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Search has seen an enormous upheaval recently in terms of tools, intent, and expected experience, with social platforms like TikTok forging new consumer routines.

“Search has fundamentally transformed from this old model of ‘I have a question, I need an answer,’ to really a place for stories and perspective,” said Rema Vasan, TikTok’s head of North America business marketing, at a panel during Advertising Week New York. “This isn’t just a change in behaviour, this is a fundamental shift.”

According to TikTok’s data, Vasan said the top three reasons people search on the platform are to explore personal interests, educate themselves, and entertain themselves. And for younger audiences, the shift is even more pronounced.

Here’s how experts are viewing changing consumer habits when it comes to search and product discovery.

From answers to inspiration

Cypress Villaflores, vice president of social at Publicis, described what she sees as driving the change during the panel.

“People are really going to a platform like TikTok because we want inspiration,” she said. “We want information. And when you go into TikTok search, it’s giving you all of that and then that added layer of in-the-moment engagement.”

For US shoppers TikTok is the most useful social platform (28.4%) for researching and evaluating new brands/products, according to June 2025 data from EMARKETER.

“You’re not only getting an influencer’s perspective, but you’re also really getting ordinary people,” said Villaflores. “And sometimes that’s what you need to finish your search journey.”

Vasan noted that 86% of Gen Zers now search on TikTok instead of traditional search engines.

“Consumers’ intentions have changed,” she said. “They’re not just looking for quick answers. They’re looking to explore, compare, and really shape their perspectives.”

The middle-funnel battleground

In partnership with WARC, TikTok mapped four stages of search: Understanding, exploring, evaluating, and buying.

“TikTok plays a very strong role in the exploring and evaluating phases,” Vasan said. “Eighty-four percent of searches on TikTok happen in that exploration phase, which is 1.2 times higher than on traditional search platforms.”

Villaflores said that journey often leads directly to purchase.

“It really helps you make the purchase and create things that are more meaningful,” she said. “By the time I hit that buy button, I’m very confident in the thing that I’m purchasing.”

Keywords, but smarter

While culture drives discovery, precision still matters if TikTok is to remain vital to business’ strategies. Some 64% of worldwide B2B and B2C marketing leaders say TikTok drives more business impact than other social media platforms, according to a June 2025 survey from Sprout Social.

“Keyword strategy is so important to any search campaign,” Vasan said. TikTok’s new Keyword Planner, now in open beta, helps advertisers identify high-value terms and track search trends before committing spend.

Villaflores noted that traditional tactics still apply. “You can do branded versus non-branded, exact versus broad match, and a lot of those strategies are transferable to TikTok.”

For marketers still viewing TikTok as “just social,” Villaflores offered a challenge.

“Search has changed overall as a behaviour. It’s not anything anyone can truly ignore,” she said. “Be open to testing and integrating it as part of your larger strategies, because human behaviour is always continuously evolving.”

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Sourced from EM Marketer

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How OpenAI’s new shopping feature will fundamentally reshape customer experience expectations in ecommerce and retail.

The Gist

  • Instant Checkout transforms ChatGPT into a commerce platformUsers can now buy directly from Etsy and over one million Shopify merchants without leaving a conversation—collapsing the traditional ecommerce journey into a chat-to-checkout experience.
  • Frictionless buying raises new CX expectationsMerchants retain order control, but customers will expect conversational ease across all post-purchase support channels.
  • Agentic commerce reshapes trust and transparencyAs AI gains more autonomy in purchasing, CX leaders must redefine safeguards, metrics, and relationship ownership in a world where experience becomes inseparable from conversation.

Since its November 2022 launch, ChatGPT has become synonymous with general AI capabilities. Now OpenAI is extending its influence toward a new frontier: ecommerce.

OpenAI has officially transformed ChatGPT from a discovery tool into a complete commerce platform with the launch of Instant Checkout, powered by the Agentic Commerce Protocol developed in partnership with Stripe. Starting with U.S. Etsy sellers and expanding soon to over one million Shopify merchants, including Glossier, SKIMS, Spanx, and Vuori, this development represents more than just another checkout option.

It is a fundamental reimagining of the customer experience journey that could have been implications on the customer experience industry.

Customer experience professionals in e-commerce and retail recognize OpenAI’s entry as a signal that the entire paradigm of how customers discover and purchase products is shifting toward agentic commerce — online shopping managed with AI.

Table of Contents

What OpenAI Is Offering: Instant Checkout Explained

Instant Checkout enables ChatGPT users to complete purchases without leaving the conversational interface. When someone asks a shopping-related question—”best running shoes under $100″ or “gifts for a ceramics lover”—ChatGPT displays relevant products from across the web. For items where Instant Checkout is enabled, users see a “Buy” button that lets them complete the entire transaction within the chat.

How Instant Checkout Collapses the Ecommerce Journey

The technical foundation is the Agentic Commerce Protocol, an open-source standard co-developed with Stripe that OpenAI is making available to any merchant or developer. This protocol creates a secure payment framework where ChatGPT acts as the user’s AI agent, passing information between customer and merchant while the merchant retains full control as the merchant of record. Merchants handle orders, process payments through their existing systems (Stripe or otherwise), manage fulfilment and own the customer relationship post-purchase.

Currently supporting single-item purchases for U.S. users of the Plus, Pro, and Free tiers, OpenAI plans to expand to multi-item carts and additional regions. The company emphasizes that product recommendations are organic and unsponsored, ranked purely by relevance, with merchants paying a small transaction fee on completed purchases. For customers, the service is free and doesn’t affect product prices. ChatGPT Plus and Pro subscribers can leverage saved payment methods and shipping details for even faster checkout, though all users must explicitly confirm each step before purchase.

This represents OpenAI’s first major move toward what they call “agentic commerce”—a platform where AI doesn’t just help you find products but actively facilitates purchasing them on your behalf, with the long-term vision of more autonomous shopping experiences.

The Friction-Free Promise: What Changes for CX

Ecommerce has long been a goal of every digital platform, from the leaders of internet browsers to social media platforms. Yet the customer journey of most ecommerce attempts often includes friction points for customers to complete a purchase: multiple browser tabs and re-entering payment information, all while having users create an account, can lead to abandoned carts.

Many experts had hoped social commerce – retail through social media – would minimize the friction points. The volume of US social commerce did rise, especially during the COVID-19 pandemic. The rise of direct-to-customer retail placed a spotlight on aligning click-through behaviour and sales, creating high interest in a cart checkout with just a few clicks.

OpenAI’s launch of Instant Checkout approaches a speedy checkout with a “chat to checkout in just a few taps.”

How Does Instant Checkout Work?

