11 Best product analytics tools

Discover software that decodes user behavior, sharpens strategies, and drives product-led growth.

Featured product analytics tools

  • Statsig Logo

    Statsig

    Experimentation platform

    Statsig is a platform that combines feature flags, A/B testing, product analytics and session replay, allowing teams to experiment on features, analyze results and control rollouts from a single interface.

  • Pendo Logo

    Pendo

    Software experience platform

    Pendo provides a product experience platform that captures user interactions, delivers analytics and in-app guides, and helps teams improve user adoption, engagement and product decisions.

  • Posthog Logo

    Posthog

    Product analytics toolkit

    PostHog is an open-source product analytics platform that captures user events and offers funnels, cohorts, retention, session replay, heatmaps, feature flagging and A/B testing, deployable self-hosted or via the cloud.

Selection criteria and key features

  • Event tracking:
    Does the tool let you customize and define specific user actions clearly?
  • Segmentation:
    Can it effectively segment users by behavior, attributes, or custom criteria?
  • Funnel analysis:
    Does it monitor conversion funnels and clearly identify drop-off points?
  • Cohort analysis:
    Can it track and compare retention trends among user groups over time?
  • Attribution modeling:
    Is it precise in linking user actions with outcomes and campaign impact?
  • Real-time processing:
    Does it update data and insights instantly to support timely decisions?
  • In-product integration:
    Does it seamlessly integrate with native data sources within your product?
  • Data visualization:
    Does it provide interactive dashboards that present complex data clearly?
  • Alerting and notifications:
    Does it send real-time alerts for significant changes or data anomalies?
  • Data retention:
    Does it manage historical data effectively with defined retention policies?
  • Querying flexibility:
    Can users create custom queries or apply advanced filters for analysis?
  • Ease of implementation:
    Is setup and integration straightforward with existing systems?
  • Data governance and security:
    Does it meet privacy standards and secure sensitive data?
  • Pricing transparency:
    Is the pricing structure clear, predictable, and aligned with its features?
  • Support and community:
    Is robust vendor support available along with an active user community?

All product analytics tools