Karsten Weide (@KarstenW) header
Karsten Weide (@KarstenW) profile picture

AdTech consultant. Drive demand by making complex products easier to understand for buyers - and easier for sales teams to sell. Advisory, GTM, custom research.

San Francisco, CA
Joined June 2008
Photo by Karsten Weide (@KarstenW)Photo by Karsten Weide (@KarstenW)Photo by Karsten Weide (@KarstenW)Photo by Karsten Weide (@KarstenW)Photo by Karsten Weide (@KarstenW)Photo by Karsten Weide (@KarstenW)Photo by Karsten Weide (@KarstenW)Photo by Karsten Weide (@KarstenW)
Here are @WMediaResearch's Top 10 Trends in Advertising in 2026! 1. The Big Short: The Hidden Risks Lurking Beneath the Forecasts 2. There Will Be Blood: The Supply-Chain Shakeup 3. Honey, I Shrunk the Art Department: Gen-AI Taking Over 4. Advertising Wars: The Rise of AI Agents 5. Rules of Engagement: The Protocols Fueling the Agentic Era 6. No Country for Old Cookies: The New Identity Playbook 7. Measure for Measure: Can We Keep Up With Signal Loss? 8. The Verdict: The Post-Google Era Begins for the Open Web 9. The Day After Tomorrow: The Zero-Click Search Apocalypse 10. I, Agent: When Bots Buy - What Happens to Advertising? READ all 10 trends for FREE here: Everything Everywhere All at Once: The Advertising Revolution Of 2026 wmediaresearch.com/2025/12/0… Companies covered: @Adobe, @AdRoll, @Albertsons, @amazon, @AppLovin, @criteo, @Disney, @doubleverify, @epsilon, @Google, @humansecurity, @IABTechLab, @IndexExchange, @integralads, @Meta, @Microsoft, @MSAdvertising, @Novacap_HQ, @OpenX, @prebidorg, @PubMatic, @Rockerbox, @Sincera, @TheTradeDesk, @TikTok, @Yahoo.
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Amazon Advertising in Q3 2026: Growth Slowed Due to Calendar Quirks - Q4 Should Be Back to Normal Amazon's advertising business generated $19.6 billion in revenue in Q3, up 11% (12% ex-FX). Three timing anomalies weighed on growth. Meanwhile, the underlying business continues to expand its capabilities. The Calendar Explains the Quarter Prime Day moved into Q2 for most major markets, creating a headwind that Amazon estimates at roughly 8.5 percentage points for Q3 growth. The NBA made its Prime Video debut in Q2, with games returning only in Q4. Finally, a year ago, Amazon changed how it buys external search ads to drive more shoppers to its own search pages, where it earns more advertising revenue per visit. That boosted growth over the past year. But now that revenue compares to a quarter that had already seen the growth boost, depressing the overall growth rate. Q4 Sets Up Well Amazon expects advertising growth to return to the high teens, with Thursday Night Football, NBA on Prime and holiday shopping converging. Football is off to its best start ever on Prime Video, averaging 17.7 million viewers through six games, 16% above last year's full-season average. The NBA season-opening doubleheader drew more than two million U.S. viewers, more than double last year's full-season average. Amazon CEO Andy Jassy added that Prime Video now generates revenue at an annualized rate in the tens of billions of dollars and is profitable on its own. Advertisers looking for live sports at scale in a premium streaming environment should be pleased. Full-Funnel Gets Simpler Meanwhile, Amazon Ads is accelerating the development of its advertising platform. Amazon Ads Agent brings its full offering together under one AI-first platform, while Full-Funnel Campaigns combine sponsored ads, display, video and streaming TV into a single campaign. Advertisers provide a budget and duration, and Amazon's AI plans, executes and optimizes the rest. Smaller advertisers face a lower barrier to entry, while agencies can spend more time on strategy. Teams that pair the tools with clear measurement goals should get the most from them. Amazon Sits Close to the Purchase Amazon's Alexa for Shopping has reached more than 400 million customers over the past 12 months, with interactions up 570%. U.S. users spend 50% more per order than those who don't use it. A shopping assistant embedded in the purchase journey puts Amazon right next to consumer intent, exactly where advertisers want to be. I expect advertising formats within Alexa for Shopping to follow. Interestingly, Jassy said Amazon expects to work with "horizontal agents" such as ChatGPT, Claude and Grok. But Amazon would clearly prefer shoppers to use Alexa for Shopping on its own platform. So far, it has fought external shopping agents tooth and nail, blocking Muse and suing Perplexity. Cooperation may be coming, but Amazon will want to dictate the terms. @amazon, @AmazonAds, @PrimeVideo @OpenAI @perplexity_ai
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Karsten Weide retweeted
