Tag: Google Ads

  • Discover Google’s Innovative Conversational Ads in AI and Search

    Discover Google’s Innovative Conversational Ads in AI and Search

    I’m excited to share that Google is testing new conversational ad formats, powered by Gemini, across AI Mode and Search. This development is aimed at making ads more contextual and engaging, bringing a fresh approach to advertising.

    The introduction of these Gemini-powered formats was revealed at Google Marketing Live 2026. With these new ad experiences, ads are intended to feel more conversational, contextually relevant, and genuinely helpful to users like you and me.

    Driving the news: Google announced exciting additions to AI-powered Search ads. These include Conversational Discovery ads, Highlighted Answers, AI-powered Shopping ads, and the Business Agent for Leads. All these are part of Google’s strategy to integrate Gemini deeper into its Search and advertising framework.

    ```json
{
  "alt": "Smartphone screen showing Google AI mode with search results about reed diffusers.",
  "caption": "Exploring low-maintenance home fragrance options with Google AI, highlighting reed diffusers' benefits.",
  "description": "The image features a smartphone displaying Google AI mode, showing search results for home fragrance options. The highlighted text discusses the ease of using reed diffusers compared to other methods. The interface includes icons for browsing different media types like images, videos, and news. This visual represents modern tech-assisted conveniences for enhancing home environments. Keywords: smartphone, Google AI, reed diffuser, home fragrance."
}
```

    Conversational Discovery ads are really innovative! Imagine asking a question about making your home smell like a spa, and right there in AI Mode, you see creative solutions generated with Gemini that perfectly match your query.

    How it works: Google’s Gemini models analyze what you’re really asking and create ad content that fits the conversation. These ads come with an AI explainer that helps you understand the product or service better, integrating it with what the advertiser wants to tell you.

    ```json
{
  "alt": "Smartphone displaying a search result for learning Italian lessons.",
  "caption": "Discover bite-sized apps like Babbel to enhance your Italian conversational skills quickly and efficiently.",
  "description": "An image shows a smartphone screen with a Google search result regarding learning Italian. The search suggests using bite-sized apps, highlighting Babbel for real-life dialogues and understanding. The screen also displays options for AI mode, images, videos, and news. This image demonstrates a practical approach to language learning with technology, emphasizing quick and engaging methods for learners."
}
```

    I’m particularly intrigued by the Highlighted Answers, where relevant ads pop up right within AI-generated recommendations. It feels like a natural extension of the conversation!

    Additionally, Google is rolling out AI-powered Shopping ads for significant purchase decisions like buying a new TV or home appliance. Gemini steps in to create unique explainers that highlight why a product might be perfect for your needs.

    ```json
{
  "alt": "Smartphone displaying a Google search page with espresso pod machine ads.",
  "caption": "Browsing for the perfect espresso pod machine? Compare top models right from your search results!",
  "description": "Image shows a smartphone screen with Google search results for 'compact espresso pod machines.' Sponsored product ads feature models like Nespresso Vertuo Up, EF-750 SwiftPod Elite, and Rovetta Capsule Pro. Details include price, ratings, and location. The search options include filters like 'Nearby' and 'On sale.'"
}
```

    Business Agent for Leads takes interactivity to a new level by embedding an AI chat experience in lead generation ads. Instead of completing static forms, you can chat with a Gemini-powered agent to learn more, directly informed by the sponsor’s website.

    Moreover, Google is expanding its Direct Offers pilot, bringing features like promotion bundling, native checkout for UCP merchants, and AI-generated offer recommendations to the table. This ensures offers are tailored to what you might actually be shopping for!

    ```json
{
  "alt": "Smartphone screen displaying Google search results for top colleges, highlighting sponsored MBA programs.",
  "caption": "Searching for top colleges? Discover exciting MBA opportunities with sponsored listings in a Google search on your smartphone.",
  "description": "This image captures a smartphone screen showing Google search results for top colleges. The search focuses on MBA programs, highlighting sponsored results from institutions like Rainier Business School, Oakmont Business School, and Pacifica College of Commerce. Each listing provides program details such as rankings, scholarships, and application prompts. The interface is clean and user-friendly, emphasizing the educational opportunities available in 2026."
}
```

    Why we care: These updates represent a paradigm shift in how ads are rendered in AI-powered Search ecosystems. By focusing on conversational discovery and intent-rich interactions, I believe Google is paving the way for advertisers to better connect with their audiences.