Here’s how Instant Checkout works: A customer asks ChatGPT for “gifts for a ceramics lover,” receives curated product recommendations, sees a “Buy” button on items with Instant Checkout enabled, and completes the purchase without ever leaving the conversation. For ChatGPT Plus and Pro subscribers, the platform can prefill shipping and payment details, making the experience even more seamless.

This level of convenience raises the digital customer experience bar significantly.

The Rise of Conversational Shopping Behaviour

If customers can complete a purchase in seconds through conversational AI, they’ll increasingly expect similarly frictionless experiences everywhere else. Retailers who maintain clunky checkout processes will feel the comparison acutely.

The Trust Equation: Transparency in a Black Box

One of the most significant customer experience implications involves trust and transparency. OpenAI emphasizes that product results are “organic and unsponsored, ranked purely on relevance to the user,” and that Instant Checkout availability doesn’t influence product rankings. When multiple merchants sell the same product, ChatGPT considers availability, price, quality, primary seller status and Instant Checkout availability to optimize user experience.

One potential shift for customers is the kinds of trust signals to look while shopping online.

New Trust Signals in an AI-Led Environment

Customers have spent years learning which search results, sponsored placements and algorithmic recommendations to trust. They know when they’re being marketed to. Conversational AI collapses those visual cues. There’s no “Ad” label or comparison shopping pages, verifying that you’re seeing the best options.

For CX professionals, this creates a paradox. The experience feels more personal and helpful—like getting advice from a knowledgeable friend—but the mechanisms driving recommendations remain opaque. OpenAI’s commitment to relevance-based ranking is important, but maintaining customer trust will require ongoing transparency about how these decisions are made.

Merchants as Merchants of Record: Preserving Relationship Ownership

Unlike marketplace models where the platform intermediates the customer relationship, OpenAI positions itself as the customer’s “AI agent—securely passing information between user and merchant, just like a digital personal shopper would.” Merchants remain the merchant of record, handling orders, payments, fulfillment and customer support through their existing systems.

This architectural choice has profound CX implications. When issues arise—damaged goods, shipping delays, return requests—customers must navigate the merchant’s existing support infrastructure. They can’t simply resolve everything in ChatGPT. OpenAI explicitly states that “merchants use your order information to complete the order, but OpenAI asks merchants to not sign users up for marketing emails from their ChatGPT orders.”

This creates a potential friction point.

When the Chat Becomes the Customer Support Channel

Customers who complete purchases in a conversational environment may expect conversational support. They’ll ask ChatGPT about order status, return policies or replacement requests. While ChatGPT can surface information, the actual resolution still requires engaging with the merchant directly.

For retailers, this means your post-purchase CX needs to match the seamlessness of the purchasing experience. If ChatGPT makes buying easy but your support remains difficult, the disconnect will be glaring.

The Context Advantage: Memory and Personalization

ChatGPT’s existing features—Memory, Custom Instructions and conversation history—create opportunities for deeply personalized commerce experiences. The platform can remember that you prefer sustainable products, have a specific budget range, or are shopping for someone with particular interests.

Memory as the Engine of Relationship Commerce

This contextual awareness enables product recommendations that feel genuinely helpful rather than algorithmically generic.

For customer experience strategy, this represents a shift from session-based commerce to persistent relationship commerce. Instead of starting fresh with each visit, customers maintain an ongoing dialogue where preferences, constraints and needs are already understood. It’s the digital equivalent of shopping with a personal stylist who remembers your taste, size and budget.

However, this also requires rethinking privacy and consent. OpenAI notes that “to respond to your shopping question, ChatGPT uses your query and available context (such as Memory or Custom instructions).” Customers may not fully grasp how much information they’re sharing through casual conversation or how it’s being used to shape recommendations.

Multi-Item Carts and the Future of Agentic Commerce

Currently, Instant Checkout supports single-item purchases only. OpenAI plans to add multi-item carts and expand merchant and regional availability. But the real customer experience transformation lies in what OpenAI calls “agentic commerce”—where AI doesn’t just help you find what to buy but actually makes purchases on your behalf.

Imagine asking ChatGPT to “stock my pantry with staples I usually buy” or “replace my worn-out workout clothes with similar items” and having it autonomously complete those purchases based on your preferences, budget and past behaviour.

AI Autonomy and the Next Phase of Agentic Commerce

OpenAI emphasizes that “users stay in control—they explicitly confirm each step before any action is taken,” but it’s easy to see how this could evolve toward greater autonomy.

From a CX perspective, this promises ultimate convenience but introduces new anxieties. What happens when the AI makes a wrong assumption? How do you dispute an order you didn’t manually approve? What safeguards prevent accidental purchases during casual conversation? These aren’t theoretical concerns—they’re fundamental customer experience challenges that will need addressing as agentic commerce matures.

The Discovery-to-Purchase Continuum Collapses

Traditional ecommerce has maintained a clear separation between discovery (search engines, social media, content sites) and purchase (retailer websites, marketplaces). ChatGPT collapses this continuum entirely. The same conversation that starts with “how do I decorate a small apartment” can seamlessly transition to purchasing specific furniture pieces without the customer ever consciously entering “shopping mode.”

This fluidity creates immense convenience but also removes traditional decision-making waypoints. In conventional ecommerce, the journey from discovery to checkout includes multiple opportunities for price comparison, reading reviews and specification verification.

Discovery, Purchase and Confidence in One Flow

Conversational commerce compresses these steps, potentially reducing buyer confidence even as it increases convenience.

Savvy retailers will need to ensure their product information, reviews and trust signals are accessible within conversational contexts. If ChatGPT recommends your product, customers should still be able to access detailed specifications quickly, customer reviews, return policies and other information that builds purchase confidence.

Six Strategic Imperatives for Retail CX Leaders

Actions ecommerce and CX professionals can take to prepare for conversational commerce.

Action Recommendation
Prepare for conversational commerce expectations Even customers who never use ChatGPT shopping will expect its convenience. Streamline your checkout to minimize steps between discovery and purchase.
Ensure your product data is AI-ready ChatGPT relies on structured data—pricing, inventory, and descriptions—to recommend accurately. Optimize catalogues for AI parsing, not just human browsing.
Strengthen post-purchase CX Make order tracking, returns, and support as effortless as buying through chat. Consider adding conversational AI support on your own channels.
Maintain transparent pricing and policies AI shoppers may buy without visiting your site. Ensure your product feeds include clear pricing, shipping, and return data to prevent confusion.
Rethink customer acquisition costs OpenAI’s per-transaction fees shift focus from ad-driven discovery to conversion-based models. Re-evaluate your acquisition and retention ROI.
Plan for autonomous shopping Prepare for AI-driven, recurring purchases where customer oversight decreases. Define safeguards, limits, and opt-ins to maintain control and trust.

