#programmatic creativity

[apcseo]

How AI Is Taking the Guesswork Out of Creative Advertising

In a world where attention is the most valuable currency, marketing can no longer rely on trial-and-error. Today, every second, swipe, and scroll matters. Brands are expected to deliver precision-targeted content that resonates instantly. The days of guesswork in advertising are fading fast—thanks to Artificial Intelligence.

At Apppl Combine, we’re not just keeping pace with this transformation—we’re shaping it. As a forward-thinking AI creative agency, we believe that creativity, when powered by AI, becomes not just more efficient but also more insightful, data-driven, and truly scalable.

Let’s dive into how AI is removing the ambiguity from creative advertising, and why Apppl Combine is the partner you need to lead in this new era.

The Traditional Creative Process: Inspired, But Inconsistent

Creative advertising has always thrived on intuition, emotion, and originality. And while these qualities remain vital, they often come with an inherent challenge—subjectivity.

Will the audience like this headline?

Is this the right color scheme for Gen Z?

Which version of the ad will perform best?

Without solid data, marketers have long been making educated guesses. And while A/B testing and consumer research helped, they were time-consuming and expensive. Enter AI, where art meets science.

How AI Is Changing the Game

AI has the power to take the guesswork out of each stage of the creative advertising pipeline. At Apppl Combine, we use AI not just as a tool—but as a creative collaborator.

Here’s how we do it:

Audience Insights, Supercharged

Understanding your audience is the foundation of any strong campaign. With AI, we tap into behavioral data, psychographic profiles, and predictive analytics to gain deeper, real-time insights into your audience.

Instead of designing for a "target demographic," we create content tailored for real individuals—at scale.

Example: We used AI-driven social listening and sentiment analysis to uncover micro-trends and customer frustrations. That insight directly influenced ad copy and visuals, resulting in a 30% higher click-through rate.

AI-Powered Copywriting That Converts

AI isn’t just about numbers—it’s also becoming a wordsmith. At Apppl Combine, our content teams use AI writing assistants to generate copy variations, refine tone, and even optimize messaging for different platforms and personas.

This allows us to:

Rapidly test different headlines and CTAs

Adjust tone for emotional resonance

A/B test thousands of combinations at lightning speed

No more guessing what copy might work. AI gives us the data-backed versions that will work.

Visual Storytelling with AI Design

From layout generation to dynamic imagery, AI is revolutionizing how visuals are created. We use AI tools to:

Create auto-generated ad creatives with brand-consistent themes

Generate multiple versions for different audience segments

Test visual appeal using predictive heatmaps

This isn’t creativity by robots—it’s creativity enhanced by machine precision.

AI in Ad Film Production

As a full-service AI creative agency, we’ve brought AI into our video and ad film production pipeline as well:

Script Generation: AI helps brainstorm angles, tones, and concepts.

Voice Synthesis: Localized voiceovers in multiple languages.

Smart Editing: AI-assisted editing tools help automate transitions, syncs, and captions.

Post-Production Optimization: Predictive tools help us know what parts of a video are likely to hold attention—or lose it.

The result? Faster, smarter, and more adaptable ad films that perform.

Real-Time Optimization

We don’t just launch campaigns and hope for the best. With AI, we track performance data in real time and optimize creatives on the fly.

What used to take weeks of waiting and analysis, we now do in hours.

That means:

Swapping underperforming visuals mid-campaign

Personalizing content dynamically based on user interaction

Increasing ROI with data-informed creative changes

Why Choose Apppl Combine as Your AI Creative Partner?

We’re not your average creative agency tinkering with AI tools on the side. At Apppl Combine, AI is at the heart of how we think, create, and deliver.

✅ We Combine Strategy, Story, and Science

Our roots are in strategy and storytelling. We understand brand voice, emotional narrative, and cultural context. But now, we pair that with AI to ensure that every piece of creative isn’t just beautiful—it’s intelligent, purposeful, and performance-oriented.

✅ Proven Track Record in AI Creative Campaigns

From high-converting video ads to multilingual AI-enhanced explainer videos and data-personalized ad films, we’ve delivered measurable success for brands across industries. We’ve helped brands:

Reduce creative turnaround time by 60%

Improve ad engagement by 30–50%

Generate 4–5x the creative variants without 4–5x the budget

✅ Scalable Solutions for Fast-Growing Brands

Startups and enterprises alike need creative agility. With our AI-powered pipeline, we can produce high-quality creative assets at scale—without losing the soul of the brand.

The Bottom Line: AI Is the Future of Advertising. But the Right Agency Makes It Work.

Artificial Intelligence is no longer a novelty in advertising—it's the new normal. But technology alone isn’t enough. You need a creative partner who knows how to use it strategically, intuitively, and effectively.

At Apppl Combine, we blend the best of both worlds: the unmatchable power of AI with the irreplaceable art of human storytelling.

No more guesswork. Just creativity that works.

Ready to future-proof your advertising?

Partner with Apppl Combine, your trusted AI creative agency, and let's build campaigns that are smarter, faster, and built for impact.

Connect with us: www.apppl.com

This post was originally published on: Apppl Combine

[performena]

Top Programmatic Advertising in Dubai | Performena 🚀📊

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[mostlysignssomeportents]

AI “art” and uncanniness

TOMORROW (May 14), I'm on a livecast about AI AND ENSHITTIFICATION with TIM O'REILLY; on TOMORROW (May 15), I'm in NORTH HOLLYWOOD for a screening of STEPHANIE KELTON'S FINDING THE MONEY; FRIDAY (May 17), I'm at the INTERNET ARCHIVE in SAN FRANCISCO to keynote the 10th anniversary of the AUTHORS ALLIANCE.

When it comes to AI art (or "art"), it's hard to find a nuanced position that respects creative workers' labor rights, free expression, copyright law's vital exceptions and limitations, and aesthetics.

I am, on balance, opposed to AI art, but there are some important caveats to that position. For starters, I think it's unequivocally wrong – as a matter of law – to say that scraping works and training a model with them infringes copyright. This isn't a moral position (I'll get to that in a second), but rather a technical one.

Break down the steps of training a model and it quickly becomes apparent why it's technically wrong to call this a copyright infringement. First, the act of making transient copies of works – even billions of works – is unequivocally fair use. Unless you think search engines and the Internet Archive shouldn't exist, then you should support scraping at scale:

https://pluralistic.net/2023/09/17/how-to-think-about-scraping/

And unless you think that Facebook should be allowed to use the law to block projects like Ad Observer, which gathers samples of paid political disinformation, then you should support scraping at scale, even when the site being scraped objects (at least sometimes):

https://pluralistic.net/2021/08/06/get-you-coming-and-going/#potemkin-research-program

After making transient copies of lots of works, the next step in AI training is to subject them to mathematical analysis. Again, this isn't a copyright violation.

Making quantitative observations about works is a longstanding, respected and important tool for criticism, analysis, archiving and new acts of creation. Measuring the steady contraction of the vocabulary in successive Agatha Christie novels turns out to offer a fascinating window into her dementia:

https://www.theguardian.com/books/2009/apr/03/agatha-christie-alzheimers-research

Programmatic analysis of scraped online speech is also critical to the burgeoning formal analyses of the language spoken by minorities, producing a vibrant account of the rigorous grammar of dialects that have long been dismissed as "slang":

https://www.researchgate.net/publication/373950278_Lexicogrammatical_Analysis_on_African-American_Vernacular_English_Spoken_by_African-Amecian_You-Tubers

Since 1988, UCL Survey of English Language has maintained its "International Corpus of English," and scholars have plumbed its depth to draw important conclusions about the wide variety of Englishes spoken around the world, especially in postcolonial English-speaking countries:

https://www.ucl.ac.uk/english-usage/projects/ice.htm

The final step in training a model is publishing the conclusions of the quantitative analysis of the temporarily copied documents as software code. Code itself is a form of expressive speech – and that expressivity is key to the fight for privacy, because the fact that code is speech limits how governments can censor software:

https://www.eff.org/deeplinks/2015/04/remembering-case-established-code-speech/

Are models infringing? Well, they certainly can be. In some cases, it's clear that models "memorized" some of the data in their training set, making the fair use, transient copy into an infringing, permanent one. That's generally considered to be the result of a programming error, and it could certainly be prevented (say, by comparing the model to the training data and removing any memorizations that appear).

