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Analytics & BI

Mixpanel vs Google Analytics 4

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

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Mixpanel

★4.6 • 1,100 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.

Full ReviewVisit Site
Starting at $0+/month (usage-based)
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Google Analytics 4

★4.0 • 100 reviews

Teams that need free, scalable web/app analytics with strong Google Ads integration, event-based tracking, and flexible exploratory analysis—especially SMBs, product teams, and marketers operating in the Google ecosystem.

Full ReviewVisit Site
Starting at $0/user/month

Side-by-Side Comparison

FeatureMixpanelGoogle Analytics 4
Pricing$0+/month (usage-based)$0/user/month
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.Teams that need free, scalable web/app analytics with strong Google Ads integration, event-based tracking, and flexible exploratory analysis—especially SMBs, product teams, and marketers operating in the Google ecosystem.

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

Google Analytics 4

Pros

  • + Free tier is powerful and widely supported across the Google ecosystem
  • + Strong cross-device and cross-platform measurement approach (web + app)
  • + Flexible analysis via Explorations (funnels, paths, cohorts) without exporting data
  • + Native BigQuery export available for GA4 properties (useful for BI/warehouse workflows)

Cons

  • − Steeper learning curve vs Universal Analytics; reporting/navigation can feel less intuitive
  • − Sampling/thresholding and privacy modeling can limit granular reporting in some scenarios
  • − Advanced governance, SLAs, and enterprise features generally require GA360 (quote-based)

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