Following up on this post from yesterday - which has generated some strong public and private reactions. To understand the challenge here, it is helpful to have a sense of where AI Search is likely to wind up, and why this is a particularly difficult challenge for @Google I’m going to vastly oversimplify this: Start here: Traditional Search is a question with a SERP delivered with links, content and a load of paid advertising based on the content of that question. For example: “where is the best coffee shop near me?” Google has dominated this use case for decades and it’s a 200B+ annual revenue business. AI Search is a conversation that starts with a question that may seem similar to traditional search, but is different in 2 fundamental ways. First, the question contains much more memory and context, and 2nd - the AI Search product is specifically designed to continue the conversation and ultimately deliver a smaller set of better answers (or just one, executed by the AI). The same question asked of AI Search - “where is the best coffee shop near me?” Is transformed using memory and context into the following (massive oversimplification): The AI knows that I always travel with my dog. That I eat Gluten free. That I prefer Organic options. That I don’t like noisy environments because I’m usually working while I get coffee. My AI will almost certainly ask me follow up questions about whether I have the dog with me, am I with anyone, do I want coffee or am I also looking for gluten free snacks/food, etc. One can assume that the “query growth” @Google is talking about is at least in part driven by this dynamic. And yes, that kind of conversational “query growth” DOES ultimately lead to a more intent rich, qualified “moment” in the conversation - where a paid offer or ad can be presented. Conversational AI Search will ultimately consume search, because it is already a better product AND because that product gets better the more I use it…because..memory/context. So where does that lead us and why is it such a challenge in particular for Google? 1. The monetization model for conversational AI Search is not close to worked out - but the natural end state here is that a very qualified sponsored offer can be presented to the customer at the perfect moment, inside the conversation with disclosure that it is “paid/sponsored”. The primary challenge for anyone providing an AI search experience will be maintaining trust that the offer is the RIGHT offer, not the highest paying offer. (This is an entirely different post). As we move toward this future, AI search challengers like @OpenAI @sama @AnthropicAI @Muse etc can move aggressively toward an experience that is very lightly monetized with ads, or ad free in the short term, to win share (and the memory/context dynamic makes this share more durable) Google is in a pickle here, because every time they route a search from traditional SERP result into a conversational AI, they’re sending that user down a path that is far less likely to generate a paid click, and far more likely to provide a great consumer experience - which in simplest terms means they are choosing between share of consumer search in the future and dollars today. This, like so many economic problems is a kind of duration mismatch problem. That consumer is worth $2 to me on this search, and tens of thousands of future dollars and I have to balance the need for money today with the lifetime value of that searcher. If you believe (like I do) that AI Search/assistants will become the largest ad market ever created, every 1% of consumer search SHARE @Google cedes will be worth many billions of dollars of annually recurring, high margin revenue in the future. @sundarpichai @sama @satyanadella @finkd @alexandr_wang @thsottiaux @elonmusk Am I wrong about this?
In 2009, working at Yahoo, I oversaw Ad Marketplaces - which included management of the PPC advertising system. We had a terrible set of options. @Google had a better search engine, and was consistently eating our share of consumer search. The monetization load on Google search at that time was remarkably low - 1 ad per search max, often zero ads. Wall Street wanted revenue growth. Consumers wanted better search results. Advertisers wanted quality clicks. We chose Wall Street. There were times where we had so many ads on the page that zero organic search results showed above the fold. We sacrificed the search experience for revenue growth, in the face of a competitor whose experience was virtually un-monetized and clearly superior. We grew revenue from search at double digits rate, while share of search queries was steadily negative. There was another path, but the company lacked the fortitude to put the search experience and advertisers first. @Google @sundarpichai find themselves in a comparable situation today. @ChatGPT @claudeai @GeminiApp all provide better search experiences today with very light or zero ad load. And at the same time, @Google is making decisions that drive revenue growth at the expense of both the user experience AND the trust of advertisers - just at the moment where those constituents trust will be most important. Google was the company that always played the long game. In moments like these, we learn whether that’s because a monopoly on the best ad business ever built made it easy to do that, or if they’re really willing to make the hard tradeoffs that we weren’t at Yahoo back in 2009.
