FullStory vs Heap — Which One Wins?
A detailed, side-by-side comparison of FullStory and Heap to help you pick the right tool for your workflow.
Quick Verdict
FullStory takes the lead with a 4.3 rating and is best for enterprise digital teams needing session replay intelligence at scale.. Heap (4.2) is the better pick if you need teams without analytics engineering resources who want comprehensive product analytics..
Side-by-Side Comparison
| Criteria | FullStory | Heap |
|---|---|---|
| Rating | ★★★★ 4.3(98) | ★★★★ 4.2(123) |
| Pricing Model | paid | freemium |
| Starter Price | Custom pricing | Custom pricing (Growth) |
| Free Tier | Yes | Yes |
| Platforms | web | web |
| Learning Curve | medium | medium |
| API Available | Yes | Yes |
| Best For | Enterprise digital teams needing session replay intelligence at scale. | Teams without analytics engineering resources who want comprehensive product analytics. |
| Verdict | situational | situational |
Feature Checklist
| Feature | FullStory | Heap |
|---|---|---|
| Autocapture (no manual tagging) | — | |
| AI frustration detection | — | |
| Session replay at scale | — | |
| Searchable sessions | — | |
| Heatmaps | — | |
| Product analytics | — | |
| Automatic event capture | — | |
| Retroactive analytics | — | |
| Funnel and retention analysis | — | |
| Session replay | — | |
| Effort analysis (friction detection) | — | |
| Journey mapping | — |
FullStory
Pros
- ✓AI automatically identifies frustration signals at scale
- ✓Autocapture means no manual event tagging
- ✓Enterprise-grade session replay and analytics
Cons
- ✕Premium enterprise pricing (typically $10K+/year)
- ✕Overkill for small to medium websites
- ✕Opaque pricing requires sales conversations
Heap
Pros
- ✓Auto-capture means no manual event tracking required
- ✓Retroactive analysis answers questions you did not anticipate
- ✓Effort analysis automatically finds high-friction flows
Cons
- ✕Opaque pricing with no self-serve plans
- ✕Auto-capture can capture noisy, irrelevant data
- ✕Less precise than manual instrumentation for specific use cases
The Bottom Line
Both FullStory and Heap are solid tools in the Analytics & Data space. FullStory edges ahead with a stronger overall rating (4.3 vs 4.2) and is the better choice for enterprise digital teams needing session replay intelligence at scale.. However, if you prioritize teams without analytics engineering resources who want comprehensive product analytics., Heap is worth serious consideration. We recommend trying the free tier or trial of each before committing.