Category: Google Ads

  • Exciting Update: Google Ads Revives Target CPA and ROAS Names

    Exciting Update: Google Ads Revives Target CPA and ROAS Names

    I’ve got some news to share about Google Ads that’s made my analytical heart skip a beat. Google’s latest update is set to simplify how advertisers differentiate between target-based and volume-based bidding strategies.

    This month, Google is reinstating the names we’ve all been familiar with: “Maximize conversions with a Target CPA” will revert to the plain and simple Target CPA, and “Maximize conversion value with a Target ROAS” will go back to just being Target ROAS. It’s like welcoming back an old friend!

    Why this matters to us. This change brings clarity to whether our campaigns are focused on maximizing volume or achieving specific performance targets. It’s a small shift with potentially big implications for how I manage my ad strategy.

    The fine print.

    Maximize Conversions is still there for us advertisers who aim to drive the maximum number of conversions without overspending on our budget.

    Maximize Conversion Value remains for those of us focused on squeezing out the absolute highest conversion value possible, balancing along the fiscal tightrope.

    What’s staying the same. Rest assured, this update is purely cosmetic. The mechanics beneath the surface remain untouched.

    Google assures us that there will be:

    • No shifts in bidding behavior
    • No change in campaign performance
    • No action required from advertisers like you and me

    Our campaigns will continue to roll forward just as they always have.

    For the API enthusiasts out there. Google is aligning the user interface more closely with the API, which is great if, like me, you’re juggling integrations, reporting tools, and campaign workflows. The goal is to accurately recognize standalone TARGET_CPA and TARGET_ROAS strategies.

    For those utilizing the API, Google encourages us to stay alert to upcoming adjustments related to:

    • The BiddingStrategyType enum
    • Standalone TargetCpa and TargetRoas messages
    • Optional target settings within MaximizeConversions and MaximizeConversionValue

    The takeaway. Although Smart Bidding itself remains stable, the simplification in naming might make setting up and reporting on campaigns that little bit easier to navigate, thanks to Google’s fresh clarity on strategy names.


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    The fine print.

    Maximize Conversions is still there for us advertisers who aim to drive the maximum number of conversions without overspending on our budget.

    Maximize Conversion Value remains for those of us focused on squeezing out the absolute highest conversion value possible, balancing along the fiscal tightrope.

    What’s staying the same. Rest assured, this update is purely cosmetic. The mechanics beneath the surface remain untouched.

    Google assures us that there will be:

    • No shifts in bidding behavior
    • No change in campaign performance
    • No action required from advertisers like you and me

    Our campaigns will continue to roll forward just as they always have.

    For the API enthusiasts out there. Google is aligning the user interface more closely with the API, which is great if, like me, you’re juggling integrations, reporting tools, and campaign workflows. The goal is to accurately recognize standalone TARGET_CPA and TARGET_ROAS strategies.

    For those utilizing the API, Google encourages us to stay alert to upcoming adjustments related to:

    • The BiddingStrategyType enum
    • Standalone TargetCpa and TargetRoas messages
    • Optional target settings within MaximizeConversions and MaximizeConversionValue

    The takeaway. Although Smart Bidding itself remains stable, the simplification in naming might make setting up and reporting on campaigns that little bit easier to navigate, thanks to Google’s fresh clarity on strategy names.


    Inspired by this post on Search Engine Land.


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  • Boost Campaigns with Google’s Automatic Conversion-Based Lists

    Boost Campaigns with Google’s Automatic Conversion-Based Lists

    I recently discovered that Google Ads is elevating the game for advertisers by automatically enabling conversion-based customer lists for those who qualify. This intriguing update aims to start processing data on August 18th.

    As part of this change, advertisers who are already utilizing both Enhanced Conversions and Customer Match but have not yet switched on conversion-based customer lists will benefit from this automatic feature enhancement.

