Tag: Google Ads

Google Revolutionizes Video Ads with Automatic End Screens

Recently, I discovered that Google has started adding AI-generated conversion cards at the end of video ads. This automatic feature effectively overrides any existing end screens that we might have set up.

Google’s new auto end screens append an interactive, auto-generated card to eligible video ads. It’s designed to guide viewers toward converting, making our job as advertisers a bit simpler.

How it works: Right after the video concludes, an interactive screen pops up for a few seconds.

What’s impressive is how it automatically pulls in campaign details like app name, icon, price, and even a direct install link for app promotions.

The convenience doesn’t stop there; these end screens appear by default on any eligible ads, so we don’t have to spend time setting them up manually.

Why we care: This change means no more manual post-roll calls-to-action. However, it also alters the end of our video ads, replacing any custom YouTube end screens we might have built without warning. This can be a crucial point since the last thing viewers see can significantly impact their decision to convert.

With Google planning to roll this out more extensively, it’s crucial we understand these changes before they apply to more of our campaigns.

The catch: When we enable auto end screens, any manually added YouTube end screens will be overwritten, an important point to remember for maintaining control over our branding.

Current limitations: As of now, this feature is only available for in-stream ads in mobile app install campaigns. Broader rollout plans are in the works, but no definite timeline has been set.

What stays the same: Rest assured, auto end screens don’t affect our billing or view counts. They’re simply an added layer of engagement after our video has completed playing.

Next steps: It’s essential for those of us running mobile app campaigns to review our video ads. We should ensure auto end screens are working as expected and that our custom YouTube end screens aren’t being unexpectedly replaced.

As Google expands this feature, establishing an early review process will prepare us well for broader eligibility.

Dig deeper: For more details on auto end screens for video ads, click here.

Inspired by this post on Search Engine Land.

March 10, 2026
Get Ready for Google Marketing Live 2026: Key Details Revealed

I recently received thrilling news about Google Marketing Live 2026, which is officially scheduled for May 20. I’m eagerly anticipating the event where Google will unveil the latest enhancements in advertising, AI, and campaign automation.

In fact, I discovered the date through an email from the Accelerate with Google program. This communication not only confirmed the event date but also invited entries for the prestigious Google Ads Impact Awards.

You might be interested to know that the winners of these awards will be announced during the event, adding an extra layer of excitement.

Why it matters to me. As a user of Google Ads, I’m always on the edge of my seat for this annual event. It’s the moment Google reveals its groundbreaking innovations—new AI features, campaign types, and measurement tools that will hugely impact how I manage and optimize my campaigns.

Each year, the most pivotal updates in Google’s advertising strategies are first introduced at this event. It provides invaluable insights into the future of digital advertising.

The bigger picture. This year’s event aligns with Google I/O 2026 (May 19–20), which goes beyond just advertising. I/O covers the broader Google ecosystem including AI and Search technologies, which often guide the direction of advertising products.

What to watch for. I’m eagerly expecting announcements related to AI-driven advertising, automation, and enhanced performance metrics. It’s a must-watch for any marketer keen on staying ahead of Google’s ad strategy for the coming year.

First heard about it. The PPC News Feed by Hana Kobzová was where I initially got the scoop. It’s always exciting to find such vital information from reliable sources I trust.

Explore further. For those of you interested in what happened last year, don’t miss the Google Marketing Live 2025 recap.

Inspired by this post on Search Engine Land.

March 9, 2026
Urgent EU Political Ads Deadline: Google Emails Advertisers
I recently received an email from Google reminding advertisers about a critical deadline. They’re reaching out directly, requiring us to confirm if our campaigns include EU political ads by March 31st.

Why this matters to us. This requirement isn’t optional. The EU regulation mandates Google to verify the political ad status of every active campaign, and missing this deadline could mean compliance issues for us.

Here’s what’s happening. Google needs each advertiser to declare whether their current campaigns involve EU political ads. This request applies across all campaigns, and we must act by March 31, 2026.

