#compare filter in GSC

[digitalmagnate]

How To Compare Search Queries In Google Search Console ||Google Search Console ||Digital Magnate

Hey everyone, welcome to my channel. In today's video, I'm going to show you how to compare search queries in Google Search Console. This is a great way to see what people are searching for when they find your website, and it can help you improve your SEO strategy. 𝗞𝗶𝗻𝗱𝗹𝘆 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝘁𝗼 𝗼𝘂𝗿 𝗰𝗵𝗮𝗻𝗻𝗲𝗹 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘃𝗶𝗱𝗲𝗼𝘀 Click here ➜https://www.youtube.com/c/Digitalmagnate/videos?sub_confirmation=1

Let’s get started!"Step 1: Open Google Search Console First, you need to open Google Search Console. If you don't have an account, you can create one for free.

Step 2: Click on the "Search Queries" report Once you're logged in, click on the "Search Queries" report in the left-hand menu.

Step 3: Select the date range you want to compare Next, select the date range you want to compare. You can compare any two date ranges, as long as they're within the past 90 days.

Step 4: Click on the "Compare" button Once you've selected your date range, click on the "Compare" button.

Step 5: Analyze the results Now, you'll be able to see a comparison of the search queries that people used to find your website in the two date ranges you selected. Conclusion That's how you compare search queries in Google Search Console. I hope this video was helpful. If you have any questions, please leave them in the comments below. Happy Google Search Console, and see you next time!"

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[skyboxeye]

Extracting sounds from Call of Duty: Modern Warfare Remastered (2016)

We'll use a combination of tools: Cordycep and Greyhound. The former will load MWR's game assets into memory, and the latter will read those assets and extract them into a usable format (e.g. WAV or FLAC for audio).

Initializing Cordycep for MWR

To set up Cordycep, we must first "dump" a Cordycep-friendly version of MWR's EXE. First, fully download MWR as Cordycep expects both singleplayer and multiplayer to be installed. Then, disconnect your computer from the internet and close your Steam/Battle.net clients*.

To create a "dump", run Cordycep.CLI.exe and execute:

dump "The full path to your h1_mp64_ship.exe"

Once complete, you should have a large EXE in your Cordycep's Data\Dumps folder.

We can now use Cordycep to load MWR assets into memory. Edit the included BAT file for MWR with your correct game directory path, and then execute it:

Cordycep.CLI.exe sethandler mwr init "F:\SteamClient\steamapps\common\Call of Duty Modern Warfare Remastered" setlocaleprefix "english\eng_" loadcommonfiles

This will load MWR's common assets, and start a common prompt session allowing us to load more.

*This step apparently prevents against anti-cheat programs triggering false-positives during extraction.

Loading a mission's assets into Cordycep

To load the assets for a given mission, we can use the load command:

load ac130

Note that doing this is very memory-intensive; you may only be able to load a few missions at a given time.

Extracting assets with Greyhound

With your Cordycep window still open, launch Greyhound and click Load Game. This should produce a list of assets - you can filter using the Search function. You may need to tweak your Settings to get sound assets to appear.

From here, we can select the desired assets and click Export Selected.

Batch loading mission assets

To write a full list of game files (and more) to Log.txt, we can use the listfiles command.

We can then narrow this list to mission files only, and store them in a dedicated file, which can subsequently be interpreted via the loadlist command. See Appendix 1 for an example TXT.

As noted above, this process will use an extremely large amount of memory; you may not be able to load the entire list!

Comparing MW (2007) and MWR (2017)

Most ambient assets are qualitatively different between releases - a sign that they were completely remade for MWR. For example, compare the waveforms for the MWR and MW ambient tracks, respectively:

I found some that were identical, however. Compare the rear surround track for the AC-130 mission:

Identifying sounds

This is non-trivial because the drawSnd commands of the IW3 engine games seemingly do not work here. The closest I came was using GSC-Tool on the compiled scripts inside each FF:

gsc-tool.exe -m decomp -g h1 -s pc airplane_fx.gscbin

We can then inspect sound scripts and triggers for clues about emitters and other ambiences.

Appendix 0: Getting the latest Greyhound and Cordycep releases

dest1yo's public Discord channels contain outdated versions of these tools. To download the latest versions, first support the creator on Ko-Fi and connect with Discord to unlock access to the server's private #tools channel.

Once downloaded, we can generate our license for the tool by sending the Aple Cat bot a DM with the !license-cordycep macro. The resulting CCL file must go in your Cordycep root directory.

Appendix 1: Sample loadlist file for loading all mission assets

ac130 aftermath airlift airplane ambush armada blackout bog_a bog_b cargoship coup hunted icbm jeepride killhouse launchfacility_a launchfacility_b scoutsniper sniperescape village_assault village_defend

Appendix 2: Capturing footage

Use H1-mod. For advice on removing the watermark, see my post on MW2.

Appendix 3: Other extraction tools for H1

You can dump FF "zone" files with x64-zt.

[teamrushipandit]

Google Adds Sticky Filters to the Search Console: What This Means for SEOs

For companies trying to maximize their online presence, staying up to date with Google developments is crucial. A feature called sticky filters was added to Google Search Console in the most recent update with the goal of making it easier for website owners and SEOs to use the tool. However, what are sticky filters and how do they affect your search engine optimization efforts? What Are Sticky Filters?

Sticky filters are a straightforward yet effective Google Search Console upgrade. Google Search Console filters used to reset whenever you changed a report after making any modifications, like choosing a date range or filtering on search appearance, until this upgrade. It might be really annoying for anyone who want to keep certain filters used in different Parts. With the advent of sticky filters, this is altered. Your favorite filters, such as date ranges, device type, or search appearance, now stay in place when you navigate between reports. By doing this, you may avoid continuously reapplying the same filters and keep a consistent view of all the various data points in Search Console. A recent addition to Google Search Console is the ability to use sticky filters, which maintain the filters you have chosen when you move between reports. In the past, GSC would reset every filter while switching between reports, which made the job more difficult. A more seamless and effective analysis is made possible by the sticky filters feature, which eliminates that inconvenience.

The advantages of sticky filters

Although sticky filters might appear to be a small adjustment, they provide digital marketers and SEOs a number of significant advantages:

1. Enhanced Productivity

By eliminating the need to reapply filters each time you switch views, sticky filters save time. This enables you to concentrate more on data analysis, which produces insights more quickly.

2.Improved Consistency of Data

You can make sure you’re examining the same subset of data in various reports by maintaining your filters. This consistency makes it easier to identify trends and draw more precise comparisons.

3. Improved User Experience

It gets easier to use Google Search Console, especially for people who are in charge of several websites or campaigns. Sticky filters make the console feel more user-friendly, which can benefit both novice and seasoned users.

How to Utilize Google Search Console's Sticky Filters

It’s simple to use sticky filters:

1. Put Your Filters in Place

Log into Google Search Console first. Select the filters you wish to use, such as search appearance (such as rich results), device type (such as mobile), or date range (such as the last 30 days).

2. Navigate Through Reports

Once your filters are established, go through the various categories, such as Performance, Coverage, and Enhancements. You’ll see that the filters you’ve selected stay in effect, which facilitates the analysis of comparable data in different settings.

3.Adapt as Needed:

Just update the filters as necessary, and the sticky filters will adapt as you go between reports.

Why This Change Is Important for SEO

In their daily work, SEOs often find that minor adjustments like sticky filters have a significant impact. This upgrade will:

Save Time: You can devote more time to trend analysis, content optimization, and data-driven decision-making if you spend less time reapplying filters.

Enhance Reporting: More accurate data reporting is made possible by maintaining filters across reports, which is essential for delivering insights to stakeholders or clients.

Simplify SEO Audits: Using the same filter settings for all reports during an SEO audit guarantees that you receive a comprehensive and targeted picture of the functionality of your website.

Conclusion

Sticky filters are a minor but important addition that Google added to Search Console to improve efficiency and usability. It’s a positive improvement that will facilitate and improve data analysis for SEOs and digital marketers. for more, visit now

[michaelandy101-blog]

Come One, Come All! The MozCon Digital 2021 Day One Recap

New Post has been published on https://tiptopreview.com/come-one-come-all-the-mozcon-virtual-2021-day-one-recap/

Come One, Come All! The MozCon Digital 2021 Day One Recap

Our favourite time of the yr is right here! The second ever MozCon Digital kicked off yesterday with attendees from over 35 nations. There have been networking rooms, picture sales space pics, and reside tweets. It nearly felt like we have been again collectively in a single place (simply minus the donuts).

Lack of donuts apart, everybody was tremendous excited to be again at MozCon for an additional action-packed convention. Day one’s audio system introduced their A-game and actually bought individuals pondering.

Already had a number of 🤯 moments at #MozCon and it’s solely Day 1! Can’t await tomorrow. Cheers!

— Kavi Kardos (@therarevos) July 12, 2021

For these of you who might have missed it, or these of you who had a tough time maintaining with this three ring circus, this is a fast recap!

Sarah Hen — Welcome to MozCon

Moz’s fearless chief began MozCon Digital off with a bang! She launched Moz Group, a results of the merger with J2. Then, she introduced two product releases — one in alpha and one in beta! Each will probably be additional defined by Mozzers later within the week.

A giant announcement throughout the opening session at #MozCon right now: “The Moz Group” is now a set of manufacturers and applied sciences for digital entrepreneurs: pic.twitter.com/F62glc6b89

— Rob Ousbey (@RobOusbey) July 12, 2021

Sarah’s introduction concluded with a shifting tribute to Russ Jones. You’ll be able to share your personal recollections with Russ or donate to his household at RememberingRussJones.com. 

Shannon McGuirk — Classes in Surviving the Covid Information Agenda & What it Means for the Way forward for Digital PR

As at all times, Shannon began out sturdy with some radical transparency. She walked us by Aira’s journey by COVID and the way it modified every part. 

I’ve a lot love for @ShannonMcGuirk_‘s uncooked honesty #MozCon 💙 pic.twitter.com/lxo08YJS4K

— Areej AbuAli (@areej_abuali) July 12, 2021

In previous MozCon shows, Shannon has proven us the outreach methods that Aira has relied on for a number of years, however 2020 threw everybody for a loop. Within the first two weeks of lockdown, Aira misplaced 50% of their income. One thing needed to change.

Really, every part needed to change.

We bought perception into Aira’s three-prong, PR future-proofing system that developed in consequence:

Ideation: utilizing the ROR framework of relevancy, opinion, decision

Manufacturing: create confirmed frameworks that may be personalized on your shopper

Promotion: by accessing, speaking, and having perspective

Shannon gave us the nitty gritty of how this method works for Aira, full with precise photographs of their best-performing, always-ready frameworks. Truthfully, it felt like we have been seeing one thing confidential, however we have been right here for it.

Um, I believe @ShannonMcGuirk_ is sharing some *critical* @Ariadigital secrets and techniques right here…

They’ve templates for manufacturing which are wireframed and customizable.

They run TONS of campaigns off of THREE fundamental templates.#MozConpic.twitter.com/6PcZ3lIlee

— Brie E Anderson (@brie_e_anderson) July 12, 2021

Flavilla Fongang — The Science of Buying Habits: The right way to Use it Successfully to Appeal to & Convert Extra Prospects Into Clients

Flavilla was able to prescribe some tactical medication to these seeking to enhance their conversion fee. She jumped proper in with explaining how our brains operate. Ya know, limbic system, neocortex, and reptilian mind? Don’t fear, we didn’t both!

She broke them down because the emotional mind (limbic), rational (neocortex), and combat or flight (reptilian). Then Flavilla requested the massive query: which mind has essentially the most influence on shopping for selections? The reply (which shocked most) was the reptilian mind.

Flavilla took us by six methods the reptilian mind will be stimulated.

Killer slide from @FlavillaFongang#mozconpic.twitter.com/6N5OC5jlOz

— Noah Learner (He/Him) (@noahlearner) July 12, 2021

But it surely wouldn’t be a MozCon presentation with out one thing that may be put into motion right now. Flavilla dropped all types of techniques to check: placing the CTA nearer to the buyer’s image, utilizing the ability of the gaze, tapping into unfavorable emotion, displaying distinction (suppose earlier than and after), and placing a very powerful info first.

We may have listened to Flavilla speak all day lengthy. Listening to her tackle purchaser conduct was a bit like trying right into a glass ball and getting solutions to all of our questions. We are able to’t wait to place it into motion!

Dr. Pete Meyers — Rule Your Rivals: From Information to Motion

At all times a crowd pleaser, Dr. Pete confirmed off a brand new Moz instrument at present in Beta: True Competitor. True Competitor is a mission Moz has been engaged on for the previous couple of years, and this yr it’s lastly able to take the stage! (You’ll be able to request early entry to True Competitor right here.)

Dr. Pete used the brand new instrument to remind us that these we assume to be our rivals generally aren’t truly our competitors in any respect. As an alternative of specializing in who we predict we’re shedding visitors to, we must be centered on who’s stopping us from making money.