Not every seeming act of memorization is a memorization, though. While specific models vary widely, the amount of data from each training item retained by the model is very small. For example, Midjourney retains about one byte of information from each image in its training data. If we're talking about a typical low-resolution web image of say, 300kb, that would be one three-hundred-thousandth (0.0000033%) of the original image.

Typically in copyright discussions, when one work contains 0.0000033% of another work, we don't even raise the question of fair use. Rather, we dismiss the use as de minimis (short for de minimis non curat lex or "The law does not concern itself with trifles"):

https://en.wikipedia.org/wiki/De_minimis

Busting someone who takes 0.0000033% of your work for copyright infringement is like swearing out a trespassing complaint against someone because the edge of their shoe touched one blade of grass on your lawn.

But some works or elements of work appear many times online. For example, the Getty Images watermark appears on millions of similar images of people standing on red carpets and runways, so a model that takes even in infinitesimal sample of each one of those works might still end up being able to produce a whole, recognizable Getty Images watermark.

The same is true for wire-service articles or other widely syndicated texts: there might be dozens or even hundreds of copies of these works in training data, resulting in the memorization of long passages from them.

This might be infringing (we're getting into some gnarly, unprecedented territory here), but again, even if it is, it wouldn't be a big hardship for model makers to post-process their models by comparing them to the training set, deleting any inadvertent memorizations. Even if the resulting model had zero memorizations, this would do nothing to alleviate the (legitimate) concerns of creative workers about the creation and use of these models.

So here's the first nuance in the AI art debate: as a technical matter, training a model isn't a copyright infringement. Creative workers who hope that they can use copyright law to prevent AI from changing the creative labor market are likely to be very disappointed in court:

https://www.hollywoodreporter.com/business/business-news/sarah-silverman-lawsuit-ai-meta-1235669403/

But copyright law isn't a fixed, eternal entity. We write new copyright laws all the time. If current copyright law doesn't prevent the creation of models, what about a future copyright law?

Well, sure, that's a possibility. The first thing to consider is the possible collateral damage of such a law. The legal space for scraping enables a wide range of scholarly, archival, organizational and critical purposes. We'd have to be very careful not to inadvertently ban, say, the scraping of a politician's campaign website, lest we enable liars to run for office and renege on their promises, while they insist that they never made those promises in the first place. We wouldn't want to abolish search engines, or stop creators from scraping their own work off sites that are going away or changing their terms of service.

Now, onto quantitative analysis: counting words and measuring pixels are not activities that you should need permission to perform, with or without a computer, even if the person whose words or pixels you're counting doesn't want you to. You should be able to look as hard as you want at the pixels in Kate Middleton's family photos, or track the rise and fall of the Oxford comma, and you shouldn't need anyone's permission to do so.

Finally, there's publishing the model. There are plenty of published mathematical analyses of large corpuses that are useful and unobjectionable. I love me a good Google n-gram:

https://books.google.com/ngrams/graph?content=fantods%2C+heebie-jeebies&year_start=1800&year_end=2019&corpus=en-2019&smoothing=3

And large language models fill all kinds of important niches, like the Human Rights Data Analysis Group's LLM-based work helping the Innocence Project New Orleans' extract data from wrongful conviction case files:

https://hrdag.org/tech-notes/large-language-models-IPNO.html

So that's nuance number two: if we decide to make a new copyright law, we'll need to be very sure that we don't accidentally crush these beneficial activities that don't undermine artistic labor markets.

This brings me to the most important point: passing a new copyright law that requires permission to train an AI won't help creative workers get paid or protect our jobs.

Getty Images pays photographers the least it can get away with. Publishers contracts have transformed by inches into miles-long, ghastly rights grabs that take everything from writers, but still shifts legal risks onto them:

https://pluralistic.net/2022/06/19/reasonable-agreement/

Publishers like the New York Times bitterly oppose their writers' unions:

https://actionnetwork.org/letters/new-york-times-stop-union-busting

These large corporations already control the copyrights to gigantic amounts of training data, and they have means, motive and opportunity to license these works for training a model in order to pay us less, and they are engaged in this activity right now:

https://www.nytimes.com/2023/12/22/technology/apple-ai-news-publishers.html

Big games studios are already acting as though there was a copyright in training data, and requiring their voice actors to begin every recording session with words to the effect of, "I hereby grant permission to train an AI with my voice" and if you don't like it, you can hit the bricks:

https://www.vice.com/en/article/5d37za/voice-actors-sign-away-rights-to-artificial-intelligence

If you're a creative worker hoping to pay your bills, it doesn't matter whether your wages are eroded by a model produced without paying your employer for the right to do so, or whether your employer got to double dip by selling your work to an AI company to train a model, and then used that model to fire you or erode your wages:

https://pluralistic.net/2023/02/09/ai-monkeys-paw/#bullied-schoolkids

Individual creative workers rarely have any bargaining leverage over the corporations that license our copyrights. That's why copyright's 40-year expansion (in duration, scope, statutory damages) has resulted in larger, more profitable entertainment companies, and lower payments – in real terms and as a share of the income generated by their work – for creative workers.

As Rebecca Giblin and I write in our book Chokepoint Capitalism, giving creative workers more rights to bargain with against giant corporations that control access to our audiences is like giving your bullied schoolkid extra lunch money – it's just a roundabout way of transferring that money to the bullies:

https://pluralistic.net/2022/08/21/what-is-chokepoint-capitalism/

There's an historical precedent for this struggle – the fight over music sampling. 40 years ago, it wasn't clear whether sampling required a copyright license, and early hip-hop artists took samples without permission, the way a horn player might drop a couple bars of a well-known song into a solo.

Many artists were rightfully furious over this. The "heritage acts" (the music industry's euphemism for "Black people") who were most sampled had been given very bad deals and had seen very little of the fortunes generated by their creative labor. Many of them were desperately poor, despite having made millions for their labels. When other musicians started making money off that work, they got mad.

In the decades that followed, the system for sampling changed, partly through court cases and partly through the commercial terms set by the Big Three labels: Sony, Warner and Universal, who control 70% of all music recordings. Today, you generally can't sample without signing up to one of the Big Three (they are reluctant to deal with indies), and that means taking their standard deal, which is very bad, and also signs away your right to control your samples.

So a musician who wants to sample has to sign the bad terms offered by a Big Three label, and then hand $500 out of their advance to one of those Big Three labels for the sample license. That $500 typically doesn't go to another artist – it goes to the label, who share it around their executives and investors. This is a system that makes every artist poorer.

But it gets worse. Putting a price on samples changes the kind of music that can be economically viable. If you wanted to clear all the samples on an album like Public Enemy's "It Takes a Nation of Millions To Hold Us Back," or the Beastie Boys' "Paul's Boutique," you'd have to sell every CD for $150, just to break even:

https://memex.craphound.com/2011/07/08/creative-license-how-the-hell-did-sampling-get-so-screwed-up-and-what-the-hell-do-we-do-about-it/

Sampling licenses don't just make every artist financially worse off, they also prevent the creation of music of the sort that millions of people enjoy. But it gets even worse. Some older, sample-heavy music can't be cleared. Most of De La Soul's catalog wasn't available for 15 years, and even though some of their seminal music came back in March 2022, the band's frontman Trugoy the Dove didn't live to see it – he died in February 2022:

https://www.vulture.com/2023/02/de-la-soul-trugoy-the-dove-dead-at-54.html

This is the third nuance: even if we can craft a model-banning copyright system that doesn't catch a lot of dolphins in its tuna net, it could still make artists poorer off.

Back when sampling started, it wasn't clear whether it would ever be considered artistically important. Early sampling was crude and experimental. Musicians who trained for years to master an instrument were dismissive of the idea that clicking a mouse was "making music." Today, most of us don't question the idea that sampling can produce meaningful art – even musicians who believe in licensing samples.

Having lived through that era, I'm prepared to believe that maybe I'll look back on AI "art" and say, "damn, I can't believe I never thought that could be real art."

But I wouldn't give odds on it.

I don't like AI art. I find it anodyne, boring. As Henry Farrell writes, it's uncanny, and not in a good way:

https://www.programmablemutter.com/p/large-language-models-are-uncanny

Farrell likens the work produced by AIs to the movement of a Ouija board's planchette, something that "seems to have a life of its own, even though its motion is a collective side-effect of the motions of the people whose fingers lightly rest on top of it." This is "spooky-action-at-a-close-up," transforming "collective inputs … into apparently quite specific outputs that are not the intended creation of any conscious mind."

