I’ve discovered that Google has enhanced the Google Ads call campaign measurement with a new AI-qualified call leads feature. This upgrade focuses on boosting lead quality, moving beyond just measuring call length.
What’s new. Through machine learning, AI-qualified call leads analyze calls to determine if they represent valuable business opportunities. The system seamlessly integrates this data into bidding and reporting for improved results.
Zoom in. As an advertiser, I now receive AI-generated call summaries and tags, providing clearer visibility into each interaction. This transparency allows smart bidding to prioritize leads of higher value instead of relying solely on call duration.
Why I care. Call campaigns have traditionally depended on call duration to gauge value. With this update, I can shift the focus to actual lead quality, filtering out low-value interactions, including spam and robocalls. This change means better ROI, reduced wasted spend, and a clearer understanding of which calls really make a difference.
How it works. Recording calls is a default feature for most advertisers, allowing AI to evaluate call quality effectively. However, sectors like healthcare and financial services are exceptions. Advertisers, including myself, can adjust call length thresholds or opt to disable recording in account settings.
The fine print. Currently, this feature is available only for calls within the U.S. and Canada.
I’ve recently discovered that Google has introduced some exciting AI safety features in their Ads Advisor, which could really transform how we manage campaigns. This update promises to automate policy fixes, enhance security, and expedite certifications, all to help us run our campaigns more efficiently.
As someone who spends a lot of time tackling policy issues and managing certifications, this news is music to my ears. With advertising campaigns becoming increasingly complex, having AI handle these time-consuming tasks could significantly boost our productivity and performance.
What’s New. The latest update brings proactive troubleshooting, continuous security monitoring, and immediate certifications. Thanks to AI and Google’s Gemini capabilities, these features promise to be a real game-changer.
Zoom In:
Ads Advisor can now automatically flag and resolve policy violations before they even catch our attention. This proactive approach ensures we stay ahead of potential issues.
The new security dashboard is always on the lookout for risks such as suspicious domains or dormant users. It’s like having an ever-vigilant guard protecting our accounts 24/7.
Imagine getting certifications that used to take weeks, approved instantly with just a click. This means we can focus on strategy rather than paperwork.
How It Works. Ads Advisor proactively scans accounts and sites, offering up fixes and confirming resolutions without the need for manual intervention. On the security front, it continuously checks account health and even supports passkey use, reducing our dependency on passwords.
Why We Care. These features save us hours that were once spent fixing issues, upping our security game, and dealing with certifications. This proactive system reduces delays and risks, ultimately enhancing campaign speed and efficiency.
What to Watch. Google plans to roll out these features for English-speaking accounts over the coming months, with additional languages to follow.
I often find that platform reporting can lead me astray when trying to gauge the real impact of Demand Gen creative. To get a clear picture, conducting controlled experiments can validate if my creative work genuinely boosts conversions.
Demand Gen campaigns shine across YouTube, Discover, and Gmail, but they also bring a challenge—what I call the “attribution illusion.” It’s frequent for me to question whether reported conversions are truly incremental or if users would have converted through search regardless.
Google introduced asset uplift experiments in November, allowing me to measure the impact of my Demand Gen creative using an A/B split test. This feature helps replace assumptions with clearer insights into what’s truly driving results.
Relying heavily on creative instinct or standard reporting can misdirect efforts and waste valuable resources on underperforming assets. Google’s A/B testing capabilities empower me to isolate the impact of individual assets, preventing such outcomes.
Why attribution doesn’t equal incrementality
For example, if someone views a Demand Gen ad on YouTube but doesn’t click, only to search for my brand later and convert, Google might still credit the Demand Gen campaign. This attribution reflects correlation more than causation.
To measure accurately, I need to understand the scenario without showing the creative. Withholding test assets from a portion of the target audience helps establish a baseline.
The difference in conversion rates, or any key KPI between groups exposed to the ad and those not, reveals the actual incremental lift the creative drives.
Launching experiments without enough data for statistical significance is a common misstep. Before testing, I ensure campaigns meet necessary prerequisites to avoid inconclusive or invalid results.
Conversion volume
Google suggests having at least 50 conversions across test groups during the experiment for accurate lift measurement. If primary conversions fall short, I consider optimizing the test around micro-conversions like “Add to Cart.”