    It’s crucial for advertisers, who adapt quickly to these new ad formats, to optimize experiences that resonate better, potentially gaining an edge as user search habits evolve.

    What to watch: As the rollout continues, I’ll be keeping an eye on how these conversational placements impact metrics like click-through rates and conversions. The broader implications for monetizing search with AI are enormous!

    For those wondering when they can see these innovations: Conversational Discovery ads and Highlighted Answers are currently in testing phases in the U.S. on both mobile and desktop platforms. Meanwhile, AI-powered Shopping ads and the Business Agent for Leads feature are expected to unfold soon, starting in open beta for U.S. businesses.

    Dig deeper: If you’re interested in more groundbreaking updates from Google Marketing Live 2026, check out these stories:


    Inspired by this post on Search Engine Land.


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  • Revamped Google Asset Studio Now Boosted by Gemini AI Tools

    Revamped Google Asset Studio Now Boosted by Gemini AI Tools

    Today, I’m excited to share that Google is making significant enhancements to Asset Studio, aimed at helping advertisers like us generate creative assets more efficiently by leveraging the power of Gemini. This was announced at Google Marketing Live 2026.

    Driving the news. Asset Studio will now feature AI-driven creation capabilities across text, images, and videos, allowing us to use natural language prompts to guide the process.

    Google assures us that the platform is capable of understanding:

    • Marketing briefs
    • Brand guidelines
    • Website content
    • Campaign goals

    By doing so, it generates creative assets that span different themes and formats, tailored to our needs.

    Additionally, Google is integrating the Gemini Omni, their multimodal model, into Asset Studio. This enhances our workflows, especially in video creation.

    With 1-Click Creative Testing, we can quickly identify top-performing assets in terms of campaign objectives. This means more efficient testing and better results for us.

    How it works. By applying Gemini models, Asset Studio interprets our marketing briefs, guidelines, and objectives. Using natural language prompts, we can generate and perfect our assets, whether they’re text, image, or video. Plus, Gemini Omni ensures our video workflows are seamless.

    The aim is clear: centralize creative production and minimize the challenges we face when building campaigns across platforms like Google and YouTube.

    Why we care. Creative production bottlenecks are a major issue for us advertisers. Google’s updates show that integrating generative AI into our workflows makes creative production much more streamlined.

    For those of us managing cross-platform campaigns, the ability to swiftly generate and test creative assets is a game-changer.

    What to watch. As we automate more of our creative processes, it’s important to compare the performance of AI-generated assets against those from traditional workflows. We might need to rethink approval processes and brand safety in light of AI’s growing role.

    Availability. We can expect the new Asset Studio features to become globally available in English this summer, opening up new possibilities for our advertising strategies.

    Dig deeper. There are more updates from Google Marketing Live 2026 that are worth exploring for additional insights and tools that could benefit our campaigns. For example:


    Inspired by this post on Search Engine Land.


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  • Unlock New Google Deals: AI-Powered Offers and Seamless Checkout

    Unlock New Google Deals: AI-Powered Offers and Seamless Checkout

    I’m excited to share that Google is enhancing its Direct Offers with AI-generated bundles, native checkout features, and enticing travel deals. This announcement, made at Google Marketing Live 2026, marks a significant upgrade for the platform.

    Driving the news. Google aims to make promotional offers more visible within AI-powered Search experiences.

    Brands will soon have the ability to upload a variety of promotional types:

    – Discounts

    – Giveaways

    – Local coupons

    – Product bundles

    Google’s Gemini will assist in creating personalized offers that align with search intent. This means tailored promotions based on user queries and browsing habits.

    How it works. Advertisers can upload eligible promotions and campaign guardrails through Google Ads. Gemini will then curate relevant offers like bundles and discounts that resonate with the shopper’s search and browsing behavior.

