Think different: The Positionless Marketing manifesto by Optimove

In 1997, Apple launched a campaign that became cultural gospel. “Think Different” celebrated the rebels, the misfits, the troublemakers. The ones who saw things differently. The ones who changed the world. 

Apple understood something fundamental: the constraints that limited imagination weren’t real. They were inherited. Accepted. Assumed. And the people who broke through weren’t smarter or more talented. They simply refused to believe the constraints applied to them. 

Twenty-eight years later, marketing faces its own Think Different moment. 

The constraints are gone. Technology has removed them. AI can generate infinite variants. Data platforms deliver real-time insights. Orchestration tools coordinate across every channel instantly. The infrastructure that once required armies of specialists, weeks of coordination and endless approvals now exists in platforms accessible to any marketer willing to learn them. 

Yet most marketers still operate as if the box exists. 

They wait for the data team to run the analysis. They wait for creative to deliver the assets. They wait for engineering to build the integration. They operate within constraints that technology has already eliminated, not because they must, but because assembly-line marketing taught them that’s how it worked. 

Creative waits for data. Campaigns wait for creative. Launch waits for engineering. Move from station to station. Hand off to the next department. That was the assembly line. That was the box. 

And that box is gone. But the habits remain.  

Here’s to the marketers who refuse to wait for approval

The ones who see a customer signal at 3 p.m. and launch a personalized journey by 4 p.m., not because they asked permission but because the customer needed it now. 

The ones who don’t send briefs to three different teams. They access the data, generate the creative and orchestrate the campaign themselves. Not because they’re trying to eliminate specialists, but because waiting days for what they can deliver in hours wastes the moment. 

The ones who run experiments constantly, not occasionally. Who test 10 variants instead of two. Who measure lift instead of clicks. Who know that perfect insight arrives through iteration, not through analysis paralysis. 

Here’s to the ones who see campaigns where others see dependencies 

They don’t see a handoff to the analytics team. They see customer data they can access instantly to understand behavior, predict intent and target precisely. 

They don’t see a creative approval process. They see AI tools that generate channel-ready assets in minutes, allowing them to personalize at scale rather than compromise for efficiency. 

They don’t see an engineering backlog. They see orchestration platforms that automate journeys, test variations and optimize outcomes without a single ticket. 

They’re not reckless. They’re not cowboys  

They’re simply operating at the speed technology now enables, constrained only by strategy and judgment rather than structure and process.  

This is what Positionless Marketing means: Wielding Data Power, Creative Power and Optimization Power simultaneously. Not because you’ve eliminated everyone else, but because technology eliminated the dependencies that once made those handoffs necessary. 

And here’s what most people miss: This isn’t just about speed. It’s about potential 

When marketers were constrained by assembly-line marketing infrastructure, their job was to manage the line. Write the brief. Coordinate the teams. Navigate the approvals. Wait for each station to finish its work. The marketer’s skill was project management. Their value was orchestrating others. 

Now? Your job in marketing has changed entirely 

Your job is no longer to manage process. Your job is to enable potential. To help every person on your team (and yourself) realize what they’re capable of when the constraints disappear. To show them that the data they’ve been waiting for is accessible now. That the creative they’ve been briefing can be generated instantly. That the campaigns they’ve been coordinating can be orchestrated autonomously.  

Teach people to think outside the box by showing them there is no longer a box 

The data analyst who only ran reports can now build predictive models and operationalize them in real time. The campaign manager who only coordinated handoffs can now design, test and optimize end-to-end journeys independently. The creative strategist who only wrote briefs can now generate and deploy assets across every channel. 

This is the revolution: not that technology does the work, but that technology removes the barriers that prevented people from doing work they were always capable of. 

The misfits and rebels of 1997 saw possibilities where others saw limitations. They refused to accept that things had to be done the way they’d always been done. 

The Positionless Marketers of today are doing the same thing 

They’re refusing to wait when customers need action now. They’re refusing to accept that insight takes weeks when platforms deliver it in seconds. They’re refusing to operate within constraints that technology has already eliminated. 