The Larger Context: Commerce at the Conversation Layer

OpenAI’s move follows a broader trend of commerce functionality migrating to conversational interfaces powered by AI. Meta has been experimenting with business messaging on WhatsApp and Instagram. Google has integrated shopping into search results, hoping to further leverage its AI Overview integration with its search engine.

But OpenAI’s approach—combining product discovery, recommendation and checkout entirely within a conversational AI interface—represents the most complete implementation yet. OpenAI’s decision to open-source the Agentic Commerce Protocol suggests ecosystem ambitions.

Commerce at the Conversation Layer

By creating a standard that works across AI platforms and payment processors, OpenAI is positioning conversational commerce as infrastructure, not just a ChatGPT feature. Marketing professionals must monitor adoption of conversational commerce as an element of marketing strategies and campaigns.

Moreover, competitors who are still finding their AI strategy will see the Agentic Commerce Protocol as a significant competitor. Amazon, for example, has long offered shopping capabilities with Alexa. But partners in the Alexa ecosystem may move toward Open AI if Amazon does not launch a similar AI protocol for Alexa.

 

An orange infographic showing a bridge connecting “Fragmented Shopping” on the left—representing disconnected discovery and purchase experiences—to “Seamless Commerce” on the right, illustrating unified, personalized and convenient shopping through AI-powered conversational commerce.
An AI-driven bridge is forming between fragmented shopping journeys and seamless, personalized commerce as retailers embrace conversational AI experiences.Simpler Media Group

 

Measuring Success in Conversational Commerce CX

Traditional ecommerce metrics—bounce rate, cart abandonment, time on site—don’t translate cleanly to conversational commerce.

Metrics That Redefine Success in Conversational Commerce

New ways to measure engagement, conversion and satisfaction when shopping happens inside AI conversations.

Metric Definition
Recommendation acceptance rate Percentage of purchases made from ChatGPT’s initial suggestions versus alternatives.
Conversational conversion Ratio of shopping-related prompts that end in a completed transaction.
Repurchase through conversation Share of customers returning to ChatGPT for repeat or follow-up purchases.
Post-purchase satisfaction Customer-reported satisfaction after buying through ChatGPT, including fulfilment and support quality.
Preference drift How accurately ChatGPT adapts to a customer’s evolving preferences and feedback over time.

These metrics will help retailers understand whether conversational commerce delivers genuine CX improvements or simply novelty-driven early adoption.

The Questions That Remain

OpenAI’s Instant Checkout raises as many customer experience questions as it answers:

How will product returns work when the purchase was made conversationally? Can customers modify orders placed through ChatGPT? What happens when products are out of stock after ChatGPT recommends them? How do subscription services and recurring purchases translate to conversational commerce? What safeguards prevent accidental purchases during ambiguous conversations?

These implementation details are fundamental to whether conversational commerce is a fit for the seamless customer experience being sought. Marketers should consider whether the answers mean achieving the promised experiences or are an indicator of implementation frustrations.

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Sourced from CMSWIRE

By Tom May

Marketing agency Knowlton is a master at using humour in advertising. Its co-founder explains how you can replicate its success—with a little help from Adobe Express.

n a world saturated with intrusive marketing, Dan Knowlton has pioneered a refreshing approach. As co-founder of video and social media marketing agency Knowlton, Dan has perfected the art of what he calls Advertainment—a creative methodology that’s transforming how businesses connect with their audiences.

“Advertainment is our unique approach that fuses advertising with entertainment,” he explains. “Instead of pushing traditional, sales-heavy content that people tend to scroll past, we create content that audiences actually want to watch. It’s about being so engaging that it’s impossible to ignore while still weaving in strategic messaging that drives results.”

Intriguing, right? We caught up with Dan to learn more about his journey, how Advertainment is created in practice, the role that Adobe Express plays in his workflow, and his tips for crafting marketable content yourself.

Origin story

Knowlton was born of humble origins. In 2017, Dan and his brother Lloyd started their agency from their parents’ spare room after becoming “sick of intrusive, over-salesy marketing.” They began by producing funny videos to promote their company. Then, gradually, they realised the need to structure these videos strategically to drive business.

“For our clients, this approach has been a game-changer,” Dan reflects. “It’s helped us generate millions in trackable revenue and secure major contracts. Because people are not just seeing the content: they’re enjoying it, sharing it, and taking action because of it.”

Today, their client list includes Wahl, Sunny D, Boston Consulting Group, BBC Storyworks, and Channel 4. And the timing couldn’t have been better. After all, the social media marketing landscape has undergone significant shifts in recent years, requiring businesses to adapt their strategies accordingly.

“Social media marketing has become way more visual and fast-paced,” Dan observes. “It’s no longer about just pushing out long-form content or polished ads. People want something that feels more authentic and real. Video is massive, and short, engaging clips are what people are looking for.”

The right tools

Behind every successful creative is a toolkit that enables rapid ideation and execution. For Dan and his team, Adobe Express—the quick and easy content creation app for designers and non-designers alike—has become an indispensable resource for developing their content.

“Adobe Express is a really practical tool for us, especially when we’re working fast and need high-quality visuals,” Dan enthuses. “One specific way I use it is to make quick edits to pitches that our designers have created using other Adobe software. As I’m not a professional designer, it’s super-handy because it makes the process straightforward without needing advanced design skills.”

The team will also use Adobe Express to create social media graphics, video thumbnails and visual elements for campaigns. “It’s great for maintaining brand consistency while still being flexible enough to adapt to different campaign needs,” says Dan.

Standout features

The crucial thing is to boost speed and efficiency without sacrificing quality. Dan highlights specific features in Adobe Express that help square that circle. “The huge library of Adobe-quality templates is a lifesaver when we need to create visuals fast,” he notes. We can easily tweak them to fit our brand or the specific campaign.”

He particularly values the Brand Kit feature. “This keeps our branding consistent, especially when we’re working on multiple projects at once,” he explains. We can store logos, fonts, and colour schemes and apply them with just a few clicks.”

Adobe Express also excels at quick edits. “Things like background removal and resizing are just really easy to do without any hassle,” Dan points out. Finally, he praises the software’s collaborative tools. “Since the team often works on projects together, these make it simple to pick up where someone else left off,” he explains.

In summary, Dan explains that “Adobe Express is not about overcomplicating things—it’s a really practical tool that makes us more efficient.”

Real-world results

So, how does this all work in practice? Dan shares a specific example of how Adobe Express transformed a marketing campaign.

“We were working on paid creative assets for a large SaaS business we supported during their UK relaunch,” he recalls. “The client needed some tweaks to their existing designs to make them more engaging. We used Adobe Express to quickly adjust layouts, update messaging, and test a few different variations.”

