AI Max: Optimize Ads with CrUX Data in 2026

In 2026, running AI Max campaigns without digging into ad experience metrics is just leaving money on the table. You have to look past simple clicks and conversions to see how people actually interact with your ads and landing pages, because that’s what separates you from the competition. It’s the difference between a user who bounces immediately and one who sticks around to convert.

Accessing CrUX Reports within AI Max

To start using ad experience metrics with your AI Max campaigns, you first need to find and make sense of the Chrome User Experience (CrUX) reports. Google pushed these reports deeper into the AI Max platform back in late 2025, since they’re a direct measure of ad quality and how happy (or frustrated) users are.

Working through to Performance Insights

You’ll find the CrUX reports in the Performance Insights section of your 2026 AI Max dashboard. Just log into your main account and follow these steps:

1. On the left-hand navigation pane, locate and click Insights & Reports.
2. From the dropdown menu, select Performance Insights. This opens a new view dedicated to various performance metrics, including user experience data.
3. Within the Performance Insights dashboard, look for a tab labeled User Experience Metrics. Click on this tab.

This screen gives you a direct feed of core web vitals (CWV) data from the CrUX dataset for all the URLs tied to your AI Max campaigns. You’ll see the classic metrics like Largest Contentful Paint (LCP) and Cumulative Layout Shift (CLS), but keep in mind that by 2026, Interaction to Next Paint (INP) has mostly replaced First Input Delay (FID) as the go-to metric for responsiveness, so that’s the one you need to watch.

Interpreting CrUX Data for Ad Relevance

Looking at the CrUX numbers isn’t the point. You need to connect them to your ad experience. For example, a bad LCP score means people are staring at a blank screen waiting for your content to load, which is a great way to increase bounce rates on your landing pages. A high INP means the page is sluggish when someone tries to click or type, which is just plain frustrating for a potential customer.

Pro Tip: Pay particular attention to the Origin Summary versus URL-specific data. The origin summary gives a general overview of your entire domain, while URL-specific data pinpoints issues on individual landing pages linked to your ads. Often, an overall healthy origin can mask specific problematic landing pages.

Common Mistake: A common mistake is brushing off the “Good”, “Needs Improvement”, and “Poor” classifications in AI Max. These labels are Google’s actual thresholds for what it considers a decent user experience. You should be shooting for “Good” on everything. A Statista study confirmed this, showing pages with “Poor” CWV scores had a 15% lower conversion rate on average than pages in the “Good” category.

Expected Outcome: Check this section regularly. You’ll get a clear, data-backed picture of exactly how fast and responsive your ad landing pages are. That information is what lets you find and fix the specific bottlenecks that are killing your conversions before they can do more damage.

Setting Up Custom Alerts for Ad Experience Metrics

Don’t wait for your campaign performance to drop to find a problem. AI Max lets you set up custom alerts that tell you the moment your ad experience metrics dip, so you can fix a small landing page issue before it turns into a massive waste of ad spend.

Configuring Alert Triggers

You can set up alerts right from the Performance Insights section.

1. While in the User Experience Metrics tab, look for a button labeled Create Custom Alert, typically located in the top right corner of the dashboard.
2. Clicking this button opens a modal window for alert configuration.
3. You’ll be presented with options to select the metric (e.g., LCP, INP, CLS). Choose the metric you want to monitor.
4. Define your threshold. For example, you might set an alert to trigger if your INP exceeds 500 milliseconds for more than 24 hours. Google’s “Good” threshold for INP is typically below 200ms, so 500ms would indicate a severe problem.
5. Specify the scope: whether the alert applies to your entire domain (Origin) or specific URLs. For granular control, select “Specific URLs” and input the landing page URLs most critical to your campaigns.

Editorial Aside: I see a lot of marketers set these thresholds way too loose at first. Set an ambitious target that makes you a little uncomfortable. It means you’re actually pushing for better page performance, which leads to happier users and better campaign results. Simple as that.

Defining Alert Notifications

After setting the conditions, decide how you want to be bugged about it.

