Heap ties session replay directly to quantitative event data, letting you trace specific user behaviors back to funnel position, event frequency, and segment data, while FullStory leans more into qualitative session replay and user journey visualization. Both auto-capture user interactions by default, but they’re built with slightly different priorities in mind, and picking between them usually comes down to whether you value deeper analytics or richer replay detail more.
we’ll go through what separates these two platforms so it’s clear which one fits your team’s actual needs.
What Heap Actually Is
Heap is a digital analytics platform that automatically captures every user interaction on your site or app without requiring you to manually define events ahead of time. That auto-capture approach means you can retroactively decide what events matter and analyze them without redeploying tracking code, which is a genuine time-saver for fast-moving teams. Session replay exists in Heap, but it functions as a secondary feature layered on top of its core analytics.
What FullStory Actually Is
FullStory also auto-captures user interactions, but its core strength is in the quality and richness of session replay itself. It’s built to give you a detailed, qualitative view of exactly how users move through your product, making it a strong choice for teams focused on understanding user experience issues, friction points, and design problems through direct observation rather than aggregate metrics.
Session Replay: Where the Priorities Differ
Heap’s session replay ties directly into its quantitative data, so when you’re watching a session, you can instantly see how that specific behavior fits into broader funnel and segment data. FullStory’s replay experience is generally considered richer and more polished on its own, prioritizing the qualitative story of a user’s journey over connecting it immediately to broader analytics.
Analytics Depth
This is where Heap tends to pull ahead. Heap’s funnel and cohort tracking are generally considered more comprehensive, and features that might cost extra with FullStory are often included in Heap’s lower tiers. FullStory’s analytics capabilities don’t match Heap’s depth, even though its replay experience is excellent.
| Factor | Heap | FullStory |
|---|---|---|
| Core strength | Quantitative analytics tied to replay | Rich, qualitative session replay |
| Auto-capture | Yes | Yes |
| Funnel/cohort analysis | Strong, included in lower tiers | Available, less comprehensive |
| Best for | Data-driven product teams | UX and design-focused teams |
| Pricing | Custom | Custom (free plan available) |
Pricing
Both platforms use custom pricing based on usage and typically require a demo or sales conversation to get exact numbers. FullStory offers a free plan with no credit card required for smaller-scale use, while both platforms offer trial periods to test features before committing. As your usage and feature needs grow, costs on both platforms scale up considerably, so it’s worth getting a detailed quote based on your actual traffic volume.
Where Heap Wins
If your team relies heavily on quantitative analysis, funnels, cohorts, and retroactive event definition, Heap tends to be the stronger overall analytics platform. Its ability to tie individual session replays directly back to broader behavioral data makes it useful for teams that want both the story and the numbers in one place.
Where FullStory Wins
If your priority is genuinely understanding the user experience through detailed session replay, catching UX friction, confusing navigation, or design issues through direct observation, FullStory’s replay quality tends to stand out. Teams more focused on design and UX research than deep quantitative analysis often lean toward FullStory for that reason.
Which One Should You Choose?
If you need strong product analytics with session replay as a supporting feature, Heap is generally the better overall fit. If session replay and qualitative UX insight are your primary goal, with analytics as a secondary benefit, FullStory tends to serve that need better.
For a broader view of tools in this space, our roundup of the best digital analytics tools covers additional platforms worth comparing. And if you’re weighing product analytics tools more broadly, our comparison of Mixpanel vs Amplitude is a useful companion read.
FAQs About Heap vs FullStory
Which tool is better for session replay quality?
FullStory is generally considered to have richer, more polished session replay, while Heap’s replay feature is functional but secondary to its core analytics.
Which tool has stronger analytics overall?
Heap tends to offer deeper funnel and cohort analysis, often including features in lower pricing tiers that cost extra elsewhere.
Do both tools auto-capture user events?
Yes, both Heap and FullStory automatically capture user interactions by default, letting you define and analyze specific events after the fact without redeploying tracking code.
Is FullStory free to use?
FullStory offers a free plan for smaller-scale use without requiring a credit card, though more advanced features require custom enterprise pricing.
Which tool is better for UX and design teams?
FullStory tends to be favored by UX and design-focused teams because of its strong emphasis on detailed, qualitative session replay.
Can I use Heap and FullStory together?
It’s uncommon since they serve overlapping purposes, and most teams choose one as their primary tool for behavioral analytics and session replay rather than running both simultaneously.