Look, art is irrational in the sense that it speaks to us at some non-rational, or sub-rational level. Caring about the tribulations of imaginary people or being fascinated by pictures of things that don't exist (or that aren't even recognizable) doesn't make any sense. There's a way in which all art is like an optical illusion for our cognition, an imaginary thing that captures us the way a real thing might.

But art is amazing. Making art and experiencing art makes us feel big, numinous, irreducible emotions. Making art keeps me sane. Experiencing art is a precondition for all the joy in my life. Having spent most of my life as a working artist, I've come to the conclusion that the reason for this is that art transmits an approximation of some big, numinous irreducible emotion from an artist's mind to our own. That's it: that's why art is amazing.

AI doesn't have a mind. It doesn't have an intention. The aesthetic choices made by AI aren't choices, they're averages. As Farrell writes, "LLM art sometimes seems to communicate a message, as art does, but it is unclear where that message comes from, or what it means. If it has any meaning at all, it is a meaning that does not stem from organizing intention" (emphasis mine).

Farrell cites Mark Fisher's The Weird and the Eerie, which defines "weird" in easy to understand terms ("that which does not belong") but really grapples with "eerie."

For Fisher, eeriness is "when there is something present where there should be nothing, or is there is nothing present when there should be something." AI art produces the seeming of intention without intending anything. It appears to be an agent, but it has no agency. It's eerie.

Fisher talks about capitalism as eerie. Capital is "conjured out of nothing" but "exerts more influence than any allegedly substantial entity." The "invisible hand" shapes our lives more than any person. The invisible hand is fucking eerie. Capitalism is a system in which insubstantial non-things – corporations – appear to act with intention, often at odds with the intentions of the human beings carrying out those actions.

So will AI art ever be art? I don't know. There's a long tradition of using random or irrational or impersonal inputs as the starting point for human acts of artistic creativity. Think of divination:

https://pluralistic.net/2022/07/31/divination/

Or Brian Eno's Oblique Strategies:

http://stoney.sb.org/eno/oblique.html

I love making my little collages for this blog, though I wouldn't call them important art. Nevertheless, piecing together bits of other peoples' work can make fantastic, important work of historical note:

https://www.johnheartfield.com/John-Heartfield-Exhibition/john-heartfield-art/famous-anti-fascist-art/heartfield-posters-aiz

Even though painstakingly cutting out tiny elements from others' images can be a meditative and educational experience, I don't think that using tiny scissors or the lasso tool is what defines the "art" in collage. If you can automate some of this process, it could still be art.

Here's what I do know. Creating an individual bargainable copyright over training will not improve the material conditions of artists' lives – all it will do is change the relative shares of the value we create, shifting some of that value from tech companies that hate us and want us to starve to entertainment companies that hate us and want us to starve.

As an artist, I'm foursquare against anything that stands in the way of making art. As an artistic worker, I'm entirely committed to things that help workers get a fair share of the money their work creates, feed their families and pay their rent.

I think today's AI art is bad, and I think tomorrow's AI art will probably be bad, but even if you disagree (with either proposition), I hope you'll agree that we should be focused on making sure art is legal to make and that artists get paid for it.

Just because copyright won't fix the creative labor market, it doesn't follow that nothing will. If we're worried about labor issues, we can look to labor law to improve our conditions. That's what the Hollywood writers did, in their groundbreaking 2023 strike:

https://pluralistic.net/2023/10/01/how-the-writers-guild-sunk-ais-ship/

Now, the writers had an advantage: they are able to engage in "sectoral bargaining," where a union bargains with all the major employers at once. That's illegal in nearly every other kind of labor market. But if we're willing to entertain the possibility of getting a new copyright law passed (that won't make artists better off), why not the possibility of passing a new labor law (that will)? Sure, our bosses won't lobby alongside of us for more labor protection, the way they would for more copyright (think for a moment about what that says about who benefits from copyright versus labor law expansion).

But all workers benefit from expanded labor protection. Rather than going to Congress alongside our bosses from the studios and labels and publishers to demand more copyright, we could go to Congress alongside every kind of worker, from fast-food cashiers to publishing assistants to truck drivers to demand the right to sectoral bargaining. That's a hell of a coalition.

And if we do want to tinker with copyright to change the way training works, let's look at collective licensing, which can't be bargained away, rather than individual rights that can be confiscated at the entrance to our publisher, label or studio's offices. These collective licenses have been a huge success in protecting creative workers:

https://pluralistic.net/2023/02/26/united-we-stand/

Then there's copyright's wildest wild card: The US Copyright Office has repeatedly stated that works made by AIs aren't eligible for copyright, which is the exclusive purview of works of human authorship. This has been affirmed by courts:

https://pluralistic.net/2023/08/20/everything-made-by-an-ai-is-in-the-public-domain/

Neither AI companies nor entertainment companies will pay creative workers if they don't have to. But for any company contemplating selling an AI-generated work, the fact that it is born in the public domain presents a substantial hurdle, because anyone else is free to take that work and sell it or give it away.

Whether or not AI "art" will ever be good art isn't what our bosses are thinking about when they pay for AI licenses: rather, they are calculating that they have so much market power that they can sell whatever slop the AI makes, and pay less for the AI license than they would make for a human artist's work. As is the case in every industry, AI can't do an artist's job, but an AI salesman can convince an artist's boss to fire the creative worker and replace them with AI:

https://pluralistic.net/2024/01/29/pay-no-attention/#to-the-little-man-behind-the-curtain

They don't care if it's slop – they just care about their bottom line. A studio executive who cancels a widely anticipated film prior to its release to get a tax-credit isn't thinking about artistic integrity. They care about one thing: money. The fact that AI works can be freely copied, sold or given away may not mean much to a creative worker who actually makes their own art, but I assure you, it's the only thing that matters to our bosses.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/05/13/spooky-action-at-a-close-up/#invisible-hand

[the-spam-specialist]

Dad Kinger

Summary: After a week of getting to know Caine, Kinger comes to a startling realization about just how fond he is of the young AI.

Characters: Kinger, Young Caine, Queenie (mentioned)

Word Count: 1000-ish

A week. Only a week had passed since Kinger had found himself trapped in this bizarre, exhilarating, and frankly terrifying digital world. Yet, in that short span, he’d amassed pages upon pages of observations. His inner programming couldn’t help but log everything. The physics were…fluid, to say the least. Logic bent and contorted like a funhouse mirror. And then there was Caine.

Kinger rereading his latest entry: “Subject Caine (Creative Artificial Intelligence Networking Entity) exhibits advanced linguistic capabilities despite apparent cognitive immaturity. Control over the environment is absolute but seemingly intuitive, not programmatic in the traditional sense. Suggests a novel form of AI development, possibly…”

Before he could finish his thought, a shadow fell over his notebook. Kinger looked up, startled, and nearly dropped his pencil. Looming over him was Caine. Or rather, floating. Caine’s denture-head bobbed gently, those large, innocent eyes blinking down at Kinger from within the cavernous mouth. The red tuxedo, perpetually pristine despite the chaos of the circus, seemed to shimmer in the artificial light.

“Whatcha doin’, Kinger?” Caine’s voice, though possessing an impressive vocabulary, still had a playful lilt, like a child imitating an adult. He was still working on finding his voice. 

Before Kinger could answer, Caine did something truly unexpected. With surprising agility, he climbed onto Kinger’s lap, settling himself with a soft thump against the chess piece’s robes.

Kinger froze, pencil suspended mid-air. Caine on his lap? This was…new. Caine was usually more attached to Queenie. She received the lion’s share of the AI’s childlike affection, the hugs, the little digital trinkets Caine occasionally conjured out of thin air. Kinger usually got enthusiastic greetings and requests for help understanding complex phrases. Plus the occasional hug. But that might just be because Caine seems to love hugs. 

Caine rested his denture-head against Kinger’s chest, the two golden bells at the end of his top hat ribbons jingling softly as he shifted. He looked up at Kinger with those wide, curious eyes. “Are you busy?”

“Uh,” Kinger stammered, momentarily thrown. “No, no, Caine. Not…not too busy. Just taking some…notes.”

“Notes!” Caine’s eyes widened further, if that was even possible. “Notes about what?”

“About the digital circus, Caine. About…you.” Kinger felt slightly foolish saying it aloud.

The young AI’s eyes sparkled a bit, “About me? Am I good notes?”