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Thank you, Admiral. Rest in peace. Make it so!
Legendary actor Sir Patrick Stewart, best known for his roles as Jean-Luc Picard in Star Trek and Professor X in X-Men, has died. He was 86.
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Google Q3 2026 Earnings: OpenAI could eventually do to Google what Google did to Yahoo Google has a $63-billion-a-quarter search business and a growing AI problem: people are submitting more queries, partly driven by the adoption of AI Mode in search, but those AI Mode queries earn less ad revenue than traditional search queries. In Q3, Google Search & Other Revenue grew just 12% to $63 billion, down from 19% in Q1 and 17% in Q2. (YouTube ads grew 9% to $11.21 billion, bringing total Google ad revenue to $82 billion.) Currency effects were the biggest drag, but AI Mode adoption by users was another, even though Google reported its fastest year-over-year search query growth in five years, So why is revenue growth slowing? The admission on the earnings call Chief business officer Philipp Schindler acknowledged that AI Mode's rapid growth hurt Search revenue growth because of "lower monetization". Google says AI Mode queries contain roughly three times as many words as traditional searches, revealing richer intent. Yet so far, they earn less per query. Google must turn that intent into ad revenue. Its response: AI Mode ads are expanding to 10 more countries, with Brazil, Mexico and the UK planned for Q4. In the U.S., Google is introducing multiturn ads, allowing advertisers to reach consumers as they ask follow-up questions in AI Mode. It's a step toward the conversational advertising model OpenAI has already built into ChatGPT, where ad selection considers the evolving context and intent of an entire conversation, not just each queries wording. Google claims sponsored product listings in AI Mode already achieve click-through rates similar to organic listings. In traditional search, top organic results generally outperform paid ads by a wide margin. But Google's claim covers product listings only, and it hasn't disclosed the actual CTRs. OpenAI is building the same business OpenAI has sold ChatGPT ads for eight months. It reached a $1 billion annualized ad revenue run rate in under 200 days, attracted more than 100,000 advertisers and now operates in 89 countries. In terms of AI adtech, ad formats and international expansion, Google is playing catchup. The big question: Will it willingly cannibalize traditional Search advertising to better compete with ChatGPT ads? If it won't, OpenAI could eventually do to Google what Google did to Yahoo. The open web pays the price for AI Google Network revenue from partner properties grew just 1% to $7.5 billion, while total Google ad revenue increased 11%. Google’s own network sales illustrate that AI Mode search generally sends fewer clicks to indy publishers, meaning fewer pageviews to monetize. Downstream from publishers, SSPs, ad networks and affiliate businesses feel the squeeze. My advice to advertisers: demand separate AI Mode reporting, find out how follow-up questions appear in search term reports, test with measurable budgets on both Google and ChatGPT and keep a holdout. @Google @OpenAI @YouTube
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RT @airgups23: Hey Marketing & Advertising Twitter! We're running a FREE session tomorrow on Synthetic Audiences with our friends at @Vurv…
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“An Open Internet is a particular marketplace design that recognizes that distributed power is safer than concentrated power. An Open Internet is a modern technologically powered marketplace of ideas.” Jeff is right. To begin with, a more diverse ad ecosystem means better advertiser-facing products, lower prices, and more effectiveness. But it is even more important for sustaining an open marketplace for ideas. An oligopoly of walled gardens undermines publishers and their ability to contribute to public debate. AI chatbots worsen this effect dramatically. Do we really want a world in which a handful of execs and product managers at just a couple of companies get to decide what is true? Hopefully, the imminent onslaught of open source LLMs will save us from that bleak dystopia. thecurrent.com/opinion/op-ed…
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If you are impressed by LLMs, wait until you see world models in the wild.
