold and giving them the space and trust to communicate, the organization may have lost some measure of control over the details of the message, but they gained support and understanding on a deeper level. These individuals not only influenced others within the social media pages of the organization, but also frequently shared content and tagged friends, acting as influencers and bringing others into the fold.

How you can make it work for your audience

As you can see, regardless of industry, building a brand advocate program often starts with identifying your most passionate supporters and finding a way to appeal to their existing habits, interests, and motivations — then building content programs that put those goals at the forefront. Marketing campaigns featuring paid influencers can be fun and can certainly achieve rapid awareness and reach, but they will never be able to counter the lasting value of an authentic advocate, particularly when it comes to countering criticism or improving the perceived status of your brand or industry.

To get started, you can follow a few quick tips:

Understand your existing community.

Take a long look at your active social audience and try to understand who those people are: Employees? Customers?

Ask yourself what motivates them to participate in dialogue and how can you provide more of that.

Work behind the scenes.

Send private messages and emails, or pick up the phone and speak with a few audience members.

Getting a few one-on-one insights can be incredibly helpful in content planning and inspiring your strategy.

By reaching out individually, you really make people feel special. That’s a great step towards earning their advocacy.

Think: Where else can I use this?

Your advocates and their contributions are valuable. Make sure you take advantage of that value!

Reuse content in multiple formats or invite them to participate in new ways.

Someone who provides a testimonial might be able to act as a source for your PR team, as well.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

from The Moz Blog http://ift.tt/2go8NxK via IFTTT

[forlawfirmsonlymarketing]

How to Choose the Most Link-Worthy Data Source for Your Content Posted by Domenica

Posted by Domenica Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients. In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform. In this analysis, I looked at 1,474 client content campaigns across six different data source categories:

Client data

Social media

Participatory methods

Publicly available data

Survey

Germ swab

It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns. It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher. In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.

Managing expectations across content types

Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total. A press mention is defined as any time the content campaign was mentioned on a publisher’s website. There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.

Publicly available data

For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content. While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience. Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for. And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth. I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.

Survey

Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want. While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in. Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance. As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative. Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.

Germ swab

From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation. Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat? Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.

Participatory methods

Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations. These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off. As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.

Social media

Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data. Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat. The best thing about using social media as a source for content is that it can be applied to all verticals. The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage. For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states. While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily. Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.

Client data

Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it. You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization. Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources. Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns. An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.

Conclusion

No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind. With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance. All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining. Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.   Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

https://www.businesscreatorplus.com/how-to-choose-the-most-link-worthy-data-source-for-your-content/

[isearchgoood]

How to Choose the Most Link-Worthy Data Source for Your Content

Posted by Domenica

Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.

In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.

In this analysis, I looked at 1,474 client content campaigns across six different data source categories:

Client data

Social media

Participatory methods

Publicly available data

Survey

Germ swab

It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.

It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.

In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.

Managing expectations across content types

Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.

A press mention is defined as any time the content campaign was mentioned on a publisher’s website.

There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.

Publicly available data

For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.

While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.

Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.

And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.

I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.

Survey

Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.

While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.

Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.

As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.

Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.

Germ swab

From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.

Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?

Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.

Participatory methods

Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.

These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.

As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.

Social media

Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.

Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.

The best thing about using social media as a source for content is that it can be applied to all verticals.

The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.

For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.

While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.

Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.

Client data

Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.

You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.

Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.

Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.

An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.

Conclusion

No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.

With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.

All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.

Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

via Blogger https://ift.tt/2NDNYf0 #blogger #bloggingtips #bloggerlife #bloggersgetsocial #ontheblog #writersofinstagram #writingprompt #instapoetry #writerscommunity #writersofig #writersblock #writerlife #writtenword #instawriters #spilledink #wordgasm #creativewriting #poetsofinstagram #blackoutpoetry #poetsofig

[theinjectlikes2]

How to Choose the Most Link-Worthy Data Source for Your Content

Posted by Domenica

Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.

In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.

In this analysis, I looked at 1,474 client content campaigns across six different data source categories:

Client data

Social media

Participatory methods

Publicly available data

Survey

Germ swab

It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.

It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.

In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.

Managing expectations across content types

Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.

A press mention is defined as any time the content campaign was mentioned on a publisher’s website.

There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.

Publicly available data

For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.

While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.

Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.

And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.

I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.

Survey

Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.

While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.

Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.

As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.

Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.

Germ swab

From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.

Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?

Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.

Participatory methods

Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.