How can we comply? Google offers three ways to submit our confirmation:
- Campaign level — In the campaign settings, we can select ‘EU political ads’ to confirm for individual campaigns.
- Multiple campaigns — By visiting the Campaigns tab, we can use the ‘EU political ads’ option to confirm multiple campaigns simultaneously.
- Account level — We can confirm for all existing and new campaigns at once. Opting ‘No’ at the account level applies to every campaign, but we can override this anytime.
Read between the lines. The account-level option seems the most efficient for most of us who know our campaigns don’t involve EU political ads. Google makes it hassle-free to reverse our choice later, so there’s no harm in acting early.

The takeaway. It’s time to check our inboxes because Google is contacting us. If you’re targeting EU audiences, ensure you log in and complete the confirmation before the deadline to remain compliant.

First noticed. This update was first observed by Paid Search expert, Arpan Banerjee, who shared the communication details on LinkedIn.

Inspired by this post on Search Engine Land.
March 6, 2026
Boost Revenue with AI Max: Benefits and Challenges Uncovered
I’ve come across something intriguing in the world of digital advertising—Google’s AI Max. After *examining independent research and hearing straight from Google Ads Liaison, I’ve discovered some exciting yet intricate trade-offs with AI Max that you might want to know about. Let’s dive in!

The first thing that caught my attention is how AI Max increases revenue while driving up costs. Mike Ryan from Smarter Ecommerce analyzed over 250 campaigns and noted this trend. It’s clear that while the outcomes can be promising, we still have a lot more testing to do.

Why we care. Google’s introduction of AI Max isn’t just a minor upgrade. It’s a completely new approach to Search campaigns, shifting from traditional keyword syntax to intent matching. As someone who looks for growth opportunities, I see both potential benefits and risks involved in this shift.

By the numbers. After analyzing the data, here’s what emerged:
- Median revenue increased by 13%
- Median CPA rose by 16%
- ROAS varied anywhere from a 42% increase to a 35% decrease
According to Google, advertisers activating AI Max often notice a 14% boost in conversions or conversion value at nearly the same CPA or ROAS. If you’re relying on exact and phrase match keywords, this figure jumps to 27%.

In my experience, turning on AI Max can feel like a gamble. While you might see an uplift in results, don’t expect a corresponding boost in efficiency, as Mike Ryan would agree.

What AI Max actually is. Unlike previous iterations, Google is bringing PMax-style automation into traditional Search campaigns through AI Max. This transformation introduces three main features:
- Search Term Matching, which includes broad match expansion and keywordless targeting
- Text Customization through dynamic ad copy
- Final URL Expansion for automated landing page selection
Four pitfalls identified by Smarter Ecommerce:
- Broad match cannibalization: Often recycling existing coverage instead of discovering new queries.
- Competitor hijacking: In some cases, AI Max aggressively targets competitor brand terms, consuming significant Search impressions.
- Reporting overload: The sheer volume of search term and ad combination reports can be overwhelming without automation.
- Search Partner Network blowouts: Campaigns sometimes see disproportionate impressions on SPN with low conversion rates compared to standard Google Search.
Between the lines. Interestingly, Google’s impressive 14% uplift statistic notably omits the retail sector—a critical exclusion for ecommerce advertisers, according to Mike Ryan. There’s also a nuanced irony here. If you’re already leveraging Broad Match, DSA, and PMax, you might be considering AI Max, but these accounts potentially benefit the least incrementally.

What’s next. I had a fascinating discussion with Google Ads Liaison Ginny Marvin, where she confirmed AI Max would eventually replace Dynamic Search Ads, although no official timeline exists. Historically, though, such changes take about a year post-announcement.

Mike Ryan advises starting to incorporate AI Max’s keywordless features within your existing Search campaigns right now while gradually phasing out DSA instead of migrating to PMax.

His take is one of cautious optimism. With about 16% of advertisers dipping their toes into AI Max, few have committed fully. If I could offer advice, it would be to begin small, audit thoroughly, and don’t let the fear of missing out on AI Overviews dictate your choices.

The report. You can delve into The Ultimate Guide to AI Max for Google Search for more comprehensive insights.

Inspired by this post on Search Engine Land.
March 5, 2026
Authenticity in PPC: Navigating AI-Driven Ad Creativity

As someone deeply involved in PPC advertising, I often wonder about the authenticity of our ads in this era dominated by AI creativity. With AI now capable of generating endless ad variations, the ethical landscape has dramatically shifted.