Today we're introducing Genie 4 — our newest interactive world model from @GoogleDeepMind 🌐
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FreeWheel: When Your Ad Server Moves In With Your Biggest Competitor FreeWheel, the video ad server used by many of NBCUniversal's rivals, is moving inside NBCU. Good for NBCU. But just like the Nielsen/DoubleVerify and Publicis/LiveRamp acquisition, it introduces a trust problem. When Comcast spins off NBCU and Sky in mid-2027, FreeWheel and Universal Ads will go with the media company. My friend John Ebbert’s Tipsheet broke the news, and FreeWheel confirmed it, arguing that closer alignment with NBCU will accelerate its mission. Why NBCU is the right home Comcast bought FreeWheel in 2014 for $360 million and kept it independent, serving Fox, Viacom, Discovery, Turner, DirecTV and NBCU itself. After the split, Comcast will focus on broadband and wireless, while NBCU retains NBC, Peacock and Sky – premium video inventory FreeWheel is built to monetize. Oh well! Like binge drinkers, every few years Telcos decide they don’t want to be just a dumb pipe anymore and want to get into the media business riding on top of it. They acquire a few companies, the business fails to get off the ground, they divest the acquisitions. Rinse, repeat a few years later. Owning the FreeWheel plumbing matters for NBCU because FreeWheel has been building and deploying infrastructure for AI agents in advertising. FreeWheel's Buyer Cloud, formerly Beeswax, already powers the agentic upfront optimization launched this month by Carat, NBCU and Newton. The catch is trust FreeWheel serves publishers competing directly with NBCU. Lionsgate selected it as exclusive ad server for nearly 30 FAST channels. Universal Ads launched with partners including Fox, Paramount, Warner Bros. Discovery and Roku, reaching 21 publishers by July. These companies compete with NBCU for the same advertising budgets. And yet, FreeWheel is moving from being NBCU's sister company to sitting under NBCU, under the very person, James Rooke, overseeing its TV networks and streaming business. If I was running Paramount, why would I trust that FreeWheel gives me the same quality of service that it gives NBCU? What NBCU should do The FTC's October 19 consent order on Publicis acquiring LiveRamp offers a useful benchmark: neutral access for competing customers, data firewalls with access logging, and independent audits every six months for two years. NBCU should adopt comparable safeguards voluntarily, before rivals renegotiate their FreeWheel contracts. If I ran ad sales at a competing broadcaster, I'd want written answers: Who at NBCU can access my deal and pricing data? Who audits that access? What remedies apply if confidential information leaks? Will NBCU commit to independent, published audits of FreeWheel's data firewall before the spin-off closes? @CaratGlobal, @comcast, @DIRECTV, @FOXTV, @FreeWheel, @FTC, @Lionsgate, @LiveRamp, @NBCUniversal, @nielsen, @paramountco, @peacock, @PublicisGroupe, @Roku, @SkyUK, @tipsheetai, @Verizon, @wbd.s
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Karsten Weide retweeted
Reading thru an ex-Google exec's deposition unsealed last night, these excerpts stopped me cold. Brings questions of IAB's independence, especially given its silence on Google's antitrust violations. And little hope it'll speak up about Meta's sweeping new commercial terms.
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NEW RESEARCH: The State of Supply-Side Intelligence: An OpenX Annual Trend Report 2026 The Supply-Side Targeting Revolution Is Here. The Data Proves It. Programmatic advertising is undergoing a fundamental transformation. Supply-side platforms (SSPs) are evolving from inventory marketplaces into sophisticated targeting and optimization engines, changing how advertisers buy media, how publishers monetize inventory, and where decisions are made across the programmatic supply chain. The State of Supply-Side Intelligence: An OpenX Annual Trend Report 2026 explores this revolution using four years of actual marketplace transaction data and interviews with senior advertising executives. Commissioned by @OpenX and conducted by W Media Research, this study provides a data-driven look at one of the most consequential transformations in programmatic advertising. Companies covered: @advancedtv, @Apple, @Google, @HorizonMedia, @IABTechLab, @jouncemedia, @OpenX, Polaris, @Sojern, @stagwell. Download the FREE report to explore the supply-side targeting revolution: wmediaresearch.com/portfolio…
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That's more than a quarter of all Microsoft employees.
Microsoft layoffs, last four years— Jan '23: 10,000 Jul '23: 1,000 Jan '24: 1,900 Jun '24: 1,000 May '25: 6,000 Jul '25: 9,000 Apr '26 - Retirement offer to 7% of US staff Jul '26: 4,800 Oct '26 - Buyout offer to 60,000 employees
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Interesting.
Cheers to @Gartner_inc for disclosing the investment changes and payment status behind otherwise random movements in the Magic Quadrant. Love to see it.
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Sixty thousand.
