Campaign optimization
March 26, 2026

Ad Quality 101: How to Ensure High Performance in the AI Era

Ad quality was once easier to understand and measure. 

Your ads stood a good chance of performing as long as you could deliver the trifecta: high expected CTR, ad relevance, and a good landing page experience. 

But messaging, UX, and alignment matter even more than just clicks. So does creativity. With generative AI producing homogenous creatives, human ingenuity takes on heightened importance. In fact, Davang Shah, VP of Marketing at LinkedIn and former Google employee, revealed that 60-70% of an ad’s effectiveness boils down to creativity

This post will analyze what ad quality truly means in 2026 (and beyond), and how to maintain high performance across multiple platforms. 

Table of Contents

  1. (Re)Defining Ad Quality 
  2. Meta Ad Quality
  3. TikTok Ad Quality
  4. Google/YouTube Ad Quality
  5. Why Ad Quality Matters More than Ever (in the AI Era)
  6. How to Ensure Ad Quality
  7. Work With an Agency that Ensures Ad Quality

(Re)Defining Ad Quality

Ad quality was never only a three-point checklist but rather a measure of user experience. While relevance, CTR, and landing page experience matter, quality scores are just a diagnostic proxy. 

Ad performance strongly depends on other factors such as:

  • Context (time, location, device)
  • User behavior
  • Auction-time signals 

Additionally, modern platforms measure quality using predicted outcomes such as:

  • Predicted CTR
  • Predicted conversion rates
  • Engagement signals

Also, engagement and behavioral signals matter such as watch time, interactions, and user feedback. 

All of these factors comprise ad quality, especially now with an abundance of AI-driven systems evaluating more signals, in real-time, across the entire user journey. 

That said, it’s worth looking at ad quality standards across the various platforms to ensure high performance throughout all your selected channels. 

Meta Ad Quality 

Two phones showing the same of a smiling woman, one zoomed in one zoomed out.

Meta evaluates three criteria to determine ad quality: quality ranking, engagement rate ranking, and conversion rate ranking

Quality Ranking

  • Based on user feedback signals such as hides, reports, and negative sentiment. 
  • Analyzes creative quality (visuals, clarity, no clickbait) and landing page quality (speed, relevance, UX)
  • Relative to competing ads targeting similar audiences. 

Engagement Rate Ranking

  • Clicks
  • Likes
  • Comments
  • Shares

Conversion Rate Ranking

  • Expected likelihood of conversions after clicks
  • Influenced by offers, landing page experience, and funnel quality

Meta also factors in post-click behavior and audience targeting when determining ad quality. 

TikTok Ad Quality

TikTok ad showing a young man holding sunglasses and cases.

TikTok’s ad quality standards are similar to Meta based on research and observations. The four main factors are: relevance to audience, engagement signals, creative performance, and landing page experience

Relevance to Audience 

  • User interests
  • User behavior
  • User consumption patterns

Engagement Signals

  • Watch time
  • Likes
  • Shares
  • CTR

Creative Performance (Especially Video-Native Ads)

  • Platform-fit (non-polished, TikTok style, UGC-like)
  • Hook strength and retention (implied by engagement metrics)

Landing Page Experience

  • Mobile UX-friendliness
  • Load speed
  • Messaging match

Additional factors for TikTok ad quality include post-click conversion rates, cost efficiency, and data quality. 

Google Ad Quality

A YouTube ad on a phone screen showcasing an SUV on a lakeside landscape.

Google ad quality is probably the most recognizable, which factors in three metrics that many marketers obsess over: expected click-through rate (CTR), ad relevance, and landing page experience. However, this framework has expanded. 

Expected Click-Through Rate (CTR)

  • Predicts likelihood that users will click
  • Based on historical performance and contextual measures

Ad Relevance

  • User intent
  • Targeting context

Landing Page Experience

  • Relevance to the ad
  • Usability
  • Load speed
  • Overall usefulness

These factors extend throughout the Google ecosystem including YouTube/video campaigns. There are video-native metrics that complement these core Google metrics such as:

  • View rate (skips versus views)
  • Watch time & retention
  • Engagement (i.e., likes, shares, comments)

These signals contribute to Ad Rank’s auction outcome, as well as bid and other contextual elements. They’re a prime example of why the quality score is now just one component of ad quality. 

Why Ad Quality Matters More than Ever in the AI Era

Ad quality has always been important. But now that much advertising is AI-driven, it’s become a more powerful lever. It’s now a major determinant of performance, cost, and scale for numerous reasons. 

