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Analytics & BI

Mixpanel vs Amplitude Analytics

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

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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)
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Amplitude Analytics

4.0100 reviews

Product-led companies and digital teams (Product, Growth, Analytics) that need self-serve product analytics to understand user behavior, improve activation/retention, and measure feature and experiment impact across web and mobile apps.

Starting at ~$61/month (varies by MTUs/features)

Side-by-Side Comparison

FeatureMixpanelAmplitude Analytics
Pricing$0+/month (usage-based)~$61/month (varies by MTUs/features)
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-led companies and digital teams (Product, Growth, Analytics) that need self-serve product analytics to understand user behavior, improve activation/retention, and measure feature and experiment impact across web and mobile apps.

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

Amplitude Analytics

Pros

  • + Strong event-based product analytics for funnels, retention, and cohorts
  • + Good self-serve exploration for non-technical stakeholders
  • + Scales from startup to enterprise with governance and permissions
  • + Broad ecosystem/integrations for data pipelines and warehouses

Cons

  • Costs can rise quickly as MTUs, events, or add-ons increase
  • Requires upfront instrumentation and event taxonomy discipline to get reliable insights
  • Advanced analysis and governance features may be gated behind higher tiers