Usage data with no story
Connect event counts to the sessions and feedback that explain them.
Product event tracking
Product event tracking that connects usage to the full journey
Capture the actions that matter, measure feature usage and active users, and link every event to replay, funnels, and feedback.
Problems it solves
Built for teams that want usage data with the story behind it
Slow, code-heavy instrumentation
Combine autocapture with custom events so you ship tracking fast.
Events trapped in one report
Use the same events for funnels, segments, replay triage, and surveys.
Workflow
How PulsePanda turns analytics into product decisions
Capture events
Use autocapture and custom events to track key actions.
Measure what matters
See feature usage, active users, and retention over time.
Connect the evidence
Jump from an event to the replay, funnel, or feedback behind it.
What you get
Connected analytics capabilities in one workspace
EventsCustom events and autocapture in one SDK.
MetricsFeature usage and DAU, WAU, and MAU trends.
ContextEvents linked to replay, funnels, and feedback.
FAQ
Questions teams ask before switching
What is product event tracking?
Product event tracking records the actions users take in your product so teams can measure feature usage, active users, and retention.
Do I have to define every event manually?
No. PulsePanda combines autocapture with custom events, so you can start fast and add detail where you need it.
How do events connect to the rest of PulsePanda?
Events power funnels, segments, and replay triage, and connect to surveys and feedback for full context.
Related pages
Explore the rest of the PulsePanda analytics stack
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