Category: Google

  • Advertisers Target Google in Billion-Dollar Mass Arbitration Move

    Advertisers Target Google in Billion-Dollar Mass Arbitration Move

    As I dive into the latest developments, it seems advertisers are preparing for a bold move to reclaim billions from Google through mass arbitration, sparked by illegal monopoly rulings against the tech giant.

    Google’s current situation is quite precarious. Its legal troubles concerning its search and ad tech sectors have reached a turning point, potentially leading to massive payouts to advertisers who are seeking monetary compensation after U.S. courts found the company guilty of illegally monopolizing key digital ad markets.

    Driving the news

    A growing coalition of advertisers is gearing up to file mass arbitration claims against Google. Attorney Ashley Keller has indicated that the first series of filings are expected imminently.

    I learned that Keller has already secured commitment from a significant number of advertisers, estimating potential claims related to online search and display advertising could surpass $218 billion, based on an economic analysis commissioned by his firm.

    These mass arbitration cases typically take between 12 to 24 months to resolve, marking a crucial period ahead.

    Catch up quick

    The year 2024 witnessed several antitrust verdicts dealt against Google. A federal court in Washington, D.C. found that Google had unlawfully monopolized online search, while another court determined that it had also monopolized parts of the ad tech infrastructure connecting advertisers with publishers. Google is currently appealing both decisions.

    Why we care

    For advertisers like us, this case holds the promise of recovering funds we overpaid for search and display ads due to Google’s alleged monopoly power. Mass arbitration not only empowers us but also might pressure Google into settlements, propelling a stronger stance for businesses than individual claims.

    The situation highlights a growing legal scrutiny of the digital ad market, potentially paving the way for increased competition and reduced costs for advertisers.

    Why arbitration matters

    Most of us cannot take Google to court directly since our contracts mandate arbitration for disputes. Traditionally, this favors gigantic firms when claims are processed individually. However, mass arbitration, which amalgamates 25 or more similar claims, shifts the advantage toward us, the claimants.

    Such a strategy increases settlement pressure, reduces legal costs for smaller enterprises, and empowers companies with modest individual claims to seek damages collectively.

    What’s new

    This case could pioneer new territory as mass arbitrations have largely involved consumers or employees, and not major corporations. A collective advertiser action against Google would be one of the initial significant attempts to employ this strategy for business-to-business disputes.

    What Google says

    In its recent submissions, Google acknowledged facing private damages claims linked to global antitrust cases, though it is reportedly unable to estimate potential losses yet. The company maintains that it has “strong arguments” and intends to defend itself forcefully.

    The bottom line

    Google’s antitrust setbacks are evolving from regulatory challenges into a direct financial threat. With advertisers now exploring whether mass arbitration can transform monopoly rulings into tangible payouts, the dynamic is set to shift significantly, possibly altering the digital advertising landscape.


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  • Google to Crack Down on Annoying Back Button Hijacking

    Google to Crack Down on Annoying Back Button Hijacking

    You have until June 15, 2026, to remove the back button code before Google starts taking action.

    I’ve just heard from Google about a new warning aimed at websites using back button hijacking tactics. These sites have been given a two-month deadline to remove or disable these sneaky techniques. If not, they risk facing manual spam actions or automated demotions in Google Search.

    Back button hijacking. Google explained that, when we click the back button in our browser, we expect to return to the previous page. Back button hijacking disrupts this expectation. Google elaborated:

    • “It occurs when a site interferes with a user’s browser navigation, making it impossible to use the back button to immediately return to the original page. Users might instead be redirected to pages they didn’t visit, shown unsolicited ads or recommendations, or otherwise prevented from browsing normally.”

    While Google once claimed this had no effect on search rankings, that’s changing in just a couple of months.

    June 15, 2026. From June 15, 2026, Google will start enforcing this action. Google emphasized, “We prioritize user experience. Back button hijacking interrupts the expected browsing journey and leaves users frustrated. People feel manipulated, and this makes them hesitant to visit unfamiliar sites.”

    Why now? Google has observed an increase in this type of behavior. “This is why we are marking it as an explicit violation of our malicious practices policy, which states:”

    • “Malicious practices create a mismatch between user expectations and the actual outcome, leading to a negative and deceptive user experience, or compromised user security or privacy.”

    Google is giving us a two-month notice to implement changes. “By providing this policy now, two months ahead of the enforcement date, we are offering site owners the time needed to make adjustments before June 15, 2026,” Google stated.