The results speak for themselves. “The refreshed ads we created significantly outperformed the original assets they were using: higher click-through rates and way more engagement,” Dan reveals. “It just shows how making a few quick design tweaks can make a massive difference, especially when you’re working with a tight turnaround.”

No surprise, then, that Dan is now an Adobe Express Ambassador: you can find details of the programme, and how you can join it, here.

Content tips for small businesses

Dan has some valuable insights for small businesses aiming to create engaging video content using tools like Adobe Express. “Tell a story,” he urges. “Make your videos about people, stories, or real experiences rather than just products. That’s what makes them relatable. But make them short and sweet: People don’t have time for long-winded content. Get to the point quickly and make it punchy.”

Feeling overwhelmed by the pressure to create content? Then, step back and take a deep breath. “Don’t try to reinvent the wheel every time,” Dan stresses. “Some of our best content ideas come from seeing what’s already working for other creators, particularly on platforms like TikTok. If you see a format or trend that’s performing well, put your own spin on it rather than starting from scratch. Also, you don’t need to be everywhere at once. Pick one platform where your audience hangs out and master it before branching out.”

Furthermore, he emphasises consistency over perfection: “Use tools like Adobe Express to quickly repurpose content. For example, if you make a great video, turn it into a few shorter clips or add some graphics to create a new post.”

Finally, Dan encourages businesses to: “show your personality. Don’t be afraid to be a bit quirky or real; that’s what people connect with. But at the same time, stay on-brand. Use consistent colours, fonts and logos to make sure people know it’s you.”

The power of humour

The thing Dan’s best known for, of course, is his use of humour. And there’s no reason you can’t follow him down that route, too. “Humour is a game-changer when it’s done right,” he asserts. “Too many brands play it safe, but being funny is a great way to stand out and make people remember you.”

For inspiration, Dan suggests looking to the professionals. “Draw inspiration from comedy creators like Imogen Andrews, Al Nash, Jack Joseph, or even shows like Peep Show and Aunty Donna,” he urges. “These creators have a knack for making relatable, funny content that people can’t help but engage with.”

When it comes to creating your own content, he adds, “Don’t overthink it. Humour is about having fun, and if your content feels too forced, it won’t resonate. Experiment, learn from what works, and lean into that.”

A mission to transform marketing

What began as a rebellion against intrusive marketing has evolved into a successful agency with an in-house team of 15 and a pool of over 50 trusted freelancers. Dan’s mission is clear: “To rid the world of crap marketing”.

Through the power of Advertainment and with tools like Adobe Express at his disposal, Knowlton is showing that marketing doesn’t have to be an interruption—it can be content that audiences genuinely enjoy. As Dan puts it: “We make audiences enjoy the process of being convinced to buy your products and services.” And in today’s competitive landscape, that might just be the most valuable skill a marketer can offer.

Feature image credit: picsmart – stock.adobe.com

By Tom May

Sourced from Creative Boom

By Greg Peters

AI is the biggest jolt of energy marketing has felt since the internet. Rather than fear it, smart operators will grab it and ride the wave.

In the Mad Men era of the 1960s, marketing lived in the boardroom, born from creative conversations and driven by strategy. The internet’s arrival in the mid-1990s flipped that world, pushing marketers from shaping big ideas to managing tactics like SEO, banner ads, pop-ups and content mills. Now AI is here, and the shifts feel constant. At a breakneck pace, it’s commoditizing once-core marketing tactics, doing the work so effectively that public opinion assumes machines can replace marketers.

Here’s where the pressure amps up: Clients and executives often don’t care how the work gets done, as long as it’s completed on time and within budget. You can manage revenue, risk, cost and cash flow however you see fit, as long as the numbers move in the right direction.

For some, that sounds terrifying and like a sure sign AI will decimate the creative process and eliminate jobs. But I’m here to tell you that this isn’t the end. You’re not going to lose your job to AI. But you could lose your job to someone who knows how to use it.

Creative Resistance And Adoption

You can see the resistance to AI playing out in the talent market. Countless writers have “open to work” on their LinkedIn profiles. The perceived value of writing has been eroded, hitting marketing intensely. AI makes tactics easier to access, so agencies and professionals must demonstrate that their work drives outcomes beyond what a tool can produce.

Those of us using AI daily know marketing has never stopped being valuable. Agencies need to demonstrate their value through tangible results. Smart AI adoption combined with expertise delivers faster, lasting outcomes. Understandably, the resistance often comes from creatives who are hesitant to adopt new tools out of fear.

I’ve always been a late tech adopter, but even I use ChatGPT. I rely on it for decks, engagement plans and strategy documentation. If I’m embracing it, the debate is over. The only question now is how to use it well.

Real-World Disruption In Action

Examples already show what this looks like. At my agency, we built an internal AI we call DirectorGPT. It captures our team’s knowledge so anyone can get quick answers without waiting for a senior lead. It saves time, facilitates onboarding and provides a reliable knowledge base. At the same time, agencies are experimenting with platforms that help analyse performance and optimize campaigns faster than ever before.

The lesson isn’t that agencies have no future. In fact, it’s a call to recognize where humans add the most value. Agencies must determine where AI is most effective and where human creativity remains essential. AI can generate a first draft of an email or a landing page. It can even create long-form narrative content and develop a brand strategy. But it can’t replace human creativity.

Inspired marketing pulls from culture, art, literature and even the bizarre. Think about campaigns that feel strange, yet stick because they capture attention in ways no tool could predict: A fast food brand sparring with competitors on social media. A beverage upstart disrupting the bottled water market with unconventional tactics.

True creativity takes something from one corner of culture and combines it with something unrelated to reveal something new. AI can’t make those leaps because it works only with what already exists. Humans can. When creatives use AI for mundane work, we gain time to focus on originality.

AI is the ultimate yes-man. It will flatter you into failure. It’s never going to push back and stop you from publishing something you’ll regret. The person behind the keyboard must be able to distinguish between good and bad. If those skills erode, teams will generate endless stale content that inspires no one to click, read or buy.

The Playbook For Using AI Right

Winning marketers will be the ones who use AI purposefully. These are the moves worth making:

• Leverage AI for speed. Summarize data, prepare talking points and cut down on research time.

• Build stronger engagement plans. Use AI to connect client objectives with practical marketing moves.

• Prompt with purpose. Iterate to refine results, and keep a library of the best prompts.

• Gut-check outputs. Never accept AI at face value. Apply human taste, style and critical thinking.

• Shift your lens to outcomes. Don’t view AI solely as a cost savings tool. Use it to drive outcomes and stay ahead.

