Amplitude vs FullStory
Side-by-side comparison to help you choose the best tool.
Amplitude
freemiumAmplitude is a digital analytics platform helping product teams understand user behaviour, grow faster, and improve retention. Its AI layer, Amplitude AI, provides automatic insight discovery, predictive analytics, and AI Copilot for natural language data exploration. Used by Notion, Atlassian, and PayPal, Amplitude is the preferred analytics platform for product-led growth companies.
FullStory
freemiumFullStory is a digital experience intelligence platform that captures every user interaction and uses AI to surface friction, drop-off points, and bugs across web and mobile. Its AI features include auto-generated session data, frustration signal detection, and DX Data - a structured dataset derived from behavioural signals. FullStory bridges the gap between quantitative analytics and qualitative session replay.
| Feature | Amplitude | FullStory |
|---|---|---|
| Pricing | freemium | freemium |
| Category | Data & Analytics | Data & Analytics |
| Rating | 4.6 | 4.5 |
| Best For | Product and growth teams at digital companies who want deep behavioural analytics with AI data and built-in experimentation | Product and engineering teams wanting complete session capture with AI insight generation to identify and fix UX friction |
| Views | 98 | 96 |
| Attribute | Amplitude | FullStory |
|---|---|---|
| Pricing Type | freemium | freemium |
| Free Trial | No | No |
| API Available | No | No |
| Mobile App | No | No |
| Rating | 4.6 ✓ | 4.5 |
| Founded | - | - |
| Team Size | - | - |
| Deployment | - | - |
| Popularity (Views) | 98 ✓ | 96 |
Pros
- Best combination of analytics depth and AI accessibility
- AI Copilot democratises data for non-analysts
- Strong PLG (product-led growth) analytics
Cons
- Free tier data limits are restrictive
- Event schema management requires ongoing engineering
Pros
- Captures every interaction without sampling
- AI frustration detection identifies UX problems automatically
- DX Data enables analytics on behavioural signals
Cons
- Can be expensive at enterprise scale
- Full capture creates large data volumes to manage
- AI Copilot natural language analytics
- Automatic insight discovery
- Predictive user behaviour modelling
- Session replay & heatmaps
- Experiment & feature flagging
- Full session capture & replay
- AI frustration signal detection
- DX Data structured behavioural dataset
- Funnel & conversion analysis
- Error tracking integration
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