Budget minimums
Experiments require continuous, uninterrupted spending. A limited budget stopping my campaign early skews data for the control group.
The campaign budget must be sufficient to run for at least four weeks or until statistically significant results are achieved.
Creative isolation
I test one new variable at a time to determine if a specific asset drives uplift, keeping all other campaign elements unchanged.
Running a creative uplift test in Google Ads is now more streamlined. Here’s how I set up a valid experiment.
1. Define a clear hypothesis
Each scientific test starts with a clear hypothesis. I avoid tests without defined objectives. For example:
Bad hypothesis: “Let’s see if our new video works.”
Good hypothesis: “Adding user-generated content (UGC) to our Demand Gen asset group will drive a 10% incremental lift in ‘purchase’ conversions compared to standard static image carousels.”
Navigate to the Experiments interface
In my Google Ads account, I navigate to Campaigns > Experiments. I create a new experiment, selecting Asset tests provided by you for a Demand Gen campaign.
Configure a 50/50 split
I define a 50/50 cookie-based split to ensure both groups have equal historical data and algorithm weighting, preventing users from being in both test arms.
My existing campaign becomes the control, and the new asset campaign serves as the treatment.
Lock your variables
Once started, I practice extreme discipline by not altering audiences, targeting, or making drastic bid and budget changes.
Any changes during the test can introduce noise, affecting the statistical significance of results.
Set the duration
I run experiments for at least four weeks. Week 1 is a learning period, and Weeks 2 to 4 provide actionable data.
Longer conversion cycles in B2B SaaS might require six to eight weeks.
A positive lift with 95% confidence means my creative asset adds real value. I calculate incremental cost per acquisition (iCPA) by dividing the treatment group’s ad spend by incremental conversions over the control.
This iCPA becomes my benchmark for further scaling.
Outcome 2: Negative lift
Creatives may underperform, perhaps being too disruptive or skipped in ads. Pausing these assets is crucial to let data direct budget choices over personal preference.
Outcome 3: Inconclusive result
If results are negligible and don’t confidently attribute conversions after four weeks, I might extend the test for more data. If still inconclusive, trying a drastically different creative asset is my next step.
Prove creative impact with incrementality testing
Creative remains a powerful differentiator for performance. Creating high-quality video or UGC is one thing, but proving its impact with scientific rigor strengthens my creative decisions.
Asset uplift experiments provide evidence of Demand Gen’s budget worthiness to stakeholders. When I start with a holdout test, establish a baseline, and let data guide my creative roadmap, the results speak for themselves.
Recently, I’ve noticed Google experimenting with video ads in the local search pack. This marks a shift towards more captivating visual formats in location-based searches.
Driving the news. Anthony Higman spotted this change, observing Google’s move to incorporate ‘immersive map view videos’ into PPC ads connected to local results.
These video ads pop up within the local pack — the map-based listings that display businesses near me or users searching.
What’s new. Instead of just static listings or text-based ads, I may soon see video content from advertisers in local search results.
The feature seems linked to settings in Google Ads’ Location Manager and may be enabled through a pre-opted setting in the shared library.
This feature blends paid ads with Google Maps-style immersive experiences, offering a novel way to stand out and show off locations, products, or services more effectively than static listings.
Why we care. For businesses, this update presents significant opportunities to increase visibility and engagement in high-intent local searches. Video ads could greatly enhance how prospective customers engage with local offerings.
Explore the Google Ads Location Manager settings to optimize your business profile and utilize rich media in your ad campaigns.
Yes, but. Right now, it seems the feature is in early testing phases, and its performance versus traditional local ads remains unclear.
There’s also some concern around the creative requirements, as video production can add an extra layer of complexity for advertisers.
The bottom line. Google’s move to integrate video into local search indicates an intent to make ads more engaging, offering businesses new tools to capture attention.
First spotted. This update initially caught Anthony Higman’s eye, who shared details about the new local listing ad type on LinkedIn.
I recently dove into Google Ads Asset Studio to see what all the hype was about. I’ve heard declarations like, “Google just ended all excuses for not running video ads!” and “It’s a total game-changer; no production budget needed!”
