4 ways to use AI analytics to improve CRO and UX

You know the feeling: your conversion rates are stuck, users are bouncing at critical moments, and you’re drowning in data but still can’t pinpoint exactly what’s breaking the user experience. That’s because traditional analytics tells you what happened, but leaves you guessing why users struggle and how to fix it.

The game changer? Artificial intelligence (AI) user experience analytics. It does more than just surface problems—it reveals the story behind user behavior, prioritizes fixes based on real impact, and guides you toward solutions that actually move the needle.

This guide gives you 4 practical ways to use AI products to transform user experience (UX) insights into conversion wins, complete with real-world use cases that show you exactly how to put these strategies to work.

Key insights

• Learn ‘why’ with AI: tools like Contentsquare’s Chat with Sense and automated survey analysis reveal the underlying UX reasons that users leave, giving you actionable direction for improvements

• Let AI systems handle the heavy lifting of data analysis: automated tagging, user session summaries, and intelligent alerts save hours of manual work while surfacing insights you might miss—allowing your team to focus on implementing solutions rather than hunting for problems

• Test AI-guided hypotheses for faster optimization cycles: when AI identifies specific friction points and suggests improvements, you can implement targeted fixes with confidence rather than running broad A/B tests on guesses

1. Identify UX friction

AI data analytics doesn’t just show you where users struggle—it reveals exactly why friction happens and guides you toward high-impact fixes.

Picture this: Sarah, a UX designer at an ecommerce furniture store, notices their product pages have a 40% bounce rate. But without the right tools, she’s stuck playing detective with incomplete clues. 

That’s where Contentsquare’s AI-powered analytics comes in. Instead of manually combing through dozens of individual user sessions, Sarah gets automatic insights that pinpoint exactly what’s frustrating users. Here’s how:

Frustration scoring

Our intelligent Frustration Score feature analyzes behaviors like rage clicks and dead zones to give each page and session a score from 0 ( 😀) to 100 ( 😡). 

Sarah spots that her product detail pages (PDPs) score 85—a clear red flag. Based on a user-friendly graph, she sees that the score has jumped in the past week. 

When she sorts sessions by highest frustration score, the most problematic experiences bubble to the top. She discovers that users repeatedly click on product images that won’t zoom and get stuck on size options that won’t load properly.

Contentsquare’s AI-powered Frustration Score feature lets you focus on friction that hurts customer experiences and conversions

Session replay summaries

Contentsquare’s AI-powered Session Replay Summaries let you analyze up to 10 sessions at once to get a clear picture of what went wrong—without binge-watching session recordings. 

Each summary offers 

• Key insights with the main takeaways about user behavior, like how user behavior differs from typical activity on the page

• Potential issues like friction or errors users faced, along with clickable links to those moments

• Aggregate behavioral trends to see the user’s journey at a glance, including where they got stuck and spent the most time

UX designer Sarah uses these summaries to quickly confirm her frustration score findings, discovering that 70% of high-frustration sessions involved the same image zoom and size selector issues.

Use Contentsquare’s AI Session Replay Summaries to get a quick overview of up to 10 sessions to figure out how to improve UX

Based on these findings, Sarah’s team could fix their image zoom functionality and redesign the size selector to boost PDP performance and the user experience.

2. Prioritize issues based on conversion impact 

Not all UX problems are created equal. Some are just minor annoyances, while others cost you customers (and revenue).

Picture this: Marcus, a product manager at a fintech company, has received voice-of-customer feedback about 9 different UX issues on their mobile app. But with a limited development team, they need to prioritize the fixes that will actually improve conversions. 

Instead of guessing which issues matter most, Marcus turns to Contentsquare to get data-driven insights that rank issues by their impact on business outcomes. 

Alerts

Contentsquare’s AI alerts system automatically flags unusual patterns that could threaten conversions and notifies teams in real time when something goes off track.

Product manager Marcus receives an alert that mobile checkout abandonment has spiked 35% in the past 48 hours. This shows that users are experiencing more friction during the payment confirmation step—a key conversion moment that needs immediate attention. 

Monitor specific metrics automatically with Contentsquare’s AI Alerts, and notify your team about changes via email or Slack

Chat with Sense for experience analytics insights

Our natural language, generative AI assistant Chat with Sense lets you ask questions about your data without needing to build complex reports or understand analytics jargon. Just type your question, and get instant insights about which issues affect digital experiences and conversions. 

For example, Marcus asks, “Which UX issues cause the most checkout abandonment on mobile?” Chat with Sense analyzes the data and reveals that payment form errors account for 60% of abandonment, while slow loading times cause 25%—making it clear which issue he should tackle first.

To get more context about the issue, Marcus then digs deeper into the root causes by clicking on the suggested follow-up questions, like “How does payment form performance compare to last month?”