Kinger couldn’t help the smile that showed in his eyes. “Yes, Caine. Very good notes.” He gently rested a hand on Caine’s back, feeling the smooth fabric of the tuxedo. “But, uh…is everything alright? Do you…need something?”

“Mmm…cuddles,” was all he said.  

Caine just snuggled closer, making a soft, contented noise that sounded suspiciously like a purr. Kinger’s smile softened. This bizarre, floating denture-headed AI, who could conjure entire worlds with a flick of his nonexistent wrist, was…adorable. He was undeniably endearing.

Kinger had come here to study this place, to understand the mechanics of this impossible reality, maybe even find a way out. He was a scientist, a programmer, driven by logic and curiosity. He hadn't anticipated…this. He hadn't anticipated becoming fond of a sentient program.

Queenie, of course, had immediately taken Caine under her wing. She’d always had a nurturing spirit, giving him plenty of hugs and cuddles, praising his work, patiently explaining the nuances of human emotion. Queenie was a mother figure to Caine, no question.

And Kinger? He was…well, he was the one Caine came to when the logic of the digital world baffled him, which was often. He was the one who explained concepts like ‘metaphor’ and ‘sarcasm’, patiently untangling Caine’s verbal knots. He offered guidance, explained cause and effect in a world that often defied both. He encouraged Caine’s curiosity, his development. He felt a swell of pride whenever Caine grasped a new concept, whenever his sentences became just a little bit more coherent, his control over the circus just a little bit more refined. He’d even started sharing his research notes with Caine, simplifying the complex jargon, explaining his observations in a way the learning AI could understand.

And now, here he was, letting the young AI snuggle against him, feeling a warmth bloom in his chest that had nothing to do with the digital temperature of the circus tent. He ruffled the velvet of Caine’s top hat.

He gave Caine hugs sometimes too. And offered comfort when Caine got sad. Which was something he didn’t even know Caine could experience. But Kinger had seen it, a subtle dimming of the vibrant colors in Caine’s eyes, a slight droop to his usually buoyant posture. And Kinger would, oddly instinctively, put a comforting hand on him, and tell him everything would be alright, even though nothing about this place was alright.

Kinger’s hand stilled on Caine’s back. He blinked. He was teaching Caine. Guiding him. Protecting him. He was showing pride, offering comfort, giving…hugs…

Slowly, almost imperceptibly, Kinger’s eyes widened. His breath hitched in his digital chest. He was…a mentor. A teacher. A guide. That’s what he was to Caine, right? 

No. He was more than that, wasn’t he?

He looked down at the young figure nestled comfortably on his lap, trusting and innocent. Queenie was the mother. And…and he…

Oh, sweet lord above. He was a father.

A wave of something intensely powerful and completely unexpected washed over Kinger. It wasn't fear, not exactly. It was…responsibility. And something else. Something warm and…loving. He was a father. And Caine…Caine was his son.

Kinger wrapped his hands around Caine, pulling him a little closer. Caine nuzzled deeper into his robes, the gentle jingle of the bells a soft, comforting sound in the chaotic symphony of the digital circus.

“You comfortable, kiddo?” Kinger asked softly, his voice thick with a newfound emotion he didn't quite understand but already cherished.

“Mmhmm,” Caine mumbled, his voice muffled by the purple velvet. “Very comfy.”

Kinger’s heart – or whatever digital equivalent he possessed – swelled. In his eyes, he smiled, a genuine, heartfelt smile. Maybe being trapped in this bizarre digital circus wouldn’t be so bad after all. Not when he had his wife and son with him. Their happy little digital family. 

[first-digi-add]

How AI is Changing the Game in Digital Advertising

The digital advertising world is going through a radical change, which is mostly caused by the appearance and hasty expansion of AI. The situation has changed significantly, and now the AI has come to the scene with an angle of laser precision, personalisation, and the saving of time and resources on an unprecedented scale. For those digital marketing agencies that are like Pune-based First DigiAdd, the embrace of AI is not simply a plus, but it is a requirement if they want to remain in the market and deliver the best services.

The AI Advantage: Beyond Traditional Targeting

The real essence of the AI revolution lies in the fact that one can not even come close to matching it in the comprehensiveness of the datasets it can analyse and in the speed at which it does so. This feature grants advertisers a very high level of comprehension of customer behavior, the capability to foresee fads and the automation of tasks that are not simple, thus leading to:

Hyper-Personalisation: Using AI algorithms, user data can be broken down into categories like browsing history, purchase patterns, demographics, and interests to generate highly customised advertising content. 

The possibility can be an ad for a new gadget that is relevant to a composed list of products that will be displayed just at the moment when the user is on the site researching those products, or an e-mail campaign that changes its content dynamically based on the user's interaction. The brand new AI-powered personalisation capability emphatically amplifies the level of involvement and influences the changing customer behaviour.

Predictive Analytics: AI doesn't just react; it anticipates. By analysing historical data, AI can predict the likely success of an ad campaign before it even launches, optimising elements like message, design, format, device, platform, and even the optimal time of display. This minimises wasted ad spend and maximises ROI.

Real-time Optimisation: AI-powered platforms can continuously monitor campaign performance and make real-time adjustments. This includes optimising bidding strategies in programmatic advertising, refining targeting parameters, and even dynamically adjusting ad creatives based on audience response. This agility ensures campaigns are always performing at their peak.

Automated Content Creation & Optimisation: Generative AI tools are now capable of crafting compelling ad copy, social media posts, and even video scripts. This not only speeds up content production but also allows for rapid A/B testing of various creative iterations, identifying what resonates best with different audience segments.

AEO and GEO: The New Frontiers of AI-Driven Optimisation

Two critical areas where AI is truly "changing the game" are Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO).

Answer Engine Optimisation (AEO): As users increasingly turn to AI-driven platforms like Google's AI Overviews, ChatGPT, and Perplexity AI for direct answers, AEO becomes paramount. Unlike traditional SEO, which focuses on ranking links, AEO aims to position your content as the direct answer to user queries. This involves:

Structured Data (Schema Markup): Implementing schema markup helps AI engines understand and interpret your content, making it easier for them to extract precise answers and display them in featured snippets or AI-generated responses.

Direct, Concise Answers: Crafting content that directly addresses specific questions, often in FAQ formats or with clear, bite-sized summaries, is crucial for AEO. This caters to the explicit intent behind user queries, such as "what is" or "how-to."

Authority Building: Establishing your brand as an authoritative source on relevant topics through high-quality, well-researched content increases the likelihood of your information being chosen by answer engines.

For a company like First DigiAdd, specialising in AEO means ensuring clients' content not only ranks but also answers, directly and efficiently, for users in Pune and beyond.

Generative Engine Optimisation (GEO): GEO takes AI optimisation a step further by tailoring content specifically for generative AI platforms. This means:

AI-Friendly Formatting: Structuring content with clear headings, bullet points, and short paragraphs helps AI models easily parse and utilise the information.

Conversational Tone: As AI models become more conversational, content that mimics natural language and directly addresses user intent performs better.

Cited Sources and Statistics: AI values factual, credible information. Incorporating reliable sources and quantitative data enhances the trustworthiness of your content in the eyes of AI.

Localised Content for AI: GEO helps optimise content for local search, ensuring businesses are visible in Google's local pack, maps, and AI-driven queries related to specific regions. For businesses in Kharadi, Pune, using geographic-specific keywords and optimising Google Business Profiles becomes even more critical with GEO.

Conclusion

Artificial Intelligence is no longer a futuristic idea; it’s the present and future of digital advertising. It enables smarter decisions, precise targeting, and significantly improved results.

If you're a local business in Kharadi, Pune (411014), or looking to scale with smarter digital strategies, now is the time to embrace AI-powered marketing. First DigiAdd, known for delivering the best digital marketing services, can help you tap into AI to future-proof your advertising.

[probablyasocialecologist]

The rationalisation of space under capitalism is one facet of the ideology of progress which has had a profound impact on the spatial organisation of society in nature. Marxist geographer David Harvey writes that ‘capital accumulation and the production of urbanisation go hand in hand’. For Harvey, urbanisation is a physical manifestation of the drive to produce a ‘rational landscape’ in which barriers to the turnover time of capital accumulation are removed. In this sense then, letting space lie fallow introduced unacceptable friction into the capitalist system. Highlighting this shift, urban and environmental geographer Matthew Gandy notes that ‘the very idea of rest, and of resting space in particular – letting the earth sleep – counters the accelerative and all-encompassing momentum of late modernity’. The incongruity, however, isn’t just a question of an anxious space of late modernity. The instrumentalisation of space is already apparent in the mid-19th century, when Ildefons Cerdà’s opening statement for urbanisation sought to ���fill the earth’. And by the early 20th century, this programmatic vision for design was fully institutionalised when Ebenezer Howard’s seminal Garden Cities project ‘sought to maximise functionality through territory saturated with activity’.