Microsoft is extending voluntary buyout offers to thousands of employees across several countries including the U.S. on.wsj.com/4ikcn7h
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Pinterest just opened its ad inventory to Amazon, Google and Yahoo's DSPs, three days before earnings. On Monday, Pinterest made Programmatic Deals generally available across the Americas and Asia Pacific. Buyers can now access display and video inventory through Amazon DVA+, Google DV360 and Yahoo DSP, with Magnite as the primary SSP. PMPs and preferred deals are live; programmatic guaranteed is in testing. Ad Revenue Grows, But Revenue per Impression Stalls In Q2, Pinterest grew ad impressions 16%. Ad pricing grew just 1%. Revenue rose 18% to $1.2 billion, but Q3 guidance calls for slightly slower growth of 13% to 15%. ("Ad pricing" is Pinterest's blended average price per ad: ad revenue divided by impressions, across every buying model (CPC, CPM and others) and every region. ) With 640 million monthly users and over 80 billion searches a month, Pinterest has plenty of engagement. Its challenge is getting advertisers to pay more for it. The quickest way to attract buyers is to plug into the platforms they already use. Most trading desks live in DV360 and Amazon. This distribution deal lets Pinterest tap into that ready-made demand. The international opportunity In Q2, Pinterest generated $8.30 in quarterly ARPU in the US and Canada, versus $1.35 in Europe and $0.23 elsewhere. Programmatic offers a relatively inexpensive way to monetize international users without building a sales operation in every market. My bet is that international markets offer the greatest upside. Curiously, Europe is absent from Monday's launch, despite management discussing third-party demand testing there on its Q2 earnings call. Winners, losers and risks Magnite is an obvious winner. Pinterest inventory is also available through Magnite Orchestration, its infrastructure for buyer and seller agents. Amazon benefits too. A Moroccanoil campaign bought through Amazon Ads and Magnite reportedly delivered 15% incremental reach, just 1% audience overlap and 63% more new-to-brand buyers. Company-reported figures, so to be taken with a grain of salt, but directionally compelling ones for media planners nevertheless. The Trade Desk is conspicuously absent from the named DSP partners. But the additional distribution comes with a price: Once inventory becomes accessible through multiple DSPs, buyers can compare their price and performance against other media. PMPs and preferred deals give Pinterest some control over pricing and access, but buyers will still demand competitive economics. Pinterest's advantage is its unusually strong intent signals. People use it to plan purchases, often before choosing a brand. Preserving the value of those signals will be critical. One thing to keep in mind: almost three quarters of Pinterest users are female, the cohort of 18- to 34-year-olds being the biggest sub-group. What I'll watch on October 29 Pinterest reports Q3 earnings Thursday after the close. I'll be watching three things: whether ad pricing accelerates beyond low single digits, how much third-party demand contributes, and when Europe joins the programmatic rollout. @AmazonAds, @Google, @magnite, @Pinterest, @TheTradeDesk, @Yahoo
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Never has my voting been that much fun, that fast, and so well-informed. I am using Grok to learn about the background of all candidates, especially the judges.
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Walmart Connect Is Grading Its Own Homework @Walmart Connect has found a new way to answer retail media's toughest question: Did my ads work? It asks itself. Walmart's sales team is approaching brands directly ahead of the holidays, bypassing agencies to offer brand lift studies. Eligibility depends on spend, results can take nine weeks, and brands can't run the studies themselves. The Timing is the Strategy Q4 is when brands finalize budgets and CFOs demand proof that advertising works. Walmart is offering that proof. Why Bypass Agencies? Agencies are paid to be skeptical. They ask about holdouts, methodology, and whether shoppers would have bought the product anyway. Better to bypass that hurdle. Going direct also shifts control of the relationship. If Walmart becomes the authority on whether Walmart advertising works, agencies risk becoming order-takers. Grading Their Own Homework With Walmart's advertising business growing 38% last quarter, performance scrutiny was inevitable. How to manage that scrutiny? The answer: Better to shape the test yourself than failing someone else's. The only fly in the ointment: If every retail network grades its own homework, retail media measurement will resemble reviews on hotel websites: glowing, selective, and hardly independent. Credit Where Credit is Due Don't get me wrong: Walmart deserves credit for offering lift studies. Even if there is potential for bias, a brand lift study is better than none. However, things could be so much better. The solution: Third-party access to clean rooms, advertiser-controlled holdouts, and transparent methodologies. Walmart has the scale to establish that standard. It could open its data to independent incrementality testing and dare @AmazonAds to follow. Now that would be a competitive advantage. Until then, take the Walmart study. Read it closely, and remember who wrote it. digiday.com/marketing/walmar…
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