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Compare analytics platforms: Behavior analytics + Cohort analysis + Event tracking + Funnels

These platforms match every selected filter. Compare their verified pricing, deployment options, capabilities, and key tradeoffs.

13 matching platforms

A product and web analytics platform for developers that combines usage analytics, session replay, feature flags, experiments, surveys, and data tooling in one stack, with both cloud and self-hosted deployment options.

Best for: Developers and product teams who want analytics, replay, experimentation, and feature delivery in a single toolchain

A product analytics platform for growth and product teams that focuses on funnels, retention, session replay, experimentation support, and fast self-serve analysis across web and mobile.

Best for: Growth teams and product managers who need detailed user behavior insights

A privacy-focused analytics suite available in self-hosted and cloud editions, designed for organizations that need full data ownership, governance controls, and extensible analytics across websites and apps.

Best for: Businesses and organizations that want full data ownership and privacy compliance

Google's mainstream analytics platform for web and app measurement, built around GA4 events, attribution, advertising integrations, and BigQuery-connected reporting for larger deployments.

Best for: All website owners, from small businesses to enterprises

An automatic product analytics platform, now part of Contentsquare, that focuses on low-code event capture, funnels, journeys, enrichment, and enterprise-ready data governance.

Best for: Product teams and marketers who want automatic tracking and user behavior insights

A digital analytics platform for product, growth, and marketing teams that combines product analytics with session replay, experimentation, feature delivery, and AI-assisted analysis.

Best for: Growth teams and product managers who need advanced product analytics

A customer journey analytics platform focused on people profiles, journey analysis, reporting, automation triggers, and AI-assisted customer intelligence.

Best for: Product and marketing teams needing customer journey insights

A digital experience analytics platform combining session replay, heatmaps, funnels, event analytics, and AI insights for both web and mobile.

Best for: Mid-to-large product teams and UX researchers

An AI-assisted digital experience platform that connects web and mobile session replay with product analytics, frontend errors, network logs, performance monitoring, heatmaps, funnels, surveys, and issue diagnosis.

Best for: Product, engineering, support, and UX teams that need replay tied to technical diagnostics and product analytics

A digital experience analytics suite for web and mobile that combines session replay, heatmaps, funnels, journey and product analytics, surveys, revenue insights, error monitoring, AI summaries, and enterprise data feeds.

Best for: Product, ecommerce, UX, and enterprise digital teams that need broad experience analytics across sites and apps

An open-source web and product analytics platform combining cookieless traffic reporting, event analytics, custom dashboards, funnels, retention, revenue tracking, user profiles, session replay, A/B testing, and an optional AI assistant.

Best for: Developers, SaaS teams, and privacy-conscious businesses that want one open-source system for website and product analytics

A hosted web, product, ecommerce, and marketing attribution platform with automatic event capture, funnels, customer journeys, user and account profiles, retention, revenue attribution, AI reporting, and agency white-label options.

Best for: Marketing, product, ecommerce, SaaS, and agency teams that want traffic, product usage, attribution, and client reporting in one service

A product experience and digital adoption platform combining product analytics, retroactive page and feature tagging, funnels, paths, retention, session replay, in-app guides, NPS and other sentiment tools, roadmaps, and AI-assisted insights.

Best for: Product, customer success, and digital adoption teams that need analytics plus in-app guidance, feedback, and enterprise governance

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