There is a huge distinction between who you “think” your competitors is and who you compete with within the SERPs. #MozCon

— Jason Dodge (@dodgejd) July 12, 2021

Utilizing the brand new True Competitor instrument, and some cool search modifiers, Dr. Pete was capable of finding some alternative key phrases to check out.

The method seemed a bit like this:

Use True Competitor to determine potential key phrases

Use search modifiers to search out the rating pages for the competitors

Discover Moz’s present rating content material

Create content material utilizing the same key phrases

Hyperlink to essentially the most up to date and related content material

Get Key phrases, competitor pages, and my greatest piece of content material to compete with: @dr_pete#mozconpic.twitter.com/VFk5beIbvI

— Noah Learner (He/Him) (@noahlearner) July 12, 2021

We knew that Dr. Pete would convey the warmth, but it surely’s protected to say he outdid himself this yr. 

Nice speak by @dr_pete from the #mozcon. Take aways: Do not make assumptions about your rivals Don’t make an enormous novel – give you a plan together with what’s lacking out of your website content material points. Monitor what works/what would not and amend accordingly. @Mozpic.twitter.com/pnUWqeL2vX

— J Turnbull (@SEOJoBlogs) July 12, 2021

Noah Learner — Sport-Altering Methods to Use the Google Search Console API

This primary-time MozCon speaker got here able to play! Straight away, Noah gave us some perspective on the precise limitations of Google Search Console. As most of us know, Search Console solely offers you entry to 1,000 rows. Properly, Noah knew that there was much more knowledge to be seen and began dabbling with the API.

Apparently this led to a 15-hour journey down the GSC rabbit gap, as Noah began engaged on making a customized Google Search Console instrument utilizing Massive Question and Google Information Studio. This instrument, Explorer for Search, has already gotten some buzz from these within the trade.

If you have not seen Search Explorer from @noahlearner and Two Octobers you are lacking out. Native GSC is abysmal compared. #MozCon

— Taylor Murchison (@TaylorMurchison) July 12, 2021

Truthfully, for those who take a look at the Twitter feed for #MozCon, there aren’t a ton of tweets as a result of no one may sustain with him! Noah moved quickly by precisely how he constructed Explorer for Search along with his staff, and the way they’re utilizing it.

Loving this putting distance report @noahlearner is displaying off #Mozconpic.twitter.com/VgUa1CeAcC

— Jordan Choo (@JordanChoo) July 12, 2021

Nearly immediately, Noah and his staff discovered over $300,000 of key phrases that weren’t accessible in Search Console. They did this by constructing in place sorting, high of funnel/ backside of funnel sorting, branded vs. non branded filters, and extra.

We can not wait to play with this and get began with the Search Console API!

Dana DiTomaso — Construct for Search: Fashionable Internet Dev That Places search engine marketing First

A very long time MozCon favourite, Dana DiTomaso placed on her coach’s hat for this yr’s session. Far too usually, we discover ourselves in awkward conditions that require us to scrap all of our work and begin over once more.

“Developers [also] come in way too late […] and come in and say, “oh, I can’t do that” […] or “this isn’t going to work on mobile,” and now it’s important to begin the design over again. @danaditomaso#MozCon

— Melina Beeston (@mkbeesto) July 12, 2021

Dana bumped into this fashion too many instances, so she and her staff got here up with a greater answer. She was able to make us, and our internet dev processes, agile(ish).

She confirmed us her staff’s total course of from presenting key phrase analysis (IN A PIE CHART?!), to utilizing GatherContent to create an internet site blueprint for shoppers, all the way in which to wireframe creation and presentation.

search engine marketing tasks should not be finished in silos.

search engine marketing, UX, Design, Dev, & Content material groups ought to all be concerned early and sometimes(as wanted).

The Agile mission administration methodology is a good framework that makes this simple to do.

Insights from @danaditomaso ‘s speak #mozconpic.twitter.com/Fl5B8ncSG0

— Ọla King (@justolaking) July 12, 2021

At every step, anybody can leap in and see what’s going on and add to the dialog or course of. It’s far much less linear and permits for extra collaboration.

Jackie Chu — Internationalization Errors: The right way to Go World With out Shedding All of Your Site visitors

With a observe report like Jackie’s, it’s arduous to think about not blowing minds. Jackie began by explaining one of the complicated search engine marketing ideas: Hreflang. This clarification led to a couple tactical solutions proper off of the bat:

Outline goal language and nation

Self-canonicalize all URLs

Use constant URL patterns

Truthfully, there have been so many takeaways from this presentation that they have been arduous to maintain observe of. Think about, all of that info on Hreflang alone was within the first 17 slides… and this presentation was 60 slides lengthy!

Nice tip by @jackiecchu about utilizing additional indicators past hreflang to indicate Google which model of your website is focused to which worldwide viewers, similar to linking to that nation’s respective social profiles, or enhancing the NAP to mirror that nation’s data.#mozconpic.twitter.com/2T24euwRyZ

— Lily Ray 😏 (@lilyraynyc) July 12, 2021

You’ll positively wish to revisit this presentation within the video bundle, accessible Friday, to glean all insights doable! 

Cyrus Shepard — Mastering three Click on + Engagement Alerts for Larger Rankings/Site visitors

Cyrus, a long-time MozCon emcee, takes the stage himself this yr to debate how Google might — or might not — use consumer engagement indicators as an enter in rating web sites.

Cyrus began by explaining how 20 years of Google patents describe three various kinds of click on indicators they might measure: first clicks, lengthy clicks, and final clicks. He then walked by a large number of small-scale search engine marketing experiments that tried to affect these click on indicators to see if he may affect rankings.

Among the experiments included:

Optimizing Meta Descriptions in non-traditional methods

Eradicating Title Tag “Boilerplate”

Enhancing the visibility of “Related Articles”

Including FAQs

Do not do it. For the love of God. Do not do it.#MozCon@CyrusShepardpic.twitter.com/hWxCxLlpju

— Brie E Anderson (@brie_e_anderson) July 12, 2021

Lastly, Cyrus shared some case research together with the migration of the Moz Q&A — which concerned over 100,000 URLs — and the way they improved consumer engagement.

What an amazing URL path migration course of and conduction from @Moz‘s search engine marketing staff! Shifting the Q&A piece with some necessary guidelines is one thing, but in addition, in terms of user-generated content material, it is arduous to alter. So @CyrusShepard got here with over 16% success after that. #MozConpic.twitter.com/bIHk8uVHA6

— Roman Adamita (@AdamitaRoman) July 12, 2021

On the finish, Cyrus emphasised that search engine marketing is just not about manipulating numbers, however that “User satisfaction is ranking factor #1.” After watching this presentation, you will positively stroll away with a number of concepts for participating your customer.

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[softtrending02]

Top SEO Trends 2021 that you must need to know

Search engine optimization, or SEO, is possibly the most constant and valuable marketing channel available to any marketer. In fact, according to Merkle’s 2019 Digital Media study, SEO accounted for 22% of all website visitors in 2019.

Despite popular belief, SEO is not dead, and, as evidenced by the graph above, it is really expanding. SEO is here to stay, but that doesn’t imply the SEO you’re familiar with now will be the SEO you see in a few years. That’s why staying current and knowing what Google may throw at you in 2021 and beyond is critical.

User focus

Search intent and conversion

Page experience and core web vitals

Adapt quickly

Content depth

Internal linking

Automation

Local search

Creativity

SEO Scalability

User focus

When it comes to SEO, one of the best SEO leaders I’ve ever worked with preached a simple but deep adage: “What’s good for the user is good for SEO (and Google).”

This statement was accurate ten years ago and is true now. Google wants to give users, or searchers, the greatest experience possible. As a result, when Google sends a person to your site through their search engine results page (SERP), they want that user to be happy. If they are, the user will return to Google the next time they need to conduct a search.

In an interview with Search Engine Journal, Lily Ray, SEO Director at Path Interactive, summed up this entire approach perfectly: “Above all, a solid SEO plan should begin with putting oneself in the shoes of the user and determining whether the content is actually helpful, the brand is trustworthy, and the website is simple to navigate.”

Search intent and conversion

When your content or SEO teams get down to develop a new piece of content, they should check the search engine results page first (SERP). Go to the SERP before looking at SEMRush, Google Search Console (GSC), or any other SEO tool. The SERP displays what Google considers to be the most relevant results for the user’s query. When you go after that question or related search phrases, Google is telling you what kind of content you should develop. You will undoubtedly lag behind if you do not learn how to match this intent.

Marie Haynes, the president and CEO of Marie Haynes Consulting Inc., concurs. According to Search Engine Journal, “Google will get even better at recognizing when a searcher is looking for expert advice and will rank those pieces above articles created by content writers who lack E-A-T.” “Those SEO professionals who can properly understand how to meet a searcher’s wants will be successful in 2021.”

You’ll receive more conversions when the user is ready if you meet those demands. The purpose of SEO is to increase organic traffic as well as leads for your company. If a site can generate millions of sessions without being monetized, it is worthless. As a result, when a user lands on a lower-funnel page, you must make it as simple and quick as possible to lead them to the finish line by making your funnel simple and quick to utilize. If a visitor comes to an article after conducting an informational search, don’t push them down the funnel too quickly since they’re probably not ready – and you’ll lose the lead forever. Use the information you’ve gathered about the user’s purpose by page type to direct them to the next most logical page in your product funnel.

Page experience and core web vitals

According to Areej AbuAli, SEO Manager at Zoopla, page experience metrics can no longer be ignored with Google implementing Core Web Vitals as ranking criteria in 2021.

“Websites and businesses must make them a priority to avoid falling behind their competitors,” Abu Ali said. “Take advantage of the data offered by tools like Lighthouse and Crux API. Page speed, mobile-friendliness, rendering, image optimization, and security standards are all things that need to be optimized.”Furthermore, Rachel Costello, Builtvisible’s Technical SEO Consultant, stated that we should consider how a website makes a user feel rather than whether it is accessible and clear to a search engine crawler.

“As part of this, we’ll take a user-centric approach to our optimization efforts, with a particular focus on:

The speed with which pages load.

How quickly pages respond to user interactions.

On mobile devices, how easy it is to use and navigate a website.

The site’s connection’s safety and security when users are browsing it.

“Including page experience in your SEO strategy will not only help to future-proof your website’s performance and rankings ahead of the next algorithm upgrade, but it can also help to boost UX and conversions now,” said Costello.

According to Jess Peck, Senior Analytics Consultant at CVS, you must also ensure that Google can get the finest content on your site from everywhere – and that your site has a measurably better user interface than your competitors.

“Measure, test, and look at your material with machine learning – this will give you a significant step up,” Peck added. “Google’s concentration on Core Web Vitals demonstrates that they’re starting to measure how bothersome websites may be, so provide a pleasant experience for your users and Google will reciprocate.”

Adapt quickly

According to Motoko Hunt, President & International Search Marketing Consultant, AJPR, in 2021, be prepared to work harder than ever before to assess, adapt, and execute.

While basic skills and knowledge are still necessary, your brain must be adaptable in order to keep up with the quick changes.

“It will be more vital than ever to think beyond the box. There are still business options available. If you don’t know where to look, simply figure out where they went,” Hunt added. In 2021, being proactive will be critical, according to Corey Morris, Voltage’s Chief Strategy Officer.

“Perhaps this is more of a theme or mindset than a trend,” Morris said, “but seeing it as a recognized necessity and something many people are coming to makes it a trend for me.”Now is the moment to become organized, make a strategy, create a system, and move forward.”

According to Andy Betts, Search and Digital Advisor & Consultant, a transition to more strategic SEO will be important in 2021 to stay relevant and top of mind for customers’ attention. He suggests shifting your focus from a single concentration on consumer behavior to a two-step process that includes first learning about the market in which these consumers operate.

“Take a more strategic and holistic approach to understand what’s going on in the market, where demand has altered historically, and where demand is shifting in real-time,” Betts advised.“Use a consultative approach to learn how economic, sociological, and psychological aspects influence search demand, and then dig further into consumer behavior and purpose. Make use of all business intelligence tools, platforms, and sources available to you.”

Content depth

Both Google and users must have faith in your expertise. Expertise, Authority, and Trustworthiness, or EAT, are ranking variables, after all. However, people need to see that you know everything there is to know about your subject outside of Google. If a person is looking for information on artificial intelligence, they don’t want to have to go to many websites to find it. Consider the following description of Built In’s artificial intelligence content: An ideal informational blog style is to have one page with all of the content available, as well as links to other related content.

More often than not, longer content is required to demonstrate your competence. Longreads (articles with 7,000 words or more) are the absolute leaders in terms of content performance, according to a 2019 SEMRush study that was recently updated this month, driving nearly four times more traffic than articles of ordinary length (900-1,200 words).

Short content isn’t going to make it in the SEO world. Demonstrate to your users that you are the expert in your subject. The effects will be felt by returning users, Google, and your organic rankings.