AI can handle manual optimization

AI systems, across all the above-mentioned ad platforms, can automate bidding, targeting, and placements. However, human judgment is still necessary to optimize your creatives and messaging to truly resonate with users. AI isn’t quite there yet. 

Algorithms Optimize for Optimal UX First

Algorithms rank ad performance based on watch time, engagement, and conversions. If your ads score poorly on these metrics, they’ll be de-prioritized or penalized if they’re disruptive. The opposite is also true. Well performing ads create a positive feedback loop. So it’s essential to optimize your ads for a pleasing UX since the algorithms have been trained to spot ads that meet or don’t meet these criteria. 

AI is Getting Better at Understanding Nuance, Not Just Metrics

AI models can look beyond clicks. They can analyze visuals (i.e., faces, motions), audio (tone, phrasing), text sentiment, and behavioral patterns (scroll speed and depth, replays, skips). That means your ads have to deliver a holistic, high quality experience because AI systems can detect and determine whether your ad creatives are up to par (or not). 

Auction Dynamics Reward Quality More Aggressively 

With AI-driven auctions in place, you can win lower bids if your ad performs better, or lose if it performs poorly. That means efficiency is now about quality, not budget. 

Signal Loss Makes Ad Quality More Critical

With iOS privacy changes, cookie deprecation, and limited tracking, platforms have less conversion data to work with. That means on-platform signals such as engagement and watch time matter more than ever, and high performance depends on high ad quality.

How to Ensure Ad Quality

Although each platform has its own nuances in terms of ad quality measurement, there are some standard practices to follow across the board. They are: 

  1. Creative differentiation.
  2. Message audience-alignment.
  3. Engagement-focused optimization.
  4. Native, platform-oriented creatives.
  5. Post-click UX.
  6. Feedback loops and iterations.

Creative differentiation

Creativity is king. That means avoiding or putting safeguards in place to prevent AI-generated sameness. Also, alternate between volume and variation strategies, and be sure to test hooks repeatedly and thoroughly. 

Message audience-alignment

Message alignment is also non-negotiable. Ensure your messaging matches user intent and offers clarity, so users aren’t compelled to press ‘skip’. 

Engagement-focused optimization

Clicks matter, but engagement is a stronger signal. Optimize for metrics such as watch time, thumb-stop rate, and the quality of your interactions. 

Native, platform-oriented creatives

Create ads that are native to the platform. Ensure that their appearance doesn’t interrupt the user experience. 

Post-click UX

Make post-click behavior something you track and optimize for. Ensure your messages match, load times are speedy, and there’s no friction for users. 

Feedback loops and iterations

Regular iterations is a key ingredient for maintaining ad quality. That means regular creative testing and refreshment, monitoring platform signals (i.e., CTR, retention, comments), and running these cycles fast. 

Want to Work With an Agency that Ensures Ad Quality?

Now that ad quality is more nuanced than before, optimizing your ads will require an airtight strategy. That means not relying on basic frameworks. You’ll need to prioritize creativity, context, messaging, and behavior (across the funnel), testing and iterating to ensure your ads are truly reaching your audience. Not just clicks. 

Working with a user acquisition agency can keep you on track if you’re navigating the new ad landscape. They can help you boost your ad campaigns so they resonate with your audience and their search intent for better performance. 

Are you looking to ramp up your engagement and conversion rates? Get in touch with us to learn how we can help you boost your campaigns’ performance. 

Frequently Asked Questions

How to make high quality ads?

Ensure your ads have visual appeal since imagery is more captivating than just text. Use bold, vibrant colors, striking graphics, and high-resolution photos or video in your ad creatives. Also, make sure your images and videos align with your brand style and messaging for consistency. 

How to optimize ad performance?

Optimizing your ad for better performance usually involves:

  • Regularly test creatives and messaging and iterate. 
  • Optimize landing pages to match your ads. 
  • Refine your audience targeting efforts. 
  • Align your KPIs with your business objectives. 
  • Use a multichannel approach for your mobile ad campaigns. 

How to improve ad performance?

You can improve your ad campaign performance by:

  • Reviewing your criteria for audience targeting. 
  • Choosing the appropriate channels for your ad campaigns. 
  • Revamping the copy, headlines, thumbnails, and visuals.
  • Setting up A/B testing to refine your campaign optimization workflow. 

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