They’re thinking differently. Not because they’re trying to be difficult. But because the old way of thinking no longer matches the new reality of what’s possible. 

In 1997, Apple told us: “The people who are crazy enough to think they can change the world are the ones who do.”  

In 2025, the people crazy enough to think they can deliver personalized experiences at scale, launch campaigns in hours instead of weeks, and operate without dependencies are the ones who will. 

The constraints are gone. 

The assembly-line marketing box can no longer exist. 

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Google Search Console performance reports adds weekly and monthly views

Screenshot of Google Search Console

Google added weekly and monthly views to Search Console performance reports. These options give you clearer, longer-term insights instead of relying only on the 24-hour view.

What it looks like. Here are a few photos I took during the announcement at the Google Search Central event in Zurich this morning:

Why we care. This small update gives SEOs, publishers, and site owners access to more detailed data. It can help you pinpoint why your performance shifted in a specific month, week, or day.

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Judge limits Google’s default search deals to one year

Google is being forced to cap all default search and AI app deals at one year. This will end the long-term agreements (think: Apple, Samsung) that helped secure its default status on billions of devices. Just don’t expect this to end Google’s search dynasty anytime soon.

Driving the news. Judge Amit Mehta on Friday called the one-year cap a “hard-and-fast termination requirement” needed to enforce antitrust remedies after his 2024 ruling that Google illegally monopolized search and search ads, Business Insider reported. In September, Mehta ruled on Google search deals:

  • “Google will be barred from entering or maintaining any exclusive contract relating to the distribution of Google Search, Chrome, Google Assistant, and the Gemini app. Google shall not enter or maintain any agreement that
    • (1) conditions the licensing of the Play Store or any other Google application on the distribution, preloading, or placement of Google Search, Chrome, Google Assistant, or the Gemini app anywhere on a device;
    • (2) conditions the receipt of revenue share payments for the placement of one Google application (e.g., Search, Chrome, Google Assistant, or the Gemini app) on the placement of another such application;
    • (3) conditions the receipt of revenue share payments on maintaining Google Search, Chrome, Google Assistant, or the Gemini app on any device, browser, or search access point for more than one year; or
    • (4) prohibits any partner from simultaneously distributing any other GSE, browser, or GenAI product search access point for more than one year; or (4) prohibits any partner from simultaneously distributing any other GSE, browser, or GenAI product.”

Why we care. A more fragmented search landscape means user queries could start anywhere. If AI-powered rivals like OpenAI, Perplexity, or Microsoft make even small gains in search, you’ll face a broader and more complicated world to compete in.

Reality check. This is a speed bump, not a shake-up. Google’s cash, brand power, and user habits still give it a big edge in yearly talks.

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Google denies ads are coming to Gemini in 2026

AdWeek reported that Google told clients it plans to add ads to its Gemini AI chatbot in 2026, but Google’s top ads executive is publicly denying it.

Driving the news. Google reps reportedly told major advertisers on recent calls that Gemini would get its own ad placements in 2026, according to Adweek. This is separate from the ads already running in AI Mode, the AI-powered search experience Google launched in March.

  • Buyers said they saw no prototypes, formats, or pricing.
  • They described the conversations as exploratory and light on technical detail.

Google says that’s wrong. Dan Taylor, Google’s VP of Global Ads, disputed the report directly on X, writing:

  • “This story is based on uninformed, anonymous sources who are making inaccurate claims. There are no ads in the Gemini app and there are no current plans to change that.”

Why we care. Advertisers are watching closely for monetization inside AI assistants, which many see as the next major ad frontier. Conflicting signals about ads in Gemini hint at where Google may take AI monetization, even as the company denies any immediate plans. Any move to add paid placements to a high-engagement chatbot could reshape budgets, shift user behavior, and create a new ad surface separate from search.

Between the lines. There is a great debate over whether AI chatbots should stay pure utility tools or evolve into new ad surfaces. Even early speculation about ads inside Gemini is already prompting agencies to start planning.