Internal linking

Internal linking isn’t on many SEO trend lists, despite the fact that it’s been critical to SEO for decades. However, just because a strategy is old doesn’t mean it’s no longer effective. Internal linking is essential for both your users and Google to find the sites that are important to you.

In any case, having a clear site structure that allows users to flow effortlessly from one page to the next would aid both users and Google in finding important, fresh, and updated material. To achieve so, use the following strategies:

Content hubs consist of a single pillar page with articles relating to that topic connected to it.

Faceted navigation: E-commerce sites use filters and facets to allow customers to swiftly narrow down a product set by color, style, or other characteristics.

Linkbacks: A collection of links to similar products at the bottom of your product pages.

Related hyperlinks: In your blogs, include connections to other sites that are comparable to yours.

Automation

The possibilities for 2021 will be mind-boggling, according to Hamlet Batista, CEO of RankSense. “If we look back at the increasing number of SEO tasks that we are able to automate in 2020 (structured data generation, quality content, etc. ), the possibilities for 2021 will be mind-boggling,” he said. Related web addresses: Link to other similar companies in your weblog.

“The quality and quantity of AI-generated content are expected to skyrocket. It will undoubtedly make it more difficult for search engines to keep spam out of the index,” Batista said. “The key focus will be on human-in-the-loop automation to ensure that the value for search users is high in order to avoid penalties and remain competitive.”

One of the major trends in SEO for 2021, according to Jesse McDonald, Global SEO Strategist | Optimization Lead, IBM, is the continuous focus on establishing more scalable optimization solutions using automation, especially among in-house positions.

“In the last few years, a growing number of industry-leading tools that many SEO practitioners utilize in their daily work have released automated functionality to roll out site improvements. It’s almost like adding another execution member to the team,” McDonald explained.

“The ramifications of this are particularly fascinating for in-house roles,” he continued, “because it can help deploy low-hanging fruit elements without having to explain the relevance of the change to move to the top of the sprint schedule.” “As a result, the SEO can concentrate on other key components for increasing site performance.”

Local search

Traditional, in-person retailers have traditionally benefited from local SEO. Local SEO, on the other hand, has grown considerably in recent years. Google has recently begun to prioritize local news in its search results.

Every day, featured snippets and zero-click searches become increasingly common. Many zero-click searches are local searches that display the results in a “local pack” on the SERP. Even if you don’t have a physical presence, I strongly advise you to set up a Google My Business account and keep it up to date.

Local SEO can also be used in the following ways:

Profit from local keywords.

Use online business directories to your advantage.

Build content around local events, news stories, and specific locations, similar to Built In Chicago or Built-In San Francisco.

Creativity

Finally, it’s time to be creative with your search engine optimization. Change is a major subject throughout the work. SEO isn’t going away, but it’s changing at a breakneck pace. Much of what worked in the past will not work in the future. Keyword stuffing and article syndication, after all, were once highly successful SEO strategies. Today, however, these antiquated strategies will not only fail, but they may also result in Google penalties.

As a result, it’s critical that you keep up with the latest trends and try out new techniques. Don’t be frightened to venture into unfamiliar territory. But don’t go all-in until you’ve proven that your experiments are successful.

SEO Scalability

According to Mark Traphagen, Vice President of Product Marketing and Training at seoClarity, 2021 should be the year to incorporate scalability into your SEO strategy if you want to stay ahead of the competition.

How?

Traphagen shared these three tips:

Make a list of all the usual tasks, activities, and workflows you perform. Determine which stages in each of these could be automated or handled more efficiently with the help of a tool.

Set up an alert system to track significant changes in things like keyword ranks, flip-flopping URLs ranking for the same keyword (URL cannibalism), page content changes, URL changes, and so on.

Create SoPs (Standard Operating Procedures) for any repetitive processes you can’t automate so your team doesn’t have to reinvent the wheel every time they need to be done.

The post Top SEO Trends 2021 that you must need to know appeared first on Soft Trending.

from Soft Trending https://ift.tt/3k1B9fV via softtrending

[digitalmagnate]

How To Compare Search Queries In Google Search Console ||Google Search Console ||Digital Magnate

#Google_Search_Console, #Search_query_comparison,

[softtrending04]

Top SEO Trends 2021 that you must need to know

Search engine optimization, or SEO, is possibly the most constant and valuable marketing channel available to any marketer. In fact, according to Merkle’s 2019 Digital Media study, SEO accounted for 22% of all website visitors in 2019.

Despite popular belief, SEO is not dead, and, as evidenced by the graph above, it is really expanding. SEO is here to stay, but that doesn’t imply the SEO you’re familiar with now will be the SEO you see in a few years. That’s why staying current and knowing what Google may throw at you in 2021 and beyond is critical.

User focus

Search intent and conversion

Page experience and core web vitals

Adapt quickly

Content depth

Internal linking

Automation

Local search

Creativity

SEO Scalability

User focus

When it comes to SEO, one of the best SEO leaders I’ve ever worked with preached a simple but deep adage: “What’s good for the user is good for SEO (and Google).”

This statement was accurate ten years ago and is true now. Google wants to give users, or searchers, the greatest experience possible. As a result, when Google sends a person to your site through their search engine results page (SERP), they want that user to be happy. If they are, the user will return to Google the next time they need to conduct a search.

In an interview with Search Engine Journal, Lily Ray, SEO Director at Path Interactive, summed up this entire approach perfectly: “Above all, a solid SEO plan should begin with putting oneself in the shoes of the user and determining whether the content is actually helpful, the brand is trustworthy, and the website is simple to navigate.”

Search intent and conversion

When your content or SEO teams get down to develop a new piece of content, they should check the search engine results page first (SERP). Go to the SERP before looking at SEMRush, Google Search Console (GSC), or any other SEO tool. The SERP displays what Google considers to be the most relevant results for the user’s query. When you go after that question or related search phrases, Google is telling you what kind of content you should develop. You will undoubtedly lag behind if you do not learn how to match this intent.

Marie Haynes, the president and CEO of Marie Haynes Consulting Inc., concurs. According to Search Engine Journal, “Google will get even better at recognizing when a searcher is looking for expert advice and will rank those pieces above articles created by content writers who lack E-A-T.” “Those SEO professionals who can properly understand how to meet a searcher’s wants will be successful in 2021.”

You’ll receive more conversions when the user is ready if you meet those demands. The purpose of SEO is to increase organic traffic as well as leads for your company. If a site can generate millions of sessions without being monetized, it is worthless. As a result, when a user lands on a lower-funnel page, you must make it as simple and quick as possible to lead them to the finish line by making your funnel simple and quick to utilize. If a visitor comes to an article after conducting an informational search, don’t push them down the funnel too quickly since they’re probably not ready – and you’ll lose the lead forever. Use the information you’ve gathered about the user’s purpose by page type to direct them to the next most logical page in your product funnel.

Page experience and core web vitals

According to Areej AbuAli, SEO Manager at Zoopla, page experience metrics can no longer be ignored with Google implementing Core Web Vitals as ranking criteria in 2021.

“Websites and businesses must make them a priority to avoid falling behind their competitors,” Abu Ali said. “Take advantage of the data offered by tools like Lighthouse and Crux API. Page speed, mobile-friendliness, rendering, image optimization, and security standards are all things that need to be optimized.”Furthermore, Rachel Costello, Builtvisible’s Technical SEO Consultant, stated that we should consider how a website makes a user feel rather than whether it is accessible and clear to a search engine crawler.

“As part of this, we’ll take a user-centric approach to our optimization efforts, with a particular focus on:

The speed with which pages load.

How quickly pages respond to user interactions.

On mobile devices, how easy it is to use and navigate a website.

The site’s connection’s safety and security when users are browsing it.

“Including page experience in your SEO strategy will not only help to future-proof your website’s performance and rankings ahead of the next algorithm upgrade, but it can also help to boost UX and conversions now,” said Costello.

According to Jess Peck, Senior Analytics Consultant at CVS, you must also ensure that Google can get the finest content on your site from everywhere – and that your site has a measurably better user interface than your competitors.

“Measure, test, and look at your material with machine learning – this will give you a significant step up,” Peck added. “Google’s concentration on Core Web Vitals demonstrates that they’re starting to measure how bothersome websites may be, so provide a pleasant experience for your users and Google will reciprocate.”

Adapt quickly

According to Motoko Hunt, President & International Search Marketing Consultant, AJPR, in 2021, be prepared to work harder than ever before to assess, adapt, and execute.

While basic skills and knowledge are still necessary, your brain must be adaptable in order to keep up with the quick changes.

“It will be more vital than ever to think beyond the box. There are still business options available. If you don’t know where to look, simply figure out where they went,” Hunt added. In 2021, being proactive will be critical, according to Corey Morris, Voltage’s Chief Strategy Officer.

“Perhaps this is more of a theme or mindset than a trend,” Morris said, “but seeing it as a recognized necessity and something many people are coming to makes it a trend for me.”Now is the moment to become organized, make a strategy, create a system, and move forward.”

According to Andy Betts, Search and Digital Advisor & Consultant, a transition to more strategic SEO will be important in 2021 to stay relevant and top of mind for customers’ attention. He suggests shifting your focus from a single concentration on consumer behavior to a two-step process that includes first learning about the market in which these consumers operate.

“Take a more strategic and holistic approach to understand what’s going on in the market, where demand has altered historically, and where demand is shifting in real-time,” Betts advised.“Use a consultative approach to learn how economic, sociological, and psychological aspects influence search demand, and then dig further into consumer behavior and purpose. Make use of all business intelligence tools, platforms, and sources available to you.”

Content depth

Both Google and users must have faith in your expertise. Expertise, Authority, and Trustworthiness, or EAT, are ranking variables, after all. However, people need to see that you know everything there is to know about your subject outside of Google. If a person is looking for information on artificial intelligence, they don’t want to have to go to many websites to find it. Consider the following description of Built In’s artificial intelligence content: An ideal informational blog style is to have one page with all of the content available, as well as links to other related content.

More often than not, longer content is required to demonstrate your competence. Longreads (articles with 7,000 words or more) are the absolute leaders in terms of content performance, according to a 2019 SEMRush study that was recently updated this month, driving nearly four times more traffic than articles of ordinary length (900-1,200 words).

Short content isn’t going to make it in the SEO world. Demonstrate to your users that you are the expert in your subject. The effects will be felt by returning users, Google, and your organic rankings.

Internal linking

Internal linking isn’t on many SEO trend lists, despite the fact that it’s been critical to SEO for decades. However, just because a strategy is old doesn’t mean it’s no longer effective. Internal linking is essential for both your users and Google to find the sites that are important to you.

In any case, having a clear site structure that allows users to flow effortlessly from one page to the next would aid both users and Google in finding important, fresh, and updated material. To achieve so, use the following strategies:

Content hubs consist of a single pillar page with articles relating to that topic connected to it.

Faceted navigation: E-commerce sites use filters and facets to allow customers to swiftly narrow down a product set by color, style, or other characteristics.

Linkbacks: A collection of links to similar products at the bottom of your product pages.

Related hyperlinks: In your blogs, include connections to other sites that are comparable to yours.

Automation

The possibilities for 2021 will be mind-boggling, according to Hamlet Batista, CEO of RankSense. “If we look back at the increasing number of SEO tasks that we are able to automate in 2020 (structured data generation, quality content, etc. ), the possibilities for 2021 will be mind-boggling,” he said. Related web addresses: Link to other similar companies in your weblog.

“The quality and quantity of AI-generated content are expected to skyrocket. It will undoubtedly make it more difficult for search engines to keep spam out of the index,” Batista said. “The key focus will be on human-in-the-loop automation to ensure that the value for search users is high in order to avoid penalties and remain competitive.”

One of the major trends in SEO for 2021, according to Jesse McDonald, Global SEO Strategist | Optimization Lead, IBM, is the continuous focus on establishing more scalable optimization solutions using automation, especially among in-house positions.

“In the last few years, a growing number of industry-leading tools that many SEO practitioners utilize in their daily work have released automated functionality to roll out site improvements. It’s almost like adding another execution member to the team,” McDonald explained.

“The ramifications of this are particularly fascinating for in-house roles,” he continued, “because it can help deploy low-hanging fruit elements without having to explain the relevance of the change to move to the top of the sprint schedule.” “As a result, the SEO can concentrate on other key components for increasing site performance.”

Local search

Traditional, in-person retailers have traditionally benefited from local SEO. Local SEO, on the other hand, has grown considerably in recent years. Google has recently begun to prioritize local news in its search results.

Every day, featured snippets and zero-click searches become increasingly common. Many zero-click searches are local searches that display the results in a “local pack” on the SERP. Even if you don’t have a physical presence, I strongly advise you to set up a Google My Business account and keep it up to date.

Local SEO can also be used in the following ways:

Profit from local keywords.

Use online business directories to your advantage.

