Heap
Majestic
| Feature | Heap | Majestic |
|---|---|---|
| Pricing | Free only | Free / from $49.99/mo |
| Free Plan | ✓ Yes | ✓ Yes |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Best For | product-teams, growth-marketers, ux-researchers, saas-companies | link-builders, seo-professionals, agencies, enterprise-seo |
| Founded | 2013 | 2004 |
| Auto Capture | ✓ | ✗ |
| Session Replay | ✓ | ✗ |
| Funnel Analysis | ✓ | ✗ |
| Retention Analysis | ✓ | ✗ |
| User Segments | ✓ | ✗ |
| Data Science | ✓ | ✗ |
| Integrations | ✓ | ✗ |
| Site Explorer | ✗ | ✓ |
| Trust Flow | ✗ | ✓ |
| Citation Flow | ✗ | ✓ |
| Backlink History | ✗ | ✓ |
| Bulk Backlink Checker | ✗ | ✓ |
| Topical Trust Flow | ✗ | ✓ |
✓ Heap Pros
- Auto-captures all user interactions without code
- Retroactive analysis (define events after the fact)
- Session replay integrated with analytics
- No engineering resources needed for tracking
✗ Heap Cons
- Pricing not transparent (sales-required for growth+)
- Can generate excessive data requiring cleanup
- UI can feel slower than event-based alternatives
✓ Majestic Pros
- Largest backlink database available
- Unique Trust Flow metric
- Historical index going back years
- Powerful bulk analysis
✗ Majestic Cons
- Focused only on links (no keyword research)
- Steep learning curve
- Expensive API access
The Verdict
Heap is built for product teams and growth marketers, with a focus on auto-capture and session-replay. Majestic targets link builders and seo professionals and leads with site-explorer and trust-flow.
Heap uses custom enterprise pricing, while Majestic starts at $49.99/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.
Feature-wise, Heap offers broader built-in capabilities (7 features vs 6), while Majestic 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.