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Analytics & BI

Amplitude Analytics vs Pendo

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

A

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)
P

Pendo

4.0100 reviews

Product teams (PMs, growth, UX, and customer success) at SaaS and digital product companies that need product usage analytics plus in-app guidance and feedback collection in one platform.

Starting at Quote-based

Side-by-Side Comparison

FeatureAmplitude AnalyticsPendo
Pricing~$61/month (varies by MTUs/features)Quote-based
G2 Rating4.0 (100 reviews)4.0 (100 reviews)
Capterra Rating4.04.0
Best ForProduct-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.Product teams (PMs, growth, UX, and customer success) at SaaS and digital product companies that need product usage analytics plus in-app guidance and feedback collection in one platform.

Pros & Cons

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

Pendo

Pros

  • + Combines analytics + in-app guidance + feedback, reducing tool sprawl
  • + Strong segmentation and targeting for contextual in-app experiences
  • + No/low-code guide builder enables fast iteration without engineering
  • + Good visibility into feature adoption and user behavior for prioritization

Cons

  • Pricing is custom and can be expensive at scale (MAU-based)
  • Implementation and data governance (tagging, event strategy) can be complex
  • Some advanced analysis and reporting may require additional setup or higher-tier plans