Build content around local events, news stories, and specific locations, similar to Built In Chicago or Built-In San Francisco.

Creativity

Finally, it’s time to be creative with your search engine optimization. Change is a major subject throughout the work. SEO isn’t going away, but it’s changing at a breakneck pace. Much of what worked in the past will not work in the future. Keyword stuffing and article syndication, after all, were once highly successful SEO strategies. Today, however, these antiquated strategies will not only fail, but they may also result in Google penalties.

As a result, it’s critical that you keep up with the latest trends and try out new techniques. Don’t be frightened to venture into unfamiliar territory. But don’t go all-in until you’ve proven that your experiments are successful.

SEO Scalability

According to Mark Traphagen, Vice President of Product Marketing and Training at seoClarity, 2021 should be the year to incorporate scalability into your SEO strategy if you want to stay ahead of the competition.

How?

Traphagen shared these three tips:

Make a list of all the usual tasks, activities, and workflows you perform. Determine which stages in each of these could be automated or handled more efficiently with the help of a tool.

Set up an alert system to track significant changes in things like keyword ranks, flip-flopping URLs ranking for the same keyword (URL cannibalism), page content changes, URL changes, and so on.

Create SoPs (Standard Operating Procedures) for any repetitive processes you can’t automate so your team doesn’t have to reinvent the wheel every time they need to be done.

The post Top SEO Trends 2021 that you must need to know appeared first on Soft Trending.

from Soft Trending https://ift.tt/3k1B9fV via softtrending

[softtrending01]

Top SEO Trends 2021 that you must need to know

Search engine optimization, or SEO, is possibly the most constant and valuable marketing channel available to any marketer. In fact, according to Merkle’s 2019 Digital Media study, SEO accounted for 22% of all website visitors in 2019.

Despite popular belief, SEO is not dead, and, as evidenced by the graph above, it is really expanding. SEO is here to stay, but that doesn’t imply the SEO you’re familiar with now will be the SEO you see in a few years. That’s why staying current and knowing what Google may throw at you in 2021 and beyond is critical.

User focus

Search intent and conversion

Page experience and core web vitals

Adapt quickly

Content depth

Internal linking

Automation

Local search

Creativity

SEO Scalability

User focus

When it comes to SEO, one of the best SEO leaders I’ve ever worked with preached a simple but deep adage: “What’s good for the user is good for SEO (and Google).”

This statement was accurate ten years ago and is true now. Google wants to give users, or searchers, the greatest experience possible. As a result, when Google sends a person to your site through their search engine results page (SERP), they want that user to be happy. If they are, the user will return to Google the next time they need to conduct a search.

In an interview with Search Engine Journal, Lily Ray, SEO Director at Path Interactive, summed up this entire approach perfectly: “Above all, a solid SEO plan should begin with putting oneself in the shoes of the user and determining whether the content is actually helpful, the brand is trustworthy, and the website is simple to navigate.”

Search intent and conversion

When your content or SEO teams get down to develop a new piece of content, they should check the search engine results page first (SERP). Go to the SERP before looking at SEMRush, Google Search Console (GSC), or any other SEO tool. The SERP displays what Google considers to be the most relevant results for the user’s query. When you go after that question or related search phrases, Google is telling you what kind of content you should develop. You will undoubtedly lag behind if you do not learn how to match this intent.

Marie Haynes, the president and CEO of Marie Haynes Consulting Inc., concurs. According to Search Engine Journal, “Google will get even better at recognizing when a searcher is looking for expert advice and will rank those pieces above articles created by content writers who lack E-A-T.” “Those SEO professionals who can properly understand how to meet a searcher’s wants will be successful in 2021.”

You’ll receive more conversions when the user is ready if you meet those demands. The purpose of SEO is to increase organic traffic as well as leads for your company. If a site can generate millions of sessions without being monetized, it is worthless. As a result, when a user lands on a lower-funnel page, you must make it as simple and quick as possible to lead them to the finish line by making your funnel simple and quick to utilize. If a visitor comes to an article after conducting an informational search, don’t push them down the funnel too quickly since they’re probably not ready – and you’ll lose the lead forever. Use the information you’ve gathered about the user’s purpose by page type to direct them to the next most logical page in your product funnel.

Page experience and core web vitals

According to Areej AbuAli, SEO Manager at Zoopla, page experience metrics can no longer be ignored with Google implementing Core Web Vitals as ranking criteria in 2021.

“Websites and businesses must make them a priority to avoid falling behind their competitors,” Abu Ali said. “Take advantage of the data offered by tools like Lighthouse and Crux API. Page speed, mobile-friendliness, rendering, image optimization, and security standards are all things that need to be optimized.”Furthermore, Rachel Costello, Builtvisible’s Technical SEO Consultant, stated that we should consider how a website makes a user feel rather than whether it is accessible and clear to a search engine crawler.

“As part of this, we’ll take a user-centric approach to our optimization efforts, with a particular focus on:

The speed with which pages load.

How quickly pages respond to user interactions.

On mobile devices, how easy it is to use and navigate a website.

The site’s connection’s safety and security when users are browsing it.

“Including page experience in your SEO strategy will not only help to future-proof your website’s performance and rankings ahead of the next algorithm upgrade, but it can also help to boost UX and conversions now,” said Costello.

According to Jess Peck, Senior Analytics Consultant at CVS, you must also ensure that Google can get the finest content on your site from everywhere – and that your site has a measurably better user interface than your competitors.

“Measure, test, and look at your material with machine learning – this will give you a significant step up,” Peck added. “Google’s concentration on Core Web Vitals demonstrates that they’re starting to measure how bothersome websites may be, so provide a pleasant experience for your users and Google will reciprocate.”

Adapt quickly

According to Motoko Hunt, President & International Search Marketing Consultant, AJPR, in 2021, be prepared to work harder than ever before to assess, adapt, and execute.

While basic skills and knowledge are still necessary, your brain must be adaptable in order to keep up with the quick changes.

“It will be more vital than ever to think beyond the box. There are still business options available. If you don’t know where to look, simply figure out where they went,” Hunt added. In 2021, being proactive will be critical, according to Corey Morris, Voltage’s Chief Strategy Officer.

“Perhaps this is more of a theme or mindset than a trend,” Morris said, “but seeing it as a recognized necessity and something many people are coming to makes it a trend for me.”Now is the moment to become organized, make a strategy, create a system, and move forward.”

According to Andy Betts, Search and Digital Advisor & Consultant, a transition to more strategic SEO will be important in 2021 to stay relevant and top of mind for customers’ attention. He suggests shifting your focus from a single concentration on consumer behavior to a two-step process that includes first learning about the market in which these consumers operate.

“Take a more strategic and holistic approach to understand what’s going on in the market, where demand has altered historically, and where demand is shifting in real-time,” Betts advised.“Use a consultative approach to learn how economic, sociological, and psychological aspects influence search demand, and then dig further into consumer behavior and purpose. Make use of all business intelligence tools, platforms, and sources available to you.”

Content depth

Both Google and users must have faith in your expertise. Expertise, Authority, and Trustworthiness, or EAT, are ranking variables, after all. However, people need to see that you know everything there is to know about your subject outside of Google. If a person is looking for information on artificial intelligence, they don’t want to have to go to many websites to find it. Consider the following description of Built In’s artificial intelligence content: An ideal informational blog style is to have one page with all of the content available, as well as links to other related content.

More often than not, longer content is required to demonstrate your competence. Longreads (articles with 7,000 words or more) are the absolute leaders in terms of content performance, according to a 2019 SEMRush study that was recently updated this month, driving nearly four times more traffic than articles of ordinary length (900-1,200 words).

Short content isn’t going to make it in the SEO world. Demonstrate to your users that you are the expert in your subject. The effects will be felt by returning users, Google, and your organic rankings.

Internal linking

Internal linking isn’t on many SEO trend lists, despite the fact that it’s been critical to SEO for decades. However, just because a strategy is old doesn’t mean it’s no longer effective. Internal linking is essential for both your users and Google to find the sites that are important to you.

In any case, having a clear site structure that allows users to flow effortlessly from one page to the next would aid both users and Google in finding important, fresh, and updated material. To achieve so, use the following strategies:

Content hubs consist of a single pillar page with articles relating to that topic connected to it.

Faceted navigation: E-commerce sites use filters and facets to allow customers to swiftly narrow down a product set by color, style, or other characteristics.

Linkbacks: A collection of links to similar products at the bottom of your product pages.

Related hyperlinks: In your blogs, include connections to other sites that are comparable to yours.

Automation

The possibilities for 2021 will be mind-boggling, according to Hamlet Batista, CEO of RankSense. “If we look back at the increasing number of SEO tasks that we are able to automate in 2020 (structured data generation, quality content, etc. ), the possibilities for 2021 will be mind-boggling,” he said. Related web addresses: Link to other similar companies in your weblog.

“The quality and quantity of AI-generated content are expected to skyrocket. It will undoubtedly make it more difficult for search engines to keep spam out of the index,” Batista said. “The key focus will be on human-in-the-loop automation to ensure that the value for search users is high in order to avoid penalties and remain competitive.”

One of the major trends in SEO for 2021, according to Jesse McDonald, Global SEO Strategist | Optimization Lead, IBM, is the continuous focus on establishing more scalable optimization solutions using automation, especially among in-house positions.

“In the last few years, a growing number of industry-leading tools that many SEO practitioners utilize in their daily work have released automated functionality to roll out site improvements. It’s almost like adding another execution member to the team,” McDonald explained.

“The ramifications of this are particularly fascinating for in-house roles,” he continued, “because it can help deploy low-hanging fruit elements without having to explain the relevance of the change to move to the top of the sprint schedule.” “As a result, the SEO can concentrate on other key components for increasing site performance.”

Local search

Traditional, in-person retailers have traditionally benefited from local SEO. Local SEO, on the other hand, has grown considerably in recent years. Google has recently begun to prioritize local news in its search results.

Every day, featured snippets and zero-click searches become increasingly common. Many zero-click searches are local searches that display the results in a “local pack” on the SERP. Even if you don’t have a physical presence, I strongly advise you to set up a Google My Business account and keep it up to date.

Local SEO can also be used in the following ways:

Profit from local keywords.

Use online business directories to your advantage.

Build content around local events, news stories, and specific locations, similar to Built In Chicago or Built-In San Francisco.

Creativity

Finally, it’s time to be creative with your search engine optimization. Change is a major subject throughout the work. SEO isn’t going away, but it’s changing at a breakneck pace. Much of what worked in the past will not work in the future. Keyword stuffing and article syndication, after all, were once highly successful SEO strategies. Today, however, these antiquated strategies will not only fail, but they may also result in Google penalties.

As a result, it’s critical that you keep up with the latest trends and try out new techniques. Don’t be frightened to venture into unfamiliar territory. But don’t go all-in until you’ve proven that your experiments are successful.

SEO Scalability

According to Mark Traphagen, Vice President of Product Marketing and Training at seoClarity, 2021 should be the year to incorporate scalability into your SEO strategy if you want to stay ahead of the competition.

How?

Traphagen shared these three tips:

Make a list of all the usual tasks, activities, and workflows you perform. Determine which stages in each of these could be automated or handled more efficiently with the help of a tool.

Set up an alert system to track significant changes in things like keyword ranks, flip-flopping URLs ranking for the same keyword (URL cannibalism), page content changes, URL changes, and so on.

Create SoPs (Standard Operating Procedures) for any repetitive processes you can’t automate so your team doesn’t have to reinvent the wheel every time they need to be done.

The post Top SEO Trends 2021 that you must need to know appeared first on Soft Trending.

from Soft Trending https://ift.tt/3k1B9fV via softtrending

[michaelandy101-blog]

Accessible Machine Learning for SEOs — Whiteboard Friday

New Post has been published on https://tiptopreview.com/accessible-machine-learning-for-seos-whiteboard-friday/

Accessible Machine Learning for SEOs — Whiteboard Friday

Machine learning — a branch of artificial intelligence that studies the automatic improvement of computer algorithms — might seem far outside the scope of your SEO work. MozCon speaker (and all-around SEO genius) Britney Muller is here with a special edition of Whiteboard Friday to tell you why that’s not true, and to go through a few steps to get you started. You can access the Colab notebook discussed in the video here. 

To see more on machine learning from Britney and our other MozCon 2020 presentations, check out this year’s video bundle. 

Get my MozCon 2020 video bundle

Click on the whiteboard image above to open a high resolution version in a new tab!

Video Transcription

Hey, Moz fans. Welcome to this special edition of Whiteboard Friday. Today we are taking a sneak peek at what I spoke about at MozCon 2020, where I made machine learning accessible to SEOs everywhere.

This is so, so exciting because it is readily at your fingertips today, and I’m going to show you exactly how to get started. 

So to kick things off, I learned about this weird concept called brood parasites this summer, and it’s fascinating. It’s basically where one animal tricks another animal of the same species to raise its young.