    Additionally, Google is introducing native checkout support for merchants using the Universal Commerce Protocol (UCP), enabling users to complete purchases directly within AI-driven shopping experiences.

    Travel partners such as Booking and Expedia will soon showcase travel offers directly within AI-assisted trip planning features, enhancing the overall travel booking experience.

    Why we care. This integration is transforming promotions into an integral part of conversational shopping, steering away from conventional deal extensions and static offers.

    Advertisers now need to optimize their promotions to fit within AI-powered discovery and recommendation systems.

    The introduction of native checkout options is expected to streamline the transition from product discovery to conversion, potentially boosting sales.

    What to watch. It’s worth observing how Google’s shift towards AI-assisted promotional commerce influences conversion rates and consumer shopping patterns.

    Availability. Currently, Direct Offers is available as a pilot for advertisers in the U.S.

    Dig deeper. Stay informed with more updates from Google Marketing Live 2026:

    Google tests new conversational ad formats in AI Mode and Search

    – Google launches AI Performance Insights and Conversational Attributes in Merchant Center

    Google brings Meridian marketing mix modeling into Analytics 360

    Google expands Demand Gen with YouTube creator tools

    Google upgrades Asset Studio with Gemini-powered creative generation and video tools

    Google expands Universal Commerce Protocol and launches new agentic shopping tools

    Google launches Ask Advisor across Ads, Analytics and Merchant Center


    Inspired by this post on Search Engine Land.


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  • Unveiling Google’s Ask Advisor: Revolutionizing Ad Management

    Unveiling Google’s Ask Advisor: Revolutionizing Ad Management

    I’m thrilled to share that Google has just unveiled Ask Advisor, a new AI-driven tool designed to transform the way we approach campaign management, analytics, and optimization. Announced at Google Marketing Live 2026, this Gemini-powered AI is here to integrate seamlessly across Google Ads, Google Analytics, Merchant Center, and the Google Marketing Platform.

    Making Waves. Ask Advisor is set to be a game-changer, acting as a unifying force that weaves together insights, workflows, and recommendations across Google’s vast marketing ecosystem.

    For those of us in marketing, this means we can launch campaigns, analyze performance, and uncover optimization recommendations all without having to juggle between different tools.

    Imagine asking Ask Advisor to “find new customers for my hair care products.” It would seamlessly pull details from the Merchant Center and assist in crafting a campaign right in Google Ads.

    Understanding the Process. Ask Advisor connects the dots between Google Ads, Analytics, the Merchant Center, and the Marketing Platform via a Gemini-powered interface. This connectivity allows it to access a range of data to create recommendations, automate tasks, and offer insights that align with marketing goals.

    It doesn’t stop there. The integration of insights from Google Ads and Google Analytics helps explain campaign performance and suggests subsequent steps.

    The aim, Google states, is to democratize advanced campaign management, enabling even those without extensive technical expertise to make the most out of their advertising strategies.

