Top 10 Best Cohort Analysis Software of 2026

Amplitude is a premier product analytics platform renowned for its powerful cohort analysis capabilities, allowing users to segment audiences based on behaviors, events, and attributes to track retention, engagement, and revenue over time. It offers customizable cohort tables, retention curves, and next-action analysis to uncover user lifecycle insights. The platform integrates seamlessly with data warehouses and supports real-time behavioral analytics for data-driven product decisions.

Mixpanel is a powerful product analytics platform specializing in event-based tracking to uncover user behavior insights. It excels in cohort analysis by enabling users to create dynamic cohorts based on acquisition dates, events, properties, or behaviors, then visualize retention curves, engagement tables, and revenue progression over time. The tool's cohort features support identifying churn patterns, optimizing retention strategies, and forecasting growth with customizable metrics and real-time data updates.

Heap (heap.io) is a comprehensive product analytics platform that automatically captures every user interaction without requiring manual event tagging, enabling powerful cohort analysis for retention, engagement, and behavioral insights. It allows users to retroactively build cohorts based on any event, property, or session data and visualize metrics like retention curves over time. Ideal for product teams, Heap combines cohort tools with session replays, funnels, and surveys for a holistic view of user journeys.

PostHog is an open-source product analytics platform that provides robust cohort analysis tools to track user retention, engagement, and behavioral patterns over time. Users can create dynamic cohorts based on events, properties, person attributes, or even custom SQL queries, enabling granular segmentation and analysis without data sampling limits. Integrated with session replays, funnels, and A/B testing, it offers a comprehensive suite for product teams focused on privacy and data ownership.

Google Analytics, particularly in its GA4 version, offers cohort analysis through Explorations, enabling users to group visitors by acquisition date or custom dimensions and track retention, revenue, and engagement over time. It visualizes cohort performance via heatmaps, tables, and line charts, helping analyze user lifecycle and behavior patterns. While not a dedicated cohort tool, it integrates seamlessly with broader web and app analytics for contextual insights.

CleverTap is a comprehensive customer engagement platform with robust cohort analysis capabilities, enabling users to track retention, revenue, and behavioral trends across user groups over time. It supports custom cohort creation based on events, segments, and attributes, offering visualizations such as retention curves, heatmaps, and LTV cohorts. Beyond pure analytics, it allows seamless activation of cohort insights through personalized campaigns and messaging.

Braze is a customer engagement platform with built-in cohort analysis tools that enable users to segment audiences by acquisition date, events, or attributes and visualize retention, churn, and engagement metrics over time. It integrates cohort insights directly into multi-channel campaigns, personalization, and segmentation workflows. While powerful for marketing-driven analytics, it's part of a broader suite rather than a standalone cohort tool.

Adobe Analytics is an enterprise-grade web and mobile analytics platform that provides sophisticated cohort analysis capabilities through its Analysis Workspace. Users can define cohorts based on user attributes, behaviors, events, or segments and track metrics like retention, revenue, and engagement over time periods. It supports advanced visualizations such as heatmaps and breakdowns, making it suitable for analyzing customer lifecycles at scale.

Countly is a versatile mobile and web analytics platform with robust cohort analysis tools for tracking user retention, segmentation, and behavior over time. It enables users to create cohorts based on events, properties, and user attributes, generating retention heatmaps, churn analysis, and longitudinal comparisons. As an open-source solution, it supports self-hosting for data privacy while offering scalable enterprise features.

Matomo is an open-source web analytics platform that provides cohort analysis capabilities to track user retention, engagement, and revenue across user groups defined by acquisition periods like first visit date. It allows customization of cohort tables with metrics such as retention rates, page views, conversions, and e-commerce data over daily, weekly, or monthly intervals. As a privacy-focused alternative to Google Analytics, it enables self-hosting with full data control, making it suitable for detailed behavioral cohort insights without data sampling.