    Why this matters to us. In a landscape where privacy changes are constantly evolving, advertisers are being gently nudged to lean on first-party data. Conversion-based customer lists offer a fresh approach to build audiences using data collected from existing conversions.

    This feature could be a game-changer, allowing advertisers to create highly relevant audience segments and boost campaign performance—and all of this without any extra implementation work.

    Here’s the scoop. If you’re eligible, relax; you won’t need to do anything to enjoy the benefits. Starting on August 18th, Google will kick-start data processing and automatically make these lists available within your account.

    Advertisers then have the opportunity to decide whether to integrate these audiences into their campaigns and ad groups, molding their targeting strategies accordingly.

    But wait, there’s more! If for some reason this auto-feature doesn’t appeal to you, opting out is simple. Just disable conversion-based customer lists in your account settings before August 18th. Otherwise, Google will go ahead with generating these lists automatically.

    Heads up. This update was initially discovered by Menachem Ani, the Founder of JXT Group. Menachem shared his insights in communications that he posted on X.


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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.

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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.


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  • Unlocking Google’s Auto-Classification for Conversion Lists

    Unlocking Google’s Auto-Classification for Conversion Lists

    Starting in August 2026, Google will begin to automatically categorize customer types in conversion-based lists, removing some of the control we advertisers once had. I must now provide Google’s systems with clearer signals on where audiences are in their customer journey.

    As someone deeply involved in advertising, I know the importance of precise audience targeting. With these changes, I’m urged to review and update my classifications in the Google Audience Manager before they kick in.

    What’s Changing? From August 2026, Google Ads will automatically classify customer lists into categories like:

    • Existing customers
    • New customers
    • Other customer segments

    Why Google’s Making This Shift. It appears that Google aims to enhance audience consistency across its tools for customer acquisition and retention. This standardization allows for better optimization decisions in Google’s automated bidding and targeting systems by clearly defining prospecting from retention audiences.

    Why This Matters to Us. As an advertiser utilizing customer acquisition strategies, the precise classification of these lists is crucial. Any misclassification could impact Google’s optimization of users throughout their lifecycle, affecting campaign performance.

    What We Should Do. It’s vital for us to audit our Customer Match lists—based on conversion data—before August. Consider these questions:

    • Are my customer lists categorized correctly?
    • Do they represent existing customers versus acquisition targets?
    • Will Google’s automatic classification align with my internal definitions?

    Reviewing these settings now could prevent unexpected changes when Google enforces these classifications.

    The Bottom Line. Google is taking an active role in managing audiences, further streamlining the signals powering their automated advertising systems by assigning lifecycle labels to conversion-based lists.

    First Spotted. This update was noticed by Google Ads expert Bia Camargo, who shared the alert on LinkedIn.


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  • Google Ads Adopts CPM Billing for Discover’s Demand Gen Campaigns

    Google Ads Adopts CPM Billing for Discover’s Demand Gen Campaigns

    I recently came across some notable updates from Google Ads that could impact a number of advertisers like me. From July 15, Google is making a big shift in how it charges for Demand Gen campaigns on Discover, specifically those aimed at view-through conversions (VTC). Instead of the traditional cost-per-click (CPC) model, we’ll be billed on a cost-per-thousand impressions (CPM) basis.

    What happened. Google Ads informed me, along with other advertisers, that this shift will directly affect campaigns using VTC optimization. If you’re like me and use this optimization, be prepared for the billing change. This only impacts campaigns with VTC enabled, so if you’re not using it, you’re in the clear.

    Luckily, no action is required on my part for this transition to take place; it’s automatic.

    Why we care. For those of us focused on efficiency in Demand Gen campaigns, this switch could mean we’ll need to closely monitor changes in spend, impressions, and reporting metrics since the basis for billing is changing from clicks to impressions.

    This shift in billing might prompt some of us, who primarily look for click-driven performance, to reassess if VTC optimization aligns with our goals.