PPC platforms today are hungry for assets. What used to be basic text ads and keyword bids has transformed into an AI-powered ecosystem. Tools in Google Ads can now remove backgrounds, create lifestyle scenes, and even generate synthetic humans within minutes. However, just because technology permits these capabilities doesn’t mean every brand should fully adopt them.

These advancements force us, as PPC advertisers, to confront some tough questions:
Do we compromise authenticity for the sake of efficiency?
What should be the extent of AI’s role in our brand’s operations?
Would our clients maintain trust in us if they were aware of how we use AI in our processes?

To navigate these decisions, a brand integrity hierarchy can be valuable. This four-level framework helps gauge how much AI manipulation your brand, industry, and audience can accept.

Why PPC Demands Its Own AI Ethics Framework

Current AI ethics guidelines don’t take into account the unique dynamics of paid search. PPC isn’t merely a brand storytelling channel; it’s a high-volume, fast-paced system requiring constant image production across various audiences, formats, and placements.

```json
{
"alt": "Social media thread discussing ethical concerns of AI in advertising with various user comments.",
"caption": "A lively discussion unfolds on social media about the ethical implications of AI in advertising, highlighting concerns over false advertising and the authenticity of AI-generated images.",
"description": "This image shows a social media thread where users engage in a discussion about the ethical concerns surrounding AI-created images in advertising. The original post questions the potential issues, such as false advertising, with AI-generated visuals. User comments include concerns over the difference between fantasy and reality, and the ethical practices of AI tools, particularly Midjourney. The thread emphasizes the impact of AI on consumer trust and advertising practices."
}
```

I face the challenge of creating fresh lifestyle images at a pace that traditional creative workflows simply can’t match. Simultaneously, platforms like Google and Bing enforce strict policies around accurate product representation, especially within Merchant Center, where even minor visual inaccuracies can lead to disapprovals or account risks.

The pressure from platforms is immense. Google Ads, for instance, has introduced tools like Nano Banana Pro, making Asset Studio an AI co-creation environment. While these tools are promoted as ways to enhance performance, they also push us toward using AI-generated backgrounds and lifestyle images.

Most brands can’t afford the necessary photoshoots to keep up with such demand, yet the constant need for images across channels is unavoidable if you want to remain competitive. This mix of policy risk, creative pressure, and platform-pushed tools is distinct to PPC, underscoring why the industry needs its own AI ethics framework.

Inspired by this post on Search Engine Land.

March 4, 2026

Revamp Your Vehicle Listings with Google’s ‘Build to Order’ Feature

When I discovered Google’s latest update to the Merchant Center, I was thrilled. They’ve added a ‘build to order’ option for vehicle listings, offering sellers like me a streamlined way to display customizable models that customers can factory-order.

I immediately saw how this attribute could revolutionize my listings. It’s designed for dealers who, like myself, don’t always have every model available on the lot. This addition allows us to tag vehicles that aren’t in stock but can be tailored and ordered. It’s a game-changer!

What needs to change. I’m aware that updating my listings involves two critical steps. First, I need to adjust my structured data by setting availability to BuildToOrder. Secondly, I must align my Merchant Center feed with the same availability code. Ensuring consistency is key to avoid listing disapprovals.

Instruction on when to use the availability `[availability]` attribute in GMC

Why we care. This update is a breath of fresh air for us sellers. Until now, conveying a vehicle’s unavailability for immediate pickup was challenging. Now, the ‘build to order’ option clearly mirrors the operations of modern automakers, especially those like Tesla and Rivian that offer direct-to-consumer customization. It helps set clear expectations for our customers and ensures our data is pristine for Google.

```json
{
"alt": "Guidelines for product availability status including in stock, out of stock, preorder, backorder, and build to order.",
"caption": "Explore the different product availability statuses: from in stock and out of stock to preorder, backorder, and even build to order for vehicle ads.",
"description": "This image illustrates guidelines for product availability statuses required for all products. It lists supported values businesses can use: in stock, out of stock, preorder, backorder, and build to order, with detailed descriptions for each. These values ensure that product feed information matches the website details, facilitating smooth transactions. This guide aids businesses in managing inventory visibility effectively."
}
```

The fine print. Remember, if a vehicle is categorized as ‘build to order,’ it must have the condition attribute set to ‘new.’ If it’s listed as ‘used,’ it will be disapproved. Google regards build-to-order vehicles as newly configured, not pre-owned.