1. Within the same alert configuration modal, navigate to the Notification Settings section.
2. Select your preferred notification channel: email, in-platform notification, or integration with external tools like Google Chat or Slack (if enabled via AI Max’s integrations hub).
3. Specify the frequency of notifications (e.g., once per day, immediate). For critical metrics like INP on high-spending campaigns, immediate notification is often warranted.
4. Add recipients. You can include team members who are responsible for landing page optimization or campaign management.

Common Mistake: The classic mistake here is setting up way too many alerts or not enough. Too many and your team just starts ignoring them (alert fatigue is real). Too few and you’ll miss a major performance drop. I’d suggest starting with alerts for your main metrics, INP and LCP, on your highest-traffic landing pages. You can always add more later as you figure out what your team can handle.

Expected Outcome: The result? You get an alert the moment your landing page experience starts to suck. Your team can jump on it, fix the problem, and stop wasting ad spend on a page that’s just frustrating users.

Using the “Experience Score” Dashboard

Individual metrics are great, but the “Experience Score” dashboard, which AI Max rolled out in early 2026, is even better. It rolls up all those user experience signals into a single score for your campaigns and ad groups, so you can immediately see what’s broken and needs fixing.

Overview of the Experience Score

The Experience Score is basically an AI-generated grade for your landing pages. It takes all the key UX signals, CrUX data, load speed, interactivity, visual stability, and boils them down to one number. It’s the fastest way to see if your landing pages are healthy or in trouble.

1. From the AI Max main dashboard, click on Campaigns in the left navigation.
2. Select All Campaigns or a specific campaign you wish to analyze.
3. Within the campaign view, you’ll see a new tab labeled Experience Score alongside your traditional “Ads & Extensions” and “Keywords” tabs. Click on it.

This dashboard shows a score from 0 to 100 for your campaigns, ad groups, and specific landing pages, and it even breaks down which factors (like LCP or INP) are hurting your score the most.

Identifying Underperforming Segments

The best part about the Experience Score is how fast it shows you which parts of your campaign are underperforming.

1. Sort your ad groups or landing pages by their Experience Score in ascending order. This immediately brings the lowest-performing assets to the top.
2. Look for a column labeled “Impact Factor” or “Improvement Potential.” AI Max’s algorithms analyze historical data to estimate how much a better experience score could improve your conversions or reduce bounce rates for that specific segment.
3. Drill down into ad groups or landing pages with scores below 75. These are often prime candidates for optimization.

Let’s say your ad group for “luxury watches Atlanta” has a garbage Experience Score and the dashboard flags high INP as the cause. Now you know the landing page is probably laggy because of some heavy JavaScript, not because your ad copy is bad. That tells you exactly where to send your dev team to fix the problem. I can’t tell you how many times I’ve seen fixing a real, technical issue like this produce a way bigger lift in conversions than rewriting ad copy for the tenth time.

Common Mistake: Don’t treat the Experience Score like a vanity metric. A higher score means lower bounce rates, more conversions, and a better ad quality score from Google, which directly lowers your cost-per-click. As HubSpot’s 2026 marketing report points out, websites with excellent page experience metrics just flat-out perform better in both paid and organic search.

Expected Outcome: You end up with a clear to-do list for optimizations. No more guessing. You can put your team’s time and money into the fixes that will actually improve campaign performance.

Implementing A/B Tests Based on CrUX Data

After you’ve used CrUX and the Experience Score to find pages that need work, you need to test your fixes. The experimentation module inside AI Max is built for exactly this purpose.

Setting Up an Ad Experience Experiment

AI Max lets you create experiments to test changes on your landing pages that should affect your ad experience metrics.

1. From your AI Max dashboard, navigate to Experiments in the left-hand menu.
2. Click New Experiment.
3. Select Landing Page Optimization as the experiment type.
4. Name your experiment (e.g., “LCP Improvement Test – Product Page A”).
5. Choose the campaign or ad group you want to run the experiment on.