    Why Google is making the change. According to Google, aligning billing with campaign objectives is key. View-through conversions rely heavily on ad impressions. Thus, billing on a CPM basis could more accurately reflect the actual value generated from these campaigns.

    ```json
{
  "alt": "Google Ads billing update notice for view-through conversion optimization.",
  "caption": "Google Ads announces changes to billing for Demand Gen campaigns, transitioning to cost-per-thousand impressions for view-through conversions.",
  "description": "This image is an email from Google Ads detailing a billing update for Demand Gen campaigns using view-through conversion (VTC) optimization on the Discover platform. Effective July 15, 2026, the billing method will change from cost-per-click (CPC) to cost-per-thousand impressions (CPM). This update aims to better align billing with optimization goals. Advertisers who wish not to transition can opt-out. Keywords: Google Ads, billing update, VTC optimization, CPM billing."
}
```

    Moreover, Google believes this shift will enhance the system’s ability to optimize for VTC goals more effectively.

    Opt-out option. If the new billing structure doesn’t suit you, there’s an opt-out. Disabling VTC optimization in campaign settings will prevent this change from affecting your campaigns.

    The bottom line. With Google tying payments more closely to the behaviors Demand Gen campaigns are crafted to optimize, those of us leveraging VTC will now focus on impressions rather than clicks for billing and optimization on Discover.

    First spotted. This update first came to my attention through Adsquire founder, Anthony Higman, who shared details on X.


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  • Discover Google’s Latest Smart Bidding Innovations

    Discover Google’s Latest Smart Bidding Innovations

    I’m excited to share that Google has introduced new methods for advertisers to expand their campaigns while keeping a close grasp on efficiency targets. This expansion in Smart Bidding Exploration is sure to be a game-changer.

    Google is unveiling a new series of updates designed to help advertisers discover fresh demand, take advantage of seasonal opportunities, and achieve more consistent campaign performance. I’ve always valued predictable outcomes in advertising, and these updates seem to focus exactly on that.

    What’s new. The enhancements include a larger scope for Smart Bidding Exploration, the introduction of a new Promotion Mode beta, and updates to bidding target optimization specifically for campaigns with limited budgets.

    Driving discovery. This enhancement allows me, as an advertiser, to set a return on ad spend (ROAS) tolerance, so my campaigns can capture additional conversion opportunities from search queries that currently might be overlooked.

    From what I’ve seen, campaigns utilizing this feature experience about an 18% boost in unique converting search query categories and a 19% increase in overall conversions.

    This capability is now extended to Performance Max campaigns without product feeds and is being tested in beta for Shopping ads within both Performance Max and Standard Shopping campaigns.

    Peak period bidding. The new Promotion Mode empowers advertisers to adjust ROAS targets temporarily and increase the daily budget during peak periods like seasonal events, new product launches, and flash sales. I think this is a fantastic tool for maximizing high-demand opportunities.

    ```json
{
  "alt": "Campaign settings interface showing promotion mode with start and end dates, target ROAS tolerance, and extra daily budget.",
  "caption": "Optimize your ad spend with the promotion mode, allowing for increased spend on specific dates to maximize sales with a set budget and ROAS tolerance.",
  "description": "This image displays the campaign settings interface for configuring promotion mode. It includes options for setting a start and end date for promotional periods, a target ROAS tolerance percentage, and an optional extra daily budget. The interface is designed to enhance ad spending efficiency on selected dates, aiming to boost sales while adhering to budget constraints. Keywords: campaign settings, promotion mode, digital marketing, ROAS, advertising budget."
}
```

    What else is changing. Starting August 17, Google will update bidding target optimization for budget-constrained campaigns with the aim of delivering more consistent performance. This aligns better with our CPA and ROAS targets, which is reassuring for me as a campaign manager.

    Notifications will begin rolling out in Google Ads on July 6, alerting advertisers about recommended campaign adjustments. I appreciate such timely updates that help me stay ahead in planning.