The process is supposed to be simple: upload some images and get campaign-ready videos in minutes. Using Google Ads > Tools > Asset Studio, I can manage and scale images and videos effortlessly across various ad formats.
Recent additions like Veo, Google’s AI video model, and Nano Banana Pro suggest we can transform a few product images into engaging video ads almost instantly.
But does it really change the advertising game? Let’s explore if it’s truly worth our time.
From the Think with Google article about AI-generated ads, such as those for Cosmorama, I tried to reverse-engineer their imaginative approach. Unfortunately, despite using Nano Banana and Veo, I encountered many limitations.
For instance, I found the lack of scene-level control problematic. No prompting for video scenes meant I couldn’t guide the animation’s motion or pacing.
When generating videos, anything that resembled a human face—AI-generated or not—caused errors. This restriction limited my asset options significantly.
The audio options were also very limited. Unlike Cosmorama’s videos with cinematic scores, I was stuck with a small set of preloaded audio without the ability to upload custom tracks.
Overall, while Veo 3 introduced significant restrictions within Asset Studio, requiring a shift from expectations of advanced creative freedom.
While simplifying production could be beneficial, if you were expecting full creative control, you might be disappointed.
Thinking about whether Asset Studio truly saves time and effort, my experience suggests it’s a mixed bag. For brands previously in need of full production teams, Asset Studio might offer a faster and more cost-effective solution. However, for agencies or individuals incorporating this into existing workloads, it turns creative constraints into a newfound responsibility.
Regarding AI ad compliance, it’s worth noting there are no current U.S. federal laws against using AI in ads. However, places like New York are setting new precedents with upcoming laws requiring disclosure of AI use.
On the brighter side, if you use Asset Studio with ethical transparency in mind, although there’s no watermark or disclosure methods built-in, Google’s SynthID supports invisible AI tagging.
Could this tool live up to its potential without succumbing to ‘AI slop’? Josh Spanier from Google suggests not to worry, yet it’s essential to maintain control to avoid low-quality AI-generated ads from being published unwittingly.
Asset Studio indeed offers a streamlined way to bring product images to life, optimized for product integrity through tools like Nano Banana 2.
Features like quick trimming and leveraging simple templates show promise in turning around high-performing, concise ad creatives, even doubling CTR compared to previous client efforts.
In conclusion, while Asset Studio isn’t a complete game-changer, it provides tools that democratize creative access for those lacking a full production budget. However, it’s vital to measure the outcomes in terms of conversions and sales.
I’m running tests to see what truly holds up. Stay tuned.
There’s some exciting news from Google Ads that I believe will make our lives a lot easier! A new integration with Google Tag Manager could revolutionize how we set up conversion tracking, making the process quicker and much less error-prone.
Google is working on simplifying one of the trickiest parts of setting up campaigns—conversion tracking—by minimizing the need for manual tag implementation. This change is something I’ve been eagerly waiting for!
Driving the news. During the conversion setup flow in Google Ads, there’s a new option being tested: “Set up in Google Tag Manager.” This was highlighted in screenshots shared by Google Ads Specialist, Natasha Kaurra. I must say, it looks very promising.
This feature appears right alongside the existing installation methods and provides us with the ability to push conversion tracking setups directly into Google Tag Manager.
What’s new. Instead of having to manually copy conversion IDs and labels between platforms—which can be quite tedious—we can now click a new button that opens a pre-filled tag setup inside GTM. I can already see this saving us so much time.
This update means:
fewer manual steps,
less room for implementation errors,
and faster deployment across accounts.
Why we care. As you know, conversion tracking is critical for measuring our campaign performance. This new update significantly reduces the chances of errors and speeds up the implementation between Google Ads and Google Tag Manager, ensuring our data is accurate from the start. Reliable data means we can optimize better and make more informed decisions.
How it works. From the initial screenshots, it seems that users are prompted to select a GTM container, and a suggested tag configuration is then surfaced, ready for publishing. This could be a game-changer for agencies like ours managing multiple clients, working across several containers, or tackling complex tagging setups.
The bottom line. Even though it’s just a small UI change, it’s set to have a huge impact! This new feature will make it much easier for us to get conversion tracking right from the get-go.