    Why this matters to me. If I’m using this technique, it’s crucial to remove it from my pages. I have a short window to make these changes before my website might face penalties or corrective actions.


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  • Google Revives Data Studio: A Central Hub for Data Analysis

    Google Revives Data Studio: A Central Hub for Data Analysis

    I’m excited to share that Google is bringing back Data Studio as a streamlined platform for analyzing marketing and business data across its ecosystem. It’s aimed at helping us easily delve into and act on the data that powers our daily decisions.

    Why the switch back? The new Data Studio will serve as our go-to central hub, encompassing a wide range of assets—from traditional reports and dashboards to advanced data applications created in Colab and BigQuery conversational agents. This single platform will enable us to access all the tools and insights essential for shaping our businesses.

    Looking back. Three years ago, Data Studio was merged into Google’s analytics efforts with a rebranding as Looker Studio. Now, Google’s responding to evolving customer needs by separating these products again.

    Two versions available. Google is introducing two variations of Data Studio:

    • Data Studio remains free for individuals and small teams seeking quick analysis and visualization capabilities.
    • Data Studio Pro is designed for larger organizations, providing enhanced security, compliance, management controls, and AI features. Licenses can be purchased through Google Cloud and Workspace admin consoles.

    Why it matters to us. This revamped Data Studio can significantly ease the process of gathering campaign, audience, and performance data from Google’s ecosystem into one place. This means quicker reporting, more straightforward analysis, and faster responses—often eliminating the need for analysts or engineering support for everyday tasks.

    Integrating Looker. Under the new setup, Looker will continue to be Google Cloud’s enterprise-level business intelligence platform, focusing on managed data, semantic modeling, and large-scale analytics. In contrast, Data Studio is geared towards more flexible personal exploration, ad hoc reporting, and accessible dashboards via services like BigQuery, Google Sheets, and Ads.

    What’s on the horizon. For those of us already using Data Studio, the transition should be seamless. Reports, data sources, and assets will automatically transfer without requiring any action on our part.

    Google plans to reveal more details about the relaunch and its expansive analytics strategy at Google Cloud Next ’26 later this month. I’m looking forward to discovering what’s next!

    Dig deeper. For more in-depth information, check out this article on the new Data Studio.


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  • Google Ads Shifts Focus: Performance Planner Changes

    Google Ads Shifts Focus: Performance Planner Changes

    As someone deeply invested in the world of digital advertising, I’ve noticed that Google is making a significant change. They’re moving away from impression-based planning and encouraging us to adopt more conversion-focused strategies.

    Recently, I learned that Google’s Performance Planner tool has refined its scope. They’re now emphasizing conversion-focused campaign types, leaving behind the traditional impression-based planning style.

    What’s happening? Last month, Performance Planner stopped supporting planning for Display and Video campaigns. This adjustment also means that metrics like impression share, top impression share, or absolute top impression share are no longer viable on their platform.

    Why this matters to us. This shift away from impression-focused planning affects how we forecast and optimize campaigns concentrated on brand awareness. Google’s push towards conversion-focused and automated strategies challenges us to rethink our approach to upper-funnel tactics.

    The bigger picture. It’s evident that Google Ads is prioritizing automation and performance-driven results. They are aligning their tools more with campaign types like Search, Shopping, App, Demand Gen, Local, and Performance Max.

    How it’s working now. We can continue using the Performance Planner for supported campaign types, but any plans that included Display or Video campaigns, based on impression share metrics, are no longer editable or viewable.

    What I’m watching. I’m curious about how we’ll adapt our planning and forecasting strategies for upper-funnel channels like Display and Video now that they lack native support in Google’s tools.

    Bottom line. Ultimately, Google’s focus on performance-driven planning means that impression-based strategies might soon be a thing of the past. It’s time to embrace the shift towards conversions.


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  • Explore Google’s New Developer Hub for Ad Tools and Insights

    Explore Google’s New Developer Hub for Ad Tools and Insights

    I’ve recently discovered some exciting news from Google that’s perfect for those of us who rely on their ad tools and measurement resources. Google has just launched a developer hub that’s set to make our tech-driven advertising tasks a lot smoother.

    The new Developer Hub centralizes everything into one easy-to-navigate destination, which promises to simplify our experience when building, automating, and scaling ad campaigns.

    What’s Happening. Google is introducing the Advertising and Measurement Developers Hub. This centralized site is designed to give us seamless access to an array of tools and resources across their ad ecosystem. Say goodbye to hunting for documentation in multiple places!

