Tag: Google Ads

  • Google Demand Gen Gets Gemini Creative and Reporting Boost

    Google Demand Gen Gets Gemini Creative and Reporting Boost

    I’m seeing Google roll out a new set of Demand Gen updates designed to help advertisers improve creative performance, reach more potential customers across YouTube, and measure campaign results with more clarity.

    For me, the bigger story is that Demand Gen is becoming less about manually adapting assets and more about using AI-assisted tools to make creative work harder across Google’s most visual surfaces.

    Demand Gen campaigns are built to drive discovery and conversions across Google’s visual placements. With these latest updates, I see Google trying to reduce creative friction while giving advertisers better visibility into what is actually moving performance.

    Google says the enhancements arrive as YouTube continues to show value for customer acquisition. The company cited research from Measured showing that 72% of incremental conversions on YouTube come from new customers.

    What’s new. I’m watching Demand Gen add expanded video resizing capabilities, giving advertisers the ability to automatically transform creative into more aspect ratios, including vertical-to-square, vertical-to-landscape, and square-to-landscape formats.

    That matters because it should make it easier to adapt existing creative for different YouTube placements without having to produce every version manually from scratch.

    Why I care. Expanded video resizing can help existing assets fit more YouTube inventory, Gemini can provide AI-powered recommendations before launch, and new web-to-app measurement can give marketers a clearer view of how Demand Gen campaigns influence app installs and return on ad spend.

    Gemini joins the creative workflow. Google is also bringing Gemini-powered recommendations directly into the Demand Gen campaign creation process, which makes AI guidance part of the asset selection workflow instead of a separate optimization step.

    When advertisers choose image and video assets, Gemini will offer automated suggestions for optimizing creative for YouTube. I see this as a way for marketers to improve asset choices before campaigns go live, rather than waiting for performance data after launch.

    Better app measurement. Demand Gen now includes Web to App Acquisition Measurement, allowing advertisers to measure when web campaigns lead users to install an app.

    The new reporting gives me a more complete way to evaluate campaign performance because it attributes app installs generated through Demand Gen campaigns. That should help advertisers better understand the full impact of their media spend.

    The bottom line. I see Google’s latest Demand Gen updates as a practical combination of AI-powered creative guidance, more flexible video optimization, and broader measurement tools that can help advertisers improve performance while gaining clearer insight into customer acquisition.


    Inspired by this post on Search Engine Land.


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  • Google Ads API Ending Smart Campaign Creation: My Take

    Google Ads API Ending Smart Campaign Creation: My Take

    I see Google’s latest Google Ads API change as another clear move away from legacy automation and toward newer AI-driven campaign types, especially Performance Max.

    Beginning August 3, 2026, Google says developers will no longer be able to create new Smart Campaigns through the Google Ads API. For me, the key detail is that this change is about new campaign creation only.

    Existing Smart Campaigns are not being shut down. They can keep serving ads, and advertisers and developers will still be able to update and manage those campaigns through the API.

    What changes is the ability to create brand-new Smart Campaigns through API workflows. If I depend on automated campaign setup, that is the part I would review now.

    I care about this because it signals where Google wants advertisers to go next. Smart Campaigns may continue running, but the path for new API-based campaign creation is moving toward newer products such as Performance Max, Search campaigns, and Demand Gen campaigns.

    Google is specifically pointing advertisers toward Performance Max as the primary alternative. Since Performance Max runs across Google’s advertising inventory and uses AI to automate more of the campaign process, it fits the broader direction Google has been taking for years.

    I also see this as part of a wider consolidation around automated campaign formats. Google has increasingly emphasized systems that handle bidding, targeting, and creative optimization across channels, and limiting new Smart Campaign creation reinforces that shift.

    For developers, the practical next step is to audit any application that creates Smart Campaigns before the August 3, 2026 deadline. The affected requests are campaign creation operations where advertising_channel_type is set to SMART and advertising_channel_sub_type is set to SMART_CAMPAIGN.

    After August 3, attempts to create new Smart Campaigns through the API will fail. In version 24 of the Google Ads API, developers will receive a SmartCampaignError.CREATION_FAILED error.

    In version 23 and earlier, the same type of request will return an OperationAccessDeniedError.CREATE_OPERATION_NOT_PERMITTED error.