These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.

As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.

Social media

Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.

Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.

The best thing about using social media as a source for content is that it can be applied to all verticals.

The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.

For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.

While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.

Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.

Client data

Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.

You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.

Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.

Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.

An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.

Conclusion

No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.

With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.

All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.

Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

from The Moz Blog https://ift.tt/2BLLSab via IFTTT

[whitelabelseoreseller]

How to Choose the Most Link-Worthy Data Source for Your Content

Posted by Domenica

Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.

In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.

In this analysis, I looked at 1,474 client content campaigns across six different data source categories:

Client data

Social media

Participatory methods

Publicly available data

Survey

Germ swab

It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.

It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.

In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.

Managing expectations across content types

Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.

A press mention is defined as any time the content campaign was mentioned on a publisher’s website.

There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.

Publicly available data

For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.

While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.

Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.

And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.

I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.

Survey

Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.

While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.

Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.

As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.

Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.

Germ swab

From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.

Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?

Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.

Participatory methods

Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.

These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.

As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.

Social media

Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.

Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.

The best thing about using social media as a source for content is that it can be applied to all verticals.

The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.

For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.

While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.

Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.

Client data

Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.

You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.

Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.

Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.

An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.

Conclusion

No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.

With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.

All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.

Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

from The Moz Blog http://tracking.feedpress.it/link/9375/13684223

[lakelandseo]

How to Choose the Most Link-Worthy Data Source for Your Content

Posted by Domenica

Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.

In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.

In this analysis, I looked at 1,474 client content campaigns across six different data source categories:

Client data

Social media

Participatory methods

Publicly available data

Survey

Germ swab

It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.

It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.

In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.

Managing expectations across content types

Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.

A press mention is defined as any time the content campaign was mentioned on a publisher’s website.

There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.

Publicly available data

For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.

While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.

Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.

And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.

I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.

Survey

Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.

While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.

Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.

As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.

Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.

Germ swab

From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.

Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?

Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.

Participatory methods

Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.

These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.

As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.

Social media

Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.

Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.

The best thing about using social media as a source for content is that it can be applied to all verticals.

The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.

For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.

While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.

Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.

Client data

Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.

You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.

Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.

Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.

An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.

Conclusion

No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.

With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.

All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.

Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

[michaelandy101-blog]

How to Choose the Most Link-Worthy Data Source for Your Content

New Post has been published on http://tiptopreview.com/how-to-choose-the-most-link-worthy-data-source-for-your-content/

How to Choose the Most Link-Worthy Data Source for Your Content

Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.

In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.

In this analysis, I looked at 1,474 client content campaigns across six different data source categories:

Client data

Social media

Participatory methods

Publicly available data

Survey

Germ swab

It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.

It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.

In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.

Managing expectations across content types

Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.

A press mention is defined as any time the content campaign was mentioned on a publisher’s website.

There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.

Publicly available data

For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.

While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.

Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.

And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.

I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.

Survey

Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.

While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.

Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That’s one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.

As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.

Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.

Germ swab

From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.

Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?

Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.

Participatory methods

Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.

These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.

As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.

Social media

Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.

Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.

The best thing about using social media as a source for content is that it can be applied to all verticals.

The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.

For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.

While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women’s Health, and Elite Daily.

Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.

Client data

Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.

You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.

Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.

Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.

An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.

Conclusion

No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.

With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.

All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.

Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.

Source link

[epackingvietnam]

How to Choose the Most Link-Worthy Data Source for Your Content

Posted by Domenica

Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.

In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.

In this analysis, I looked at 1,474 client content campaigns across six different data source categories:

Client data

Social media

Participatory methods

Publicly available data

Survey

Germ swab

It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.

It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.

In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.

Managing expectations across content types

Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.

A press mention is defined as any time the content campaign was mentioned on a publisher’s website.

There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.

Publicly available data

For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.

While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.

Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.

And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.

I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.

Survey

Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.

While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.

Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.

As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.

Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.

Germ swab

From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.

Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?

Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.

Participatory methods

Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.

These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.

As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.

Social media

Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.

Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.

The best thing about using social media as a source for content is that it can be applied to all verticals.

The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.

For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.

While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.

Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.

Client data

Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.

You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.

Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.

Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.

An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.

Conclusion

No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.

With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.

All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.

Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

#túi_giấy_epacking_việt_nam #túi_giấy_epacking #in_túi_giấy_giá_rẻ #in_túi_giấy #epackingvietnam #tuigiayepacking

[bfxenon]

How to Choose the Most Link-Worthy Data Source for Your Content

Posted by Domenica

Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.