    ```json
{
  "alt": "Dashboard displaying performance overview with graphs and metrics, showing impressions, cost, and conversions.",
  "caption": "Explore insights with this performance overview dashboard, offering a detailed look at impressions, costs, and conversion metrics with dynamic graphs.",
  "description": "This image showcases a performance overview dashboard, highlighting key metrics such as impressions, cost, and conversion values. The interface features a line graph depicting trends over time, supported by a sidebar with options to manage campaigns, goals, and admin tools. A chat interface appears on the right, indicating available support. This visualization is ideal for users seeking in-depth campaign analysis."
}
```

    This launch supports Google’s expanding lineup of AI-driven in-product agents, positioning Gemini as a fundamental layer in advertising and measurement tools.

    Why This Matters to Us. Ask Advisor symbolizes one of Google’s most direct steps into agent-based advertising workflows.

    Instead of interacting manually with separate reporting dashboards, campaign tools, and optimization settings, AI agents are being poised to handle operational tasks and present strategic insights.

    The more substantial evolution is structural: Google is anchoring Gemini as the core across its advertising platform, potentially redefining how campaigns are developed, optimized, and evaluated.

    Keep an Eye On. The biggest discussion point will be how much control advertisers are willing to cede to AI agents. Transparency over recommendations, automation choices, and reporting accuracy will be under scrutiny as Ask Advisor rolls out.

    When You Can Get It. Currently in beta, Ask Advisor is available for English-language accounts, with more features anticipated later this year.

    Want to Learn More? Here’s additional news from Google Marketing Live 2026:


    Inspired by this post on Search Engine Land.


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  • Rising Google Ads Costs in 2025: Boosting Conversion Success

    Rising Google Ads Costs in 2025: Boosting Conversion Success

    In 2025, I’ve noticed that while the costs of Google Ads continue to climb, there’s been a silver lining. Advertisers like myself have been improving conversion efficiency, which means growth is still within reach.

    PPC reporting concept

    I’ve observed that although we’re paying more per click, the data from WordStream by LocaliQ shows we’re getting better at converting those clicks. The benchmark report, analyzing over 16,000 campaigns, highlights an increase in average CPC to $5.42, up from $4.66 last year, with 87% of industries seeing a rise.

    Despite this jump in CPC, the average conversion rate has improved to 8.18%. This indicates we’re becoming more efficient, even as traffic costs rise.

    Why advertisers should care. The benchmarks clearly point out that inexpensive traffic is fading fast. For us advertisers, this means absolute reliance on volume is not sustainable anymore.

    To maintain profitability, I’ve realized that focusing on stronger targeting, creative enhancements, better landing pages, and smarter automation is vital.

    The report suggests advertisers who adapt well to automation and intent-driven targeting are improving conversion efficiency, despite the rising costs.

    By the numbers. Here’s what stands out:

    $5.26 — Average Google Ads CPC in 2025, increased from $4.66 in 2024.

    87% — Percentage of industries experiencing CPC hikes annually.

    ```json
{
  "alt": "2026 Search Advertising Benchmarks with click-through rate, cost per click, conversion rate, and cost per lead averages.",
  "caption": "Explore the 2026 search advertising benchmarks, highlighting click-through rate, cost per click, conversions, and lead costs for better ad strategies.",
  "description": "This image shows the 2026 Search Advertising Benchmarks by WordStream, detailing overall averages for performance metrics. It includes a 6.64% click-through rate, a cost per click of $5.42, an 8.18% conversion rate, and a $66.69 cost per lead. These metrics provide valuable insights for optimizing advertising strategies in the digital marketing landscape."
}
```

    7.52% — Across-the-board average conversion rate in 2025.

    $70.11 — Average cost per lead in Google Ads, 2025.

    Highest CPCs. Industries like Attorneys & Legal Services led with $8.58, while areas like Finance & Insurance, and Home Improvement consistently hovered in the $7+ range.

    Lowest CPCs. The Arts & Entertainment and Travel & Hospitality sectors fell in the $2–$3 range, benefitting from reduced competition.

    Highest conversion rates (strong intent / local services)

    Automotive Repair led with 14.67%, followed by other high-intent services like home services ranging from 12–14%.

    Lowest conversion rates (complex or high-consideration journeys)

    Finance & Insurance was at the bottom with 2.55%, and B2B, legal, and high-ticket items were between 3–5%.