Punk Rock Lessons For The Future

For me, adopting AI feels like punk rock. Punk was about breaking the rules, but the best musicians knew the rules first. It’s the same with AI—you must understand how the work is done before you can rebuild it with these tools.

The fear surrounding AI is loud, but like every disruptive technology, the noise will fade as adoption becomes commonplace. Conversations that feel urgent today will sound outdated soon. The same thing happened with the fax machine, the printer and the internet. Each one faced scepticism before becoming standard. AI is following the same path, albeit at a faster pace.

When the Spanish brought horses to North America, the indigenous Plains people had never encountered them before. Within a few generations, they’d incorporated horses into their way of life. They took a foreign technology and used it to leap forward. That’s what humans do. We harness technology and bound forward with it.

The tools are here, and the tide is rising. Marketing isn’t disappearing. It’s about to get more demanding, more creative and more fun. Grab hold, ride the wave and own it.

Feature image credit: getty

By Greg Peters

Find Greg Peters on LinkedIn. Visit Greg’s website.

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Greg Peters is the president and founder of 4B Marketing, a full-service tech marketing agency based in Denver, CO. Read Greg Peters’ full executive profile here.

Sourced from Forbes

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An emotional connection with fans is as important as on-field performance.

Your team’s on-field performance might be what dominates headlines – but it’s not the only consideration for sports brands looking for long-term growth. Building an emotional connection with both fans and wider audiences is just as critical. Simply having one of the best sports logos isn’t enough.

Commissioned by Conran Design Group, a new study titled Citizen Brands 2025: Solving the Connection Deficit looks at stakeholder expectations of sports brands today, as well as consumer perceptions of 170 cross-category brands in relation to key Citizen Brands attributes. What is a Citizen Brand? One that better connects to the people it sells to and the societies it operates within.

The study identifies a growing ‘connection deficit’– the widening gap between what consumers expect from brands and what they actually experience. In sport, this often manifests as a misstep between competitive success and emotional trust. Fans today want more than results: they want consistency, cultural identity, and values they can believe in.

With Citizen Brands, we’ve developed a framework that helps sports leaders connect to what matters for both the individual fan (reliability, betterment and originality) and wider society (inclusivity, environmentalism and contribution). This framework is proven to lead to higher purchase intent as well as stronger commercial growth: the top Citizen Brands generated up to 37% more revenue and saw 93% higher stock price growth over five years than their lower-performing counterparts.

In this year’s report, we looked at how brands like McLaren, the LA Lakers, Paris Saint-Germain, the All Blacks and Red Bull Racing stack up when it comes to activating Citizen Brand levers. It turns out it’s all to play for in sports.

Unlike brands in other categories, sports brands are underperforming on all Citizen Brand attributes. This leaves room for emerging category champions – brands able to connect and deliver at both individual and societal level, and drive growth in the process. So, what can sports brands do to strengthen these connections and drive business performance?

01. Double down on reliability and brand consistency

Of our six brand levers, ‘reliability’ is the top attribute driving commercial traction and positive sentiment. In this context, ‘reliability’ means more than smashing records or flying to the top of league tables: it’s about both dependable performance and the ability to consistently provide fan entertainment.

Take the LA Lakers: they might have only won one NBA title in the last 15 years, but through building assurance and visibility beyond performance, they outperform every other NBA team in terms of both brand valuation and social following.

Then you have the All Blacks: aside from their exceptional track record, they demonstrate reliability through one of the most consistent brand identities out there. For them, it’s about maintaining high standards on the pitch, but also ensuring the team’s values, visual identity and fan experience are reliably excellent year after year. This then keeps fans (and sponsors) invested for the long haul.

‘Betterment’, which is about improving the lives of your fans, both emotionally and functionally, was the second-highest lever driving consumer engagement for sports brands. The challenge isn’t just to engage fans for the duration of a match but to build an intimate relationship with them before, during and after. Fans now expect content and connection beyond the field of play; they want their team (or brand) to show up in unexpected ways to underline the value it offers.

Netflix’s Drive to Survive gave brands like Red Bull Racing and Ferrari the chance to go beyond the confines of the racetrack to drive engagement with fans (and create new fans along the way). Having dominated Formula 1 in recent years, Red Bull Racing are masters when it comes to dialling up ‘betterment’ during race weekends. From the VIP Paddock Club providing meet-and-greets and pit tours to festival-style fanzones with live DJs and interactive booths, they know how to entertain fans long after a podium finish.

Those looking to dial up ‘betterment’ should be thinking about designing a brand experience strategy that creates signature moments and content to enrich fan experience around the game or match itself.

02. Focus on originality to find your unique place in culture

‘Originality’ ranks as a critical driver of positive fan sentiment in sports. When a sports brand shows creativity, flair and authenticity in its branding, style or cultural collaborations, it can turn casual followers into devotees.

Being a fan (both diehard and more fair-weather) isn’t the same as being a consumer. As such, a sports brand’s origin story, history, rituals, glorious highs and crushing lows – and its ability to say something different – are key to building audience connection. In addition, top-performing brands are able to reveal their unique cultural relevance in a broader sense.

Take Paris Saint-Germain (PSG), a brand that leverages a sense of originality to expand its off-field reach. In attaching the brand to the DNA of Paris and the world of fashion through brand partnerships with Michael Jordan (Nike), Dior and Koché and celebrity endorsements, it has become a true lifestyle beacon, capturing the attention of audiences inside and outside football.

03. The long-term payoff: loyalty, equity and growth

The sports brands that will dominate in the next decade aren’t just the ones with the silverware. They’re the ones that balance emotional connection with performance –- making the fans feel something deeper: emotional equity.

Leaders wanting a slice of the pie need to look at how to best leverage a sense of reliability, originality and betterment through their brand activations. The most successful will be those who look beyond the confines of the game to cultivate ‘fans’ rather than customers and ‘communities’ instead of audiences.

Feature image credit: Nike / Future

By 

Anaïs Guillemané Mootoosamy is Strategy Managing Director at Conran Design Group.

Sourced from Creative Bloq

By Roger Dooley

Walmart is experimenting with paper catalogues. Yes, you read that correctly. The retail giant that helped drive countless catalogue companies out of business is now testing the very medium many considered dead, according to RetailWire. It’s only been a few years since Sears, the company that essentially invented American catalogue shopping, filed for bankruptcy. Now, Walmart is discovering what neuroscience researchers have been saying all along: paper has unique psychological advantages that digital cannot replicate.

As someone who co-founded a catalogue company years before e-commerce transformed retail, I find this development both ironic and validating. For more than a decade we enjoyed creating catalogues that our customers eagerly anticipated. Receiving a catalogue filled with both new and familiar products was a consumer experience totally unlike the always-on, 24/7/365 world of e-commerce. Less convenient, to be sure, but often more fun.