What’s next. For now, Google says Gemini is still ad-free. But rivals are already testing ways to make money from AI, and advertisers are eager for new places to run ads. The debate over ads in Gemini isn’t going away – only the timeline is shifting.

Adweek’s report. EXCLUSIVE: Google Tells Advertisers It’ll Bring Ads to Gemini in 2026

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Google Shopping Ads now show merchant location labels

Google Local Services Ads vs. Search Ads- Which drives better local leads?

Google is quietly testing a new way to make Shopping ads feel more local. Select ads using local inventory feeds now display the merchant’s city or town directly above the product title — think “London” or “Tonbridge” — giving shoppers a clearer sense of where the store is based.

Why we care. The new location labels make Shopping ads feel more local and trustworthy, helping nearby retailers stand out in crowded results. Clear city or town indicators can increase click-through rates and drive more in-store visits from shoppers who prefer buying close to home.

It also gives merchants using local inventory feeds a competitive edge by highlighting proximity without needing new ad formats or extra setup.

How it works. The label appears within Shopping ads that already use local inventory data. It joins existing formats like:

  • In-store
  • Pickup later
  • Curbside pickup

But unlike those, this label focuses purely on the store’s location, not fulfillment options.

The catch. Google hasn’t officially announced the feature. Details on rollout, eligibility, and technical requirements remain unknown.

Between the lines. Merchants using local inventory feeds may get a visibility boost if they operate in recognisable or high-trust locations. For users, it’s another nudge to choose nearby retailers over marketplace or long-distance sellers.

First seen. This update was spotted by PPC News Feed founder Hana Kobzová.

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Google pushes deeper into lifecycle targeting with new GA audience templates

Google is expanding its customer lifecycle capabilities in Google Analytics, launching new audience templates and dynamic remarketing features designed to make high-value targeting and re-engagement easier for advertisers.

Driving the news. Google has introduced two new suggested audience templates in GA to help advertisers instantly build lifecycle segments:

  • High-Value Purchasers — powered by purchase count or lifetime value, with Google adding a new LTV percentile field so marketers can isolate their top-tier customers.
  • Disengaged Purchasers — defined by days since last purchase, giving Google a built-in way to help brands re-engage lapsed buyers.

Google designed these templates to sync directly with Google Ads customer lifecycle goals, including high-value new customer acquisition and re-engagement modes.

Google’s next move: dynamic remarketing inside GA. Google is also bringing display dynamic remarketing directly into Analytics, letting brands show personalized product-based ads to past site visitors without needing to build remarketing setups externally.

Once advertisers implement Google’s recommended eCommerce event collection, Analytics will automatically share dynamic remarketing data with linked Google Ads accounts — as long as personalized advertising is enabled.

Why we care. Google is making it much easier to target the customers who matter — high-value buyers and lapsed purchasers — without building complex audiences from scratch. These new templates and dynamic remarketing tools create faster, smarter ways to drive acquisition, retention, and repeat purchases directly from Google Analytics.

Google is giving you more precise lifecycle targeting with less manual work, and that can translate directly into better performance and more profitable campaigns.

The big picture. Google is tightening its ecosystem, giving advertisers more automated ways to identify, activate, and re-engage customers — all fueled by audience intelligence built inside Google Analytics.

The bottom line. Google is doubling down on lifecycle marketing by turning Google Analytics into an even stronger audience engine for Google Ads.

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Google adds Search Partners segment to PMax reporting

Auditing the Performance Max black box: A strategic approach

Google rolled out a long-awaited Performance Max (PMax) reporting upgrade, giving advertisers their first clear look at how Search Partners affect campaign results.

Driving the news. The update is now live in Google Ads and adds Search Partners to the PMax channel performance tables. Advertisers can now see:

  • How Search Partners contribute to PMax results.
  • Whether they add incremental value.
  • How their performance compares with other PMax channels.
  • Total spend going to Search Partners.

