Category: News

  • 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.


    Inspired by this post on Search Engine Land.


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  • Google’s New Consent Update: A Simplified Guide for Marketers

    Google’s New Consent Update: A Simplified Guide for Marketers

    I recently discovered that Google is making significant updates to Analytics and Ads consent rules, which are set to take effect this June. This change will prioritize user permission as the key factor in how ads collect and utilize data.

    Starting June 15th, the process of data collection in Google Ads will now rely exclusively on the ad_storage consent setting. This alteration removes the previous layer of complexity that came from linked Google Analytics configurations.

    Previously, the flow of ad data between Analytics and Ads was governed by both Consent Mode and Google Signals settings within Google Analytics. This often led to confusion among marketers like myself, as many controls were hidden deep within the Analytics settings, rather than clearly visible in consent banners or tag implementations.

    Moving forward, Google is streamlining the process. While Google Analytics data collection will still use Google Signals, Google Ads will now focus solely on whether users have consented to ad_storage.

    This means that a linked Google Analytics tag will no longer influence Google’s ability to collect or use advertising identifiers.

    The new update offers a cleaner, albeit more rigid, consent framework. If ad_storage consent is given, Google Ads can use all available advertising signals, including linking activity to a user’s signed-in Google account when feasible. If denied, Google will only utilize less persistent signals such as URL parameters like gclid.

    This change substantially reduces ambiguity—marketers will have a clearer understanding of what drives ads data collection, with fewer options to customize what gets shared.

    The primary concern here is that this adjustment makes consent settings more significant for measurement, attribution, and audience targeting. From June, whether Google Ads can leverage identifiers will depend largely on the ad_storage signal, highlighting the importance of correct consent mode setup for optimal campaign performance data.

    The update simplifies some of the complexity hidden in linked Google Analytics settings, providing advertisers with more defined rules but less flexibility.

    This move by Google underscores a broader strategy to enhance the understanding of consent systems for both advertisers and regulators. Having a single source of truth for ad consent could minimize implementation errors and simplify compliance explanations, but it also demands that brands ensure their Consent Mode is accurately configured.

    Should consent updates be delayed or improperly configured, marketers might face gaps in measurement, attribution, and audience targeting.

    Marketing teams need to take action before the June deadline by auditing their consent implementation. We should verify that Consent Mode update calls are firing correctly, and that ad_storage settings reflect users’ choices precisely. Brands with Google Signals disabled should be especially vigilant, as they could witness more Ads-linked data under the new setup if users allow ad consent.

    The takeaway is clear: streamlined rules are on their way, but getting consent right will be more critical than ever.


    Inspired by this post on Search Engine Land.


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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.


    Inspired by this post on Search Engine Land.


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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.


    Inspired by this post on Search Engine Land.


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  • Google Ads Unveils Robust Merchant API Before Content API Exit

    Google Ads Unveils Robust Merchant API Before Content API Exit

    I recently discovered some exciting news that Google Ads has introduced a more robust Merchant API. This new API is crafted to offer advertisers scalable and feature-rich tools for handling product data, especially as we prepare for the shutdown of the Content API for Shopping.

    Google is steering us toward a more modern, scalable infrastructure for Shopping integrations. This shift brings cutting-edge capabilities, including AI tools, directly into our scripting workflows.

    What’s happening: Starting April 22nd, Google Ads scripts will support the Merchant API. This change comes as we approach the August 18th retirement of the Content API for Shopping. This new API will be available as an Advanced API within the scripts editor while we can still use the Content API until its official sunset.

    What’s new: The Merchant API introduces a modular architecture, breaking down functionality into sub-APIs for quicker updates, easier maintenance, and fewer disruptions. This setup enhances capabilities with features like the Google Product Studio API for generative AI, APIs dedicated to product and store reviews, and a Notifications API for real-time updates.

    Additionally, we now have more control over data management. This includes handling supplemental product data, managing local and regional inventories, and running promotions—all within an omnichannel system while still supporting our legacy setups.

    Why it matters: The Merchant API provides a more flexible approach to managing product data at scale. It’s especially beneficial for complex or omnichannel setups and introduces new capabilities like AI-driven content tools that can boost feed quality and performance. With the imminent retirement of the Content API, transitioning to this new system is crucial to avoid disruptions and maintain competitiveness.

