FullStory
StackAdapt
| Feature | FullStory | StackAdapt |
|---|---|---|
| Pricing | Free only | Contact sales |
| Free Plan | ✓ Yes | ✗ No |
| Rating | 4.4 / 5 | 4.4 / 5 |
| Best For | product-teams, ux-designers, enterprise-apps, conversion-optimization | agencies, brand-marketers, media-planners, performance-marketers |
| Founded | 2014 | 2014 |
| Session Replay | ✓ | ✗ |
| Heatmaps | ✓ | ✗ |
| Product Analytics | ✓ | ✗ |
| Error Tracking | ✓ | ✗ |
| Frustration Signals | ✓ | ✗ |
| User Journeys | ✓ | ✗ |
| Data Export | ✓ | ✗ |
| Native Ads | ✗ | ✓ |
| Display Ads | ✗ | ✓ |
| Video Ctv | ✗ | ✓ |
| Audience Targeting | ✗ | ✓ |
| Contextual Targeting | ✗ | ✓ |
| Creative Studio | ✗ | ✓ |
✓ 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
✓ StackAdapt Pros
- Excellent native ad inventory
- Strong machine learning
- Good customer support
- Multi-channel reach
✗ StackAdapt Cons
- Minimum spend requirements
- Learning curve for platform
- Reporting could be more granular
The Verdict
FullStory is built for product teams and ux designers, with a focus on session-replay and heatmaps. StackAdapt targets agencies and brand marketers and leads with native-ads and display-ads.
Both tools use custom enterprise pricing — you'll need to contact sales for a quote, which makes direct cost comparison difficult.
FullStory has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. StackAdapt requires a paid subscription from day one.
Feature-wise, FullStory offers broader built-in capabilities (7 features vs 6), while StackAdapt takes a more focused approach — which can mean a simpler, faster onboarding experience.
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.