In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.

In this analysis, I looked at 1,474 client content campaigns across six different data source categories:

Client data

Social media

Participatory methods

Publicly available data

Survey

Germ swab

It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.

It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.

In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.

Managing expectations across content types

Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.

A press mention is defined as any time the content campaign was mentioned on a publisher’s website.

There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.

Publicly available data

For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.

While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.

Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.

And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.

I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.

Survey

Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.

While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.

Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.

As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.

Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.

Germ swab

From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.

Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?

Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.

Participatory methods

Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.

These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.

As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.

Social media

Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.

Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.

The best thing about using social media as a source for content is that it can be applied to all verticals.

The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.

For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.

While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.

Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.

Client data

Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.

You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.

Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.

Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.

An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.

Conclusion

No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.

With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.

All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.

Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

[timeblues]

How to Choose the Most Link-Worthy Data Source for Your Content

Posted by Domenica

Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.

In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.

In this analysis, I looked at 1,474 client content campaigns across six different data source categories:

Client data

Social media

Participatory methods

Publicly available data

Survey

Germ swab

It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.

It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.

In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.

Managing expectations across content types

Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.

A press mention is defined as any time the content campaign was mentioned on a publisher’s website.

There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.

Publicly available data

For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.

While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.

Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.

And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.

I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.

Survey

Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.

While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.

Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.

As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.

Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.

Germ swab

From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.

Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?

Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.

Participatory methods

Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.

These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.

As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.

Social media

Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.

Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.

The best thing about using social media as a source for content is that it can be applied to all verticals.

The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.

For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.

While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.

Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.

Client data

Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.

You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.

Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.

Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.

An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.

Conclusion

No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.

With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.

All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.

Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don't have time to hunt down but want to read!

from The Moz Blog https://ift.tt/2BLLSab More on https://seouk4.weebly.com/

[fmsmartchoicear]

How to Choose the Most Link-Worthy Data Source for Your Content

Posted by Domenica

Fractl has produced thousands of content marketing campaigns across every topic, and for the past seven years, we’ve been keeping track of each and every campaign in order to refine and improve the content we produce on behalf of our clients.

In my last post for Moz, I explained how to set realistic digital PR expectations for your content based on your niche. In this topic, I want to dive a little bit deeper into the data and share insights about how the source of your content can be just as important in determining how your content will perform.

In this analysis, I looked at 1,474 client content campaigns across six different data source categories:

Client data

Social media

Participatory methods

Publicly available data

Survey

Germ swab

It’s important to note that there are countless other data sources that we use for content campaigns every day at Fractl that are not mentioned in this article. In this analysis, each category has at least 20 campaigns, while some categories have several hundred campaigns.

It’s also important to note that averages were collected by excluding upper outliers. For campaigns that went “viral” and performed well above the norm, we excluded them in the calculation so as not to skew the averages higher.

In addition to sharing link and press averages, I will also be walking through how to produce pressworthy, sharable content from each data source and providing examples.

Managing expectations across content types

Across the entire sample of 1,474 campaigns, a project on average received 24 dofollow links and 89 press mentions in total.

A press mention is defined as any time the content campaign was mentioned on a publisher’s website.

There were some individual data source category averages that were on par with the sample average, while other categories deviated greatly from the sample average.

Publicly available data

For almost any niche out there, you can bet there is a publicly available data set available for use. Some examples include data from the CDC, the U.S. Census, colleges and universities, the WHO, and the TSA. The opportunities really are endless when it comes to using publicly available data as a methodology for your content.

While free data sets can be a treasure trove of information for your content, keep in mind that they’re not always the simplest to work with. They do require a lot of analysis to make sense of the massive amount of information in them, and to make the insights digestible for your audience.

Take for example a campaign we produced for a client called Neighborhood Names. The data was free from the US Census, but in order to make any sense of it, our researchers had to use QGIS, Python, text-mining, and phrasemachine (a text analysis API) just to narrow it down to what we were looking for.

And what were we looking for? Looking at neighborhood names across America seems boring at first, until you realize that certain words correspond to wealth.

I was the outreach specialist for this project, and by using the wealth angle, I was able to secure two notable placements on CNBC as well as a press mention on MSN. The project quickly made its way around the internet after that, earning 76 dofollow links and 202 total press mentions by the end of our reporting period.

Survey

Unlike scouring the internet for free data, using a survey as a methodology can be more costly. That being said, there is one major advantage to using a survey to shape your content: you can find out anything you want.