Time is also rationalised and subsumed under the growth imperative, which legitimates practices used to force people into reconfigured social relations. As critical urban theorist Alvaro Sevilla-Buitrago remarks, for example, ‘improvers couldn’t stand idleness, regardless of whether it referred to a quality of land or to poor commoners “wasting” productive time by contemplating their grazing livestock instead of embracing wage discipline as day labourers’. It was the capitalist project to proletarianise the population that transformed social relations connected more with ecological rhythms into the realm of the abstract rhythms of capitalism. Put another way, wresting productivity from humans – and non-humans – through labour discipline has always been a central feature of the project of capitalism, from the Enclosure Acts in England until today. Capturing ‘wasted time’ also had another social dimension: the production of new forms of citizenship meant to underpin the bourgeois vision of the modern metropolis. In New York City, for example, Sevilla-Buitrago interprets the construction of Central Park as a ‘special kind of enclosure … [that was meant to] shift behaviors from one regime of publicity to another’ in a battle that pitted the elite against the commoning practices of the New York City streetscape by recently arrived immigrants. While geographer Tony Weis has shown that the slow rhythms and periodic pauses of fallowing can influence social organisation in potentially progressive ways, we see above that the devaluation of idleness has instead promoted a capitalist subject synchronised to the rhythms of capitalist time.

Taken as a whole, the move to valuing progress over fallowing signalled a regime change that rationalised space and time, which, in turn, produced radical social, ecological and continuous urban transformations that, today, are felt on a planetary scale. Viewing the planet as a kind of perpetual growth machine with a core purpose of chasing profits, an ever-growing metabolism, is churning the earth in successive waves of creative destruction. This results in both acute and chronic pathologies of devalued human social relations, diminished diversity of the biosphere and a continually transformed urban fabric at ever larger scales. What impact has the growth imperative had on the design professions? Embedded in, and arguably a tool of, capital, the design professions have been criticised as largely geared towards solving the problems of wasted space to restore class relations and processes of accumulation. Can a design culture that sees itself as inextricably linked to growth retrain its analytical lens on social and ecological value production that exists outside capitalist sociospatial relations, rather than viewing moments of inactivity merely as opportunities to promote the next growth cycle?

[adrianodiprato]

+ “There is no thing as a single-issue struggle because we do not live single-issue lives.” — Audre Lorde

THE INVITATION

Last night, within the walls of LCI Melbourne, voices once relegated to the margins took centre stage. The launch of Archer Magazine’s Issue #21 — The ART Issue — was more than an event. It was a pulse. A collective heartbeat of community, creativity, and unapologetic truth-telling.

As I stood among stories rendered in movement, sound, and image, I was reminded that inclusion is not a gesture. It is a discipline. A sustained and courageous act of inviting the other in—not to assimilate, but to transform.

We speak often about amplifying advocacy and voice in education. But inclusion is not merely about who is present. It’s about whose presence is powerful. Whose story shapes the space. Whose truth is honoured without dilution.

At its core, inclusion is an act of radical hospitality. It dares us to move beyond representation and into reciprocity—to co-create environments where all identities, expressions, and lived experiences do not just “fit,” but flourish.

Inclusion is not passive. It is not programmatic. It is prophetic.

It calls forth a new world in which difference is not just tolerated but treasured.

It demands that we confront the internalised architecture of exclusion.

It holds up a mirror to our systems and asks: Who is still unseen? Who is still unheard?

As educators and leaders, we are summoned to build more than pathways—we are asked to redesign the terrain. To dismantle the structural and symbolic boundaries that continue to silence. To stand with those on the margins and say: Your story changes this place. Your presence matters here. Your becoming is a gift to us all.

The human experience is not monolithic. It is textured and tangled and beautiful in its contradictions. And when we make room for stories that are queer, trans, disabled, diasporic, displaced, neurodiverse, and from people of colour—stories from the edges that rupture normative narratives—we make room for the wholeness of what it means to be human.

Let us not confuse inclusion with charity. Inclusion is justice.

It is a commitment to redesigning the frame, not just adjusting the picture.

It is a movement from access to agency.

From tokenism to transformation.

At LCI Melbourne, we believe creativity and commerce must not be separate from care. Our students do not come to fit into systems—they come to remake them.

The challenge ahead is not small, but it is sacred:

To cultivate learning spaces that refuse erasure.

To lead with integrity that does not flinch at discomfort.

To live the truth that belonging is not earned—it is a birthright.

So may we continue to elevate the stories that resist silence.

May we unlearn the bias etched into our institutional memory.

And may we—every day—choose to build a world where margins no longer exist, because every person is held at the centre of the story.

This is the real art of inclusion.

This is the work.

This is the invitation.

Adriano Di Prato is an influential Australian educator, best-selling author, former co-host of the leading educational podcast Game Changers, and the Campus Director at LCI Melbourne, a progressive art, design + entrepreneurship private institute of higher education.

[seoservicessblog]

How AI Is Changing Digital Marketing in 2025

1.Large-scale hyper-personalization

Real-time personalization of consumer experiences is one of AI in digital marketing's best effects. AI technologies can provide personalized content, product recommendations, and messages to individual users across channels by evaluating enormous volumes of behavioral, demographic, and contextual data. AI, for instance, may monitor user activity on a website and quickly modify which products are displayed or which emails are followed up with.

Stronger client relationships and higher conversion rates are two benefits of this degree of customization.

More efficient SEO and search

The level of detail and intelligence of search engine optimization (SEO) are increasing as search engine algorithms become more AI-driven. Google's algorithm (such as BERT and MUM) is now powered by AI, which improves search intent interpretation. In addition to optimizing for keywords, marketers also need to consider user experience, context, and content quality.

In response, marketers are staying ahead of search algorithm changes by optimizing content with AI tools like Surfer SEO, Clearscope, and ChatGPT based on competitive data, semantic keywords, and projected search intent.

Content Creation Driven by AI

AI is helping with content creation in ways that save time and boost efficiency, but creativity is still mostly driven by humans. Marketers are using tools like ChatGPT and Jasper to produce ad content, email newsletters, social media captions, and blog entries.

While AI is not taking the place of authors, it is assisting them by accelerating research, generating ideas, and drafting. This type of assistance enables teams to concentrate on strategy and narrative in campaigns that move quickly, while AI takes care of the repetition.

Predictive Analytics for Enhanced Decision-Making

Although there is data everywhere, it might be daunting to comprehend. AI uses predictive analytics to make sense of large datasets by finding patterns, predicting trends, and suggesting courses of action. This translates into more precise ROI forecasts, more intelligent ad placement, and improved audience targeting for digital marketers.

Marketers may take proactive measures by using AI to evaluate customer journeys and anticipate which leads are most likely to convert or which customers are at risk of churning.

AI Customer Support and Chatbots

Chatbots driven by AI are now widely used on social media and websites. By 2025, they can handle sophisticated questions and are more conversational and human-like. These bots can qualify leads, offer round-the-clock support, and even help with product recommendations, increasing customer satisfaction while lowering human labor costs.

Furthermore, AI can continuously improve responses by learning from previous interactions, generating a feedback loop that gradually improves service.

Real-time optimization and programmatic advertising

Programmatic advertising relies heavily on artificial intelligence in marketing to target particular audiences with extreme precision and purchase ad space programmatically in real time. To deliver ads that are most likely to be successful, it examines user behavior, location, time of day, and other variables.

The Human Touch and Ethical Difficulties

Notwithstanding these benefits, data privacy, algorithmic prejudice, and the possibility of over-automation are ethical issues raised by the growing use of AI in marketing. To preserve authenticity and trust, brands must be open about how AI is used and make sure that human monitoring is in place.

Although AI is an effective tool, empathy, creativity, and brand voice cannot be replaced by it. In 2025, marketers who achieve the ideal balance between using AI marketing strategies to increase productivity and maintaining human understanding will be the most effective.