Bottom line. For anyone like me selling customizable or factory-order vehicles, this update is a more precise way to reflect vehicle availability. However, it only works if my feed, structured data, and condition fields are in synchronization.

I first learned about this update from Google Shopping specialist Emmanuel Flossie, who kindly explained how to implement it on his blog.

Dig deeper. For more insights, check out the “Availability [availability]” Google Merchant Centre help doc

Inspired by this post on Search Engine Land.

March 4, 2026

Google Ads Reporting Glitch: What It Means for Your Campaigns

Many advertisers might be experiencing discrepancies in reporting on Google Ad Manager, which could impact their ability to effectively track performance and optimize their campaigns.

Google has acknowledged a disruption in the Google Ad Manager service, as noted on the Google Ads Status Dashboard, and they are actively investigating the matter.

The incident surfaced at 13:49 UTC on March 4. By 13:54 UTC, Google identified the issue where users could log into Ad Manager but not access the most current data.

What’s happening: The issue primarily affects reporting consistency. There’s a mismatch between Ad Exchange match rate and request values in Ad Manager’s reports when compared to the legacy reporting tool, which complicates data interpretation.

Why this matters to me: This discrepancy in reporting can hinder my ability to accurately evaluate performance and make informed decisions on campaign pacing, forecasting, and revenue adjustments.

What it means: While I’m still able to log into Ad Manager, the issues may lead to inaccuracies in my data, affecting campaign insights temporarily. Although there’s no complete outage reported, the mismatch in metrics can pose challenges for real-time performance analysis.

Next steps: Google is actively investigating the situation and will issue updates as more information becomes available. Meanwhile, I’m advised to monitor the status dashboard for further updates and reach out to support if I encounter any unlisted issues.

Inspired by this post on Search Engine Land.

March 4, 2026

Google’s Big Shift: Customer Match Uploads Change Coming in April 2026

Recently, I discovered that Google is making a significant change that could impact how I manage ads. Starting from April 1, 2026, Google will block any inactive developer tokens from uploading Customer Match data through the Google Ads API.

In a heads-up to developers like me, Google has sent out messages explaining this upcoming change. If I haven’t uploaded Customer Match data using my developer token in the last 180 days, I won’t be able to do so through the Ads API anymore.

What’s changing: If I fall into that inactive category after April 1, any attempts to upload Customer Match lists through the Google Ads API will simply fail. Google advises moving these tasks to the Data Manager API. I’m reassured that this change only affects Customer Match uploads; other campaign management activities will continue as usual in the Google Ads API.

Why Google says it’s doing this: According to Google, the Data Manager API provides a more modern and unified data ingestion system across its platforms, featuring stronger security protocols. It also offers functionalities that aren’t available in the Ads API, such as confidential matching and improved encryption, reflecting Google’s push for centralized and secure audience data management.

```json
{
"alt": "Google Ads API email about changes to Customer Match uploads effective April 1, 2026.",
"caption": "Important updates to the Google Ads API: Learn about new requirements for Customer Match uploads starting April 2026.",
"description": "This image displays an email from Google Ads informing API developers about upcoming changes to Customer Match uploads. Effective April 1, 2026, developers must use the Data Manager API instead of the Google Ads API for uploading Customer Match data. The email emphasizes the importance of adapting to these changes for continued functionality. It explains the benefits of the Data Manager API, including enhanced security and features like confidential matching and encryption."
}
```

Why this matters to me: If neither I nor my developers have interacted with Customer Match uploads over the last six months, this could be a sudden disruption. Post-April 1, 2026, this previous routine will be obsolete, causing errors in place of successful uploads.

The takeaway: I need to verify if my developer token has been recently used for Customer Match and plan for a transition to the Data Manager API before Google implements this new policy.

First noticed: This update was initially spotted by Paid Search specialist Arpan Banerjee, who shared the information he received from Google on LinkedIn.

Inspired by this post on Search Engine Land.