What’s changing. The added transparency shows how PMax spreads budget across channels – especially in search – and helps confirm whether Search Partners traffic is profitable or pulling down efficiency.

Why we care. Search Partners activity has long been hidden inside PMax, making it hard for advertisers to see where spend was going or gauge its impact, but the new reporting line finally brings visibility to this opaque slice of search inventory. With that clarity, teams can assess incremental value, compare performance against other PMax channels, and make smarter optimization and budgeting decisions. In short, you can now measure spend that was previously invisible, and that insight can directly influence performance and profitability.

The big picture. The update may look small, but it’s a meaningful step toward unpacking how PMax works. For accounts running PMax at scale or analyzing profitability by channel, isolating Search Partners data can shape optimization, budgeting, and broader strategy.

First seen. Google Ads specialist Aleksejus Podpruginas first spotted the update and shared it on LinkedIn.

Bottom line. PMax is finally revealing a missing piece of the puzzle, giving advertisers a clearer view of how Google’s automation spends their money.

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OpenAI hits pause on ChatGPT ads as CEO declares a ‘code red’

Code red

OpenAI CEO Sam Altman issued an all-hands “code red” to improve ChatGPT – a move that could delay the company’s advertising plans – according to an internal memo obtained by The Wall Street Journal.

Driving the news. Altman told employees the company must urgently improve ChatGPT’s personalization, speed, reliability, and ability to handle a wider range of questions.

  • Daily calls, temporary team reassignments, and a companywide push now center on one priority: make ChatGPT better, fast.
  • Nick Turley, who leads ChatGPT, said the team is focused on growing the assistant and making it feel “more intuitive and personal.”

Why now? Competition is catching up. The memo signals rising pressure on several fronts:

  • Google: Its upgraded Gemini model topped OpenAI on key benchmarks last month.
  • User growth: Gemini’s ecosystem jumped from 450 million monthly active users in July to 650 million in October, helped by new tools like the Nano Banana image generator.
  • Anthropic: Gaining ground with enterprise customers as the “safer, more predictable” LLM provider.

OpenAI is also facing heavy financial strain, with planned data center investments in the hundreds of billions, while the company remains unprofitable and reliant on constant fundraising. Internal forecasts suggest that OpenAI must get roughly $200 billion in revenue by 2030 to become profitable.

What’s getting delayed. To refocus on ChatGPT quality, Altman said OpenAI is pushing back work on:

  • Advertising initiatives.
  • AI agents for health and shopping.
  • A personal assistant called Pulse.

What’s next. Altman told staff a new reasoning model arriving next week is already outperforming Google’s latest Gemini release.

  • OpenAI previously declared a “code orange” over ChatGPT quality – part of an internal urgency scale (yellow → orange → red). GPT-5’s August launch drew criticism for feeling colder, being less helpful on simple tasks, and acting too cautiously. A November update made the model feel warmer and better at following instructions.

Why we care. It appears that OpenAI is pausing its rollout of ChatGPT ads to focus on product quality. That means advertisers hoping to use ChatGPT as an ad channel will have to wait longer.

Flashback. This isn’t the first code-red moment in the AI arms race. Google once issued its own “code red” because of OpenAI. In December 2022, after ChatGPT went viral, Google CEO Sundar Pichai declared a companywide code red, calling the chatbot an existential threat to Google Search. What followed:

  • Founders returned: Larry Page and Sergey Brin rejoined product meetings after years away.
  • Search overhauled: Google accelerated plans to add conversational features to Search.
  • Product surge: A leaked slide deck outlined 20+ new AI products and a demo of a chatbot-powered version of Search.

The report. OpenAI Declares ‘Code Red’ as Google Threatens AI Lead

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Google to sunset ads developer support forums in 2026

Google Ads B2B campaigns

Google will shut down three long-running Google Groups forums for advertising developers early next year as it moves all technical support into official channels.

Driving the news. Google will stop responding to new posts on Jan. 28. The forums will stay online as read-only archives until later in 2026, when Google plans to disable posting entirely.