    ```json
{
  "alt": "Bar chart showing average Google Ads cost per lead from 2021 to 2026 with varying percentage changes.",
  "caption": "Explore the journey of Google Ads cost per lead from 2021 to 2026. Notice the fluctuations and trends analyzed by WordStream.",
  "description": "This image is a bar chart illustrating the average Google Ads cost per lead over the years 2021 to 2026. Starting at $41.40 in 2021, costs rise to $70.11 in 2025 before slightly decreasing to $66.69 in 2026. Percentage changes per year indicate shifts in advertising benchmarks. The chart is presented with purple bars, each annotated with the year, specific cost, and percentage change. Created by WordStream for search advertising benchmarks in 2026."
}
```

    The cost-per-lead is stabilizing, thankfully. Although the average CPL rose modestly by 5.13% to $70.11 in 2025, it’s a relief after years of sharper increases. Legal services remain costly, while auto repair is more cost-effective.

    Automation is changing performance benchmarks. I’ve seen how Google Ads has embraced AI-driven optimization. As conversion rates rise, smarter bidding systems and improved intent matching are effectively connecting advertisers with high-quality users.

    While automation like Smart Bidding and Performance Max is shaping campaigns, I know that not every account is thriving. Some have zero conversions, and failure to optimize or poorly set up tracking continues to waste spend.

    Interestingly, accounts using negative keywords experience conversion rates up to three times higher, underscoring how foundational practices are essential even in an AI era.

    Between the lines. The benchmarks present a mixed message. Costs are rising, yet Google’s automation aids efficiency for those optimizing their campaigns effectively.

    The biggest challenge now isn’t finding cheap clicks—it’s enhancing conversion quality and maximizing value from expensive traffic.

    Bottom line. Google Ads is more costly than ever, but by embracing automation, focusing on conversion quality, and improving account efficiency, growth is still possible.


    Inspired by this post on Search Engine Land.


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  • From Video Tapes to AI: My Journey Through Paid Search Evolution

    From Video Tapes to AI: My Journey Through Paid Search Evolution

    Reflecting on my journey, it all began with a simple student side hustle, not a meticulously crafted career path in the world of PPC.

    Back in 1998, as a Stanford student, I stumbled upon an opportunity to resell used Blockbuster video cassettes, prompting me to seek a way to connect with buyers. That quest introduced me to GoTo, an early search engine where I first experienced the power of paid search through keyword bidding.

    Over two decades later, I find myself recognized as a prominent voice in PPC, having journeyed from Google to founding Optmyzr, shaping the landscape of Google Ads.

    In this reflective interview, I delve into the transformation of Google Ads from its inception to the current era of automation, and I urge marketers to stay mindful as we transition from keywords to AI-driven prompts.

    Paid Search’s Humble Beginnings

    My initial ‘aha’ moment with paid search occurred before Google Ads became an advertising giant.

    GoTo revealed to me the potential of reaching audiences without an enormous budget; buying a keyword allowed me to test and refine my strategies easily, a stark contrast to traditional advertising requiring hefty budgets with less measurable results.

    This accessibility fundamentally changed the game.

    Google Ads: Pioneering Measurable Success

    Joining Google in 2002 marked a new chapter as I helped launch Google Ads in Dutch, expanding its reach as the sixth supported language.

    Back then, a significant advertiser was spending about $30,000 monthly—a figure that, while modest by today’s standards, was groundbreaking at the time.

    Google’s unique selling point wasn’t merely traffic; it provided proof through tools like Urchin (Google Analytics) and conversion tracking, offering insights into post-click activity, transforming paid search into a provably effective strategy.

    Search Engine Land’s Influence

    By 2006, when Search Engine Land emerged, paid search had already solidified its position as a serious advertising channel.

    The platform became more than just news for me; it was a community for idea exchange, learning, and connection-building that significantly impacted my career.

    It even inspired Optmyzr’s creation after connecting with my future co-founders through a published article on quality score, catalyzing a collaborative venture.

    Understanding Quality Score

    Google Ads’ quality score has always centered around relevance. Initially, it was primarily about click-through rate, ensuring ads were not only high-bid but also relevant to the user.

    This necessity for a balance between bid and quality formed the auction’s cornerstone, a balance managed by machine learning, which humans like myself initially handled, sometimes reviewing keywords to ensure relevance.

    Cyclical Nature of Search

    The evolution of paid search is undeniably cyclical. Initially, advertisers had limited data, but Google empowered them with analytics, conversion tracking, and search query reports, only for visibility to be obscured again by privacy changes.

    Products like Performance Max followed this pattern, launching with restricted features and expanding as demanded. Yet, the industry often views such ‘black box’ phenomena as novel, overlooking the pendulum swing between simplicity, control, automation, and transparency.

    The Impact of Smart Bidding