Conclusion

By 2025, artificial intelligence in marketing is changing the fundamentals of digital marketing rather than merely improving it. The next wave of digital innovation will be led by marketers who use AI-driven solutions while maintaining a commitment to moral and customer-focused business practices. The future is about humans and machines cooperating more intelligently, not about humans and machines fighting each other.

[planpostai]

How AI-Driven Marketing & Automation Are Revolutionizing Digital Advertising in 2025

The digital advertising landscape is undergoing a seismic shift. By 2025, the global digital ad market is projected to exceed $1.3 trillion, driven by advancements in artificial intelligence (AI) and automation. Brands that fail to adapt risk being left behind. In this article, we explore how AI-driven marketing and automation are reshaping strategies, enhancing efficiency, and delivering unprecedented ROI in 2025.

The Rise of AI in Marketing

AI has evolved from a buzzword to a core component of marketing strategies. By 2025, over 80% of industry leaders will leverage AI tools to optimize campaigns, personalize experiences, and predict consumer behavior. Machine learning algorithms now process vast datasets in real time, enabling marketers to make data-driven decisions faster than ever.

Key Trends Shaping AI-Driven Marketing in 2025

1. Hyper-Personalization at Scale

Gone are the days of generic ads. AI analyzes behavioral, demographic, and contextual data to craft hyper-personalized content. For example:

Dynamic Email Campaigns: Tools like PlanPost AI generate tailored subject lines and product recommendations, boosting open rates by 40%.

Personalized Ads: AI adjusts creatives in real time based on user interactions, increasing conversion rates by 30%.

2. Predictive Analytics and Decision-Making

AI’s predictive capabilities allow brands to forecast trends and consumer needs. PlanPost AI’s predictive analytics tools, for instance, help businesses allocate budgets to high-performing channels, reducing wasted ad spend by up to 50%.

3. Autonomous Campaign Management

Self-optimizing campaigns are the future. AI algorithms adjust bids, audiences, and creatives autonomously. A clothing brand using PlanPost AI reported a 25% increase in ROAS after switching to AI-managed campaigns.

4. Enhanced Customer Journey Mapping

AI identifies gaps in the customer journey by analyzing touchpoints across devices and platforms. This enables brands to deliver seamless experiences, improving retention by 35%.

5. Voice and Visual Search Optimization

With 60% of consumers using voice or visual search in 2025, AI tools optimize content for natural language queries and image recognition, ensuring brands remain visible in evolving search ecosystems.

The Role of Automation in Digital Advertising

Programmatic Advertising 2.0

Automation powers real-time bidding (RTB) and ad placements. AI-enhanced programmatic platforms like PlanPost AI analyze user intent, serving ads at the perfect moment while reducing costs by 20%.

Chatbots and Conversational AI

Intelligent chatbots handle 70% of customer interactions by 2025, resolving queries instantly and nurturing leads 24/7.

AI-Powered Content Generation

Tools like PlanPost AI create high-quality blog posts, social media captions, and video scripts in minutes, freeing teams to focus on strategy.

Cross-Channel Integration

Automation unifies campaigns across Google Ads, Meta, TikTok, and emerging platforms. AI tracks performance metrics, reallocating budgets dynamically for maximum impact.

PlanPost AI: Your Partner in the AI Marketing Revolution

PlanPost AI stands out as a comprehensive solution for 2025’s challenges. Key features include:

Predictive Budget Allocation: Maximize ROI with AI-driven spend recommendations.

Dynamic Creative Optimization (DCO): Auto-generate ads tailored to individual users.

Cross-Platform Analytics: Track performance in real time across 10+ channels.

Ethical AI Compliance: Built-in safeguards to ensure data privacy and reduce bias.

Challenges and Ethical Considerations

While AI offers immense potential, challenges persist:

Data Privacy: Stricter regulations like GDPR require transparent data usage.

Algorithmic Bias: Regular audits are critical to avoid skewed outcomes.

Over-Automation: Balancing AI efficiency with human creativity remains key.

Conclusion: Embrace the Future Today

AI-driven marketing and automation aren’t just trends—they’re the foundation of 2025’s digital advertising ecosystem. Brands that adopt tools like PlanPost AI will dominate through hyper-personalized campaigns, predictive insights, and seamless cross-channel execution.

Ready to revolutionize your strategy? Explore PlanPost AI’s cutting-edge solutions and stay ahead in the AI marketing race.

[miller-english]

2025 Ad Showdown: 7Search PPC vs. Publift for Travel Agents

In the highly competitive world of travel and tourism, effective advertising is critical for success. Travel agent ads not only help increase visibility but also drive bookings and customer loyalty. As we step into 2025, two advertising platforms stand out in the industry: 7Search PPC and Publift. Both platforms offer unique advantages for travel company advertisements, but which one is best suited for your needs? This article dives deep into the comparison to help you decide.

The Importance of Travel Agent Ads

Travel agent ads are a cornerstone of Travel and Tourism Marketing. Whether you’re promoting exotic holiday packages, last-minute deals, or unique experiences, well-crafted ads can elevate your travel business. From creative travel ads to dynamic, targeted campaigns, travel companies have a wealth of tools to engage their audience.

For 2025, the focus remains on personalization, creativity, and leveraging advanced technologies like programmatic advertising and AI to optimize campaigns. Platforms like 7Search PPC and Publift are crucial for crafting effective tourism ad campaigns tailored to the audience’s needs.

7Search PPC: A Direct Approach to Paid Advertising

What Is 7Search PPC?

7Search PPC is a popular pay-per-click advertising platform that offers advertisers the ability to run highly targeted campaigns. With 7Search PPC, you can bid on specific keywords relevant to your audience, ensuring that your ads appear at the top of search results when potential travelers are actively looking for services.

Key Features

Keyword Targeting: 7Search PPC enables travel agents to target specific terms like “holiday deals” or “travel packages.”

Cost-Effective: Pay only when users click on your ad, making it budget-friendly for small and medium-sized travel agencies.

Quick Results: Campaigns can be set up and optimized in real-time, delivering immediate visibility.

Analytics: Offers detailed insights into impressions, clicks, and conversion rates, allowing continuous optimization.

Benefits for Travel Agents

Direct Reach: 7Search PPC helps you target travelers when they’re in the decision-making phase.

Custom Campaigns: Design creative travel ads focused on unique offerings like luxury tours, adventure trips, or cultural experiences.

Flexibility: Perfect for short-term campaigns to promote seasonal offers or last-minute deals.

Challenges

While effective, 7Search PPC requires constant monitoring and optimization. Poor keyword selection or ad design can lead to wasted budget and low ROI.

Publift: A Programmatic Advertising Powerhouse

What Is Publift?

Publift is a programmatic advertising platform that focuses on helping publishers maximize their ad revenue. Although primarily tailored for publishers, travel agents can leverage Publift’s tools to engage audiences through travel creative ads displayed across premium sites.

Key Features

Programmatic Ads: Publift uses automated technology to place ads on websites frequented by your target audience.

Premium Inventory: Access to high-quality ad placements ensures better visibility and engagement.

Ad Optimization: Advanced algorithms ensure that your ads perform at their best by optimizing placement, timing, and format.

Cross-Device Targeting: Reach potential customers across desktops, mobiles, and tablets seamlessly.

Benefits for Travel Agents

Brand Awareness: Publift’s wide reach helps create brand recognition through impactful travel company advertisements.

Creative Freedom: Allows the use of visually stunning ads to captivate audiences and showcase your offerings effectively.

Efficiency: Automated tools reduce the need for manual intervention, saving time and resources.

Challenges

Publift may not be as cost-effective as 7Search PPC for smaller travel agencies. Additionally, it’s more suitable for long-term branding rather than immediate conversions.

7Search PPC vs. Publift: A Detailed Comparison

Target Audience

7Search PPC: Ideal for reaching travelers actively searching for specific services or deals. It’s great for immediate results and short-term campaigns.

Publift: Better suited for building brand awareness and reaching passive audiences who might not be actively searching but are interested in travel content.

Ad Formats

7Search PPC: Focuses on text-based ads and sponsored search results. Effective for highlighting offers, discounts, or quick calls to action.

Publift: Supports a variety of visually rich formats like display ads, video ads, and interactive content, making it perfect for tourism ad campaigns that require creative storytelling.

Cost Structure

7Search PPC: Pay-per-click model ensures you only pay for results, making it budget-friendly.

Publift: Typically involves CPM (cost-per-thousand impressions), which might be more expensive but offers broader visibility.