    The Hub organizes resources for products like the Google Ads API, Google Analytics, and publisher tools such as AdMob and Google Ad Manager into convenient categories including advertising, tagging, and measurement.

    How It Works. It features a streamlined homepage where I can quickly access documentation, blog updates, and community channels. Plus, there are dedicated sections to explore products, connect with support, and engage with Google’s developer relations team.

    Why We Care. For anyone deep into using Google’s tools, like me, this is a game-changer. The ease of access to advanced tools for automation, tracking, and optimizing campaigns can really boost efficiency. This new hub makes it nearly effortless to take advantage of Google’s robust ad tech ecosystem.

    The Big Picture. As our advertising efforts increasingly lean on automation and APIs, Google is bolstering the infrastructure to support developers and technical users managing complex integrations.

    Zoom In. New features I think are worth noting include a ‘meet the team’ section, a centralized support page with links to Discord and GitHub resources, and a media hub featuring content like Ads DevCast.

    What to Watch. It’ll be interesting to see if this hub becomes the go-to entry point for developers across Google’s ad products, especially as more AI and measurement tools roll out.

    Bottom Line. Google is betting big on developer support with this hub, anticipating that it will drive innovation and adoption within its ad tech ecosystem.

    Dig Deeper. For more details, check out the full story on the Google blog: Introducing the Google Advertising and Measurement Developers Hub!


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  • Google Completes March 2026 Core Update: What’s Next for SEO?

    Google Completes March 2026 Core Update: What’s Next for SEO?

    I recently learned that Google’s first core update of 2026 has finally wrapped up after a 12-day rollout. Now, it’s time to understand its impact and refine our content strategies accordingly.

    Google confirmed the conclusion of this update at 06:12 PDT through their Search Status Dashboard. The changes began on March 27, affecting search rankings globally.

    Google described this as “a regular update designed to better surface relevant and satisfying content for searchers from all types of sites.”

    Initially, Google estimated that the update would take up to two weeks, starting on March 27 and concluding on April 8, lasting exactly 12 days and 4 hours.

    This update was the first of the year following the March 2026 spam update and the February 2026 Discover update. Core updates generally result in noticeable changes in search results due to broad alterations to Google’s ranking systems.

    If you’ve been affected by these changes, it’s important to remember Google’s standing advice: drops in rankings are not necessarily indicative of issues with your site.

    Recovery is often tied to future updates rather than immediate fixes. Try to focus on creating helpful, reliable, and people-first content.

    Google suggests referring to its comprehensive core update guidance and helpful content guidance for more insights on improving your site’s performance.

    With the rollout complete, I can now evaluate its impact with greater confidence. It’s time to analyze changes in rankings and traffic, pinpoint key changes, and adjust our content to align with what this update favors.

    Here’s a brief timeline of recent core updates for reference:

    The December 2025 core update started on Dec. 12 and ended on Dec. 29.

    The June 2025 core update started on June 30 and ended on July 17.

    The March 2025 core update began on Mar. 13 and concluded on Mar. 27.

    The December 2024 core update started on Dec. 12 and ended on Dec. 18.

    The November 2024 core update was on Nov. 11 and ended on Dec. 5.

    The August 2024 core update was on Aug. 15 and concluded on Sept. 3.

    The March 2024 core update started on March 5 and ended on April 19.


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  • Discover Google’s New Universal Commerce Protocol Guide!

    Discover Google’s New Universal Commerce Protocol Guide!

    I’m thrilled to share that Google has launched a groundbreaking onboarding guide for its Universal Commerce Protocol (UCP). This new system marks a significant shift towards integrating seamless checkout experiences directly within search. It’s a game-changer for advertisers and merchants alike.

    Google is setting the stage for what they call ‘agentic commerce,’ where I can see purchases happening right in the AI-driven search moments. It’s all about making the buying process smoother and more intuitive for users like me.

    What’s happening. Google has unveiled a detailed onboarding guide for the Universal Commerce Protocol (UCP) in Merchant Center. This guide shows merchants how to integrate with UCP, which allows checkout directly from product listings in AI Mode and Gemini. I find this incredibly useful in streamlining my customer journey.

    The big picture. With AI search evolving into transaction facilitation, Google aims to keep users like me engaged by embedding shopping and checkout into conversational experiences. It’s all about keeping us within their ecosystem.

    How it works. Before jumping in, merchants need to complete a technical integration and submit an interest form. After getting approval, they can access onboarding tools in Google Merchant Center. This includes a testing sandbox, identity linking, and checkout APIs — tools that I find essential for successful integration.

