Product analytics · Amplitude, Inc.

Amplitude

Cloud-based digital analytics platform for event tracking, behavioral cohorts, session replay, and feature experimentation.

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Amplitude is a cloud-based digital analytics platform focused on product and marketing behavior. Teams use it to track events, build funnels and behavioral cohorts, measure retention, and run feature experiments through built-in A/B testing. The platform layers AI agents on top of this data to surface recommendations and automate parts of analysis, and it includes session replay, heatmaps, and customer feedback analysis for understanding qualitative user behavior alongside quantitative metrics. Amplitude exposes its analytics through a global chat interface and an MCP server that integrates with AI coding tools such as Claude, Cursor, and GitHub Copilot. It is offered purely as a hosted SaaS service, with a free tier covering two million monthly events and paid plans that scale with event volume.

At a glance

Vendor Amplitude, Inc.
Pricing model Free tier + paid plans
Free tier Yes
Deployment Cloud
Open source No
Best for Product teams analyzing user behavior and running experiments at scale.

Pricing

Free plan covers 2M events/month; Plus scales with event volume; Growth and Enterprise use custom event-based pricing via sales.

Plan Price Notes
Free Free 2M events/month forever, no credit card required; includes AI agents, product analytics, 10K monthly session replays
Plus Starts at $0, event-based First 2M events/month free, scales up to 70M events; custom events & formulas; 20 behavioral cohorts; 2-year data retention
Growth Custom, event-based pricing Contact sales; advanced behavioral exploration; SSO & project permissions; 20K monthly session replays
Enterprise Custom, event-based pricing Contact sales; unlimited projects per portfolio; data access controls; advanced user management with RBAC

Prices read from the vendor's own page on September 19, 2026. Vendors change prices; check the source before you budget.

Features

  • Product and marketing analytics
  • Behavioral cohorts
  • Session replay and heatmaps
  • Feature experimentation (A/B testing)
  • AI agents and natural-language analytics
  • Customer feedback analysis
  • Data access controls and RBAC

Integrations

Profile last reviewed September 19, 2026

Head to head

Alternatives

Mixpanel Cloud-based product analytics platform for event tracking, funnels, retention, session replay, and experimentation. PostHog Open-source product analytics suite combining event analytics, session replay, feature flags, experiments and error tracking. Google Analytics 4 Google's free, event-based web and app analytics platform with machine-learning-driven insights and cross-platform reporting.

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Terms to know

Event tracking Capturing specific user actions, such as clicks or purchases, as discrete, named pieces of data. Funnel analysis A method for tracking how users move through an ordered sequence of steps toward a goal, and where they drop off. Retention analysis The study of how many users keep returning to and engaging with a product after their first use. Cohort analysis Grouping customers by a shared starting point, such as signup month, and tracking how their behavior diverges over time. A/B testing A controlled experiment that compares two variants to measure which one produces a better outcome. Role-based access control (RBAC) Granting data or system permissions based on a user's assigned role rather than configuring access for each person individually.

Related guides

Behavioral event data, explained How product and marketing teams turn raw clicks and actions into events, and what separates a usable event stream from a noisy one. How to analyze a conversion funnel Building a funnel in SQL, choosing ordered vs unordered steps, and the ways funnels quietly mislead once you trust them too far. How to choose a product analytics tool Product analytics tools split by how events get captured, who reads them, and whether in-app engagement is bundled in — decide those first. How to define a north star metric What makes a north star metric useful rather than decorative, the input metrics and guardrails around it, and examples by business model. How to run a cohort retention analysis How to build a retention cohort table in SQL, read the curve it produces, and avoid the comparisons that quietly mislead. How to write a tracking plan A practical method for defining events, properties, naming conventions, ownership and QA before anyone ships an instrumentation line.