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Analytics & BI

Mixpanel vs Heap

Which analytics & bi tool is right for you? Compare features, pricing, and user reviews to make the best choice.

M

Mixpanel

4.61,100 reviews

Product-led teams (product, growth, analytics) at SaaS, mobile, and consumer apps that need self-serve event analytics for funnels, retention, cohorts, and user behavior without heavy BI overhead.

Starting at $0+/month (usage-based)
H

Heap

4.0100 reviews

Product, growth, and analytics teams that want fast, low-instrumentation behavioral analytics for web and mobile apps, combining quantitative product analytics with session replay and strong data management.

Starting at Quote-based

Side-by-Side Comparison

FeatureMixpanelHeap
Pricing$0+/month (usage-based)Quote-based
G2 Rating4.6 (1,100 reviews)4.0 (100 reviews)
Capterra Rating4.54.0
Best ForProduct-led teams (product, growth, analytics) at SaaS, mobile, and consumer apps that need self-serve event analytics for funnels, retention, cohorts, and user behavior without heavy BI overhead.Product, growth, and analytics teams that want fast, low-instrumentation behavioral analytics for web and mobile apps, combining quantitative product analytics with session replay and strong data management.

Pros & Cons

Mixpanel

Pros

  • + Strong self-serve product analytics for funnels/retention/cohorts
  • + Fast exploration and segmentation with flexible event properties
  • + Good collaboration via dashboards, sharing, and saved reports
  • + Broad ecosystem of SDKs and integrations

Cons

  • Costs can scale quickly with high event volume or many tracked users
  • Requires disciplined event taxonomy/instrumentation to be reliable
  • Advanced governance/warehouse-centric workflows may require Enterprise or additional tooling

Heap

Pros

  • + Autocapture reduces engineering effort and speeds up analysis
  • + Powerful funnel/journey analysis for product and growth use cases
  • + Session replay helps diagnose UX issues and validate hypotheses
  • + Broad integration ecosystem for warehouses, CDPs, and BI tools

Cons

  • Pricing is quote-based and can be difficult to estimate upfront
  • Autocapture can create noisy datasets without strong governance
  • Advanced setups (mobile, complex SPAs, governance) may require significant configuration