    Yes, but: Switching to the new API requires adjustments, particularly for those of us with custom scripts or complex feed setups tied to the legacy API.

    Bottom line: For those of us using scripts, this is our chance to upgrade to a more powerful and scalable integration, enabling new features while future-proofing our Shopping workflows before the cutoff date.

    Dig deeper: Merchant API is coming to Google Ads scripts starting April 22, 2026


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  • Simplified Google Ads Conversions for Accurate Tracking

    Simplified Google Ads Conversions for Accurate Tracking

    I’ve got exciting news from Google Ads! They’re making our lives a lot easier by simplifying the process of enhanced conversions into one convenient toggle switch. This means I can now enjoy more accurate conversion tracking with minimal setup effort.

    Google is streamlining one of its key measurement tools by merging enhanced conversions for web and leads. By doing so, I can utilize multiple data inputs simultaneously, offering me more precise tracking with fewer hurdles.

    What’s happening. Google Ads is consolidating its enhanced conversions into a single system. The best part? I no longer have to choose just one implementation method!

    I can send user-provided data through various channels like website tags, Data Manager, and API integrations all at once. The prior separation between ‘enhanced conversions for web’ and ‘enhanced conversions for leads’ is disappearing, saving me from unnecessary complexity.

    What’s changing and when: By June 2026, Google Ads is allowing the intake of user-provided data from website tags, Data Manager, and API connections. This collective approach is set to enhance conversion accuracy and boost bidding performance.

    The switch to a single feature with an easy toggle removes the need for me to fuss over method selection like tag vs API.

    Why I care. This update is a game-changer for conversion tracking during a time when data signals are vanishing. By utilizing multiple data sources, Google Ads can match conversions more precisely, which boosts my bidding efficiency and campaign successes. It also removes the technical obstacles, giving me seamless access to better data without needing to stick to one integration method.

    Impact on advertisers. No action is required from me or any existing users if the customer data terms have already been agreed to. New users have the flexibility to enable enhanced conversions at both the account and individual conversion action levels, with the option to opt-out at the conversion action level if needed.

    How to enable it (quick take). At the account level, I’ll simply go to Goals → Settings, enable enhanced conversions under Customer data use, and accept the data terms. For individual conversion actions, I can set up or edit a conversion action, enabling enhanced conversions during the process and agreeing to data terms.

    Yes, but. To leverage enhanced conversions, I must agree to Google’s Data Processing Terms and ensure I’m complying with its expanding use of first-party data, a crucial step today.

    Bottom line. Google is quietly pushing for broader adoption of user-provided data by making setup simpler. For me, this means improved performance with less manual input. I’m getting richer conversion data feeding into my bidding strategies and optimizations, and I can achieve greater results while simplifying my overall measurement strategy.


    Inspired by this post on Search Engine Land.


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  • Unlocking Google Discover: Insights for Maximizing Visibility

    Unlocking Google Discover: Insights for Maximizing Visibility

    I recently delved into the intricate world of Google Discover, uncovering how its 20 pipelines and 42 million cards shape the landscape for publishers. This exploration reveals how trends, news, videos, and advertisements flow through the digital pipelines, achieving broadcast-level reach for some content.

    Metehan Yesilyurt’s SDK analysis brought the pipeline names to my attention, and I meticulously collected data over three months to decipher each pipeline’s function—including volume, reach, timing, and dominance. Let’s dive into what the examination of 42 million cards reveals about Discover’s inner framework.