While publicly available data will tell a story, it’s not always the story you want to tell, and that’s where surveys come in.

Of course, when it comes to surveys, anyone can create one without paying attention to research method best practices. That's one of the problems we need to address. With “fake news” in the forefront of everyone’s minds in 2020, building trust with journalists and editors is of the utmost importance.

As content creators, we have a responsibility to ensure that content is not only attention-grabbing and entertaining, but also accurate and informative.

Survey campaigns, in particular, require you to analyze responses through a rigorous methodological lens. When collecting data for surveys, be sure to pay close attention to ethical upholdance, data validity, and fair visual representations.

Germ swab

From my own personal experience, germ swab content campaigns are the most fun, and often, the most disturbing. Fractl did some research a while back about the emotions that make content go viral, and oftentimes, germ swab campaigns hit all of the right emotions in the viral equation.

Negative emotions like disgust are often evoked when reviewing the results of germ swab campaigns. Our study found that when negative emotions are paired with emotions like anticipation or surprise, they can still achieve viral success (internet viral, not germ viral). What is more surprising than finding out the airplane tray table is dirtier than a toilet seat?

Publishers around the world seemed to think the content was surprising, too. This campaign performed above the norm for a typical content campaign earning 38 dofollows and 195 total press mentions — and this was before the COVID-19 pandemic.

Participatory methods

Participatory methods are campaigns that require active participation for the methodology. These are unique ideas — no two are alike. Some examples of campaigns that fall under the participatory methods category are when we had team members do a 30-day squat challenge, asked respondents to draw brand logos from memory, or when we literally drove from D.C. to NYC with a dash cam to record traffic violations.

These campaigns have a certain level of risk associated with them. They require a lot of upfront effort and planning without the promise of any return — and that’s scary for clients and for our team who put in tremendous effort to pull them off.

As you can see from the chart above, however, these ideas collectively performed right on par with other campaign types, and even better than survey methodologies for both the number of dofollow links and press mentions. In order to reap big benefits, it seems you need to be willing to take a big risk.

Social media

Social medIa as a data source is almost a no-brainer, right up there with survey methodologies and publicly available data sets. Unlike participatory methods campaigns, you don’t have to leave your computer in order to produce a campaign based on social media data.

Through our seven years of content creation, Fractl has produced campaigns based on data scrapes from Twitter, Instagram, Facebook, LinkedIn, Reddit, and more. From this experience, we know firsthand what kinds of social campaigns work and which ones fall flat.

The best thing about using social media as a source for content is that it can be applied to all verticals.

The biggest lesson we’ve learned from producing content based on social media data is that the methodology is typically subjective, so you need to keep the project lighthearted in nature in order to earn major coverage.

For example, we produced a campaign for a client in which we looked at Instagram posts with the hashtag #sexy and a geolocation. From this, we were able to glean the “sexiest” countries in the world as well as U.S. states.

While it would be impossible to learn what the actual sexiest places in the world were, (what does that even mean?) we were able to produce a fun campaign that used geo-bait to appeal to lighthearted publishers, like Glamour, E! Online, Women's Health, and Elite Daily.

Make sure that no matter the topic, whatever you produce contributes to an ongoing conversation. Statistics that don’t point to anything meaningful won’t be relevant for writers actually trying to add to the conversation.

Client data

Client data is often the most underappreciated data source for content marketers. You may be sitting on a wealth of actionable industry insights and not even know it.

You might think of internal data as only being useful for improving your internal processes at work, but it can also be valuable outside of your organization.

Unlike publicly available data, internal data is never-before-seen and 100% unique. Journalists eat this up because it means that you’re providing completely exclusive resources.

Think of this article, for example. This article is filled with data and insights that Fractl has gleaned after producing thousands of content marketing campaigns.

An added bonus of using internal data to craft your content is that, according to our analysis, it performs on par with surveys. Unlike surveys, though, it’s completely free.

Conclusion

No matter what methodology you’re using or vertical you’re creating content for, it’s important to realize that as content creators, we have an ethical and moral responsibility to create with an audience in mind.

With “fake news” on the forefront of everyone’s minds, building and maintaining trust with writers and editors is of the utmost importance.

All of the content you produce and promote must be assessed through a rigorous methodological lens to ensure that content is accurate and informative as well as eye-grabbing and entertaining.

Regardless of your methodology, if you don’t take the proper steps to make sure your data sources are accurate, you are contributing to the fake news epidemic.

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