It’s fascinating, and the more I learned about it, the more I realized: oh my gosh, I’m sort of like a brood parasite when it comes to programming and machine learning! I latch on and find these great models that do all the work — all of the raising — and I put in my data and my ideas, and it does things for me.

So we are going to use this concept to our advantage. In fact, I have been able to teach my dad most of these models that, again, are readily available to you today within a tool called Colab. Let me just walk you through what that looks like. 

Models to get you started

So to get started, if you want to start warming up right now, just start practicing by holding down “Shift” and then press “Enter”.

Just start practicing that right now. It’s half the battle. You’re about to fire up some really cool models. 



All right. What are some examples of that? What does that look like? So some of the models you can play with today are things like DeOldify, which is where you repair and colorize old photos. It’s really, really fun. 

Another one is a text generator. I created one with GTP-2 — super silly, it’s this excuse generator. You can manipulate it and make it do different things for you. 

There’s also a really, really great forecasting model, where you basically put in a chunk of time series data and it predicts what the future might have in store. It’s really, really powerful and fun.

You can summarize text, which is really valuable. Think about meta descriptions, all that good stuff. 

You can also automate keyword research grouping, which I’ll show you here in a second. 

You can do really powerful internal link analysis, have a notebook for that.

Perhaps one of the most powerful things is you can extract entities and categories as Google perceives them. It’s one of my favorite APIs. It’s through Google’s NLP API. I pull it into a notebook, and you basically put the URLs you want to extract this information from and you can compare how your URL compares to competitors.

It’s really valuable, fun stuff. 

Most importantly, you cannot break any of this! 

Do not be intimidated by any of the code whatsoever. Lots of seasoned developers don’t know what’s happening in some of those code blocks. It’s okay.

Using Colab

We get to play in this environment. It’s hosted in Google Drive, and so there’s no fear of this breaking anything on your computer or with your data or anything. So let’s dive in. As I said, this is through a free tool called Colab. 

You know how Google took Excel and made Google Sheets?

They did the same thing with what’s known as Jupyter Notebooks. Jupyter is installed locally on your computer. It’s one of the most popular notebook environments. But it requires some setup, and can be somewhat clunky. It gets confused with different versions and yada, yada. Google put that into the cloud (zero setup required) and is now calling it Colab Notebooks. It’s unbelievably powerful.

So, again, it’s free. It’s available to you right now if you want to open it up in a new tab. There is zero setup. Google also gives you access to free GPU and TPU computing, which is great. It has a 12-hour runtime. 

Some cons is that you can hit limits. So I hit the limits, and now I’m paying $9.99 a month for the Pro version and I’ve had no problems.

Again, I’m not affiliated with this whatsoever. I’m just super passionate about it, and the fact that they offer you a free version is so exciting. I’ve already seen a lot of people get started in this. It’s also something to note that it’s probably not as secure or robust as Google’s Enterprise solution. So if you’re doing this for a large company or you’re getting really serious about this, you should probably check out some other options. But if you’re just kind of dabbling and want to explore and have fun, let’s keep this party going. 

Using pandas

All right. So again, this is a cloud-hosted notebook environment. So one thing that I want to really focus on here, because I think it’s the most valuable for SEOs, is this library known as “pandas“.

Pandas is a data analysis library built on top of python. After running just two lines of code, you can upload a CSV file from your local computer. This silly example is one that I really did run with Google Search Console data.

So you run this in a notebook (Shift + Return). Again, I’m sharing this entire notebook with you today. So just click into the first text cell and start running Shift + Click to bring you down through the notebook. It’s not as intimidating as it looks.

Once you run the above code, upload your CSV. Then once you upload it, you are going to name your data frame. 

After uploading your CSV, you will see the output that states your CSV name. Copy that exactly how it’s been uploaded and paste it into the next (above cell) to name it.

In this case, mine was just “gsc-example.csv”. Again, once you upload your CSV, you will see the name in the output beneath the “from. google.colab import files” code cell. 

Now, let’s run some simple lines of code to make sure that your data is in there properly.

A common first check people do is “df.head()”. This shows you the first five rows of your data frame. You can also do “df.tail()”, and it shows you the last five rows of your data frame.

You can even put in a number in the parentheses (ex. df.head(30)) to see the first 30 rows. It’s that easy! 

Now comes the really fun stuff, and this is just tip of the iceberg.

So you can run this really, really cool code cell here to create a filterable table. 

What’s powerful about this, especially with your Google Search Console data, is you can easily extract and explore keywords that have a high click-through rate and a poor rank in search. It’s one of my favorite ways to explore keyword opportunities for clients, and it couldn’t be easier.

So, play around with the filterable view.

If you’re doing keyword research, you’re trying to bucket keywords, you’re trying to organize topics, etc. but you can more easily organize your keywords with Pandas.

Here’s how to create a new column that states whether or not a keyword is ‘Branded’. 

So to walk you through this, “df[“Branded”]” creates a new column called “Branded”. 

Then “df.Query.str.contains(“moz|rand|ose”)” uses regex that labels any query with those keywords as Branded = True. 

So now that makes filtering and exploring that so much faster! You can even do this in ways where you can create an entirely different data frame table (examples of that are also in this notebook). 

You can use that and export your keywords into buckets like that, and there’s no stall time. Things don’t freeze up like Excel. You can account for misspellings and all sorts of good stuff more easily with regular expressions. It’s super cool.

Conclusion

Again, this is just tip of the iceberg, my friends. I am most excited to plant this seed within all of you so that you guys can come back and teach me what you’ve been able to accomplish. I think we have so much more to explore in this space. It is going to be so much fun! If you get a kick out of this and you want to continue exploring different models, different programs within Colab, I highly suggest you download the Colab Chrome extension.

It just makes opening up the notebook so much easier. 

You can save copys of notebooks you discover to your drive and play with it all you want. It’s so much fun. I hope this sparked some inspiration in you, and I am so excited to hear what all of you think and create. -Really appreciate you watching.

So thank you so much. I will see you all next time. Bye.

Video transcription by Speechpad.com

Ready for more?

You’ll uncover even more SEO goodness in the MozCon 2020 video bundle. At this year’s special low price of $129, this is invaluable content you can access again and again throughout the year to inspire and ignite your SEO strategy:

21 full-length videos from some of the brightest minds in digital marketing

Instant downloads and streaming to your computer, tablet, or mobile device

Downloadable slide decks for presentations

Get my MozCon 2020 video bundle

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Accessible Machine Learning for SEOs — Whiteboard Friday

Posted by BritneyMuller

Machine learning — a branch of artificial intelligence that studies the automatic improvement of computer algorithms — might seem far outside the scope of your SEO work. MozCon speaker (and all-around SEO genius) Britney Muller is here with a special edition of Whiteboard Friday to tell you why that's not true, and to go through a few steps to get you started. 

To see more on machine learning from Britney and our other MozCon 2020 speakers, check out this year's video bundle. 

Get my MozCon 2020 video bundle

Click on the whiteboard image above to open a high resolution version in a new tab!

Video Transcription

Hey, Moz fans. Welcome to this special edition of Whiteboard Friday. Today we are taking a sneak peek at what I spoke about at MozCon 2020, where I made machine learning accessible to SEOs everywhere.

This is so, so exciting because it is readily at your fingertips today, and I'm going to show you exactly how to get started. 

So to kick things off, I learned about this weird concept called brood parasites this summer, and it's fascinating. It's basically where one animal tricks another animal of the same species to raise its young.

It's fascinating, and the more I learned about it, the more I realized: oh my gosh, I'm sort of like a brood parasite when it comes to programming and machine learning! I latch on and find these great models that do all the work — all of the raising — and I put in my data and my ideas, and it does things for me.

So we are going to use this concept to our advantage. In fact, I have been able to teach my dad most of these models that, again, are readily available to you today within a tool called Colab. Let me just walk you through what that looks like. 

Models to get you started

So to get started, if you want to start warming up right now, just start practicing clicking "Shift" and then click "Enter".

Just start practicing that right now. It's half the battle. You're about to be firing up some really cool models. 



All right. What are some examples of that? What does that look like? So some of the models you can play with today are things like DeOldify, which is where you repair and colorize old photos. It's really, really fun. 

Another one is a text generator. I created one with GTP-2 — super silly, it's this excuse generator. You can manipulate it and make it do different things for you. 

There's also a really, really great forecasting model, where you basically put in a chunk of time series data and it predicts what the future might have in store. It's really, really powerful and fun.

You can summarize text, which is really valuable. Think about meta descriptions, all that good stuff. 

You can also automate keyword research grouping, which I'll show you here in a second. 

You can do really powerful internal link analysis, set up a notebook for that.

Perhaps one of the most powerful things is you can extract entities and categories as Google perceives them. It's one of my favorite APIs. It's through Google's NLP API. I pull it into a notebook, and you basically put the URLs you want to extract this information from and you can compare how your URL compares to competitors.

It's really, really valuable, fun stuff. So most importantly, you cannot break any of this. Do not be intimidated by any of the code whatsoever. Lots of seasoned developers don't know what's happening in some of those code blocks. It's okay.

Using Colab

We get to play in this environment. It's hosted in Google Drive, and so there's no fear of this breaking anything on your computer or with your data or anything. So just get ready to dive in with me. Please, it's going to be so much fun. Okay, so like I said, this is through a free tool called Colab. So you know how Google basically took Excel and made Google Sheets?

They did the same thing with what's known as Jupyter Notebooks. So these were locally on computers. It's one of the most popular notebook environments. But it requires some setup, and it can be somewhat clunky. It gets confused with different versions and yada, yada. Google put that into the cloud and is now calling it Colab. It's unbelievably powerful.

So, again, it's free. It's available to you right now if you want to open it up in a new tab. There is zero setup. Google also gives you access to free GPU and TPU computing, which is great. It has a 12-hour runtime. 

Some cons is that you can hit limits. So I hit the limits, and now I'm paying $9.99 a month for the Pro version and I've had no problems.

Again, I'm not affiliated with this whatsoever. I'm just super passionate about it, and the fact that they offer you a free version is so exciting. I've already seen a lot of people get started in this. It's also something to note that it's probably not as secure or robust as Google's Enterprise solution. So if you're doing this for a large company or you're getting really serious about this, you should probably check out some other options. But if you're just kind of dabbling and want to explore and have fun, let's keep this party going. 

Using pandas

All right. So again, this is basically a cloud hosted notebook environment. So one thing that I want to really focus on here, because I think it's the most valuable for SEOs, is this library known as "pandas".

Pandas is a data frame library, where you basically run one — or two — lines of code. You can choose your file from your local computer, so I usually just upload CSVs. This silly example is one that I really did run with Google Search Console data.

So you run this in a notebook. Again, I'm sharing this entire notebook with you today. So if you just go to it and you do this, it brings you through the cells. It's not as intimidating as it looks. So if you just click into that first cell, even if it's just that text cell, "Shift + Enter", it will bring you through the notebook. 

So once you get past and once you fire up this chunk of code right here, upload your CSV. Then once you upload it, you are going to name your data frame. 

So these are the only two cells you need to really change or do anything with if you want. Well, you need to. 

So we are uploading your file, and then we are grabbing that file name. In this case, mine was just "gsc-example.csv". Again, once you upload it, you will see the name in that output here. So you just put that within this code block, run this, and then you can do some really easy lines of code to check to make sure that your data is in there.

So one of the first ones that most people do is "df". This is your data frame that you named with your file right here. So you just do "df.head()". This shows you the first five rows of your data frame. You can also do "df.tail()", and it shows you the last five rows of your data frame.

You can even put in a number in here to modify how many rows you want to explore. So maybe you do "df.head(30)", and then you see the first 30 rows. It's that easy just to get it in there and to see it. Now comes the really fun stuff, and this is just tip of the iceberg.

So you can run this really, really cool code cell here to create a filterable table. What's powerful about this, especially with your Google Search Console data, is you can easily extract and explore keywords that have high click-through rate and a low ranking in search. It's one of my favorite ways to explore keyword opportunities for clients, and it couldn't be easier.

So check that out. This is kind of the money part right here. 

If you're doing keyword research, which can take a lot, right, you're trying to bucket keywords, you're trying to organize topics and all that good stuff, you can instantly create a new column with pandas with branded keyword terms.

So just to walk you through this, we're going "df["Branded"]". This is the name of the new column we're going to create. We have this query string "contains," and this is just regex, ("moz|rand|ose"). So any keywords that contain one of those words gets in the "Branded" column a "True".

So now that makes filtering and exploring that so much faster. You can even do this in ways where you can create an entirely different data frame table. So sometimes if you have lots and lots of data, you can use the other cell in that example. All of these examples will be in the notebook.

You can use that and export your keywords into buckets like that, and there's no stall time. Things don't freeze up like Excel. You can account for misspellings and all sorts of good stuff so, so easily with regular expressions. So super, super cool.