    Why we care. These advancements allow Google’s AI bidding systems to explore incremental conversions beyond our current keyword and audience settings. This potential unlock of new demand could be pivotal in redefining campaign success for me.

    The Promotion Mode stands out for retailers and seasonal advertisers by enabling temporary adjustments to ROAS targets and budgets during peak periods without needing a complete campaign overhaul. Additionally, the changes in bidding optimization aim at making performances more predictable in campaigns limited by budget.

    The bottom line. Google’s recent bidding updates are designed to help advertisers, like me, find new conversion opportunities, react more assertively during peak demand times, and maintain consistent performance as campaigns scale.


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  • Google’s DSA to AI Max Migration Postponed: More Time for Advertisers

    Google’s DSA to AI Max Migration Postponed: More Time for Advertisers

    As an advertiser using Google’s Dynamic Search Ads, I’ve got good news: Google has decided to delay the transition to AI Max by five months. This gives me more time to explore AI-powered options and manage the migration at my own pace.

    The extended timeline is a relief, offering me the opportunity to test out new strategies and alternatives without the pressure of a sudden shift. Managing the transition away from one of Google’s most established campaign types on my own terms is crucial for continuity.

    What’s changing: Google has pushed the auto-migration of DSA campaigns from September 2026 to February 2027. From June 15, I can even create new DSA campaigns again, offering flexibility during the transition period.

    Catch up: For those not in the know, Dynamic Search Ads have been making way for newer, AI-driven campaign formats. These include AI Max for Search, broad match, and Smart Bidding.

    With this delay, I have more time to assess how these AI-driven options perform compared to traditional methods. Preparing a solid migration plan before Google’s automatic upgrades can now be done thoughtfully and strategically.

    Why we care: Google’s extension is quite significant, offering nearly six extra months to see how AI Max and other AI formats stack up. This valuable period allows me to conduct side-by-side tests, set performance benchmarks, and fine-tune migration strategies.

    What advertisers should do: Google is prompting us to audit existing DSA campaigns, run experiments against AI Max for Search, and use tools for voluntary migration before February 2027.

    Timeline:

    • June 2026: DSA campaign creation is back.
    • June 2026 – January 2027: Extended testing and voluntary migration period.
    • January 2027: New DSA creation ceases.
    • February 2027: Automatic migration kicks in for remaining campaigns.

    The bottom line: Google is allowing advertisers more runway for transitioning from DSAs to AI-powered search campaigns, while still giving us access to creation and testing capabilities in the meantime.


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    Timeline:

    • June 2026: DSA campaign creation is back.
    • June 2026 – January 2027: Extended testing and voluntary migration period.
    • January 2027: New DSA creation ceases.
    • February 2027: Automatic migration kicks in for remaining campaigns.

    The bottom line: Google is allowing advertisers more runway for transitioning from DSAs to AI-powered search campaigns, while still giving us access to creation and testing capabilities in the meantime.


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  • Google Enhances Local Real Estate Ads Nationwide

    Google Enhances Local Real Estate Ads Nationwide

    I’ve got some exciting news to share! Google is expanding its enhanced Local Services Ads (LSAs) for Home Listings all across the U.S., and it’s set to revolutionize the home-buying process.

    As someone who frequently turns to Google at the start of my own home-searching journey, I see this as a fantastic opportunity for connecting homebuyers like me with local agents earlier in the process.

    What’s New: With the updated LSA experience, I’m thrilled to see that ads now include detailed property information, such as pricing, photos, and key home features, right within the ad itself.

    This new functionality is made possible through a collaboration with HouseCanary, which provides the property data showcased in the ads.

    Why It’s Important: For me, having access to actual property listings, including visuals, pricing, and details directly through Google’s Local Services Ads, means I can better evaluate homes and reach out to agents without ever leaving the search page. This could very well boost lead quality and conversion rates.

