Product Analytics
This feature is available for early-access customers. To request access and confirm your organization meets the feature criteria, contact your account representative or Support.
Product Analytics turns the frontend telemetry you already collect with Real User Monitoring into business-level insight. Instead of stopping at performance and reliability signals, Product Analytics lets you measure how real users move through your product: which flows they complete, where they drop off, and how they interact with each page.
Product Analytics reads the same behavioral events your RUM SDK already sends—sessions, views, and actions—so you get product insight without a second instrumentation layer or a separate analytics tool. Because the data lives in Coralogix, you can move from a drop in conversion to the underlying traces, logs, and errors that explain it.
See Get started with Product Analytics for how to enable it and confirm your data.
What you can do
Product Analytics answers questions about user behavior that performance metrics alone can't:
- Track conversion with funnels. Define a multi-step flow—sign-up, onboarding, checkout—and measure conversion and drop-off at each step, then filter and save the funnel to reuse it. See Funnels.
- Visualize interactions with heatmaps. See where users click and how far they scroll on a page, ranked by the most common actions, and jump to the session behind any interaction. See Heatmaps.
- Map user journeys with pathways. Pick a view and see the paths users take before or after it—rendered as a Sankey—and where they drop off along the way. See Pathways.
Understand your data
Product Analytics is built on three event types the RUM SDK captures as users interact with your application—sessions, views, and actions. Funnels are an ordered sequence of these events—views, actions, or custom events; heatmaps aggregate the actions on a page; pathways trace the sequences of views users move through around a chosen page. Because every event carries its session context, you can move from an aggregate metric to the individual sessions behind it. See the data model for details.
Common use cases
| Use case | What Product Analytics shows |
|---|---|
| Onboarding and activation | Where new users drop off between sign-up and their first meaningful action |
| Feature adoption | How often a page or an element on it is used |
| Conversion optimization | Which step in a multi-step flow loses the most users |
| Navigation and journeys | The routes users take to and from a key page—and where they divert or drop off |
| UX friction | Which page elements users click most—and which they never reach |
How Product Analytics relates to RUM
Real User Monitoring and Product Analytics are built on the same Browser SDK and event stream, but they answer different questions:
- Real User Monitoring focuses on frontend performance and reliability—page load, network timing, errors, and session replay.
- Product Analytics focuses on behavior—how users progress through flows and interact with the interface.
You instrument once with the RUM SDK and use both. For instrumentation details, see the RUM integration package.
Next steps
Enable it and confirm your data is flowing: Get started with Product Analytics.