The Counterintuitive Psychology Behind Walmart’s Strategy

Walmart’s home furnishings catalogue, launched in August, is apparently performing well for what looks like a nostalgic throwback. The company reports that engagement and impression figures “soundly beat” their expectations, with the catalogue serving as what SVP Creighton Kiper calls a tool for “top-of-mind consideration, awareness and reappraisal.”

What Walmart has discovered aligns with neuroscience research I’ve been writing about for years. Temple University researchers using fMRI brain scans found that physical ads cause greater activation in the ventral striatum—the brain area most predictive of purchase intent—than digital ads. This shows a fundamental difference in how our brains process information.

The research shows paper advertising requires 21% less cognitive effort to process than digital media. Brand recall is 70% higher for direct mail pieces compared to digital ads. Perhaps most importantly for retailers like Walmart, physical materials produce more brain responses connected with internal feelings, suggesting greater “internalization” of the marketing message.

Why Digital-First Retailers Are Rediscovering Print

The timing of Walmart’s catalogue experiment is particularly strategic. As marketing expert Polly Wong notes in the RetailWire piece, digital targeting through algorithms gives marketers “about a 20% chance of reaching who you want to when you want to.” Meanwhile, a physical catalogue can sit on a coffee table for weeks, getting multiple views and perhaps being shared among household members. My own experience showed that orders would keep coming many weeks after the catalogue reached the customer’s mailbox.

This multi-touch exposure is crucial for home furnishings—a category where purchases are considered, aspirational, and often discussed among family members. Unlike a fleeting Instagram ad or a quickly deleted email, a catalogue becomes what marketers call a “brand artifact” in the consumer’s physical space.

As I noted in my 2015 Forbes piece, paper’s advantages stem from how it engages our spatial memory networks. Physical material is more “real” to the brain—it has meaning and place. This is particularly important for home furnishings, where customers are literally trying to visualize products in their own spatial environment.

Digital, of course, has its own advantages in this space. Room visualizations, for example, can’t happen in a static piece of paper.

The Strategic Implications for CMOs

Walmart’s catalogue isn’t trying to recreate the 600-page Sears wish book of yesteryear. Instead, it’s a curated, shoppable experience enhanced with QR codes—a perfect example of making paper and digital work together rather than in competition.

For CMOs, this suggests several strategic considerations:

Reframe the Print vs. Digital Debate: It’s not about choosing one over the other. The most effective strategies leverage paper’s superior emotional engagement and memory encoding with digital’s convenience and measurability.

Consider Category Fit: Home furnishings, fashion, luxury goods—categories requiring inspiration and emotional connection—may benefit disproportionately from print’s psychological advantages. Beautiful product photography in a large format creates desire in ways a smartphone screen simply cannot.

Target the Attention Economy Differently: With digital advertising becoming increasingly cluttered and ignored, physical mail represents what might be called “white space” in the consumer’s attention. One well-designed catalogue might generate more engagement than hundreds of digital impressions.

Measure Beyond Click-Through Rates: Walmart’s success metrics included “impressions and engagement,” but the real test will be whether catalogue recipients show increased lifetime value. The neuroscience suggests they will, as physical media creates stronger emotional connections and brand associations.

The Pendulum Swings Back (Slightly)

The death of print has been greatly exaggerated. While we’re never returning to the days when the Sears catalogue was Amazon-before-Amazon, smart retailers are recognizing that paper serves a unique psychological function that digital cannot fully replace.

Walmart’s experiment suggests we’re entering a more sophisticated era of omnichannel marketing. For CMOs willing to challenge digital-only orthodoxy, paper might just be the differentiator that cuts through the digital noise.

Is your brand missing out on paper’s unique ability to create lasting emotional connections with customers? As Walmart is demonstrating, sometimes the future of retail looks surprisingly like the past—but, with better data to explain why it works.

Feature image credit: Getty Images

By Roger Dooley

Find Roger Dooley on LinkedIn and X. Visit Roger’s website. Browse additional work.

Sourced from Forbes

By Aaron Baar

The grocery delivery platform is the first retail media partner to enable targeting and end-to-end measurement directly within TikTok’s ad platform.

Dive Brief: 

  • Instacart is collaborating with TikTok on a program that will integrate the company’s retail media network data into the platform’s Ads Manager, the companies announced in a press release.
  • Select CPG advertisers soon will be able to use Instacart data for targeting and measurement, and to enhance their shoppable ad formats. Instacart is integrating its purchase and grocery selection data directly into TikTok Ad Manager.
  • The integration makes Instacart the first retail media network to offer marketers end-to-end capabilities natively on TikTok, according to release details. The move follows other recent efforts from Instacart designed to boost its appeal to advertisers.

Dive Insight:

With the TikTok integration, Instacart aims to establish itself as the most advertiser-friendly media network, providing its data to help brands reach new and motivated audiences with minimal friction. While other retail media networks have worked with TikTok on specific campaigns, Instacart is “the first to work with Tiktok [on] what we’re calling an end-to-end integration,” Ali Miller, Instacart’s general manager of advertising, told Adweek.

That means advertisers will soon be able to use Instacart’s audience segments to better target campaigns on TikTok’s platform to reach consumers with high purchase intent. Additionally, they will be able to enhance shoppable formats through TikTok’s Smart+ campaigns, which are integrated with Instacart grocery selection data. Advertisers will also be able to measure campaign and conversion performance through a closed-loop platform.

Instacart claims to have more than 7,500 active brands and 1,800 retail partners in its ecosystem, giving it a robust pool of data for its retail media network. The TikTok partnership is part of the company’s strategy to help marketers cut through fragmentation and complexity by allowing them to tap into Instacart’s retail media data wherever they’re already buying media, per release details.

Beyond its latest move, Instacart recently announced a partnership with Pinterest to make ads on the platform shoppable via the grocery delivery service. The company also expanded its partnership with The Trade Desk to integrate its grocery selection data on the programmatic company’s platform, enabling advertisers and agencies to use specific criteria to build first-party custom audiences.

By Aaron Baar

Sourced from MarketingDive

By Mark Ritson

New ads for ChatGPT scored low on fluency—and even lower on branding basics

OpenAI’s recent ads for ChatGPT were everywhere—NFL Primetime, streaming platforms, outdoor, and beyond. Press coverage hailed the AI company’s biggest marketing push yet as a new chapter of AI brand building.

But few pointed out just how incredibly poor the ads were.

Set aside the irony of an AI company relying on traditional media to promote its product. Focus instead on the dire creative quality of the two TV spots, Pull-Up and Dish.