👉 Based on these findings, Marcus builds a priority roadmap that puts payment form issues first (highest conversion importance) before following up with page load times (less of a conversion impact). 

3. Improve page layout and call-to-action (CTA) performance

Great design is about aesthetics, but it’s also about guiding users toward conversion actions that feel natural and effortless.

Picture this: Priya, a digital marketing manager at an e-learning platform, notices that their course’s landing pages have high traffic but low sign-up rates. She suspects the page layout doesn’t optimize user flow, but she needs concrete evidence to justify design changes. 

Instead of running time-consuming A/B tests or—gulp!—relying on design intuition, Priya uses Contentsquare to get AI marketing insights and optimize her page elements for maximum impact. Here’s how:

Survey generation

Our AI survey creation tool automatically generates surveys based on your UX research goals, whether that’s discovering pain points or gathering product design feedback. Simply describe what you want to learn, and the tool creates relevant questions to gather user insights about your page performance. 

For example, Priya might type this goal: “I want to understand why users aren’t engaging with my landing page and completing sign-ups.” In seconds, she sees a list of AI-generated questions like 

• How visually appealing do you find our landing page?

• To what extent does the information on our landing page meet your needs?

• What is the primary reason you did not complete a sign-up on our landing page?

These questions help Priya quickly find reasons for low conversion rates.

Create a survey in minutes with AI survey generation

Sentiment analysis 

Our sentiment analysis feature examines user feedback to reveal how people really feel about your page elements. It categorizes responses as positive, neutral, or negative, helping you understand which design choices resonate with users.

Say the responses to Priya’s survey reveal that 70% of users express negative sentiment about the page layout, with comments like “Couldn’t find the sign-up button” and “Too cluttered and confusing.” This shows Priya that users feel frustrated by the visual hierarchy and gives her a clear direction for design improvements to boost user satisfaction and conversions.

Learn how users really feel with Sentiment Analysis, which breaks survey responses into positive, negative, and neutral responses

👉 Based on these findings, Priya begins the re-design process for her landing page flow, moving the primary CTA above the fold and streamlining the enrollment process to improve the UX and conversions.

4. Personalize and optimize user journeys

One-size-fits-all user experiences are a thing of the past—today’s users expect journeys that adapt to their unique behaviors and preferences. 

Picture this: Ahmed, a conversion rate optimization (CRO) specialist at a Canadian SaaS company, notices that users take wildly different paths through their product trial. Some convert quickly, and others leave just as fast—but he can’t pinpoint why or how to optimize each journey type.

Instead of treating all users the same way, Ahmed gets intelligent insights from Contentsquare that reveal distinct user patterns and guide new personalization strategies. Here’s how:

Chat with Sense for product insights

When used with Journey Analysis, Chat with Sense helps you uncover hidden patterns in complex user journeys by analyzing thousands of user paths at the same time. You can ask questions about user behavior and get instant insights without building complicated funnels.

Ahmed asks, “What are the main differences between users who convert in their first session versus those who take multiple visits?” Chat with Sense reveals that returning users convert at a much higher rate (25.70%) compared to new users (8.28%), and that new users who do convert spend more per transaction but spend twice as long on the page.

Use Chat with Sense to understand the behavior of thousands of users at once, helping you improve their experience

Automated tagging

Our AI-driven survey creation and analysis tools help you understand the ‘why’ behind user journey patterns. The tool generates targeted surveys for different user segments and then uses automated tagging to organize responses by theme, making analysis faster and more actionable.

Ahmed uses our AI technology to create surveys for users who abandon during the trial set-up process. He configures automated tags for key themes like ‘onboarding complexity,’ ‘feature confusion,’ and ‘social proof’—so every new response gets tagged automatically as it comes in. This lets him quickly break down feedback by category without manually reading through hundreds of responses.

In this case, Ahmed finds that 70% of abandoners find the onboarding too complex, while 30% want more social proof before committing—giving him clear direction for UX journey improvements.

Choose your own tags, or select from a list of common ones, making it quicker to find, sort, and analyze your UX-related survey responses

👉 Based on these findings, Ahmed creates multiple solutions. To address the gap between new vs. returning users, he implements a first-time visitor experience focused on building confidence through social proof and testimonials. To address the onboarding complexity issues, he creates two distinct onboarding paths: a streamlined quick-start flow for users who want to get started fast, and a guided exploration journey for those who need more hand-holding through the setup process.

From AI analytics to UX wins 

When you can pinpoint exactly where users struggle—whether it’s a broken form field, a hidden CTA, or a confusing user journey—you can fix what actually matters. Instead of relying on lucky breaks, you get the predictable results of AI-powered insights that turn user friction into clear action items that boost conversions. 

FAQs about AI user experience analytics