First seen. This update was originally shared by PPC News Feed, who credited Google Ads Specialist Natasha Kaurra for spotting it. Don’t you just love how our community stays on top of things?
I’ve been following Google’s strides in ad safety, and their recent updates with Gemini have caught my eye. Gemini’s AI-driven enforcement is not only faster but more accurate, eliminating more than 99% of bad ads even before they appear in 2025. This means we’re seeing fewer false suspensions and stricter adherence to ad policies.
Diving into Google’s 2025 Ads Safety Report, I’m amazed at the scale: 8.3 billion ads were blocked or removed globally, and 24.9 million advertiser accounts got suspended last year. It’s impressive to think that over 99% of these policy-violating ads never saw the light of day, thanks to the power of AI.
Google also pointed out how Gemini’s capabilities significantly improved ad safety:
Gemini slashed incorrect advertiser suspensions by 80%.
The system processed four times more user reports compared to the previous year.
It enhanced the detection of scams by better understanding ad intent.
Looking at the numbers, we see a staggering impact:
602 million scam-related ads removed
4 million scam-linked accounts suspended
4.8 billion ads restricted
480 million web pages blocked or restricted
245,000+ publisher sites actioned
35 policy updates made in 2025
In the United States alone, 1.7 billion ads were removed, and 3.3 million advertiser accounts were suspended in 2025. The main reasons included:
Abusing the ad network
Misrepresentation
Sexual content
Personalization violations
Dating and companionship ads
Why do I care about this? Because stronger AI-driven ad enforcement impacts the way ads run or get flagged. Google claims Gemini enhances precision and reduces unwarranted suspensions, which might prevent unexpected interruptions for genuine brands. However, as AI reviews tighten, we advertisers must ensure complete policy compliance.
Some UK and US advertisers experienced waves of unexplained disapprovals, citing no discernible issues, highlighting the intricacies of automated oversight.
Gemini’s approach to ad enforcement is exciting. By evaluating billions of signals—like account age and user patterns—it’s capable of identifying malicious activity quicker than previous systems. By the end of 2025, most Responsive Search Ads were assessed instantly, blocking harmful material before it could launch. Google aims to apply this capability across more ad formats soon.
Yet, there’s a balance to maintain. Aggressive automation may disrupt campaigns, but Google’s emphasis on nuanced understanding is crucial for reducing incorrect suspensions, which is essential for brands relying on continuous ad visibility.
In conclusion, Google is banking on Gemini to enhance ad safety, aiming to curtail sophisticated scams while assuring advertisers that legitimate activities won’t be hindered by stricter controls.
I’ve noticed that Google Ads tends to produce the same results repeatedly, no matter how much money I invest. This pattern stems from the system being trained by my consistent actions over time.
Previously, achieving success in paid searches was all about optimizing. I would adjust bids, restructure campaigns, refine match types, and add negatives, directly impacting performance.
While this method remains standard for many, during audits, these accounts often appear well-managed on paper—active management, matched targets, proper ROAS. Yet, their performance seems stuck.
Google Ads now builds upon the signals I’ve reinforced. Hearing phrases like “That didn’t work” usually indicates that minor changes didn’t override the ingrained patterns.
What many advertisers call optimization is actually training, and if I’m not careful, I might teach it the wrong lessons.
Why Isolated Optimizations Don’t Work Anymore
The current environment features Smart Bidding, Performance Max, and modeled conversions. These systems learn cumulatively rather than resetting at each change.
If I change my ROAS target today, it won’t wipe away months of established patterns. Shutting down a new campaign prematurely can mark such volatility as something to avoid.
It’s about optimizing for survival—behaviors that get funded, hit targets, and aren’t paused are what the platform focuses on.
When accounts plateau, especially under strong management, it often indicates that the system has been trained to avoid unpredictability—while that’s precisely where growth occurs.
What Training Looks Like in Google Ads
On the backend, Google Ads consistently evaluates the concept of success based on factors like conversion inclusion, valuation, and how I handle volatility.
Over time, these become the signals shaping its behavior, influencing queries, audience priorities, auction strategies, and demand exploration.
For example, if repeat customers easily hit ROAS targets but prospecting fluctuates, the system learns to prioritize what’s safe over what’s incremental.