Conclusion

Again, this is just tip of the iceberg, my friends. I am most excited to sort of plant this seed within all of you so that you guys can come back and teach me what you've been able to accomplish. I think we have so much more to explore in this space. It is going to be so much fun. If you get a kick out of this and you want to continue exploring different models, different programs within Colab, I highly suggest you download the Colab Chrome extension.

It just makes opening up the notebook so much easier. You can save a copy to your drive and play with it all you want. It's so much fun. I hope this kind of sparked some inspiration in some of you, and I am so excited to hear what all of you think and create. I really appreciate you watching.

So thank you so much. I will see you all next time. Bye.

Video transcription by Speechpad.com

Ready for more?

You'll uncover even more SEO goodness in the MozCon 2020 video bundle. At this year's special low price of $129, this is invaluable content you can access again and again throughout the year to inspire and ignite your SEO strategy:

21 full-length videos from some of the brightest minds in digital marketing

Instant downloads and streaming to your computer, tablet, or mobile device

Downloadable slide decks for presentations

Get my MozCon 2020 video bundle

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!

[epackingvietnam]

Accessible Machine Learning for SEOs — Whiteboard Friday

Posted by BritneyMuller

Machine learning — a branch of artificial intelligence that studies the automatic improvement of computer algorithms — might seem far outside the scope of your SEO work. MozCon speaker (and all-around SEO genius) Britney Muller is here with a special edition of Whiteboard Friday to tell you why that's not true, and to go through a few steps to get you started. 

To see more on machine learning from Britney and our other MozCon 2020 speakers, check out this year's video bundle. 

Get my MozCon 2020 video bundle

Click on the whiteboard image above to open a high resolution version in a new tab!

Video Transcription

Hey, Moz fans. Welcome to this special edition of Whiteboard Friday. Today we are taking a sneak peek at what I spoke about at MozCon 2020, where I made machine learning accessible to SEOs everywhere.

This is so, so exciting because it is readily at your fingertips today, and I'm going to show you exactly how to get started. 

So to kick things off, I learned about this weird concept called brood parasites this summer, and it's fascinating. It's basically where one animal tricks another animal of the same species to raise its young.

It's fascinating, and the more I learned about it, the more I realized: oh my gosh, I'm sort of like a brood parasite when it comes to programming and machine learning! I latch on and find these great models that do all the work — all of the raising — and I put in my data and my ideas, and it does things for me.

So we are going to use this concept to our advantage. In fact, I have been able to teach my dad most of these models that, again, are readily available to you today within a tool called Colab. Let me just walk you through what that looks like. 

Models to get you started

So to get started, if you want to start warming up right now, just start practicing clicking "Shift" and then click "Enter".

Just start practicing that right now. It's half the battle. You're about to be firing up some really cool models. 



All right. What are some examples of that? What does that look like? So some of the models you can play with today are things like DeOldify, which is where you repair and colorize old photos. It's really, really fun. 

Another one is a text generator. I created one with GTP-2 — super silly, it's this excuse generator. You can manipulate it and make it do different things for you. 

There's also a really, really great forecasting model, where you basically put in a chunk of time series data and it predicts what the future might have in store. It's really, really powerful and fun.

You can summarize text, which is really valuable. Think about meta descriptions, all that good stuff. 

You can also automate keyword research grouping, which I'll show you here in a second. 

You can do really powerful internal link analysis, set up a notebook for that.

Perhaps one of the most powerful things is you can extract entities and categories as Google perceives them. It's one of my favorite APIs. It's through Google's NLP API. I pull it into a notebook, and you basically put the URLs you want to extract this information from and you can compare how your URL compares to competitors.

It's really, really valuable, fun stuff. So most importantly, you cannot break any of this. Do not be intimidated by any of the code whatsoever. Lots of seasoned developers don't know what's happening in some of those code blocks. It's okay.

Using Colab

We get to play in this environment. It's hosted in Google Drive, and so there's no fear of this breaking anything on your computer or with your data or anything. So just get ready to dive in with me. Please, it's going to be so much fun. Okay, so like I said, this is through a free tool called Colab. So you know how Google basically took Excel and made Google Sheets?

They did the same thing with what's known as Jupyter Notebooks. So these were locally on computers. It's one of the most popular notebook environments. But it requires some setup, and it can be somewhat clunky. It gets confused with different versions and yada, yada. Google put that into the cloud and is now calling it Colab. It's unbelievably powerful.

So, again, it's free. It's available to you right now if you want to open it up in a new tab. There is zero setup. Google also gives you access to free GPU and TPU computing, which is great. It has a 12-hour runtime. 

Some cons is that you can hit limits. So I hit the limits, and now I'm paying $9.99 a month for the Pro version and I've had no problems.

Again, I'm not affiliated with this whatsoever. I'm just super passionate about it, and the fact that they offer you a free version is so exciting. I've already seen a lot of people get started in this. It's also something to note that it's probably not as secure or robust as Google's Enterprise solution. So if you're doing this for a large company or you're getting really serious about this, you should probably check out some other options. But if you're just kind of dabbling and want to explore and have fun, let's keep this party going. 

Using pandas

All right. So again, this is basically a cloud hosted notebook environment. So one thing that I want to really focus on here, because I think it's the most valuable for SEOs, is this library known as "pandas".

Pandas is a data frame library, where you basically run one — or two — lines of code. You can choose your file from your local computer, so I usually just upload CSVs. This silly example is one that I really did run with Google Search Console data.

So you run this in a notebook. Again, I'm sharing this entire notebook with you today. So if you just go to it and you do this, it brings you through the cells. It's not as intimidating as it looks. So if you just click into that first cell, even if it's just that text cell, "Shift + Enter", it will bring you through the notebook. 

So once you get past and once you fire up this chunk of code right here, upload your CSV. Then once you upload it, you are going to name your data frame. 

So these are the only two cells you need to really change or do anything with if you want. Well, you need to. 

So we are uploading your file, and then we are grabbing that file name. In this case, mine was just "gsc-example.csv". Again, once you upload it, you will see the name in that output here. So you just put that within this code block, run this, and then you can do some really easy lines of code to check to make sure that your data is in there.

So one of the first ones that most people do is "df". This is your data frame that you named with your file right here. So you just do "df.head()". This shows you the first five rows of your data frame. You can also do "df.tail()", and it shows you the last five rows of your data frame.

You can even put in a number in here to modify how many rows you want to explore. So maybe you do "df.head(30)", and then you see the first 30 rows. It's that easy just to get it in there and to see it. Now comes the really fun stuff, and this is just tip of the iceberg.

So you can run this really, really cool code cell here to create a filterable table. What's powerful about this, especially with your Google Search Console data, is you can easily extract and explore keywords that have high click-through rate and a low ranking in search. It's one of my favorite ways to explore keyword opportunities for clients, and it couldn't be easier.

So check that out. This is kind of the money part right here. 

If you're doing keyword research, which can take a lot, right, you're trying to bucket keywords, you're trying to organize topics and all that good stuff, you can instantly create a new column with pandas with branded keyword terms.

So just to walk you through this, we're going "df["Branded"]". This is the name of the new column we're going to create. We have this query string "contains," and this is just regex, ("moz|rand|ose"). So any keywords that contain one of those words gets in the "Branded" column a "True".

So now that makes filtering and exploring that so much faster. You can even do this in ways where you can create an entirely different data frame table. So sometimes if you have lots and lots of data, you can use the other cell in that example. All of these examples will be in the notebook.

You can use that and export your keywords into buckets like that, and there's no stall time. Things don't freeze up like Excel. You can account for misspellings and all sorts of good stuff so, so easily with regular expressions. So super, super cool.

Conclusion

Again, this is just tip of the iceberg, my friends. I am most excited to sort of plant this seed within all of you so that you guys can come back and teach me what you've been able to accomplish. I think we have so much more to explore in this space. It is going to be so much fun. If you get a kick out of this and you want to continue exploring different models, different programs within Colab, I highly suggest you download the Colab Chrome extension.

It just makes opening up the notebook so much easier. You can save a copy to your drive and play with it all you want. It's so much fun. I hope this kind of sparked some inspiration in some of you, and I am so excited to hear what all of you think and create. I really appreciate you watching.

So thank you so much. I will see you all next time. Bye.

Video transcription by Speechpad.com

Ready for more?

You'll uncover even more SEO goodness in the MozCon 2020 video bundle. At this year's special low price of $129, this is invaluable content you can access again and again throughout the year to inspire and ignite your SEO strategy:

21 full-length videos from some of the brightest minds in digital marketing

Instant downloads and streaming to your computer, tablet, or mobile device

Downloadable slide decks for presentations

Get my MozCon 2020 video bundle

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]

Accessible Machine Learning for SEOs — Whiteboard Friday

Posted by BritneyMuller

Machine learning — a branch of artificial intelligence that studies the automatic improvement of computer algorithms — might seem far outside the scope of your SEO work. MozCon speaker (and all-around SEO genius) Britney Muller is here with a special edition of Whiteboard Friday to tell you why that's not true, and to go through a few steps to get you started. 

To see more on machine learning from Britney and our other MozCon 2020 speakers, check out this year's video bundle. 

Get my MozCon 2020 video bundle

Click on the whiteboard image above to open a high resolution version in a new tab!

Video Transcription

Hey, Moz fans. Welcome to this special edition of Whiteboard Friday. Today we are taking a sneak peek at what I spoke about at MozCon 2020, where I made machine learning accessible to SEOs everywhere.

This is so, so exciting because it is readily at your fingertips today, and I'm going to show you exactly how to get started. 

So to kick things off, I learned about this weird concept called brood parasites this summer, and it's fascinating. It's basically where one animal tricks another animal of the same species to raise its young.

It's fascinating, and the more I learned about it, the more I realized: oh my gosh, I'm sort of like a brood parasite when it comes to programming and machine learning! I latch on and find these great models that do all the work — all of the raising — and I put in my data and my ideas, and it does things for me.

So we are going to use this concept to our advantage. In fact, I have been able to teach my dad most of these models that, again, are readily available to you today within a tool called Colab. Let me just walk you through what that looks like. 

Models to get you started

So to get started, if you want to start warming up right now, just start practicing clicking "Shift" and then click "Enter".

Just start practicing that right now. It's half the battle. You're about to be firing up some really cool models. 



All right. What are some examples of that? What does that look like? So some of the models you can play with today are things like DeOldify, which is where you repair and colorize old photos. It's really, really fun. 

Another one is a text generator. I created one with GTP-2 — super silly, it's this excuse generator. You can manipulate it and make it do different things for you. 

There's also a really, really great forecasting model, where you basically put in a chunk of time series data and it predicts what the future might have in store. It's really, really powerful and fun.

You can summarize text, which is really valuable. Think about meta descriptions, all that good stuff. 

You can also automate keyword research grouping, which I'll show you here in a second. 

You can do really powerful internal link analysis, set up a notebook for that.

Perhaps one of the most powerful things is you can extract entities and categories as Google perceives them. It's one of my favorite APIs. It's through Google's NLP API. I pull it into a notebook, and you basically put the URLs you want to extract this information from and you can compare how your URL compares to competitors.

It's really, really valuable, fun stuff. So most importantly, you cannot break any of this. Do not be intimidated by any of the code whatsoever. Lots of seasoned developers don't know what's happening in some of those code blocks. It's okay.

Using Colab

We get to play in this environment. It's hosted in Google Drive, and so there's no fear of this breaking anything on your computer or with your data or anything. So just get ready to dive in with me. Please, it's going to be so much fun. Okay, so like I said, this is through a free tool called Colab. So you know how Google basically took Excel and made Google Sheets?

They did the same thing with what's known as Jupyter Notebooks. So these were locally on computers. It's one of the most popular notebook environments. But it requires some setup, and it can be somewhat clunky. It gets confused with different versions and yada, yada. Google put that into the cloud and is now calling it Colab. It's unbelievably powerful.

So, again, it's free. It's available to you right now if you want to open it up in a new tab. There is zero setup. Google also gives you access to free GPU and TPU computing, which is great. It has a 12-hour runtime. 

Some cons is that you can hit limits. So I hit the limits, and now I'm paying $9.99 a month for the Pro version and I've had no problems.

Again, I'm not affiliated with this whatsoever. I'm just super passionate about it, and the fact that they offer you a free version is so exciting. I've already seen a lot of people get started in this. It's also something to note that it's probably not as secure or robust as Google's Enterprise solution. So if you're doing this for a large company or you're getting really serious about this, you should probably check out some other options. But if you're just kind of dabbling and want to explore and have fun, let's keep this party going. 

Using pandas

All right. So again, this is basically a cloud hosted notebook environment. So one thing that I want to really focus on here, because I think it's the most valuable for SEOs, is this library known as "pandas".

Pandas is a data frame library, where you basically run one — or two — lines of code. You can choose your file from your local computer, so I usually just upload CSVs. This silly example is one that I really did run with Google Search Console data.

So you run this in a notebook. Again, I'm sharing this entire notebook with you today. So if you just go to it and you do this, it brings you through the cells. It's not as intimidating as it looks. So if you just click into that first cell, even if it's just that text cell, "Shift + Enter", it will bring you through the notebook. 