Research firm System1 tested both ads with a representative panel of U.S. consumers. The results confirm that while AI tech bros continue to kill it with product development, they’re lightyears behind on the rest of the marketing challenge.

Both ranked in the lowest quintile for long-term growth and short-term sales impact. That’s incredibly bad, even for the tech category, which always underperforms.

Worse, both scored dismally on fluency—System1’s measure of whether consumers actually know which brand is being advertised to them.

Source: System1 FluencyTrace real time testing of “Pull-Up”

The Pull-Up ad managed a fantastically bad fluency score of 59. That means only 59% of viewers–who were being paid to watch the ad with their full attention–knew what was being advertised. In System1’s real-time assessment above, you can see a black ocean of ignorance engulfing the audience. A disappointingly small hump of pink recognition kicks in two seconds before the end, when ChatGPT’s logo appears.

This is the definition of bad advertising, standing in rude contrast to the sea of pink when KFC or Apple or Mars ads are tested.

Source: System1 FluencyTrace real time testing of Twix “Two Bears” Ad

And that’s just real-time fluency, not the tougher and more important metric of branded recall among unpaid, inattentive audiences with a memory-shredding delay before being quizzed. Most studies conclude that just around half of all advertising achieves branded recall.

Now back to the killer ratio: half of the ads aired in America can’t even communicate what product they are selling.

There’s a simple explanation: Most marketers are too involved in their product. Most agencies are too interested in their storytelling. Both miss market orientation.

They don’t realize that consumers don’t care about their product, don’t focus on advertising, and have a bazillion more important things to think about. This total lack of involvement contrasts directly with professionals spending eight hours a day fixated on one brand and a thirty-second masterpiece. We make ads in exact inversion to how they’re consumed.

Bad advertisers assume a single whiff of a logo at the end is enough—like a Hitchcock movie revealing its triumphant conclusion in the final frames. Brands with a more advanced grasp of effectiveness know better. They use distinctive assets from the outset to ensure immediate recognition at the start, throughout, and after. They squeeze value from every pixel they paid for.

Andrew Tindall’s “Rule of 7” is instructive here. His analysis of a giant Effie database suggests a brand needs seven distinctive assets in a thirty-second ad to achieve 100% branded recall. Not seven different assets—just seven repetitions of the colours, shapes, and other elements in your asset palette. And no, that doesn’t limit creativity. It challenges it to work harder toward its true purpose: advertising effect and sales.

Achieving branded recall and maintaining distinctiveness is crucial for all brands. But it’s especially critical for AI brands like ChatGPT, which are incredibly generic. They all look the same, operate the same, work off each other, launch innumerable product iterations, and fall blandly into a big, grey AI bucket.

While AI awareness is near-universal among Americans, most people don’t see any difference between AI providers. Menlo Ventures found that “most people don’t distinguish between older assistants like Alexa and Siri and newer large language models like ChatGPT and Claude. It’s all the same.” I don’t know which AI models I’m currently subscribed to. Do you?

Distinctiveness will be crucial in the next chapter of AI. There are too many competing brands. The two or three that survive won’t necessarily carve a differentiated position, but they’ll come to mind first by standing out. The route to that escape starts with making ads that don’t score a 59 for fluency.

Perhaps the geniuses at OpenAI should have asked their own chatbot for advice. When I did exactly that yesterday, ChatGPT—unlike the company behind it—played it perfectly:

Prompt: Assess the new Pull-Up ad from ChatGPT against the laws of advertising effectiveness and score it out of 10.

ChatGPT-5: Pull-Up is strategically on-brief and nicely made, but it underweights distinctive assets and mid-ad branding, so it risks becoming a likeable, generic “AI-helped me” story rather than a memorable ChatGPT ad that builds future sales.

Score: 5/10

Mark Ritson is a former marketing professor, brand consultant and award winning columnist. He is the founder of the MiniMBA in Marketing, which teaches all the many laws of advertising effectiveness as part of its outstanding syllabus. 

By Mark Ritson

Mark Ritson has a PhD in Marketing and spent 25 years working as a marketing professor, and has also worked as both a global brand consultant and as the in-house brand consultant for LVMH. His articles have appeared in the Sloan Management Review, Harvard Business Review, the Journal of Advertising and the Journal of Consumer Research.

Sourced from adweek

Sourced from what’s trending

Summary:

  • Have you ever added items to your cart due to bonus offers? It’s a deliberate marketing strategy. Temu gamifies shopping.
  • Gamification in online shopping uses casino-style tactics to push buyers into purchasing more products. Variable rewards drive consumer behaviour.
  • Learn 5 ways to outsmart gamified marketing. Understand the illusion of savings and avoid impulse purchases. Take back control.

Have you ever found yourself adding items to your cart just because of a bonus offer you stumbled across? That wasn’t an accident. It’s a deliberate and highly successful marketing strategy.

Internet bazaars like Temu have gone through the roof in popularity as much for their apparently unbeatable prices as because of how they gamify shopping. One of their flashiest attractions is the promise of “big bonus discounts.” Their casino-style mechanisms that give users discounts, vouchers, or credits, at first glance seem to be a nice bonus. In fact, they are a quiet but powerful tactic to push buyers into putting more products into their baskets.

How Gamification Works in Online Shopping

Gamification—the application of game elements in a non-game environment—has become a routine strategy in online marketing. Fitness apps reward users with badges, banks give streak rewards, and e-learning sites provide points.

In the retail environment, however, gamification has special potency because it relates directly to expenditure. Temu and similar apps incorporate “prize wheel” into the user experience to simulate the thrill of the slot machine, providing an opportunity to “win” coupons, further discounts, or even free shipping. This is a tactic borrowed from the online gaming world, where free spins are popular form of casino bonus.

Every spin is a small win. Even a small reward—such as a few dollars taken off or a percentage discount—instils a sense of urgency. Consumers feel they have “earned” a prize and are motivated to use it before it runs out, which makes them purchase goods they otherwise would not have.

The Illusion of Savings: Understanding “Cart Creep”

Spin-the-wheel offers present discounts in the guise of fortune, redirecting consumers from considering need to grabbing a “prize.” Coupons usually come with minimum spends that encourage individuals to put more into their carts.

Hooked by Habit

Temu’s free spins aren’t a novelty that happens just once. They are replenished every day, often several times a day, entering a pattern of habit-based use. Even if consumers don’t intend to make a purchase, the temptation of a free spin lures them back into the app, where new items and lightning sales beckon.

This behaviour is based on behavioural economics. The variable reward—the thrill of not knowing what you’ll get—creates an exciting experience for the user. This unpredictability causes dopamine release in the brain, which gets the behaviour reinforced. Every spin not only keeps the app front of mind but also keeps the shopper pre-primed to buy something whenever they look at a “good deal.”