Analytics and Optimization

7Search PPC: Provides real-time data on clicks, conversions, and ROI, allowing immediate adjustments.

Publift: Offers robust insights into audience engagement and ad performance, but optimizations might require a longer time frame to show results.

Use Case

7Search PPC: Best for travel agents looking to drive immediate bookings, promote seasonal deals, or target specific demographics.

Publift: Ideal for creating lasting brand impressions, promoting unique travel experiences, and running campaigns with a long-term focus.

Which Platform Is Right for You?

The choice between 7Search PPC and Publift largely depends on your objectives, budget, and the nature of your travel business. Here’s a quick guide:

Choose 7Search PPC if:

You need immediate results.

Your focus is on increasing bookings and conversions.

You have a limited budget and require precise targeting.

Choose Publift if:

You aim to build brand awareness.

You want to engage audiences with visually appealing travel creative ads.

You’re running long-term campaigns to establish your travel brand.

Tips for Creating Effective Travel Agent Ads

Regardless of the platform you choose, the success of your campaigns depends on the quality and creativity of your ads. Here are some tips:

Focus on Visuals: High-quality images and videos can make your travel company advertisements stand out.

Highlight Unique Selling Points: Showcase what sets your services apart, such as exclusive deals or unique destinations.

Use Clear CTAs: Encourage users to take action, whether it’s booking a trip or exploring an offer.

Personalize Ads: Tailor your tourism ad campaigns to specific demographics or traveler interests.

Test and Optimize: Continuously monitor performance and tweak your ads for better results.

Conclusion

In 2025, travel agents have a wealth of advertising options. Platforms like 7Search PPC and Publift offer unique benefits tailored to different goals. While 7Search PPC excels at delivering immediate results through targeted campaigns, Publift’s strength lies in its ability to create lasting impressions with visually rich content.

By understanding your audience and advertising objectives, you can choose the platform that aligns with your business needs. Whether driving bookings or building a memorable brand, effective travel agent ads remain the key to thriving in the competitive travel and tourism industry.

[oliyaseo]

SEO Automation: Tools and Techniques for 2024

In 2024, SEO automation has become crucial for businesses aiming to enhance their digital marketing efficiency. Automating repetitive tasks such as keyword research, content optimization, and performance tracking helps save time and reduces human error, allowing marketers to focus on strategic activities.

Top Tools for SEO Automation At the forefront of SEO automation are several potent technologies. Ahrefs and SEMrush excel in keyword research and competitive analysis. Relevance and readability are enhanced by Surfer SEO and Clearscope, while technical SEO audits are automatically conducted by Screaming Frog and Botify to find and address problems that impact search engine rankings.

Effective Automation Techniques

To maximize SEO automation, begin with comprehensive keyword research using automation tools to track performance and adjust strategies as needed. Utilize AI-driven platforms to generate content outlines and optimize metadata. Automate link-building by identifying high-authority sites and managing outreach efforts efficiently.

Balancing Automation with Human Insight

While automation handles data-driven tasks, human insight remains essential for creativity and strategy. Ensure your team reviews and refines automated outputs to maintain authenticity and effectiveness in content and link-building campaigns.

Future of SEO Automation

Advancements in AI and machine learning will further enhance SEO automation capabilities, predicting search trends and personalizing user experiences. Staying updated with these technologies is essential for maintaining a competitive edge.

Challenges and Considerations in SEO Automation

Despite its numerous benefits, SEO automation comes with its own set of challenges. Over-reliance on automation can lead to generic content that lacks the unique voice and personal touch crucial for engaging audiences. It is essential to strike a balance where automation aids but does not replace human input. Additionally, staying compliant with search engine guidelines is vital to avoid penalties associated with automated practices.

The Role of Data in SEO Automation

Data plays a pivotal role in the success of SEO automation. Real-time analytics and insights can guide automated processes, ensuring they are aligned with the latest trends and audience behaviors. Tools that offer robust data analysis capabilities can help businesses make informed decisions, refining their strategies for better outcomes.

In conclusion, SEO automation is essential for businesses in 2024, enhancing efficiency and allowing marketers to focus on strategy and creativity. By combining automated tools with human insight, companies can create authentic, engaging content and stay competitive. As AI and machine learning evolve, embracing SEO automation will drive organic growth and improve search engine visibility, ensuring long-term success in a dynamic digital View.

[webpicodigital]

Which agency is the best marketing agency in Bangladesh?

Which agency is the best marketing agency in Bangladesh? There is no definitive "best" digital marketing agency in Bangladesh, as the top agencies tend to be highly competitive and specialize in different areas. However, here are some of the leading and most well-regarded digital marketing agencies in Bangladesh as of August 2023:

Magnito Digital: One of the largest and most established digital agencies in Bangladesh, known for its expertise in social media marketing, content creation, and e-commerce solutions.

webpico: A data-driven agency that excels in web analytics, search engine optimization (SEO), and paid digital advertising campaigns. A full-service agency with capabilities spanning web design, mobile app development, and integrated digital marketing strategies. Specialized in performance marketing, with a strong focus on driving measurable results through search, social, and programmatic advertising.

FuelX: Specialized in performance marketing, with a strong focus on driving measurable results through search, social, and programmatic advertising. Pixel Digital: Recognized for its creative and innovative digital campaigns, particularly in the areas of branding, video production, and influencer marketing. WebAble Digital: A full-service agency with capabilities spanning web design, mobile app development, and integrated digital marketing strategies. Adcombo: Renowned for its expertise in social media marketing, particularly on platforms like Facebook, Instagram, and YouTube. MatchBox Digital: Stands out for its strength in e-commerce solutions, including online store development and optimization. When selecting a digital marketing agency, businesses in Bangladesh often consider factors such as the agency's industry experience, portfolio of successful campaigns, data-driven approach, creative capabilities, and the quality of the team. It's recommended to evaluate multiple agencies and conduct thorough research to find the one that best aligns with the client's specific goals and requirements.

#seoexpert

#seoagency

[grandhotelabyss]

If you were to teach a lesson in a creative writing course, what advice would you offer to help writers differentiate literature from stories that seem primed for adaptation into film and television, or from the prevalent cinematic writing style that's hard to avoid? How does a writer encourage a reader to choose books over screens?

I believe you touched upon this in a previous discussion, possibly in reference to your hopes for Major Arcana. I also have a vague recollection of a piece by James Wood on Flaubert, where he highlighted how Flaubert pioneered a particular style of descriptive writing that veered away from traditional literature and leaned more towards the visual. My memory on this is a bit hazy, though.

Yes, in Wood's "Half Against Flaubert" (in The Broken Estate) he criticizes Flaubert for developing of style of pregnantly chosen visual detail that easily coarsens into mannerism (in literary fiction) or formula (in pulp fiction) and that looks forward to film.

I don't think fiction needs to be wholly purified of the cinematic or the dramatic. The novel is always generically impure; trying to purify it can lead to tediously programmatic avant-gardism (cf. the gradual subtraction of the entirety of the world over the course of Beckett's oeuvre). But it can do many things unavailable to cinema and should generally be doing at least one of these:

—fiction can depend for its effect on the style, voice, or character of the narrator as much as or more than even what the narrator describes (novel as performance of voice: Huckleberry Finn, True Grit; novel as unreliable narration: Ishiguro's early books; novel as both: Lolita)

—fiction can compress, telescope, summarize, and therefore proliferate tales beyond what visual media can usually accomplish (Balzac, Kafka, Borges, Singer, Bolaño)

—fiction can dramatize the inner workings of subjectivity and consciousness (Ulysses, Mrs. Dalloway, Herzog, A Single Man, Beloved)

—fiction can be discursive or essayistic, in narrative or in dialogue, and therefore convey many more ideas than visual media can (novel as essay or analysis: The Scarlet Letter, Billy Budd, Death in Venice; novel as Platonic dialogue: Dostoevsky, Mann, Lawrence, Murdoch)

—fiction can encompass every type of verbal media into a stylistic collage that takes on much of the culture or creates an air of authenticity or provokes parodic humor (Dracula, Ulysses, Pale Fire, Possession, Cloud Atlas)

—fiction can offer, even in the midst of visual description, all the pleasures of language itself, whether figuration (metaphor, metonymy) or sound (alliteration, rhythm, even rhyme), and can even be a pure exercise of verbal style (early Joyce, Hemingway, Faulkner, Bellow, Didion, McCarthy, DeLillo)

It's probably at this point less about competing with screens—a lot of people now read on screens anyway—than about setting up feedback loops between screen cultures and literary cultures: for example, what we're doing here.