So once you get past and once you fire up this chunk of code right here, upload your CSV. Then once you upload it, you are going to name your data frame. 

So these are the only two cells you need to really change or do anything with if you want. Well, you need to. 

So we are uploading your file, and then we are grabbing that file name. In this case, mine was just "gsc-example.csv". Again, once you upload it, you will see the name in that output here. So you just put that within this code block, run this, and then you can do some really easy lines of code to check to make sure that your data is in there.

So one of the first ones that most people do is "df". This is your data frame that you named with your file right here. So you just do "df.head()". This shows you the first five rows of your data frame. You can also do "df.tail()", and it shows you the last five rows of your data frame.

You can even put in a number in here to modify how many rows you want to explore. So maybe you do "df.head(30)", and then you see the first 30 rows. It's that easy just to get it in there and to see it. Now comes the really fun stuff, and this is just tip of the iceberg.

So you can run this really, really cool code cell here to create a filterable table. What's powerful about this, especially with your Google Search Console data, is you can easily extract and explore keywords that have high click-through rate and a low ranking in search. It's one of my favorite ways to explore keyword opportunities for clients, and it couldn't be easier.

So check that out. This is kind of the money part right here. 

If you're doing keyword research, which can take a lot, right, you're trying to bucket keywords, you're trying to organize topics and all that good stuff, you can instantly create a new column with pandas with branded keyword terms.

So just to walk you through this, we're going "df["Branded"]". This is the name of the new column we're going to create. We have this query string "contains," and this is just regex, ("moz|rand|ose"). So any keywords that contain one of those words gets in the "Branded" column a "True".

So now that makes filtering and exploring that so much faster. You can even do this in ways where you can create an entirely different data frame table. So sometimes if you have lots and lots of data, you can use the other cell in that example. All of these examples will be in the notebook.

You can use that and export your keywords into buckets like that, and there's no stall time. Things don't freeze up like Excel. You can account for misspellings and all sorts of good stuff so, so easily with regular expressions. So super, super cool.

Conclusion

Again, this is just tip of the iceberg, my friends. I am most excited to sort of plant this seed within all of you so that you guys can come back and teach me what you've been able to accomplish. I think we have so much more to explore in this space. It is going to be so much fun. If you get a kick out of this and you want to continue exploring different models, different programs within Colab, I highly suggest you download the Colab Chrome extension.

It just makes opening up the notebook so much easier. You can save a copy to your drive and play with it all you want. It's so much fun. I hope this kind of sparked some inspiration in some of you, and I am so excited to hear what all of you think and create. I really appreciate you watching.

So thank you so much. I will see you all next time. Bye.

Video transcription by Speechpad.com

Ready for more?

You'll uncover even more SEO goodness in the MozCon 2020 video bundle. At this year's special low price of $129, this is invaluable content you can access again and again throughout the year to inspire and ignite your SEO strategy:

21 full-length videos from some of the brightest minds in digital marketing

Instant downloads and streaming to your computer, tablet, or mobile device

Downloadable slide decks for presentations

Get my MozCon 2020 video bundle

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!

[nutrifami]

Accessible Machine Learning for SEOs — Whiteboard Friday

Posted by BritneyMuller

Machine learning — a branch of artificial intelligence that studies the automatic improvement of computer algorithms — might seem far outside the scope of your SEO work. MozCon speaker (and all-around SEO genius) Britney Muller is here with a special edition of Whiteboard Friday to tell you why that's not true, and to go through a few steps to get you started. 

To see more on machine learning from Britney and our other MozCon 2020 speakers, check out this year's video bundle. 

Get my MozCon 2020 video bundle

Click on the whiteboard image above to open a high resolution version in a new tab!

Video Transcription

Hey, Moz fans. Welcome to this special edition of Whiteboard Friday. Today we are taking a sneak peek at what I spoke about at MozCon 2020, where I made machine learning accessible to SEOs everywhere.

This is so, so exciting because it is readily at your fingertips today, and I'm going to show you exactly how to get started. 

So to kick things off, I learned about this weird concept called brood parasites this summer, and it's fascinating. It's basically where one animal tricks another animal of the same species to raise its young.

It's fascinating, and the more I learned about it, the more I realized: oh my gosh, I'm sort of like a brood parasite when it comes to programming and machine learning! I latch on and find these great models that do all the work — all of the raising — and I put in my data and my ideas, and it does things for me.

So we are going to use this concept to our advantage. In fact, I have been able to teach my dad most of these models that, again, are readily available to you today within a tool called Colab. Let me just walk you through what that looks like. 

Models to get you started

So to get started, if you want to start warming up right now, just start practicing clicking "Shift" and then click "Enter".

Just start practicing that right now. It's half the battle. You're about to be firing up some really cool models. 



All right. What are some examples of that? What does that look like? So some of the models you can play with today are things like DeOldify, which is where you repair and colorize old photos. It's really, really fun. 

Another one is a text generator. I created one with GTP-2 — super silly, it's this excuse generator. You can manipulate it and make it do different things for you. 

There's also a really, really great forecasting model, where you basically put in a chunk of time series data and it predicts what the future might have in store. It's really, really powerful and fun.

You can summarize text, which is really valuable. Think about meta descriptions, all that good stuff. 

You can also automate keyword research grouping, which I'll show you here in a second. 

You can do really powerful internal link analysis, set up a notebook for that.

Perhaps one of the most powerful things is you can extract entities and categories as Google perceives them. It's one of my favorite APIs. It's through Google's NLP API. I pull it into a notebook, and you basically put the URLs you want to extract this information from and you can compare how your URL compares to competitors.

It's really, really valuable, fun stuff. So most importantly, you cannot break any of this. Do not be intimidated by any of the code whatsoever. Lots of seasoned developers don't know what's happening in some of those code blocks. It's okay.

Using Colab

We get to play in this environment. It's hosted in Google Drive, and so there's no fear of this breaking anything on your computer or with your data or anything. So just get ready to dive in with me. Please, it's going to be so much fun. Okay, so like I said, this is through a free tool called Colab. So you know how Google basically took Excel and made Google Sheets?

They did the same thing with what's known as Jupyter Notebooks. So these were locally on computers. It's one of the most popular notebook environments. But it requires some setup, and it can be somewhat clunky. It gets confused with different versions and yada, yada. Google put that into the cloud and is now calling it Colab. It's unbelievably powerful.

So, again, it's free. It's available to you right now if you want to open it up in a new tab. There is zero setup. Google also gives you access to free GPU and TPU computing, which is great. It has a 12-hour runtime. 

Some cons is that you can hit limits. So I hit the limits, and now I'm paying $9.99 a month for the Pro version and I've had no problems.

Again, I'm not affiliated with this whatsoever. I'm just super passionate about it, and the fact that they offer you a free version is so exciting. I've already seen a lot of people get started in this. It's also something to note that it's probably not as secure or robust as Google's Enterprise solution. So if you're doing this for a large company or you're getting really serious about this, you should probably check out some other options. But if you're just kind of dabbling and want to explore and have fun, let's keep this party going. 

Using pandas

All right. So again, this is basically a cloud hosted notebook environment. So one thing that I want to really focus on here, because I think it's the most valuable for SEOs, is this library known as "pandas".

Pandas is a data frame library, where you basically run one — or two — lines of code. You can choose your file from your local computer, so I usually just upload CSVs. This silly example is one that I really did run with Google Search Console data.

So you run this in a notebook. Again, I'm sharing this entire notebook with you today. So if you just go to it and you do this, it brings you through the cells. It's not as intimidating as it looks. So if you just click into that first cell, even if it's just that text cell, "Shift + Enter", it will bring you through the notebook. 

So once you get past and once you fire up this chunk of code right here, upload your CSV. Then once you upload it, you are going to name your data frame. 

So these are the only two cells you need to really change or do anything with if you want. Well, you need to. 

So we are uploading your file, and then we are grabbing that file name. In this case, mine was just "gsc-example.csv". Again, once you upload it, you will see the name in that output here. So you just put that within this code block, run this, and then you can do some really easy lines of code to check to make sure that your data is in there.

So one of the first ones that most people do is "df". This is your data frame that you named with your file right here. So you just do "df.head()". This shows you the first five rows of your data frame. You can also do "df.tail()", and it shows you the last five rows of your data frame.

You can even put in a number in here to modify how many rows you want to explore. So maybe you do "df.head(30)", and then you see the first 30 rows. It's that easy just to get it in there and to see it. Now comes the really fun stuff, and this is just tip of the iceberg.

So you can run this really, really cool code cell here to create a filterable table. What's powerful about this, especially with your Google Search Console data, is you can easily extract and explore keywords that have high click-through rate and a low ranking in search. It's one of my favorite ways to explore keyword opportunities for clients, and it couldn't be easier.

So check that out. This is kind of the money part right here. 

If you're doing keyword research, which can take a lot, right, you're trying to bucket keywords, you're trying to organize topics and all that good stuff, you can instantly create a new column with pandas with branded keyword terms.

So just to walk you through this, we're going "df["Branded"]". This is the name of the new column we're going to create. We have this query string "contains," and this is just regex, ("moz|rand|ose"). So any keywords that contain one of those words gets in the "Branded" column a "True".

So now that makes filtering and exploring that so much faster. You can even do this in ways where you can create an entirely different data frame table. So sometimes if you have lots and lots of data, you can use the other cell in that example. All of these examples will be in the notebook.

You can use that and export your keywords into buckets like that, and there's no stall time. Things don't freeze up like Excel. You can account for misspellings and all sorts of good stuff so, so easily with regular expressions. So super, super cool.

Conclusion

Again, this is just tip of the iceberg, my friends. I am most excited to sort of plant this seed within all of you so that you guys can come back and teach me what you've been able to accomplish. I think we have so much more to explore in this space. It is going to be so much fun. If you get a kick out of this and you want to continue exploring different models, different programs within Colab, I highly suggest you download the Colab Chrome extension.

It just makes opening up the notebook so much easier. You can save a copy to your drive and play with it all you want. It's so much fun. I hope this kind of sparked some inspiration in some of you, and I am so excited to hear what all of you think and create. I really appreciate you watching.

So thank you so much. I will see you all next time. Bye.

Video transcription by Speechpad.com

Ready for more?

You'll uncover even more SEO goodness in the MozCon 2020 video bundle. At this year's special low price of $129, this is invaluable content you can access again and again throughout the year to inspire and ignite your SEO strategy:

21 full-length videos from some of the brightest minds in digital marketing

Instant downloads and streaming to your computer, tablet, or mobile device

Downloadable slide decks for presentations

Get my MozCon 2020 video bundle

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!

[localwebmgmt]

Accessible Machine Learning for SEOs — Whiteboard Friday

Posted by BritneyMuller

Machine learning — a branch of artificial intelligence that studies the automatic improvement of computer algorithms — might seem far outside the scope of your SEO work. MozCon speaker (and all-around SEO genius) Britney Muller is here with a special edition of Whiteboard Friday to tell you why that's not true, and to go through a few steps to get you started. 

To see more on machine learning from Britney and our other MozCon 2020 speakers, check out this year's video bundle. 

Get my MozCon 2020 video bundle

Click on the whiteboard image above to open a high resolution version in a new tab!

Video Transcription

Hey, Moz fans. Welcome to this special edition of Whiteboard Friday. Today we are taking a sneak peek at what I spoke about at MozCon 2020, where I made machine learning accessible to SEOs everywhere.

This is so, so exciting because it is readily at your fingertips today, and I'm going to show you exactly how to get started. 

So to kick things off, I learned about this weird concept called brood parasites this summer, and it's fascinating. It's basically where one animal tricks another animal of the same species to raise its young.

It's fascinating, and the more I learned about it, the more I realized: oh my gosh, I'm sort of like a brood parasite when it comes to programming and machine learning! I latch on and find these great models that do all the work — all of the raising — and I put in my data and my ideas, and it does things for me.

So we are going to use this concept to our advantage. In fact, I have been able to teach my dad most of these models that, again, are readily available to you today within a tool called Colab. Let me just walk you through what that looks like. 

Models to get you started

So to get started, if you want to start warming up right now, just start practicing clicking "Shift" and then click "Enter".

Just start practicing that right now. It's half the battle. You're about to be firing up some really cool models. 



All right. What are some examples of that? What does that look like? So some of the models you can play with today are things like DeOldify, which is where you repair and colorize old photos. It's really, really fun. 

Another one is a text generator. I created one with GTP-2 — super silly, it's this excuse generator. You can manipulate it and make it do different things for you. 

There's also a really, really great forecasting model, where you basically put in a chunk of time series data and it predicts what the future might have in store. It's really, really powerful and fun.

You can summarize text, which is really valuable. Think about meta descriptions, all that good stuff. 

You can also automate keyword research grouping, which I'll show you here in a second. 