    A pivotal moment was when Smart Bidding became highly effective. It shifted advertisers’ roles and compelled tool providers like Optmyzr to redefine their contribution.

    With Google automating bidding so competently, the focus shifted from bid adjustments to offering ‘PPC insurance,’ monitoring automation, setting limits, and diagnosing system errors, a critical part of Optmyzr’s strategy.

    AI: The Next Shift

    The launch of ChatGPT marked a significant shift, propelling Google to advance its Gemini technology and prompting the industry to move beyond keyword-based advertising.

    With Google’s foundation built on keywords, we’re now seeing a shift towards interactions through prompts, conversations, and AI assistants, raising fundamental questions about whether the existing system should be overhauled or if an entirely new framework is needed.

    AI Search: More Than Just Information

    AI is transforming mere search queries into actionable tasks. People now not only seek information but also request AI tools to produce content, solve issues, and deliver solutions.

    This evolution demands advertisers understand user goals profoundly, thus enhancing opportunities to assist at crucial junctures rather than simply matching a keyword to an ad.

    Enhancing AI with Context

    One prevalent mistake is treating AI like traditional search, asking limited questions and dismissing tools based on unsatisfactory answers.

    My advice? Empower AI with true objectives. Don’t just ask for the ‘best mattress’ if your goal is health improvement; outline the broader context and let AI explore the solutions.

    The same principle applies to marketing strategies, emphasizing goal clarity whether it’s lead generation, recruitment, education, or brand growth.

    Future Opportunities for Problem Solvers

    Marketers must evolve beyond past mechanisms. If my role was solely ‘keyword manager,’ the future might seem uncertain. But focusing on customer engagement and problem-solving signifies that while tools might change, the mission remains intact.

    The future of search will favor those adept at understanding consumer needs and communicating value, adjusting to innovative discovery methods.

    Advice to My Younger Self

    Looking back, the simplest advice would have been to invest in more Google stocks.

    Beyond that, I’m content with my journey’s trajectory. My guidance? Be intentional, think systematically, and join communities offering significant insights.

    Communities like Search Engine Land, SMX, and Silicon Valley introduced worthwhile problems to solve.

    What I’m Most Proud Of

    I’m proud of becoming part of Google’s early team, contributing to digital infrastructure that defines the modern digital ecosystem.

    While Optmyzr is a significant achievement, Google’s broad impact—from Ads to Maps, and Drive—is what I regard as monumental, funding products that revolutionize access to information and daily activities.

    PPC Marketers’ Secret

    We often joke that PPC experts never confess ignorance. Instead, we say, ‘It depends.’

    Though humorously put, it’s mostly accurate.

    The intricacies of paid search abound with caveats and evolving contexts, which is why continuous learning is essential for longevity in this industry.


    Inspired by this post on Search Engine Land.


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  • Google Shifts Offline Conversion Imports to Data Manager API

    Google Shifts Offline Conversion Imports to Data Manager API

    As a developer working with Google Ads, I’ve recently learned that Google is encouraging us to migrate offline conversion imports from the Google Ads API to the Data Manager API by June.

    Starting June 15th, Google plans to phase out offline conversion imports through the Google Ads API for some developers, which could impact how we track conversions.

    For those of us who depend on these offline conversion imports, including enhanced conversions for leads, it’s crucial to transition our workflows to the Data Manager API to ensure seamless operations.

    Details. We’re now aware that after June 15, offline conversion imports using the UploadClickConversions request will become non-functional for accounts inactive with this feature for the past 180 days, as per Google’s notification to developers.

    This change specifically targets offline conversion imports and enhanced conversions for leads, while all other operations in the Google Ads API will continue as usual.

    According to Google, we should transition our workflows to the Data Manager API moving forward.

    Why this matters. Offline conversion imports play a critical role in measuring leads, sales, and other actions occurring offline. Without timely migration, our conversion data might not integrate into Google Ads, affecting reporting, attribution, and automated bidding performance. This shift aligns with Google’s broader strategy towards AI-driven, centralized data infrastructure.

    ```json
{
  "alt": "Google Ads API offline conversion usage changes announced effective June 15, 2026.",
  "caption": "Exciting updates for Google Ads API users! Starting June 15, 2026, use the Data Manager API for enhanced offline conversion imports.",
  "description": "This image details upcoming changes in Google Ads API concerning offline conversion imports. By June 15, 2026, developers must transition to using the Data Manager API for this functionality. The change aims to improve the developer experience and provide additional features for sending data to Google. The notice includes steps for those who haven't used the UploadClickConversions request in the last 180 days, recommending continued use of the Google Ads API for non-offline conversion operations."
}
```