Common Mistakes in Google Ads Training
These errors often pass for good management, but recognizing them is crucial. Here are a few I’ve noticed:
Mistake 1: Leaning on Easiest Revenue
Encouraging branded searches and repeat customers seems logical, but Google learns that predictable revenue is the ideal.
Shouldering this strategy makes incremental demand suffer as the account conservatively emphasizes what works, causing stagnation.
Mistake 2: Punishing Volatility
Responding to short-term inefficiency quickly by tightening targets or pulling budgets can send a message that exploration isn’t allowed.
This results in prioritizing stability, which eventually limits expansion and innovation, as the account simply recycles existing demand.
Mistake 3: Treating All Purchases the Same
Not all purchases are equal. When everything sends the same signal, Google defaults to what’s easiest to replicate—typically repeat purchases.
This can hinder new customer acquisition, a vital component of sustainable growth.
Intentional Training for Optimal Google Ads
Aligning Google Ads with business goals rather than just ROAS is key. Here’s my approach to intentional training that I’ve found effective:
Maintaining Efficiency Lanes
These are my accounts’ baseline revenue protectors. They include brand campaigns and high-intent terms with stable performance. These are not my growth engines.
Building Growth Lanes
Growth campaigns have broader match types and looser targets, aimed at demand expansion and new customer acquisition.
By separating growth lanes with realistic expectations, I allow them to learn even when fluctuations arise.
Changing Signals Slowly
Constantly adjusting ROAS targets can disrupt the system. I avoid weekly changes to let the data compound for broader query expansion and improved share.
Overall, it’s about accepting gradual growth rather than seeking overnight success.
Managing a Trained Google Ads System
Reflect on your management approach. If you’ve answered “yes” to questions about tightening targets quickly or pausing exploratory campaigns, it indicates your system is merely following the training it’s received.
The focus should shift from speed to thoughtful teaching, constantly evaluating what behaviors I’m reinforcing and how they align with my bigger picture goals.
I want to share an experience that tested my cyber awareness: my Google Ads Manager Account (MCC) fell into hackers’ hands at midnight on January 5. Fortunately, my team wasn’t alone in this ordeal. It’s estimated that hundreds, if not thousands, of similar accounts were hijacked, impacting vast networks of ads.
Reflecting on this unsettling event, I’ve gained valuable insights that I hope will help you safeguard your own MCCs from facing a similar fate.
How Hackers Gained Control of My Account
Despite having two-factor authentication (2FA) in place, the hackers breached my account using an employee’s email. This targeted hack saw them exploiting multiple email accounts before succeeding on their third attempt.
Phishing or password compromises likely granted them initial access. We later discovered that their chosen email had been compromised for months, cleverly bypassing our security by setting up their own 2FA tailored for deceit.
Their takeover was swift, removing all access to our MCC and altering allowed domains to Gmail. They brazenly invited over a dozen people into a newly created MCC under our company name, which thankfully, our clients ignored.
Within just hours, chaos ensued: users were removed, payment methods were altered, and unauthorized campaigns launched. Attempted fraudulent charges reached half a million on some accounts—remarkably without ads running to justify such expenses.
Regaining Control After the Hack
In a stroke of luck, we managed to reclaim our account within eight hours. Financial damage was surprisingly minimal, capped at $100, with unsuccessful credit card charges adding to our recovery timeline.
The journey to restoration relied on clear steps, beginning with contacting Google.
Step 1: Reaching Out to Google
Our first action was reaching out to our trusted Google reps. Their ongoing support proved invaluable, guiding us through the process and maintaining pressure on resolving our cases.
Even if you don’t have a dedicated rep, following the recommended steps still aids in timely resolution.
Step 2: Submitting Necessary Forms
Google directed us to their compromised account resources, prompting us to file multiple Account Takeover Forms for each affected account, including our MCC.
Though initially advised against using this form for MCCs, updated guidance now includes it as a vital step in swift recovery.
Step 3: Client Communication
I urged our clients with remaining access to disconnect from the compromised MCC and connect to secure emails. This immediate action helped us secure accounts and minimize potential damage.
Step 4: Managing Billing Chaos
Disconnecting was pivotal in resetting billing details. By editing the payment manager, we managed to undo the tangled web the hackers spun, simplifying future re-connections.