March 4, 2026

Unlocking the Power of Google Ads Retargeting Segments

When I first started thinking about Google Ads retargeting, I assumed it was all about banner ads chasing people across the web. But I’ve since learned that our first-party data is now the fuel for AI performance in advertising.

One of my go-to strategies in Google Ads is retargeting, which involves showing ads to individuals who already know about my business. If you still see retargeting as merely display campaigns with flashy banners, we’re missing out on the transformative potential of “Your data segments.”

I want to dive deeper into how we can use our proprietary audience data in innovative ways while also steering clear of common pitfalls as we move into 2026 and beyond.

The concept of “Your data segments” in Google Ads is a nuanced take on retargeting. Essentially, it represents all the retargeting lists in our accounts, rebranded under Google’s parlance.

Google Ads offers a suite of retargeting options, akin to what you’d find on platforms like Meta or LinkedIn. I find grouping them into four main categories quite helpful:

Website Visitors: This category targets visitors to our website, tracked through Google Tag Manager or Google Analytics.

App Users: If your brand has a mobile app, pulling data from Firebase or another analytics tool into Google Ads lets us retarget app users.

Customer Match: This is the ultimate form of retargeting. We can upload our proprietary data like email addresses to Google Ads to find these very users across Google’s platforms.

Content Engagers: This targets individuals who’ve interacted with our content on platforms Google owns. This includes YouTube viewers or users entering from search results, known as the Google Engaged Audience.

Now, when it comes to uploading “your data segments,” some might wonder if it’s worthwhile without an immediate plan for retargeting. Interestingly, these segments do more than just aid ad targeting.

Even absent any retargeting campaigns, uploading these lists can enhance Smart Bidding and Optimized Targeting. For example, providing a customer list signals to Google, “These are our real buyers.” Even if I don’t use this for direct audience signals in Performance Max, Google can leverage it for understanding likely converters.

Various campaigns handle audience data differently, so having clarity on these approaches is crucial for crafting an effective targeting strategy.

For instance, in Search, Shopping, and Display campaigns, we have three tactics with our data segments: Targeting, Observation, and Exclusion. Meanwhile, Performance Max and App Campaigns allow the inclusion of data segments within the audience signal and recently added exclusion options.

If new to retargeting, Demand Gen campaigns are a solid starting point since they emphasize visual storytelling, harmonizing well with our lists.

A pitfall I’ve encountered? Over-segmenting. The urge to create detailed lists like “Tuesday cart visitors” can arise, but unless your ad spend is exceptionally high, such granularity could hinder us. Google’s AI flourishes with dense data, so simplicity is key for efficiency.

Keeping strategies straightforward and trusting the AI with our unique data can lead to powerful retargeting outcomes.

This guide is part of the ongoing Search Engine Land series, where we explain Google Ads features for optimal results in under three minutes.

Inspired by this post on Search Engine Land.

March 4, 2026

Combat Click Fraud in Google Ads: Strategies for Safety

From Video Partners to Search, fraud exposure is anything but uniform. Discover where invalid clicks tend to spike and how you can transition your efforts toward traffic with higher intent.

I’ve always considered Google Ads as the it-place for ad spending when stacked against social platforms. Yet, the sheer scale doesn’t make it bulletproof. Click fraud is a stubborn adversary, threatening the efficiency of our budgets based on ad placement.

Google Ads provide a vast reach, but not all campaigns face equal risks. Some are more vulnerable to malicious activities. To safeguard our margins, grasping what constitutes click fraud, its origins, and shielding our campaigns is essential.

What are invalid clicks?

Invalid clicks are false interactions lacking genuine consumer intent. They’re not driven by real human interest; thus, they skew performance data and drain budgets without potential for conversion. They mainly arise from these sources:

Botnets: Hijacked devices under a “botmaster” generate immense automated traffic mirroring human behavior to inflate metrics or initiate DDoS attacks.
Click farms: Low-paid workers or scripts manually clicking ads create a façade of engagement, misleading brands on campaign effectiveness.
Ad injection and malware: Malicious software injects unauthorized ads or forcibly redirects users, hijacking legitimate revenue and eroding trust.
Pixel stuffing and ad stacking: Ads served but unseen. Pixel stuffing compresses ads into invisible pixels; stacking layers ads in one slot, resulting in paid impressions without exposure.