    The bigger picture. This move signifies Google’s ongoing effort to centralize data ingestion and streamline measurement infrastructure through automation.

    Google promotes the Data Manager API as a comprehensive system for sending advertiser data into Google Ads, embracing functions like Customer Match and conversion imports, with additional capabilities for developers.

    Between the lines. With attribution leaning more on privacy-centric, first-party data, Google is narrowing down its advertising tools to more integrated systems that leverage AI-driven campaign products.

    For developers and platforms, the migration necessitates updates to integrations, the redevelopment of import processes, and the testing of new workflows ahead of the deadline.

    What’s next. We can continue using the Google Ads API for non-offline conversion functions, but must shift any workflows involving offline conversion imports to the Data Manager API before June 15th to avoid disruptions.

    First spotted. I came across this update through a post by PPC Specialist Arpan Banerjee, who shared the communication he received on LinkedIn.


    Inspired by this post on Search Engine Land.


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  • Discover Google Ads API v24.1: Enhance Reporting & Security

    Discover Google Ads API v24.1: Enhance Reporting & Security

    I’ve recently delved into Google’s exciting release of Ads API version 24.1, and it’s packed with valuable updates for advertisers. This version brings us advanced reporting capabilities, expanded AI campaign testing, and improved security measures.

    In this update, Google has prepared us for their upcoming data retention policy changes, which will commence next year—something I believe every developer should be ready for.

    Why we care. The latest release highlights three crucial areas: performance visibility, creative control, and testing automation, which are becoming vital for advertisers like me.

    What’s more, brands now have greater control over creative displays in Demand Gen campaigns, overcoming the typical limits imposed by automation. It’s a significant update that I’m excited to explore further.

    Those of us who lean heavily on reporting infrastructures should also be mindful of Google’s impending 37-month data retention limit, set to impact historical performance analysis come 2026.

    Mobile reporting gets more granular. One of the features I’m most thrilled about is the new mobile device platform segment that allows for reporting by operating system.

    With the new segments.mobile_device_platform field, I’m able to differentiate performance across iOS and Android, a game-changer for app marketers and ecommerce advertisers alike.

    Demand Gen adds classic image support. I love how Google is providing us with more creative control in Demand Gen campaigns, specifically through the classic_display_images field.

    This new field allows us to upload and display static image ads exactly as designed, which is perfect for maintaining branding consistency without AI alterations.

    Passkeys come to Google Ads. Security is always a top concern of mine, so I’m pleased to see the inclusion of the passkey_enabled field to boost account security through passwordless authentication.

    Experiment support expands. I’ve noticed that Google has significantly enhanced the support for Experiments, allowing us to run and analyze tests across AI Max, Video, Demand Gen, and Performance Max campaigns.

    This update also enables us to view metrics such as clicks and conversions more transparently, making experiment analysis straightforward and insightful.

    A major data retention change is coming. From June 1st, Google Ads and related APIs will enforce a 37-month data retention limit, something I must prepare for to avoid disruptions in performance analytics.

    The release includes a new error code: DateRangeError.REQUESTED_DATE_GRANULARITY_NOT_SUPPORTED, and it’s essential that I update reporting workflows accordingly.

    What’s next. I’ve already checked out the updated client libraries and code samples for v24.1, and I plan to participate in Google’s live walkthrough on Discord, YouTube Live, and LinkedIn Live for additional insights.


    Inspired by this post on Search Engine Land.


