Contentsquare

Open Journey Analysis to isolate the checkout funnel.

Apply the 'Frustration' filter to see where users rage click.

Use Zone-based Heatmaps to see if a specific form field is being ignored or causing errors.

Watch 5-10 filtered Session Replays of users who exited at payment.

Quantify the revenue lost due to the identified friction using the 'Impact' tool.

Integrate Optimizely data into Contentsquare.

Compare Heatmaps of 'Control' vs 'Variation'.

Analyze 'Attractiveness' vs 'Click Rate' for the CTA in the variation.

Discover that the variation increased 'Scrolling' but decreased 'Conversion' due to excessive length.

Adjust the UI based on behavioral evidence rather than just binary win/loss metrics.

Access the 'Find & Fix' dashboard.

Sort errors by 'Revenue Impact'.

Identify a JavaScript error on the 'Add to Cart' button affecting Chrome users.

Share the session replay link directly with developers via Jira integration.

Verify the fix by monitoring the error rate and conversion in real-time.

Overlay Merchandising metrics on the homepage.

Review the 'Conversion Rate per Click' for each promotional banner.

Identify high-click/low-conversion banners that signify misleading content.

Replace underperforming assets with high-converting ones.

Monitor the 'Exposure Rate' to ensure the most important content is within the average fold.

Analyze the Mobile Journey flow in the CS SDK.

Look for 'Screen Transitions' with high exit rates.

Use 'Touch Heatmaps' to see if users are trying to interact with non-tappable elements.

Identify API latency issues on the sign-up screen.

Optimize the onboarding flow to reduce steps and fix API calls.

Run the CS Accessibility module to scan the site.

Filter user sessions by those using screen readers.

Identify elements missing alt-text that users are hovering over repeatedly.

Prioritize fixes for elements that are critical to the conversion path.

Track the improvement in accessibility score over time.

Check 'Scroll Depth' metrics for specific article templates.

Use 'Reading Time' analysis to differentiate between scanning and reading.

Identify where the majority of users stop scrolling.

Place CTA buttons or lead magnets just above the 'drop-off' point.

A/B test content length based on these engagement thresholds.