    ```json
{
  "alt": "Flowchart illustrating Google Discover's 20 decoded pipelines featuring core stacks, news tiers, trend detection, and more.",
  "caption": "Dive into the intricacies of Google Discover with its 20 decoded pipelines, showcasing everything from universal content selection to personalized feeds.",
  "description": "This detailed flowchart decodes Google Discover's 20 pipelines, spanning core stacks like content and moonstone, news tiers for breaking headlines, trend detection strategies, and geographic targeting. It includes niche vertical content, social and video cascades, personalization tactics, and commercial integrations such as shopping inspiration and feed ads. Each segment highlights reach and visibility metrics, reflecting a comprehensive overview of content distribution dynamics within Google Discover."
}
```

    Our journey took three months (December 2025 – February 2026), where I analyzed real Discover feeds from hundreds of devices. The result was the analysis of 42 million feed cards intricately linked to their selecting pipelines.

    ```json
{
  "alt": "Bubble chart showing pipeline map of freshness versus reach with colored categories.",
  "caption": "Explore the dynamic pipeline map where freshness meets reach. Colored bubbles represent various categories, illustrating the balance of article age and reach percentage.",
  "description": "This bubble chart illustrates a pipeline map comparing freshness (median article age) against reach (%). Each bubble's color corresponds to a specific pipeline family, such as news, social, or personalization, and sizes depict daily URLs. Notable categories include 'neoncluster,' 'moonstone,' and 'shoppinginspiration.' This detailed visualization assists in analyzing how recent content impacts reach across different domains."
}
```

    This analysis built on existing knowledge from the SDK, as you might have encountered in Metehan’s SDK Analysis. My objective was to illuminate what each pipeline actively accomplishes—how much content it picks, how many devices view it, the pace at which it operates, and which publishers it highlights. That’s the story my data tells.

    ```json
{
  "alt": "Bar chart of top 20 categories by hits from Dec 2025 to Feb 2026, with 'content' leading at 34.2%.",
  "caption": "Content dominates the chart with 34.2% of hits, followed by feedads and aura. Discover the trends from Dec 2025 to Feb 2026.",
  "description": "This bar chart displays the top 20 categories by hits between December 2025 and February 2026. 'Content' leads with 34.2% of hits, followed by 'feedads' at 11.1%, and 'aura' at 8.7%. The chart uses a log scale for hits, providing a visual representation of data trends. Ideal for understanding market focus and engagement over the measured period."
}
```

    Four metrics were computed for every pipeline:

    ```json
{
  "alt": "Infographic depicting three stages of content reach and growth on YouTube from Dec 2025 to Feb 2026.",
  "caption": "Exploring content growth: From creator content to neoncluster, discover how reach and engagement amplify through different stages on YouTube.",
  "description": "This infographic illustrates the growth of content reach and engagement in three stages: creatorcontent, freshvideos, and neoncluster. It details social intake, video amplification, and broadcast endpoint metrics on YouTube from December 2025 to February 2026. It shows reach percentages, median age of content, and growth multiples (7.8x, 7.2x, 18.2x), highlighting a shift towards a 100% YouTube video format as each stage progresses. It serves as a visual explanation of content amplification and reach enhancement workflows."
}
```

    • Reach — the percentage of devices showing each URL daily
    • Speed — the median age of articles when they appear
    • Exclusivity — the percentage of URLs exclusive to the pipeline
    • Volume — the portion of the total feed

    ```json
{
  "alt": "Bar charts showing AI overview penetration in Google Discover and top sources by percentage from Dec 2025 to Feb 2026.",
  "caption": "AI-generated summaries dominate Google Discover pipelines, with 'discover_ai_summary' leading at 100% penetration, showcasing a shift toward automated content.",
  "description": "This infographic presents data on AI overview integration within Google Discover from December 2025 to February 2026. The 'discover_ai_summary' pipeline is fully penetrated by AI overviews at 100%, followed by 'mustntmiss' at 28.3%. The charts also list the top sources of AI overviews, with Reuters leading at 6.3%. The visualization provides insights into the growing role of AI summaries in digital media distribution."
}
```

    Visually explore all 20 pipelines: Open the interactive explorer →

    ```json
{
  "alt": "Heatmap showing systematic exclusion in EPL terms across various categories from Dec 2025 to Feb 2026.",
  "caption": "A detailed heatmap reveals systematic exclusion within Premier League terms, with data showcasing trends from December 2025 to February 2026.",
  "description": "This image presents a log-likelihood heatmap analyzing systematic exclusion of English Premier League (EPL) terms across different categories like Freshvideos, Astra, and Mustwatchx during Dec 2025 to Feb 2026. The map displays varying levels of exclusion with a scale from over-representation (+700) to under-representation (-1500). Data on 33 cells shows 29 instances of exclusion with an average log-likelihood of -356, highlighting significant under-representation trends."
}
```

    Diving deeper, many believe Discover operates on just one recommendation algorithm. However, our results tell a different tale—a sophisticated system with six layers, each with its unique logic, pace, and audience.