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  • Discover How AI is Transforming Google Search Queries

    Discover How AI is Transforming Google Search Queries

    6 mistakes that hurt ecommerce campaigns on Google Ads
    I’ve noticed that Google Search Query Reports are moving towards AI-driven interpretations, reflecting inferred intent rather than exact user searches.

    What’s happening. Google has clarified that the search terms in Search Query Reports might not precisely match what users typed. Instead, the system displays the “closest approximation” due to the complexity of modern search behaviors.

    What’s behind it. It’s fascinating how heavily AI now influences Google Ads’ matching systems. Rather than depending solely on specific keywords, Google increasingly interprets user intent, context, and behavioral signals to decide which ads to display.

    Why we care. For those of us in advertising, Search Query Reports might become less of a mirror reflecting user language and more of a summarized representation of intent. This shift might complicate query analysis, decisions on negative keywords, and strategy around match types.

    ```json
{
  "alt": "Text explaining advanced search experiences and AI-based ad group prioritization.",
  "caption": "Decoding advanced search experiences: how AI enhances ad group prioritization by interpreting user intent for optimized results.",
  "description": "This image contains a section of text discussing advanced search experiences involving AI tools like Lens and AI Mode. It emphasizes that search terms in reports represent user intent and explains the role of AI-based ad group prioritization in aligning ads with user interests, despite the absence of directly matching keywords. A recommendation is also provided to review change history if an intended ad group is unavailable. Keywords: advanced search, AI, user intent, ad group prioritization."
}
```

    Discovered by. This update was brought to my attention by Adsquire founder, Anthony Higman, on an official Google help page discussing ad group and asset group prioritization in Google Ads.

    The bottom line. Google Ads continues its evolution from keyword matching to AI-driven intent modeling, meaning we might have less insight into the exact searches that activate our ads.


    Inspired by this post on Search Engine Land.


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  • Exciting Changes: Google Ads to Auto-Link YouTube Channels

    Exciting Changes: Google Ads to Auto-Link YouTube Channels

    Starting June 10, I’ll enjoy seamless access to valuable YouTube engagement data through Google Ads, all thanks to an automated linking feature.

    I received a notification from Google alerting me that my Google Ads accounts will soon be automatically linked to any associated YouTube channels. This change comes into effect on June 10, 2026, and eliminates the need for manual connections.

    Now, without lifting a finger, I can access a world of video engagement data and targeting features directly through Google Ads.

    Why it matters to me. By linking my YouTube channel, I can now dive into deeper insights and leverage more advanced targeting options that I might have otherwise overlooked.

    With this automation, video data becomes a standard tool in my campaign optimization arsenal.

    Take a closer look. I’ll have instant access to organic video metrics like view counts right within Google Ads.

    I’m also able to create audience segments based on user interactions with my YouTube content, such as video views and channel engagement.

    ```json
{
  "alt": "Notification about Google Ads and YouTube channel linking on June 10, 2026.",
  "caption": "Get ready for seamless advertising! Google Ads will link to your YouTube channel by June 10, 2026, streamlining access to metrics and engagement insights.",
  "description": "This image is a notification indicating that Google Ads accounts will automatically link with YouTube channels starting on June 10, 2026. The message highlights the benefits of this integration, such as gaining access to view counts, data segments, and engagement metrics. This update aims to enhance advertising strategies and user interaction analytics on YouTube through Google Ads."
}
```

    Extra benefits. This integration means I can track ‘earned actions’ like subscriptions or additional views spurred by my ads, making these interactions valuable conversion signals.

    Such insights offer a clearer picture of how my video campaigns impact user behavior beyond mere clicks.

    What I’m watching for. It’ll be fascinating to see how my measurement strategies evolve with the integration of organic and paid video data, and whether this encourages a broader adoption of engagement-based conversion tracking.

    The bottom line. Google is making it impossible to ignore YouTube insights, turning automatic linking into a necessary step for honing targeting, measurement, and performance.

    First spotted. Multiple advertisers, including myself, were informed by Google. Notable mentions are Menachem Ani, Hana Kobzová, and Arpan Banerjee.


    Inspired by this post on Search Engine Land.


    crushpress.ai community screenshot