    How It Works: If I’m in the market for a new home, I can contact agents directly from these ads, whether through a call, message, or by booking an appointment.

    Who Benefits: Existing LSA advertisers are automatically included in this enriched experience. Real estate professionals not yet using Local Services Ads have the chance to sign up and start receiving high-quality leads. Additionally, portal partners can sign up agents through Google’s managed partner program.

    The Bottom Line: Google’s strategy, combining rich listing information with direct agent connections, seems designed to make Search a more beneficial starting point for homebuyers like myself. It’s poised to become a valuable resource for agents looking for high-intent leads.


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  • Unlocking AI Search and Ads: Insights from Ginny Marvin

    Unlocking AI Search and Ads: Insights from Ginny Marvin

    After Google Marketing Live, I’m still left with a lot of questions, and I’m sure I’m not the only one. Thankfully, Ginny Marvin, Google Ads Liaison, joined a comprehensive Q&A with Julie Bacchini and the PPC Chat community to tackle big topics like AI Max, AI Search ads, first-party data, and more.

    The discussion was enlightening, bringing clarity to AI Search eligibility, reporting challenges, and Google’s increasing focus on data quality.

    AI Max: Not a Must-Have for AI Search Ads

    A major revelation was that AI Max isn’t required for participating in AI-driven search experiences. This surprised many of us, as we’d assumed AI Max was crucial for tapping into Google’s AI search surfaces.

    Ginny highlighted that campaigns with broad match keywords are still eligible for AI Overviews and AI Mode. Even so, AI Max does broaden possibilities by treating phrase and exact match keywords with broad match behavior and enabling keywordless matching.

    This means there are still multiple avenues available for us to access AI Search inventory.

    AI Search Reporting is Still on Hold

    Many of us were eagerly hoping for detailed reporting on AI-powered search results. However, Ginny confirmed that current ads in AI Overviews and AI Mode are reported like other top-of-page ads, with no distinct breakdown. Google’s still figuring out what these reports should eventually look like.

    This leaves us with limited insights into how much AI-driven traffic and performance we’re actually seeing.

    Google’s AI Brief: A New Layer of Control

    A significant part of the discussion circled around AI Brief, set to become the control layer for AI Max campaigns. Advertisers like me will soon be able to provide specific guidance such as “never mention prices” or define target audiences, message themes, and search intents to prioritize.

    The rollout will start with English Search campaigns and eventually spread to Performance Max and Shopping campaigns.

    For those of us worried about automation reducing our control, AI Brief offers a promising solution.

    The Core of Effective Advertising: First-party Data

    If there’s anything I walked away with, it’s the emphasis on data quality, particularly first-party data. Google’s focus is what they call “Data Strength,” and tools like Enhanced Conversions and Google Tag Gateway are pivotal.

    It’s clear: better data enhances AI performance and outcomes.

    Exploring New Metrics: Qualified Future Conversions

    Another fascinating development is Qualified Future Conversions (QFC). This metric estimates potential conversions occurring within 180 days post-ad interaction. It’s especially useful if you’re in B2B or lead generation sectors with lengthy sales cycles.

    Currently, it’s in testing with select advertisers, and I’m keen to see it roll out further later this year.

    Key Areas of Excitement at Google

    When asked about her personal highlights from GML, Ginny shared three areas: the new ad formats for AI Search, measurement innovations like QFC, and YouTube Creator Partnerships.

    This truly illustrates where Google is investing: AI discovery, advanced measurement, and creator-driven advertising.

    Putting It All Together

    This Q&A has definitely filled in some gaps left by the GML presentations. I’ve realized that broad match terms still provide a pathway to AI Search, AI-specific reporting is evolving, and Google’s vision continues to be centered on automation, powered by first-party data.

    Most importantly, it’s about balancing automation with new controls like AI Brief to shape Google’s AI systems to our advantage.


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