    ```json
{
  "alt": "Heatmap displaying percentage of domain hits from various pipeline families for top 30 domains.",
  "caption": "Explore the vibrant heatmap showcasing domain hit percentages across content categories for leading websites.",
  "description": "This heatmap illustrates the percentage of domain hits from different pipeline families for the top 30 English domains. Categories like content, news, and social are shown using color gradients from yellow to red, indicating varying levels of engagement. Key sites include youtube.com, theguardian.com, and techradar.com. The sidebar provides a color scale indicating the percentage range."
}
```

    The six layers include:

    ```json
{
  "alt": "Chart showing domain dominance by pipeline for December 2025 to February 2026, including categories like core, social, commercial, and others.",
  "caption": "Explore the domain dominance trends from December 2025 to February 2026. Discover which sites lead in core, social, commercial, and other categories.",
  "description": "This visual chart presents domain dominance by pipelines for the period of December 2025 to February 2026. It categorizes domains into core, social, commercial, and niche among others. Top-performing domains include youtube.com, theguardian.com, and bbc.co.uk. The visualization highlights the share of visibility by each domain, offering insights into digital presence across various categories. A total of 14 pipelines are analyzed with the dominant share marked for quick reference."
}
```

    1. Core editorial — various content types leading with editorial consistency.
    2. News urgency — swift distribution of must-see news content.
    3. Trends — pipelines dedicated to detecting and maintaining trends.
    4. Local/geo — focusing on geotargeted stories and content.
    5. Social/video — elevating YouTube video content into prominence.
    6. Commercial — enhancing advertisements’ reach through platforms like YouTube.

    In my exploration, I found peculiarities unique to the English Discover feed, including a YouTube content journey expanding through three successive pipelines. This system brings significant amplification to the reach of content that passes through it.

    English Discover has also incorporated AI Overviews, an AI-generated summary, although this has been limited to English feeds only. Furthermore, a surprising revelation was the systemic under-representation of Premier League content across numerous pipelines, unlike other sports.

    In conclusion, the Discover ecosystem continually evolves. Observing these changes provides valuable insights into the system’s architecture and potential influential power for publishers.

    Data Source: 42 million Discover cards from December 2025 to February 2026. Analysis by 1492.vision with recognition to Metehan Yesilyurt for his work on Google SDK analysis.


    Inspired by this post on Search Engine Land.


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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.


    Inspired by this post on Search Engine Land.


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  • YouTube’s Bold Test: 90-Second Unskippable Ads Debut on TVs

    YouTube’s Bold Test: 90-Second Unskippable Ads Debut on TVs

    I’ve recently noticed YouTube inching closer to traditional TV-style ads, marking a significant transition that might just alter how we enjoy videos — and draw in bigger brand investments.

    What’s happening. For some TV viewers, ads are being stretched up to 90 seconds before they can skip, a major change from the recently introduced 30-second unskippable formats.

    How it works. These extended ad blocks are mostly appearing on TV devices, sometimes lasting over 90 seconds, with the option to skip only available after this initial period.

    Why we care. YouTube is tapping into more premium, TV-like ad inventory that facilitates longer, more engaging storytelling on our screens. This transformation creates opportunities for brands to run campaigns akin to those on traditional TV, but with the advantage of digital targeting and measurement. As Google dives deeper into connected TV, I foresee a potential shift in budgets towards YouTube as an essential channel for reach and brand prominence.

    Zoom in. Initial reports indicate that this format is not tethered to the length of the video, appearing on both shorter and longer content, and currently, it’s only affecting TV audiences, not mobile or desktop users.

    User reaction. The feedback I’ve come across has been mostly negative, with viewers lamenting these lengthy interruptions and considering alternatives such as ad blockers or third-party apps.

    Context. This test stems from YouTube’s recent aggressive monetization efforts, including the introduction of new ad formats and the launch of a lighter subscription tier that reduces ads.

    What to watch. I’m curious to see if YouTube will expand this format beyond TV and how they’ll manage the delicate balance between ad load and user retention.

    Bottom line. YouTube is embracing its identity as a TV platform, and longer, less skippable ads might be a part of this new package.


    Inspired by this post on Search Engine Land.


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