This is where you connect your CrUX data to a real test. If CrUX told you a product page has a terrible LCP, you’d set up an experiment with a new version of that page. Maybe the variant has better image compression, uses lazy loading, or cuts out some third-party scripts.

Pro Tip: Quick tip: Test one thing at a time. If you’re trying to fix LCP, only change things that affect LCP, like image sizes. If you’re going after INP, focus on JavaScript execution. That’s the only way you’ll know for sure which change actually made the difference.

Analyzing Experiment Results with Ad Experience Metrics

After your experiment runs long enough to get statistically significant results (AI Max usually suggests a duration), it’s time to check the numbers.

1. Return to the Experiments section.
2. Click on your completed experiment.
3. AI Max will present a summary of results, typically focusing on conversion rates and cost-per-conversion.
4. Importantly, look for the “Experience Metrics Comparison” section within the experiment report. This section directly compares the LCP, INP, and CLS of your original page versus the variant.

When the results come in, if your variant page shows a 500ms drop in LCP *and* a higher conversion rate, you’ve got a clear winner. You’ve just proven that a specific technical improvement led to a better business outcome. That’s how you manage AI Max campaigns intelligently, by connecting the dots instead of just guessing.

Expected Outcome: This gives you the confidence to roll out landing page changes that you know will work, improving not just the user experience but also your conversion rates and return on ad spend.

Prioritizing Mobile-First Optimization

It’s 2026, so it’s no surprise that mobile experience metrics are usually the most important ones to watch. That’s where your users are. CrUX reports almost always show that mobile performance is where sites have the most room for improvement.

Identifying Mobile-Specific Issues

Inside the AI Max CrUX reports, you can easily split the data between desktop and mobile.

1. When viewing your User Experience Metrics, use the device filter, usually located at the top of the report, to select Mobile.
2. Compare your mobile LCP, INP, and CLS scores against their desktop counterparts. It’s common to see significantly poorer performance on mobile, even for well-optimized sites.
3. Pay attention to the “Opportunities” section that AI Max often provides within the mobile CrUX report. This section can suggest specific optimizations like “Eliminate render-blocking resources” or “Serve images in next-gen formats.”

Remember, mobile users are on slower connections and have zero patience. A slow or unresponsive page on mobile *will* lead to higher bounce rates. With a recent IAB report showing that mobile ads make up over 70% of digital ad spend, you can’t afford a bad mobile experience. This is central to any company’s mobile marketing plan, since that’s where the money is going.

Implementing Mobile-First Optimizations

Based on the mobile problems you find, put these fixes at the top of your list for your landing pages.

1. Responsive Design Verification: Ensure your landing pages are truly responsive and adapt flawlessly to various screen sizes. Test on multiple mobile devices, not just emulators.
2. Image Optimization: Implement advanced image compression and ensure images are served in formats like WebP or AVIF, which offer superior compression for mobile.
3. Minimize JavaScript: Reduce the amount of JavaScript loaded on mobile pages. Defer non-critical scripts and ensure that only essential code is executed on initial load.
4. CSS Delivery Optimization: Inline critical CSS and defer non-critical CSS to improve render times.
5. Server Response Times: Work with your hosting provider to ensure optimal server response times, especially for mobile users. Businesses should also consider how AI Agents are reshaping data centers to improve such response times.

Common Mistake: The biggest mistake is thinking a fast desktop site will be fast on mobile. It won’t. Mobile optimization needs its own strategy. For instance, you might need to load a smaller, compressed hero image for mobile users first and defer loading the desktop-sized one, which is a completely different priority. For a deeper understanding of how AI can impact user experience, consider our article on Proactive CX: AI’s 2026 Competitive Edge.

Expected Outcome: Do this right, and you’ll see your mobile ad experience metrics shoot up. That means more engagement, fewer bounces, and more money from your mobile AI Max campaigns.

Pulling CrUX reports and the Experience Score into your regular AI Max workflow isn’t just extra work. It gives you a user-level view of what’s actually happening with your ads, so you can make smart fixes that get better results. You’re making your ad budget work harder because you’re finally fixing the frustrating experience that was driving people away.