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Digital Experience Analytics

Prioritize decisions based on real user impact across engineering and product.

Take a guided tour Got 5 minutes? Get a quick look at how it works.

HOW IT WORKS

Gain insights into user behavior across digital products

Understand real user behavior to drive digital growth

Track feature usage, visualize user journeys, monitor conversions, and surface friction that impacts business outcomes.

Uncover the why behind user behavior with Session Replay

Pair quantitative data with real-world context to instantly replay moments of friction and see exactly what users clicked, scrolled, hesitated on, or abandoned.

Focus on the highest-impact work for users and the business

Correlate user behavior with system performance to remove friction, prioritize impact, and reduce toil — all with minimal instrumentation.

Dive into more features

Explore the documentation

Conversion Funnels

Increase conversion rates for critical user journeys

Build multi-step funnels to define your desired “happy path” (for example, onboarding → activation → upgrade) and monitor conversion rates between each step. Data is retroactive.

pd-s-dea-correlation-rum

Session Replay

Record and visually reproduce user sessions to understand exactly what happened

When friction or funnel drop-offs occur, jump directly into a session replay from the user’s perspective at that exact moment to see what they clicked, scrolled, hesitated on, or abandoned.

Session Replay

User Journey Maps

Analyze and map the most common user journeys

Gain insights into the most common paths users take within your app, including the paths leading to or following a specific event.

Analyze and map the most common user journeys

Event Analytics

Track and encourage the adoption of critical product features

Track all user actions, such as button clicks and page views, with time-series analysis to understand feature adoption. Create events directly from the UI using the element picker, without writing code.

Track and encourage the adoption of critical product features

User Segments

Group users based on behavior or attributes to tailor strategies

Segment users by behavior (for example, first time vs. returning users) or attributes (such as country or browser) to compare experiences across cohorts and uncover opportunities for improvement. Apply segments consistently across Conversion Funnels, User Journey Maps, and Event Analytics.

User segments

Friction Signals

Detect and troubleshoot friction in user interactions

Automatically detect rage clicks, dead clicks, and other friction signals, then investigate root causes with Session Replay.

pd-s-dea-feat-frustration-signal

Out-of-the-box Correlation

Correlate Real User Monitoring and Digital Experience Analytics to prioritize smarter and troubleshoot faster

Correlate critical funnel drop-offs with underlying performance issues to prioritize engineering efforts and accelerate troubleshooting, for example, linking checkout abandonment to the code issue behind a slow “Place Order” button.

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Resources
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Full implementation details and best practices

Learn how to get started with Digital Experience Analytics.

See the documentation

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Get started with Digital Experience Analytics

Prioritize decisions based on real user impact across engineering and product.

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