    Why we care. Google’s move of aligning search closer to transactions means that I, as a user, might complete my purchases directly inside AI interactions rather than visiting separate websites. This could redefine how we measure, attribute, and optimize our advertising performance. Early adopters of the Universal Commerce Protocol could gain a competitive advantage as shopping becomes more integrated into AI tools like Gemini.

    Zoom in. The protocol acts as an open standard, connecting product data, user identity, and payment flows. I’m excited about making seamless purchases without any redirection to external sites.

    What to watch: The rollout is gradual and currently limited to the U.S. I should keep an eye out for a dedicated UCP integration tab appearing in Merchant Center accounts in the coming months.

    Bottom line. If widely adopted, the Universal Commerce Protocol could transform online shopping, making search a complete, AI-powered checkout experience. I hope to see this fully integrated soon.

    Dig deeper. To find out more about onboarding to the Universal Commerce Protocol, check out this guide in Merchant Center.


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  • How AI Ads are Revolutionizing Sales Growth for Brands

    How AI Ads are Revolutionizing Sales Growth for Brands

    I recently discovered that Google’s transition to AI-powered ads is transforming how brands engage with consumers, significantly boosting their performance in search results.

    Google claims these AI-driven advertising tools are yielding impressive outcomes, with some retailers reporting substantial increases in sales as Google continues to innovate the functionality of ads within AI-driven searches.

    The big picture. The anticipated disruption of Google’s search by AI chatbots like ChatGPT hasn’t happened. Instead, Google’s ad revenue continues to rise, illustrating that AI is enhancing search dynamics rather than replacing them.

    By the numbers:

    • Alphabet Inc. exceeded $400 billion in revenue by 2025.
    • Q4 ad revenue jumped 13.5% YoY to $82.28 billion.
    • YouTube ads saw a nearly 9% YoY climb, reaching $11.38 billion.

    What’s happened. Google is integrating ads into its AI-powered search features, such as AI Mode using Gemini, while unveiling ad formats tailored for conversational searches. A new ‘business agent’ initiative helps brands like Poshmark and Reebok manage their AI representation.

    Driving the results. Innovative campaigns, like Performance Max and AI Max, align ads with more nuanced conversational search intents. Google notes that AI Mode queries tend to be two to three times longer, providing better context and connecting users with fitting products. Aritzia, for example, has seen an 80% rise in revenue with AI Max.

    How it works. The AI system assesses a retailer’s website and creative assets, interpreting user intent from conversational searches. It matches products and messages dynamically and in real time, crucial as 15% of daily searches are entirely novel.

    Why we care. Google’s evolution from keyword-focused to intent-driven and AI-matched advertising enables more precise consumer engagement when they’re ready to purchase. As search becomes increasingly conversational, AI-powered ad formats are essential to stay competitive.

    Zoom in. Google is exploring new formats like ‘direct offers’ which personalize promotions when users show buying intent. Using Gemini, these trials with brands like E.l.f. Beauty, Chewy, and L’Oréal analyze conversational context and behavior.

    Commerce push. Google is advancing its commerce agenda with a Universal Commerce Protocol developed with Shopify, facilitating purchases directly within AI interactions.

    Yes, but. Google isn’t alone in exploring AI-driven search ads. Early results vary; Amazon reports limited success with its AI shopping assistant, and OpenAI and Perplexity AI are navigating their monetization strategies.

    What they’re saying. Google presents itself not as a retailer but as a ‘matchmaker,’ emphasizing how AI creates more relevant, personalized ads while allowing brands to control their message and foster user trust by displaying the right product at the perfect time.

    What’s next. Though Google has no immediate plans to insert ads directly into Gemini, it will continue enhancing ad offerings within AI Mode, focusing on personalized promotions and AI-driven shopping experiences.

    Bottom line. AI isn’t replacing traditional search; instead, it’s reshaping it. For Google, that means more conversational, targeted, and sometimes much more profitable advertising.

    Dig deeper. Curious for more insights? Discover how Google’s AI ads are achieving an 80% sales boost for some brands here.


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  • Can Google AI Truly Deliver Accurate Answers: A Closer Look

    Can Google AI Truly Deliver Accurate Answers: A Closer Look

    As someone who’s been closely observing AI advancements, I found Google’s AI Overviews to have improved significantly. By February, they correctly answered standard factual benchmarks 91% of the time, a notable rise from 85% back in October. This assessment came from a rigorous analysis conducted by The New York Times in collaboration with the AI startup, Oumi.