    My main takeaway is that advertisers, agencies, and software providers should not treat this as a last-minute technical cleanup. If campaign creation is built into an internal tool, onboarding flow, or platform integration, I would start mapping the replacement path now.

    Google is not ending existing Smart Campaigns, but it is removing a key creation path for new ones. To me, that is a strong signal that future campaign planning should center on Performance Max and other AI-driven Google Ads campaign types.

    Dig deeper: Changes to Support for Smart Campaigns in the Google Ads API


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  • Master Google Ads: New Bid Strategy Updates Revealed

    Master Google Ads: New Bid Strategy Updates Revealed

    I’ve come across important news about Google Ads that could significantly impact how we manage our campaigns. Google is on the verge of altering its target-based bidding strategies, particularly for campaigns running on limited budgets.

    Mark your calendar for August 17th when these changes will take full effect. But don’t worry, a Bid Target Adjustment Tool will be available as of July 6 to help us prepare and adjust our goals accordingly.

    What’s going on? Google’s update aims to closely align target-based bidding strategies such as Target CPA with our set goals, even when budget constraints come into play.

    They’re introducing a new tool that allows us to tweak our targets before the updates hit, which is crucial for maintaining our campaign performance.

    Why should we care? If your campaigns are currently exceeding their target CPA or ROAS goals, they might not continue to do so post-update without adjustment. This update is meant to ensure budget-constrained campaigns stay true to their targets.

    For example, if my campaign is achieving a $5 CPA against a $10 target, the performance might shift towards $10 unless I make some changes.

    Thankfully, the new tool is there to help us proactively update our bidding goals before the changes roll out. If we don’t take advantage of this, we might end up paying more per conversion or see our performance realign with Google’s targets instead of our historical results.

    Why is Google doing this? Google wants to reduce fluctuations and provide more predictable results when we tweak or adjust our budgets.

    The tool is designed to help us synchronize our bidding targets more closely with actual business outcomes before the automatic implementation begins.

    What should we do? It’s a good time for us to reevaluate campaigns using target-based strategies and verify if our current targets still align with desired results.

    Notifications will be sent through Google Ads accounts before the update, and the Bid Target Adjustment Tool can highlight which campaigns might be affected.

    Key takeaway: For those of us with campaigns that consistently outperform their targets, maintaining current performance might require tweaking target settings instead of leaving them unchanged.

    Bottom line: Google is tightening the link between target-based goals and campaign performance. It’s now more essential than ever for us as advertisers to keep bidding targets updated consistent with our business objectives.


    Inspired by this post on Search Engine Land.


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  • PPC Budget Mastery for 2026: Smart Adjustments and Data Optimization

    PPC Budget Mastery for 2026: Smart Adjustments and Data Optimization

    In 2026, PPC budgeting goes beyond simply setting spending levels. It’s about understanding when to adjust budgets, scaling campaigns effectively, and how data informs Google’s automation in these decisions.

    Over the years, Google’s automation has been driven by the signals supplied to it. In 2026, these signals are processed faster and more precisely, making clean signal architecture more crucial than ever.

    While the fundamentals of budget management remain constant, the speed at which a poorly structured account can drain your budget has increased significantly.

    Two Budget Mechanics You Must Grasp Now

    Before tweaking targets, audiences, or bid strategies, it’s essential to comprehend how these two budget controls operate.

    The Ad Scheduling Pacing Change

    Google now paces campaigns with ad scheduling towards the full 30.4x monthly billing cap, regardless of how many days your ads run. Previously, a $100 daily budget targeted around $2,200 across 22 weekdays. Now, it targets $3,040 in the same period, and the billing ceiling remains unchanged.

    If your campaigns utilize ad scheduling, you need to recalibrate your daily budget based on your total monthly spend rather than active days, setting it by dividing your monthly target by 30.4. For example, a $2,200 monthly target becomes a $72 per day budget if calculated this way. However, 24/7 campaigns remain unaffected.

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    Campaign Total Budgets

    Available for Demand Gen, Search, Standard Shopping, Performance Max, and YouTube campaigns, campaign total budgets let me set a fixed spending ceiling over a defined period instead of managing a daily limit. This window is from three to 90 days for some campaigns, while others can extend up to a year.

    While there is no daily spend cap, allowing flexibility, it’s crucial to monitor these closely, especially when running alongside ongoing campaigns. Additionally, the budget type cannot be altered post-campaign creation, making committed decisions at setup vital.

