Heap icon

Heap

★★★★ 4.3
VS

Pirsch

★★★★ 4.3
Feature Heap Pirsch
Pricing Free only From $4/mo
Free Plan ✓ Yes ✗ No
Rating 4.3 / 5 4.3 / 5
Best For product-teams, growth-marketers, ux-researchers, saas-companies privacy-focused-websites, european-businesses, bloggers, saas-companies
Founded 2013 2021
Auto Capture
Session Replay
Funnel Analysis
Retention Analysis
User Segments
Data Science
Integrations
Pageview Tracking
Event Tracking
Goals
Utm Tracking
Server Side Tracking
Api Access

✓ 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

✓ Pirsch Pros

  • No cookies required
  • GDPR compliant out of the box
  • Lightweight script (less than 1KB)
  • Server-side tracking option

✗ Pirsch Cons

  • No free plan
  • Less detailed than GA4
  • Limited e-commerce tracking

The Verdict

Heap is built for product teams and growth marketers, with a focus on auto-capture and session-replay. Pirsch targets privacy focused websites and european businesses and leads with pageview-tracking and event-tracking.

Heap uses custom enterprise pricing, while Pirsch starts at $4/mo — a tangible advantage for teams with a fixed budget.

Heap has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. Pirsch requires a paid subscription from day one.

Feature-wise, Heap offers broader built-in capabilities (7 features vs 6), while Pirsch takes a more focused approach — which can mean a simpler, faster onboarding experience.

Both tools are a solid fit for saas companies — 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.

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