    Yet, considering Google processes more than 5 trillion searches annually, this still implies that millions of answers could be incorrect every hour. In essence, there’s much room for improvement.

    Why it matters to me. My interactions with Google have evolved from just link clicks to encountering AI-generated summaries. This evolution suggests that while AI Overviews have gotten better, they still mix accurate responses with poor sourcing and blatant errors, potentially misleading searchers and affecting visibility for many publishers.

    The nitty-gritty details. Oumi put 4,326 Google searches to the test using SimpleQA, a benchmark known for measuring factual precision in AI systems. AI Overviews hit a 91% accuracy rate post-upgrade to Gemini 3 from Gemini 2’s 85%.

    The more pressing issue for me is the sourcing. Oumi discovered that more than half of February’s correct responses were ‘ungrounded,’ meaning the linked references didn’t fully back the answers.

    This lack of grounding makes verification a challenge. Even if the answer is correct, the linked pages might not sufficiently illustrate the reasoning.

    What shifted. While the accuracy saw improvements from October to February, grounding declined. In October, 37% of accurate answers were ungrounded; by February, this figure increased to 56%.

    Real-world examples. The Times pointed out several inaccuracies: For instance, Google incorrectly dated when Bob Marley’s home became a museum. Google’s answer was 1987, but the actual year was 1986, and the cited sources conflicted. A search about Yo-Yo Ma and the Classical Music Hall of Fame yielded a link to the Hall’s site, yet Google stated he wasn’t inducted. Moreover, while Google got Dick Drago’s age at death right, it flubbed his date of death.

    Google’s standpoint: Google contested the Times’ findings, arguing that the benchmark used in the study was flawed and didn’t mirror actual search behavior. Google spokesperson Ned Adriance mentioned that the study had some ‘serious holes.’

    Furthermore, Google asserted that its AI Overviews utilize search ranking and safety measures to minimize spam and has consistently cautioned that AI responses might contain errors.

    The detailed report. If you’re interested in more depth, you might check the full report, How Accurate Are Google’s A.I. Overviews? (note: subscription required).


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  • Google’s TurboQuant Revolutionizes AI Search Speed

    Google’s TurboQuant Revolutionizes AI Search Speed

    As someone who closely follows advancements in technology, I was thrilled to learn about Google’s latest breakthrough with the TurboQuant algorithm. It’s designed to enhance the speed of vector searches, fundamentally changing the way we interact with AI-powered data searches.

    If you’re like me and value precision in data retrieval, this algorithm is exciting news. A tiny error-correction signal maintains compressed vectors’ accuracy, enabling AI systems to retrieve data more broadly and precisely than ever before.

    Google’s TurboQuant is a compression algorithm that can shrink and organize large AI datasets with nearly zero indexing time. This technology might just obliterate one of the major speed bottlenecks in modern search engines.

    What TurboQuant Is. For me, TurboQuant represents a monumental way of handling the data behind AI and search by keeping it compact without losing precision. It significantly reduces memory usage and cuts down the time to build searchable AI indexes almost to zero, according to Google’s research paper.

    How It Works. Modern search systems, which convert content into vectors, can be resource-heavy. These numeric representations cluster based on similarity, allowing searches to match the closest ideas. But let’s face it, these vectors are massive and expensive to store. That’s where TurboQuant steps in, using efficiently compressed data that mirrors the original extremely well through:

    Smart Compression. It rotates data mathematically, organizing it like neatly packed boxes, an image that resonates with how I like to visualize innovative data solutions.

    Error Correction. By introducing a 1-bit signal, it corrects minor compression mistakes, ensuring the data remains accurate, which is quite a comforting thought for anyone concerned about data integrity.

    What This Means. For those of us deeply engaged with AI, TurboQuant signifies a shift. Vector search systems, the backbone of semantic search and AI-driven answers, have traditionally been slow and costly. Google claims TurboQuant makes these operations quicker and more cost-effective, enabling faster similarity searching, lower memory consumption, and real-time processing of colossal datasets.

    Why It Matters to Us. Imagine Google being able to analyze far greater volumes of documents per query, not just a limited subset. Should Google implement this into its Search, AI Overviews could access a wider, more accurate range of sources, making instant summaries from large data sets far more accessible.

    More About TurboQuant:

    – Google: TurboQuant: Redefining AI efficiency with extreme compression

    – Research paper (arXiv): TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate

    – Marie Haynes: TurboQuant has the potential to fundamentally change how Search (and AI) works


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