You can do really powerful internal link analysis, set up a notebook for that.

Perhaps one of the most powerful things is you can extract entities and categories as Google perceives them. It's one of my favorite APIs. It's through Google's NLP API. I pull it into a notebook, and you basically put the URLs you want to extract this information from and you can compare how your URL compares to competitors.

It's really, really valuable, fun stuff. So most importantly, you cannot break any of this. Do not be intimidated by any of the code whatsoever. Lots of seasoned developers don't know what's happening in some of those code blocks. It's okay.

Using Colab

We get to play in this environment. It's hosted in Google Drive, and so there's no fear of this breaking anything on your computer or with your data or anything. So just get ready to dive in with me. Please, it's going to be so much fun. Okay, so like I said, this is through a free tool called Colab. So you know how Google basically took Excel and made Google Sheets?

They did the same thing with what's known as Jupyter Notebooks. So these were locally on computers. It's one of the most popular notebook environments. But it requires some setup, and it can be somewhat clunky. It gets confused with different versions and yada, yada. Google put that into the cloud and is now calling it Colab. It's unbelievably powerful.

So, again, it's free. It's available to you right now if you want to open it up in a new tab. There is zero setup. Google also gives you access to free GPU and TPU computing, which is great. It has a 12-hour runtime. 

Some cons is that you can hit limits. So I hit the limits, and now I'm paying $9.99 a month for the Pro version and I've had no problems.

Again, I'm not affiliated with this whatsoever. I'm just super passionate about it, and the fact that they offer you a free version is so exciting. I've already seen a lot of people get started in this. It's also something to note that it's probably not as secure or robust as Google's Enterprise solution. So if you're doing this for a large company or you're getting really serious about this, you should probably check out some other options. But if you're just kind of dabbling and want to explore and have fun, let's keep this party going. 

Using pandas

All right. So again, this is basically a cloud hosted notebook environment. So one thing that I want to really focus on here, because I think it's the most valuable for SEOs, is this library known as "pandas".

Pandas is a data frame library, where you basically run one — or two — lines of code. You can choose your file from your local computer, so I usually just upload CSVs. This silly example is one that I really did run with Google Search Console data.

So you run this in a notebook. Again, I'm sharing this entire notebook with you today. So if you just go to it and you do this, it brings you through the cells. It's not as intimidating as it looks. So if you just click into that first cell, even if it's just that text cell, "Shift + Enter", it will bring you through the notebook. 

So once you get past and once you fire up this chunk of code right here, upload your CSV. Then once you upload it, you are going to name your data frame. 

So these are the only two cells you need to really change or do anything with if you want. Well, you need to. 

So we are uploading your file, and then we are grabbing that file name. In this case, mine was just "gsc-example.csv". Again, once you upload it, you will see the name in that output here. So you just put that within this code block, run this, and then you can do some really easy lines of code to check to make sure that your data is in there.

So one of the first ones that most people do is "df". This is your data frame that you named with your file right here. So you just do "df.head()". This shows you the first five rows of your data frame. You can also do "df.tail()", and it shows you the last five rows of your data frame.

You can even put in a number in here to modify how many rows you want to explore. So maybe you do "df.head(30)", and then you see the first 30 rows. It's that easy just to get it in there and to see it. Now comes the really fun stuff, and this is just tip of the iceberg.

So you can run this really, really cool code cell here to create a filterable table. What's powerful about this, especially with your Google Search Console data, is you can easily extract and explore keywords that have high click-through rate and a low ranking in search. It's one of my favorite ways to explore keyword opportunities for clients, and it couldn't be easier.

So check that out. This is kind of the money part right here. 

If you're doing keyword research, which can take a lot, right, you're trying to bucket keywords, you're trying to organize topics and all that good stuff, you can instantly create a new column with pandas with branded keyword terms.

So just to walk you through this, we're going "df["Branded"]". This is the name of the new column we're going to create. We have this query string "contains," and this is just regex, ("moz|rand|ose"). So any keywords that contain one of those words gets in the "Branded" column a "True".

So now that makes filtering and exploring that so much faster. You can even do this in ways where you can create an entirely different data frame table. So sometimes if you have lots and lots of data, you can use the other cell in that example. All of these examples will be in the notebook.

You can use that and export your keywords into buckets like that, and there's no stall time. Things don't freeze up like Excel. You can account for misspellings and all sorts of good stuff so, so easily with regular expressions. So super, super cool.

Conclusion

Again, this is just tip of the iceberg, my friends. I am most excited to sort of plant this seed within all of you so that you guys can come back and teach me what you've been able to accomplish. I think we have so much more to explore in this space. It is going to be so much fun. If you get a kick out of this and you want to continue exploring different models, different programs within Colab, I highly suggest you download the Colab Chrome extension.

It just makes opening up the notebook so much easier. You can save a copy to your drive and play with it all you want. It's so much fun. I hope this kind of sparked some inspiration in some of you, and I am so excited to hear what all of you think and create. I really appreciate you watching.

So thank you so much. I will see you all next time. Bye.

Video transcription by Speechpad.com

Ready for more?

You'll uncover even more SEO goodness in the MozCon 2020 video bundle. At this year's special low price of $129, this is invaluable content you can access again and again throughout the year to inspire and ignite your SEO strategy:

21 full-length videos from some of the brightest minds in digital marketing

Instant downloads and streaming to your computer, tablet, or mobile device

Downloadable slide decks for presentations

Get my MozCon 2020 video bundle

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!

[daynamartinez22]

Accessible Machine Learning for SEOs — Whiteboard Friday

Posted by BritneyMuller

Machine learning — a branch of artificial intelligence that studies the automatic improvement of computer algorithms — might seem far outside the scope of your SEO work. MozCon speaker (and all-around SEO genius) Britney Muller is here with a special edition of Whiteboard Friday to tell you why that's not true, and to go through a few steps to get you started. 

To see more on machine learning from Britney and our other MozCon 2020 speakers, check out this year's video bundle. 

Get my MozCon 2020 video bundle

Click on the whiteboard image above to open a high resolution version in a new tab!

Video Transcription

Hey, Moz fans. Welcome to this special edition of Whiteboard Friday. Today we are taking a sneak peek at what I spoke about at MozCon 2020, where I made machine learning accessible to SEOs everywhere.

This is so, so exciting because it is readily at your fingertips today, and I'm going to show you exactly how to get started. 

So to kick things off, I learned about this weird concept called brood parasites this summer, and it's fascinating. It's basically where one animal tricks another animal of the same species to raise its young.

It's fascinating, and the more I learned about it, the more I realized: oh my gosh, I'm sort of like a brood parasite when it comes to programming and machine learning! I latch on and find these great models that do all the work — all of the raising — and I put in my data and my ideas, and it does things for me.

So we are going to use this concept to our advantage. In fact, I have been able to teach my dad most of these models that, again, are readily available to you today within a tool called Colab. Let me just walk you through what that looks like. 

Models to get you started

So to get started, if you want to start warming up right now, just start practicing clicking "Shift" and then click "Enter".

Just start practicing that right now. It's half the battle. You're about to be firing up some really cool models. 



All right. What are some examples of that? What does that look like? So some of the models you can play with today are things like DeOldify, which is where you repair and colorize old photos. It's really, really fun. 

Another one is a text generator. I created one with GTP-2 — super silly, it's this excuse generator. You can manipulate it and make it do different things for you. 

There's also a really, really great forecasting model, where you basically put in a chunk of time series data and it predicts what the future might have in store. It's really, really powerful and fun.

You can summarize text, which is really valuable. Think about meta descriptions, all that good stuff. 

You can also automate keyword research grouping, which I'll show you here in a second. 

You can do really powerful internal link analysis, set up a notebook for that.

Perhaps one of the most powerful things is you can extract entities and categories as Google perceives them. It's one of my favorite APIs. It's through Google's NLP API. I pull it into a notebook, and you basically put the URLs you want to extract this information from and you can compare how your URL compares to competitors.

It's really, really valuable, fun stuff. So most importantly, you cannot break any of this. Do not be intimidated by any of the code whatsoever. Lots of seasoned developers don't know what's happening in some of those code blocks. It's okay.

Using Colab

We get to play in this environment. It's hosted in Google Drive, and so there's no fear of this breaking anything on your computer or with your data or anything. So just get ready to dive in with me. Please, it's going to be so much fun. Okay, so like I said, this is through a free tool called Colab. So you know how Google basically took Excel and made Google Sheets?

They did the same thing with what's known as Jupyter Notebooks. So these were locally on computers. It's one of the most popular notebook environments. But it requires some setup, and it can be somewhat clunky. It gets confused with different versions and yada, yada. Google put that into the cloud and is now calling it Colab. It's unbelievably powerful.

So, again, it's free. It's available to you right now if you want to open it up in a new tab. There is zero setup. Google also gives you access to free GPU and TPU computing, which is great. It has a 12-hour runtime. 

Some cons is that you can hit limits. So I hit the limits, and now I'm paying $9.99 a month for the Pro version and I've had no problems.

Again, I'm not affiliated with this whatsoever. I'm just super passionate about it, and the fact that they offer you a free version is so exciting. I've already seen a lot of people get started in this. It's also something to note that it's probably not as secure or robust as Google's Enterprise solution. So if you're doing this for a large company or you're getting really serious about this, you should probably check out some other options. But if you're just kind of dabbling and want to explore and have fun, let's keep this party going. 

Using pandas

All right. So again, this is basically a cloud hosted notebook environment. So one thing that I want to really focus on here, because I think it's the most valuable for SEOs, is this library known as "pandas".

Pandas is a data frame library, where you basically run one — or two — lines of code. You can choose your file from your local computer, so I usually just upload CSVs. This silly example is one that I really did run with Google Search Console data.

So you run this in a notebook. Again, I'm sharing this entire notebook with you today. So if you just go to it and you do this, it brings you through the cells. It's not as intimidating as it looks. So if you just click into that first cell, even if it's just that text cell, "Shift + Enter", it will bring you through the notebook. 

So once you get past and once you fire up this chunk of code right here, upload your CSV. Then once you upload it, you are going to name your data frame. 

So these are the only two cells you need to really change or do anything with if you want. Well, you need to. 

So we are uploading your file, and then we are grabbing that file name. In this case, mine was just "gsc-example.csv". Again, once you upload it, you will see the name in that output here. So you just put that within this code block, run this, and then you can do some really easy lines of code to check to make sure that your data is in there.

So one of the first ones that most people do is "df". This is your data frame that you named with your file right here. So you just do "df.head()". This shows you the first five rows of your data frame. You can also do "df.tail()", and it shows you the last five rows of your data frame.

You can even put in a number in here to modify how many rows you want to explore. So maybe you do "df.head(30)", and then you see the first 30 rows. It's that easy just to get it in there and to see it. Now comes the really fun stuff, and this is just tip of the iceberg.

So you can run this really, really cool code cell here to create a filterable table. What's powerful about this, especially with your Google Search Console data, is you can easily extract and explore keywords that have high click-through rate and a low ranking in search. It's one of my favorite ways to explore keyword opportunities for clients, and it couldn't be easier.

So check that out. This is kind of the money part right here. 

If you're doing keyword research, which can take a lot, right, you're trying to bucket keywords, you're trying to organize topics and all that good stuff, you can instantly create a new column with pandas with branded keyword terms.

So just to walk you through this, we're going "df["Branded"]". This is the name of the new column we're going to create. We have this query string "contains," and this is just regex, ("moz|rand|ose"). So any keywords that contain one of those words gets in the "Branded" column a "True".

So now that makes filtering and exploring that so much faster. You can even do this in ways where you can create an entirely different data frame table. So sometimes if you have lots and lots of data, you can use the other cell in that example. All of these examples will be in the notebook.

You can use that and export your keywords into buckets like that, and there's no stall time. Things don't freeze up like Excel. You can account for misspellings and all sorts of good stuff so, so easily with regular expressions. So super, super cool.

Conclusion

Again, this is just tip of the iceberg, my friends. I am most excited to sort of plant this seed within all of you so that you guys can come back and teach me what you've been able to accomplish. I think we have so much more to explore in this space. It is going to be so much fun. If you get a kick out of this and you want to continue exploring different models, different programs within Colab, I highly suggest you download the Colab Chrome extension.

It just makes opening up the notebook so much easier. You can save a copy to your drive and play with it all you want. It's so much fun. I hope this kind of sparked some inspiration in some of you, and I am so excited to hear what all of you think and create. I really appreciate you watching.

So thank you so much. I will see you all next time. Bye.

Video transcription by Speechpad.com

Ready for more?

You'll uncover even more SEO goodness in the MozCon 2020 video bundle. At this year's special low price of $129, this is invaluable content you can access again and again throughout the year to inspire and ignite your SEO strategy:

21 full-length videos from some of the brightest minds in digital marketing

Instant downloads and streaming to your computer, tablet, or mobile device

Downloadable slide decks for presentations

Get my MozCon 2020 video bundle

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!