    What Actually Governs Google Ads Budget Spending

    Efficiency Targets Usually Constrain Spend Before Budgets

    In Smart Bidding strategies, efficiency targets often restrict spending before budget caps do. With a set tCPA of $50, if leads cost $80, the system reduces bids to avoid surpassing your target. It appears as if there’s a budget problem, but it’s actually a target problem.

    I must initially set targets closer to the market conversion rates and then fine-tune them to align with my true goals. When close, the 10%-20% margin aids in navigating those final conversion opportunities effectively.

    Performance Max Decides Where Your Budget Goes

    Performance Max automatically allocates budget across various channels like Search, Shopping, and YouTube, with Google determining the split, not me. Excluding my brand can prevent paying for redundant conversions from Search campaigns.

    Checking my negative keyword lists ensures clarity in branding and budget allocation. This helps avoid misallocation and focuses resources effectively.

    AI Max Expands Ad Appearances

    AI Max, available since April, expands query matching beyond my keyword list, generates ad copy from existing assets, and dynamically targets landing pages. Monitoring the initial spend distribution closely helps maintain alignment with intended strategies.

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    The Signal Problem Impacting Budget Allocation

    An insurance broker using Smart Bidding faced a disconnect: a 416% rise in conversion volume didn’t reflect in revenue due to form starts mistaken for completions. The system optimized for interactions, but the alignment with Cyrillic-language spam was costly without benefiting the pipeline.

    This reflects a broader issue in lead generation: equal weight is assigned to all form fills, leaving Smart Bidding unable to distinguish high-value leads from irrelevant submissions.

    Primary conversions must be meaningful actions that properly guide Smart Bidding. Secondary engagements belong in reports to avoid skewing bidding data.

    For accounts outside the current beta, extending conversion windows to 90 days and assessing performance over these periods can help counteract issues arising from longer sales cycles.

    Using First-Party Data for Budget Guidance

    Customer Match, with a 540-day max membership duration, remains crucial in guiding automation toward valuable traffic. For effective budget allocation, I focus on exclusion before expansion, targeting acquisition budgets toward new prospects.

    Retention strategies should be run separately to maintain consistency in conversion goals. It’s vital that exclusions, available from the start, streamline acquisition efforts effectively.

    Every click they win is a customer you lose.

    See where competitors are investing, which keywords drive their results, and how to capture more of the market.

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    Strategic Scaling in 2026

    For ongoing daily budget campaigns, weekly increases of 10-20% are still relevant. For scheduled campaigns, I focus on monthly targets divided by 30.4 instead of daily adjustments.

    Using Smart Bidding Exploration in open beta for Performance Max can increase unique conversions by exploring new queries. I evaluate results over 60-day windows to make informed decisions.

    Demand-led pacing, complementing daily management, tracks predicted high demand periods to optimize spend within budgetary limits. For B2B accounts, longer evaluation periods safeguard against undervaluing long cycle campaigns.


    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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  • 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.


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  • Embracing AI in PPC: Ginny Marvin’s Evolution in Search

    Embracing AI in PPC: Ginny Marvin’s Evolution in Search

    I find it quite fascinating how the world of search has transformed over the years from manual PPC efforts to AI-driven systems. Reflecting on Ginny Marvin’s journey offers a glimpse into these dynamic changes and underscores the importance of staying curious and adaptable as marketers.

    My journey into PPC wasn’t fueled by a master plan but rather by a desire to reinvent myself professionally. Transitioning from print publishing and advertising sales, I found myself at a crossroads when the startup magazine I had helped establish ceased operations. That pivotal moment pushed me towards digital marketing, starting from entry level.

    Starting fresh meant embracing the unknown. As Marvin put it, she didn’t know what she was doing initially, which makes her story relatable for anyone starting anew. This fresh start paved her path into search marketing, eventually leading her to significant roles at Search Engine Land and Google as the Google Ads Liaison.

    During our interview, Marvin shared insights into the evolution of paid search, highlighting common misconceptions marketers still hold, and emphasized how the next era of search will value curiosity over control.

    Interestingly, PPC clicked for me faster than SEO. My initial foray into the industry was through SEO at a small agency, but I quickly discovered my passion when the paid search manager took a vacation, and I temporarily managed the campaigns. This experience showed me the power of PPC’s speed and measurability, especially coming from a print background where results were slow and uncertain.