After Jan. 28:

  • Support agents will no longer reply in Google Groups.
  • Replies to existing threads will create a new email ticket with Google support.
  • Existing content will remain available for reference, including past discussions and fixes.

The shift. Google said it’s consolidating support to “streamline technical support channels” and move developers toward official tools with better tracking and response workflows.

Where developers should go now. Google’s updated documentation now points to these official channels:

Why we care. These forums have long served as open Q&A hubs for developers, helping teams troubleshoot issues across the Google Ads API, Ads Scripts, and the Campaign Manager 360 API. With the forums going away, all troubleshooting will shift to official support, forcing developers to adjust workflows, share more detailed logs, and rely less on community-driven fixes. The way advertisers solve problems is changing, and preparation will help prevent downtime and lost performance.

What Google wants from developers. To speed up resolutions, Google urges developers to include complete diagnostic details when filing tickets, such as:

  • Google Ads API: request ID, full request + response logs
  • Ads Scripts: script name, customer ID, execution logs, UI error messages
  • CM360 API: profile/account IDs, API method, request + response logs
  • All products: clear issue description, expected behavior, repro steps, code snippets, and error messages

Community still has a home. Google points developers who want updates, events, or general discussion to its “Google Advertising and Measurement Community” Discord server, which is not tied to official support.

Bottom line. Google is shuttering its public troubleshooting forums in favor of standardized, direct support – a move that may streamline issue handling but could shrink the pool of community-shared knowledge over time.

Google’s announcement. Sunsetting Google Ads API, Google Ads Scripts, and Campaign Manager 360 API Developer Support Forums on Google Groups

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ChatGPT, Perplexity push deeper into AI shopping

AI shopping ecommerce

In the last 24 hours, ChatGPT and Perplexity have introduced new AI-driven shopping experiences that aim to deliver more personalized product discovery and guidance. Both experiences are meant to help users find, compare, and purchase products through conversational queries informed by preferences and past behavior.

ChatGPT

Shopping research. OpenAI introduced shopping research, a guided buying experience that turns ChatGPT into a personalized product researcher.

  • Users describe what they need (e.g., “quiet cordless vacuum,” “compare these strollers,” “gift for my art-obsessed niece”).
  • ChatGPT asks clarifying questions, pulls price/spec/review data from the open web, and produces a tailored buyer’s guide in minutes.
  • It adapts based on your preferences and ChatGPT memory, and can refine picks in real time as users mark items “More like this” or “Not interested.”

How it works. The feature runs on a specialized GPT-5 mini model optimized for shopping tasks, designed to pull reliable information from trusted sites and cite its sources.

Rollout. Available now on free and paid ChatGPT plans on web and mobile, with “nearly unlimited” usage through the holidays.

What’s next. Instant Checkout integrations will allow purchases directly inside ChatGPT for participating merchants.

Perplexity

New shopping experience. Perplexity launched a free U.S. shopping experience built around its core philosophy: AI assistants should scale a shopper, not replace them.

  • Users search conversationally (e.g., “best winter jacket for San Francisco ferry commute”) and Perplexity keeps context as you pivot to related needs.
  • It remembers preferences (e.g., mid-century modern style, minimalist running gear) and tailors future product cards accordingly.
  • Instead of infinite scroll, it generates streamlined product cards with only the details tied to the user’s stated intent.

Integrated checkout. A partnership with PayPal brings fast, in-flow purchases with retailers remaining merchant of record. That means merchants still get customer visibility, handle returns, and maintain the relationship.

Why retailers may care. Perplexity said shoppers who go through a conversational funnel have higher purchase intent, and instant checkout reduces abandonment.

Availability. The new shopping experience is live on desktop and the web now, with iOS and Android apps rolling out in the next few weeks.

Why we care. AI assistants are an emerging channel for ecommerce. ChatGPT’s focus is deep research, while Perplexity’s is smooth discovery and built-in checkout. Both aim to become the starting point for shoppers’ buying journeys by making brand/product recommendations that appear personal and tailored to their preferences.

The announcements:

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