Enterprise pricing
PulsePanda offers transparent plans for startups and growing teams instead of enterprise contracts and annual commitments.
FullStory alternative
A FullStory alternative without the enterprise price tag
FullStory captures rich session data, but it is priced and packaged for large organizations. PulsePanda gives you session replay and heatmaps plus product analytics, funnels, and feedback in one workspace, at a price that fits growing teams.
Why teams look for an alternative
When FullStory is overkill for the budget
Analytics sit in another tool
PulsePanda combines replay and heatmaps with product analytics and funnels so you do not pay for two platforms.
Setup should be fast
One script captures sessions and autocaptured interactions, and you can start reviewing behavior the same day.
Workflow
How PulsePanda turns sessions into decisions
Capture sessions
Autocapture interactions and record sessions from a single lightweight script.
Connect to analytics
Tie recordings to events, funnels, and heatmaps so you can quantify what you observe.
Gather feedback
Trigger surveys and collect requests where the recordings reveal friction.
What you get
Session intelligence with analytics built in
Replay layerSession replay, autocapture, and console context.
Analytics layerProduct analytics, heatmaps, conversion funnels, and retention.
Feedback layerSurveys, feedback widgets, forms, and a feature voting board.
FAQ
Questions teams ask before switching
Is PulsePanda a good FullStory alternative?
PulsePanda provides session replay and heatmaps like FullStory, plus product analytics, funnels, and feedback, at pricing built for startups and growing teams.
Does PulsePanda capture sessions automatically?
Yes. PulsePanda autocaptures interactions and records sessions from a single script, then links them to events, funnels, and heatmaps.
What does PulsePanda add beyond replay?
PulsePanda adds product analytics, conversion funnels, surveys, feedback widgets, forms, and a feature voting board alongside replay and heatmaps.
Related pages
Explore the rest of the PulsePanda analytics stack
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