    Marvin observed that Google’s clear focus and rapid iteration were key to outpacing competitors like Yahoo and Microsoft. Google’s relentless enhancement of its offerings to align with advertiser needs set it apart and solidified its leadership in the industry.

    I remember the early days of PPC being a manual slog full of exhaustive keyword lists and precision-targeted campaign strategies. We spent hours meticulously crafting keyword combinations, but today’s campaigns are more sophisticated and goal-oriented, aligning more naturally with business objectives rather than conforming to platform constraints.

    When Search Engine Land was in its infancy, Marvin was also establishing her footprint in the search field. The platform quickly became essential for industry news, insights, and expert analyses, fostering professional growth by making information accessible.

    One standout characteristic of the search community, as Marvin noted, is its openness to sharing and collaboration. People have always been generous about sharing their experiments, successes, and failures, recognizing that ongoing learning benefits everyone. This spirit of community has been a cornerstone in my own career development.

    Regarding AI, Marvin asserts that it’s not as novel as many perceive. Although the rapid advancements fueled by large language models seem sudden, machine learning has been embedded in systems like Google Ads for years, refining aspects like Smart Bidding and close variants.

    The real shift lies in consumer behavior, where search patterns have become increasingly complex and diverse. With people using images, voice, and multimodal inputs, modern search engines understand intent beyond simple keywords, necessitating a comprehensive view of the customer journey.

    Despite all these changes, the essence of search success remains tied to business results. What’s different now is the enhanced ability to accurately measure outcomes and align campaign activities with strategic business goals, highlighting the critical role of data and first-party signals.

    Looking ahead, Marvin champions curiosity as the trait that will define successful marketers over the next two decades. Adaptability, understanding customer behavior, and proactively learning new technologies like AI will keep marketers ahead of the curve.

    Marvin candidly remarks that while PPC marketers often claim to embrace change, they can be resistant when major shifts occur. Her advice is to adopt a long-term perspective because seemingly abrupt changes often have deep-seated, gradual developments.

    Experimentation is key, according to Marvin. Even if a new feature doesn’t yield immediate success, dismissing it entirely could be shortsighted. As platforms and capabilities evolve rapidly, what didn’t work before might succeed now, and clinging to outdated methods could hinder progress in the evolving search landscape.

    Reflecting on her career, Marvin expressed pride in the resilient and collaborative nature of the search community. Her contributions at Search Engine Land and Google have always been geared towards fostering an informed and empowered marketing community. To her, “by marketers, for marketers” is more than a motto; it’s a driving mission.


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  • Updated Rules Clarify YouTube Election Ads Policy

    Updated Rules Clarify YouTube Election Ads Policy

    Ever since learning about Google’s latest update to its YouTube and Discover Feed ad requirements, I’ve been intrigued by the clarification on election-related ads. This change, effective April 2026, doesn’t alter enforcement but provides much-needed transparency.

    Why it matters. As someone navigating the complex landscape of YouTube and Discover ad placements, I understand how tightly regulated these spaces are. Historically, election ads have been surrounded by ambiguity. Now, the update helps clear up that confusion without imposing additional restrictions.

    What’s new (and what’s not). It’s interesting to note that election ads are now clearly exempt from specific YouTube and Discover Feed ad requirements. However, no changes in enforcement mean that if compliance was achieved before, there’s no need for advertisers to shift gears.

    Why we care. With this update, I’ve noticed how Google aims to eliminate the haze surrounding election ads on YouTube and Discover. Although these ads don’t need to meet placement-specific requirements, adherence to Google Ads policies remains essential, offering clearer guidance and more predictable campaign launches.

    Zoom in. For election ad campaigns, this exemption is beneficial since these ads aren’t required to comply with the targeted YouTube and Discover Feed ad guidelines. However, advertisers must pass the Election Ads verification within the ad’s targeted region.

    Between the lines. It’s vital to recognize this as a documentation clarification rather than a policy change. Google is distinguishing between the unique requirements for YouTube and Discover ads and its overarching ads policy framework.

    What advertisers should do. If you’re running political campaigns, it’s crucial to maintain your verification status and continue adhering to Google Ads policies. Despite the exemption, keeping up with regulations is necessary for a smooth advertising process.

    Dig deeper. For more details, check out the full YouTube and Discover Feed ad requirements (April 2026).


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