Dig deeper: Own your branded search: Building a competitive PPC defense

The rising trend of fraud

Fraud Blocker recently determined the average invalid click rate across Google Ads at 11.4%, and it keeps growing.

To illustrate, in 2010, the rate was 5.9%, jumping to 12.3% by 2024. This doubling points to AI-powered bots and malware that skillfully bypass basic security.

Invalid click rates fluctuate depending on campaign setup, driven by:

```json
{
"alt": "Bar chart showing the increase in average invalid click rate on Google Ads from 2010 to 2025.",
"caption": "The rising tide of invalid clicks: Google Ads sees a significant climb in unwanted clicks from 2010 to 2025, nearly doubling in 15 years.",
"description": "This image displays a bar chart illustrating the increase in average invalid click rates on Google Ads over the years 2010 to 2025. The data suggests a consistent upward trend, showing that the rate has nearly doubled within this period. Presented by Fraud Blocker, the chart highlights years 2010, 2015, 2020, 2021, 2022, 2023, 2024, and 2025, with percentages ranging from around 6% in 2010 to about 11% in 2025, suggesting a need for enhanced ad fraud prevention measures. This visual is effective for discussions on digital marketing challenges and ad fraud issues."
}
```

Industry competition: High CPC fields like legal and insurance are prime targets for adversaries exhausting budgets through clicks.
Targeting parameters: Broader keywords or regions high in bot activity can flood “junk” traffic.
Refinement tools: Negative keywords and audience exclusions form a barrier against unwanted clicks.

Campaign hierarchy: Which are the biggest violators?

Risk levels vary significantly across Google Ads inventory. Here’s how different campaign types rank in exposure:

The biggest risk: Google Video Partners

Invalid traffic in Video Partners is notably high, extending beyond YouTube to third-party sites.
Many sites provide little control, resulting in views from bots or insignificant placements.

Display campaigns: Highly vulnerable

Display ads often face low-quality or AI-created sites.
Sometimes, over half the clicks on a site prove invalid.
Major publishers are more secure, but there’s variability in network risk.

Shopping and Demand Gen: The automation tax

Automation leads to clicks from price-tools and bots.
These clicks, although not always malicious, distort optimization data.

Performance Max: Hidden exposure

Spreads risk across Google’s ecosystem.
Identifying traffic sources is challenging, leading to unnoticed invalid clicks.

Search: The safest bet

Search campaigns are most secure.
Simulating genuine search behavior is difficult for bots.
Yet, even in safe realms, a 2% fraud rate can hurt financially, especially in high CPC arenas.

How to mitigate the risks

In helping clients across various industries, identifying fraud onset patterns tailored to sectors remains vital. Our approach is proactive. Shifting from broad settings to a focused, high-intent strategy is key.

Here’s a table highlighting patterns we monitor to curtail invalid click rates:

Factor	Higher risk (Aggressive)	Lower risk (Strict)
Location	Global or “Presence or Interest”	“Presence Only” (User is physically there)
Keywords	Broad match / Generic terms	Exact match / Long-tail phrases
Networks	Including “Search Partners” and “Display”	Google Search Network only
Exclusions	No negative keywords or placement lists	Robust negative lists and app exclusions
Scheduling	24/7 (Bots often spike at night)	Custom schedules aligned with business hours

To cut down fraud exposure effectively, here’s what we can do:

Audit placement data: Regularly review ad placements to exclude sites or apps with high click rate but low conversion.
Limit AI Max reliance: While automation offers power, a “set and forget” approach invites wasted spend. Maintain manual oversight.
Review refunds: Google may refund for detected fraud, but subtle cases can slip through. Compare internally logged data with Google’s to find inconsistencies.

Dig deeper: PPC in the age of zero-click search: How to stay profitable

Campaign structure is your first fraud defense

Google is far from a monolith. Its vast ecosystem houses diverse environments where fraud risk varies immensely.

Focusing on quality traffic threats improves data integrity, optimization precision, and acquisition costs. In today’s market, the strategic campaign structure is vital to success.

Inspired by this post on Search Engine Land.

March 4, 2026