Amplitude
FullStory
| Feature | Amplitude | FullStory |
|---|---|---|
| Pricing | Free / from $49/mo | Free only |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.4 / 5 | 4.4 / 5 |
| Best For | product-teams, growth-teams, data-analysts, saas-companies | product-teams, ux-designers, enterprise-apps, conversion-optimization |
| Founded | 2012 | 2014 |
| Event Analytics | ✓ | ✗ |
| Cohort Analysis | ✓ | ✗ |
| Funnels | ✓ | ✗ |
| Retention | ✓ | ✗ |
| Experimentation | ✓ | ✗ |
| Session Replay | ✓ | ✓ |
| Cdp | ✓ | ✗ |
| Heatmaps | ✗ | ✓ |
| Product Analytics | ✗ | ✓ |
| Error Tracking | ✗ | ✓ |
| Frustration Signals | ✗ | ✓ |
| User Journeys | ✗ | ✓ |
| Data Export | ✗ | ✓ |
✓ Amplitude Pros
- Powerful behavioral cohort analysis
- Free tier generous (50K monthly tracked users)
- Built-in experimentation (A/B testing)
- Excellent for product-led growth metrics
✗ Amplitude Cons
- Complex event taxonomy required upfront
- Expensive at scale beyond free tier
- Steep learning curve for non-analysts
✓ FullStory Pros
- High-fidelity session replay with DOM rendering
- AI-powered insights surface frustration signals
- Combines qualitative and quantitative analytics
- Privacy-first with PII exclusion controls
✗ FullStory Cons
- Expensive for high-traffic sites
- Free plan limited to 1,000 sessions/month
- Can slow page performance with full recording
The Verdict
Amplitude is built for product teams and growth teams, with a focus on event-analytics and cohort-analysis. FullStory targets product teams and ux designers and leads with session-replay and heatmaps.
FullStory uses custom enterprise pricing, while Amplitude starts at $49/mo — a tangible advantage for teams with a fixed budget.
Both offer free plans, so you can test each with your real workflow before committing to a subscription.
Both tools are a solid fit for product teams — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.