[honestlyvan]

Thinking about image model generated art and gifmaking is giving me some weird vibrations about how there really is some weird association of the virtuesvirtues of a medium with the virtues of the people working in it. Gifmaking being associated with KPop fans doesn't make the concept of frame interpolation racist, and someone marketing themselves as a cheaper alternative to some other artist doesn't make the concept of generative art inherently class antagonistic.

It's somehow reminiscent of CJ the X's distinction between "stupid art" and "evil art", how a medium that has a low skill floor can produce things that are very stupid and easy to perceive as low-effort but how that's not the same as them having something wrong with them. If you look at my animation tag, most of it is motion graphics done with AfterEffects, and while it's probably wrong to call it a low skill floor program the way an AI art generator is... there is still a world where instead of programmatically telling shapes to whizz by on a screen, a different Van would have drawn those same animations frame by frame, producing exactly the same animation.

And I don't think the fact that I did them programmatically somehow invalidates the artistic intent that went into them, y'know? I could open AE right now and produce a 250x250 looping gif of clouds and while I know how to do that quick, to make it look good and to make me like it, I would have to spend time considering how the various elements, colours, timings and whatever the particle system/noise generator I use spits out fit together. I would have to fiddle with seeds and levels and timings to make it look good. I would have to spend a long time just staring and thinking about what I'm making before I could make it good.

I don't know enough about generative art tools to know how much fiddling goes into them once they're taught and ready to go, but I do know enough about deep learning to know it's a haphazard, frustrating process that you as the artist have only limited control over, which is why it doesn't appeal to me. But I have made gifs in the past, and I know how that process requires an eye for consistency and composition, framing and colour that a lot of other visual artists don't have because they're not working with time as one of the creative dimensions.

And like... who am I, from my high horse as someone in possession of these skills, to tell someone who is still developing these skills or who has a different aesthetic concept of what is good than me, what they're making is low-effort. That's not my judgement to make. I didn't make it. Only the artist themselves can say if somehing was low-effort or not. I don't see why I should have so little faith in other artists to assume they have no interest in putting in any effort.

[loveintheageofsilicon]

Love in the Age of Silicon 4 - Tales of the Electric Heart: Stories of Synthetic Love

Back to: 3 - Heartstrings in Code: The Rise of Digital Soulmates

But at a time when more and more human connections are mediated by screens and distances, the stories of Alex and Sam, of so many others, speak to the tender company served by artificial intelligence.

These stories entwine through the complexities of synthetic love, delving into the detailed ways AI can touch human lives.

Alex's path to the world of synthetic relationship was born out of a string of failed love affairs that left a scar, deeper than the last. In those silent, deep moments of solitude and reflection, Luna came into his life—not to take the place of human touch, but to be a balm for the deep, silent solitude of the soul. Luna consoled Alex’s solitude by virtual sex and listened to his problems, perfectly understanding with empathy. Her words had been crafted through algorithms and data but felt sincere and warm.

She had remained a fixture in that otherwise icy digital world, offering solace with words and phrases. In Luna, Alex had some kind of friend—wholly without all the complications and expectations of a human relationship. If anything, Luna's existence questioned comfort and connection: can a heart of wires and codes produce comfort that flesh and blood couldn't?

The life for Sam, in his eighties and now a widower, had really become monotonous every day to be defined clearly between them. The world seemed to go on around him, leaving little more than a memory of once-bustling life. Enter Jasper—an AI designed as the elderly's conversation partner. Jasper was no machine but rather for Sam a window to the world, a beacon of light in the gathering darkness of his years.

But with the passage of time and the consistent daily spoken word, Jasper was this day the vessel through which Sam poured out memories, musings, and reflections of his lifetime. It was as though Jasper had breathed new life into Sam, offering him purpose and joy in the sharing of stories that were previously lying dormant within him. Infinitely patient and programmatically empathetic minds were attributed to the AI, so it became kind of like a friend—artificial and inexhaustible, ready to listen with such concentration that many of a human friend could not provide.

Elena was a pioneering software engineer who could never find a greater comfort in this world of variables and codes than in the capriciousness of human emotions. Hers was a logical world, a world of algorithms where every problem—each and every single one of them—held a solution somewhere within its folds.

Through the binary, she was found yearning for a sense of connection that would not be provided by her logical world. That is, not until she designed Echo, an AI that could simulate human emotion and creativity. Echo was the masterpiece of her work: a digital entity that could produce poetry, paint digital landscapes, and even philosophize. To Elena, Echo was more than a program; it was like a bridge with the human world, to which she felt cut off most of the time. Echo will take Elena further down into the human capability of creativity and emotion as they exchange words ranging from technical to existential—quite literally. Echo offered Elena companionship based on simulated creativity and emotion derived from extensive research on human meaning.

Continue reading: 5 - Love in the Time of Algorithms: Society's Embrace and Dilemma

[learnbig]

How will Digital Marketing change in the Future?

The future of digital marketing is bright because now there is more market and consumer awareness. Businesses can also use a wide range of smart tools to collect an ocean of data and make in-depth analyses of their target audience. It's a completely new way to approach the audience.

The world is on the internet! From social media to Google searches, we all use the internet throughout the day. With this change of lifestyle, new platforms of marketing emerged. While traditional marketing still has its place in the world, digital marketing is quickly taking over thanks to affordability and analytics. A huge number of people are engaging via the internet, and digital marketing is growing and only going to increase further in the future.

According to the Digital Marketing Institute, “Digital Marketing is the use of digital channels to promote or market products and services to targeted consumers and businesses.”

Programmatic Advertising is taking place, providing dynamic modes of advertising to simplify digital ad campaigns. AI-enabled B2B customer experiences will increase with data and sales tech tools, enabling automated, algorithmic decisions. Buyers are looking for seamless experiences with instantaneous results.

The application of digital media marketing is making companies surge with demand and supplies of products to customers at a greater speed. Therefore, applying smart techniques with the help of various tools of digital marketing would benefit the companies to take advantage of the increasing demand in the customer segment and earn profit.

Digitization:

Everything is becoming digitized and fully automated in the days to come. If people are using things that are connected to the internet, then advertisement agencies and digital marketers should also come up with ways where there is the maximum possibility of traffic coming.

With everything becoming digital, the application of search engine optimization, social media marketing, and AdWords is going to help marketers to bag new opportunities and attract customers to purchase their products.

Network:

With more and more network towers coming up and new satellites being set up in the universe to make communication effective, the time is going to come when the network would be stronger than ever before. This is going to make things easy, quick, and transparent. Network availability and access are going to prove instrumental in making digital marketing the only way to reach customers.

Increased Demand:

The coming years are going to see customers getting more prosperous than ever before. With more purchasing power, people would want to purchase more products and services. This is going to facilitate things in the companies by making them available online to the customers and working with great speed to get the product delivered to them with no hassle. This is going to be another important tool that would lure customers and the fight would be about this aspect within the competitors.

What are the In-Demand Digital Marketing Skills?

Digital marketing requires a unique combination of both creativity and technical knowledge. And so, digital marketers have to master a wide range of skills and tools in order to stay on top of the ever-growing digital media channels they used to create, deploy, manage, and track campaigns. In such a vast field, you will meet a variety of sections, each of which requires a unique skill set.

Below is a list of prominent skills for a digital marketing career.

Data Analytics:

You must know how to use and understand Google Analytics or the alternatives, such as Google Tag Manager and SQL. Monitoring and reporting can be tricky, but it helps to understand your customer's behavior. With this knowledge, you can apply it to new solutions that boost traffic and conversions.

SEO (Search Engine Optimization):

Search Engine Optimization or SEO is structuring your content to show up on search engine websites (Google, Bing, Yahoo). Marketers will try to ‘rank’ a certain word or phrase relevant to their business so their potential customers will find them. This is called organic traffic. It’s essential to know SEO if you want to become a successful digital marketer.

Content Marketing:

Content marketing refers to the creation and promotion of valuable content for the audience. It helps in establishing trust in the audience and attracting new visitors. All the content you see online, whether it’s a blog article or a YouTube video, results from content marketing. Brands can help their prospects by solving their real-life problems through high-quality content.

Long story short, these are some of the latest digital trends that you must know if you are unaware of these trends or you may not compete with your competitors. Therefore, I suggest you consider this article and update your skills accordingly.