11 Best product analytics tools

Featured product analytics tools

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  Hotjar

  Website heatmaps and analytics

  Hotjar automatically captures user interactions through heatmaps, session recordings, conversion funnels and on-site feedback tools to deliver behavior analytics and customer insights for improving websites and apps.

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  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.

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  Countly

  Privacy-centric product analytics

  Countly tracks and analyzes user behavior across web, mobile and desktop applications in real time, provides dashboards for event analytics, funnels, cohorts, heatmaps, crash and performance monitoring, push notifications, surveys and A/B testing, and can be deployed self-hosted or on a private 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