Step 5: Analyzing Change History
Upon regaining access, analyzing change history at MCC speed was essential. The detailed timestamps allowed us to construct a timeline and rectify ongoing issues.
Implementing Best Practices
A number of best practices helped us not only in recovery but also in preventing future breaches. Let’s dive into some critical strategies.
Ensure Client Access
I believe ethically, clients should always have access to their accounts. Additional admin presence provided a safety net, enabling us to regain control swiftly.
Google also supported us on blocking unauthorized changes, reinforcing the importance of multiple secure admin accounts.
Maintain MCC Integrity
Cleaning up by removing obsolete clients and unused MCCs is now a priority. This preventive measure could have lessened our vulnerability pre-hack.
Restricting Access Wisely
The breach was through a junior member needing minimal access. Restricting admin access to necessary personnel reduces potential entry points.
Despite their persistence, this measure could limit hacker penetration.
Financial Safeguards
Opting for credit or invoice payments meant banks swiftly flagged any irregular transactions, ensuring no charges landed.
Nurture Key Relationships
Building relations with Google reps and agency peers is vital. Their involvement during crisis management cannot be understated.
Proactive Protection Measures
Keeping your MCC secure demands proactive strategies. Here are some to fortify your digital fortress.
Initiate a Complete Reset
By periodically purging all account users and device sessions, we could have silently ousted the lurking hacker, curtailing their prepared attack.
Fortify with 2FA and Domains
Establish dedicated 2FA for each user, with authenticators ensuring stronger defenses compared to traditional device notifications, which attackers exploited.
Review and Limit Access
Minimizing access helps defensively, as fewer touchpoints result in decreased vulnerability.
Deploy Multi-party Approvals
Google’s recent multi-party approval feature requires a second admin confirmation for major changes, adding a security layer.
Regular Account Backups
Leveraging Google Ads Editor for backups ensures past configurations are recoverable, mitigating potential disruptions.
Secure Your Passwords
Encouraging unique, site-specific passwords shields MCCs from cascading breaches originating from other compromised accounts.
Invest in Monitoring
Employing cybersecurity tools and experts provides peace of mind. Their vigilance uncovers phishing attempts early, shoring up defenses.
A Client’s Caution: Stay informed about access requests for your Ads. Verify unexpected ones with your managing team to preempt unauthorized intrusions.
Stay Vigilant and Secure
While Google evolves its security toolkit, ensuring your practices are robust aids in thwarting breaches. Let this recounting bolster your prep, mitigating future risks.
I recently discovered some exciting news that Google Ads has introduced a more robust Merchant API. This new API is crafted to offer advertisers scalable and feature-rich tools for handling product data, especially as we prepare for the shutdown of the Content API for Shopping.
Google is steering us toward a more modern, scalable infrastructure for Shopping integrations. This shift brings cutting-edge capabilities, including AI tools, directly into our scripting workflows.
What’s happening: Starting April 22nd, Google Ads scripts will support the Merchant API. This change comes as we approach the August 18th retirement of the Content API for Shopping. This new API will be available as an Advanced API within the scripts editor while we can still use the Content API until its official sunset.
What’s new: The Merchant API introduces a modular architecture, breaking down functionality into sub-APIs for quicker updates, easier maintenance, and fewer disruptions. This setup enhances capabilities with features like the Google Product Studio API for generative AI, APIs dedicated to product and store reviews, and a Notifications API for real-time updates.
Additionally, we now have more control over data management. This includes handling supplemental product data, managing local and regional inventories, and running promotions—all within an omnichannel system while still supporting our legacy setups.
Why it matters: The Merchant API provides a more flexible approach to managing product data at scale. It’s especially beneficial for complex or omnichannel setups and introduces new capabilities like AI-driven content tools that can boost feed quality and performance. With the imminent retirement of the Content API, transitioning to this new system is crucial to avoid disruptions and maintain competitiveness.
Yes, but: Switching to the new API requires adjustments, particularly for those of us with custom scripts or complex feed setups tied to the legacy API.
Bottom line: For those of us using scripts, this is our chance to upgrade to a more powerful and scalable integration, enabling new features while future-proofing our Shopping workflows before the cutoff date.