Shoppers often start with one or two items but end up with a full basket—a phenomenon dubbed “cart creep.” Spin-the-wheel deals push buyers to add more turning a $20 plan into a $65checkout. Similar tactics such as mystery boxes and lucky draws are used in flash sale sites to keep customers engaged. This is the same reason for the viral popularity of Labubu’s blind box strategy.

5 Ways to Outsmart Gamified Marketing

Getting to know these strategies is the most important step in shopping smart. Useful tips are:

Pause before spinning. Ask yourself whether you were going to purchase something prior to the offer. If not, then you’re likely being enticed by the game.

Read the fine print. Coupons mostly come with minimum spends or expire after hours, which promotes impulse purchasing.

Make a list. Hold yourself to things you really need rather than wandering through aimlessly to “spend” your prize.

Estimate actual savings. A 20% discount on something you don’t need isn’t saving money—it’s spending money.

Take advantage of a cooling-off period. If you find yourself vulnerable to a spin reward, wait a few hours before checking out. The rush will wear off, making rational decisions easier.

By treating “free spins” as a marketing strategy instead of an actual bonanza, you take back control over your shopping.

The Bottom Line

By combining entertainment and commerce, sites such as Temu have gamified online shopping. Spins for free and surprise rewards make it seem as though everyone triumphs. But in the end, the winner is usually the site itself, as it gains more engagement and bigger cart sizes.

Consumers aren’t hopeless, however. Learning how these strategies operate enables you think twice and not succumb to the trap of wastefulness.

Feature image credit: appshunter.io on Unsplash

Sourced from what’s trending

By Zak Doffman

Updated, Oct. 21 with an industry response to Google’s retreat on user privacy.

Apple warns iPhone users to stop using Google Chrome, and Microsoft has issued the same warning for Windows users. Now Google has confirmed more bad news for Chrome’s more than 3 billion users. Is it time to quit the world’s most popular browser?

Google’s plan to kill tracking cookies in Chrome centred on its Privacy Sandbox. This explored alternatives to cookies, seeking a balance between user privacy, the ad industry and regulators. That balance was never found. The focus on privacy is over.

Google has suddenly confirmed privacy initiatives “are being phased out.” The Privacy Sandbox, now in its sixth year, has essentially ended just months after Google confirmed tracking is here to stay and there are no viable alternatives.

The scale of this reversal is huge. “Google’s Privacy Sandbox is officially dead,” AdWeek reports, with Google telling the industry outlet “the entire project is being retired.”

The Privacy Sandbox has been fraught with issues since its inception. Its first initiative, the so-called Federated Learning of Cohorts (FLoC) was infamously pilloried by Apple’s “Flock” remake of Hitchcock’s “The Birds,” promoting Safari at Chrome’s expense.

The list of initiatives now retiring “in light of their low levels of adoption,” include: Attribution Reporting API, IP Protection, On-Device Personalization, Private Aggregation, Protected Audience, Protected App Signals, Related Website Sets, SelectURL, SDK Runtime and Topics. In short, pretty much everything.

Responses to Google’s confirmation that the Privacy Sandbox is essentially dead have been are stark. Per Gizmodo, “Google just quietly killed something you may never have used or heard of: Privacy Sandbox. You should grieve this death anyway, because the implications are grim. This basically means six years’ worth of work toward ending third-party cookies in Chrome—which might have ultimately made cookies obsolete across all major browsers — has amounted to nothing.”

PPC Land says “Chrome kills most Privacy Sandbox technologies after adoption fails. Google retires nine Privacy Sandbox APIs following years of development, low uptake, and widespread industry criticism of the cookie replacement initiative.”

“Google has killed Privacy Sandbox,” Engadget says.

The irony for privacy advocates is that none of the negative headlines in the last two years — including stay of execution for tracking cookies and rebirth of digital fingerprinting — have dented Chrome’s dominance on mobile or desktops.

Chrome now has more than 70% of both the mobile and desktop global markets. The only threat on the horizon comes from new AI browsers, including Perplexity’s Comet and an eagerly anticipated option from Open AI.

There again, Google is rushing out advanced to maintain its lock, with its recent Gemini in Chrome upgrade designed to keep the upstart AI browsers at bay. Again, privacy warnings have already been issued, with Gemini harvesting more user data than the alternatives. But, again, it seems unlikely to make a difference to user adoption.

That said, Gizmodo warns “with Privacy Sandbox completely gone, it’s clear that somewhere along the line, the long deferred plan fizzled. Individual tracking of users is a load-bearing structure of the free, ad-supported internet, and that’s not about to change.” And when it comes to Google’s stewardship of the global internet, perhaps that’s the most surprisingly unsurprising news of all.

If there’s a root cause behind the death of Google’s Privacy Sandbox, it’s the tech giant’s precarious balancing act. It plays both game-keeper by safeguarding user privacy interests, and poacher, as the primary beneficiary from the digital ad industry it created.

Ultimately, the industry feared that killing cookies would benefit Google through its unique insider position at their expense, where on every level, any replacement for tracking cookies would water down their ability to track users across the web.

But for the industry we’re possibly now more in an uneasy limbo-land than a settled, long term solution for the privacy versus tracking tension that dominates big tech. Per Search Engine Land, “Google’s shutdown of Privacy Sandbox ends cookie chaos for now but leaves the future of privacy-first advertising uncertain.”

The ad industry-focused website says “the Privacy Sandbox was Google’s answer to growing privacy regulation and industry backlash against cross-site tracking — but its complexity, limited adoption, and regulatory scrutiny stalled momentum. At last, Google is no longer forcing a shift away from third-party cookies, preserving the familiar targeting and measurement tools that power much of digital advertising.”

But this comes with a warning: “While this offers short-term stability and fewer disruptions to campaign performance, it also signals that true privacy-safe ad solutions are still unresolved, leaving the industry without a clear path forward as regulators and browsers continue tightening data rules. In short — advertisers get breathing room today, but more uncertainty tomorrow.”

It’s no easier now to work through what happens longer term than it was six years ago, when the demise of tracking cookies was promised and Privacy Sandbox was born. This has proven an impossible problem to reconcile. The disappointment now is that users have paid the price for a schism at the heart of the online ad ecosystem.

You are being tracked on the browser most of you use, despite a promise that would stop. And there’s now no end in sight. Ultimately, perhaps that’s all that matters. And it comes as AI browsers are set to disrupt the entire ecosystem like never before.

Feature image credit: dpa/picture alliance via Getty Images

By Zak Doffman

Find Zak Doffman on LinkedIn and X.

Sourced from Forbes