Amplitude

Product analytics with funnels, retention cohorts and session replay

AI Marketing & E-commerceFree planOverseasβ˜…β˜…β˜…β˜†β˜† 3.0

What is Amplitude?

Amplitude is a product analytics platform used by product teams to see how people actually move through software. You send events from an app or site through its SDKs, then build funnels, retention curves, path analyses and cohorts without writing SQL. A newer layer adds an assistant that answers plain-English questions with charts, flags anomalies and links session replay to the metric under investigation. Those AI features are mostly reserved for higher plans, so on the free tier expect strong conventional analytics rather than a chat interface.

Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.

Key features

  • Event analytics for funnels, retention, paths and cohort building
  • Assistant that answers plain-English questions with charts
  • SDKs for web, iOS, Android and server-side event capture
  • Session replay linked to the metrics a session affected
  • Experimentation and feature flags for measuring release impact
  • Warehouse-native option to query data kept in your own storage

Pros & cons

Strengths

  • Free tier is enough to run real product analytics
  • Cohorts and funnels stay readable for non-analyst teammates
  • Session replay sits beside the numbers it helps explain

Watch out for

  • AI question answering and governance sit on higher tiers
  • Event volume pricing climbs quickly as a product grows
  • Tracking needs real taxonomy planning before it is useful

Best for & use cases

product analytics, funnel and retention analysis, feature adoption tracking and experiment measurement

If you're comparing similar products, check the alternatives below, or browse all tools in the AI Marketing & E-commerce category.

FAQ

What can I do on the free plan?

You can send events from your products, build charts, funnels and cohorts, and invite teammates, within a monthly event allowance. Advanced features such as the AI assistant and some governance controls usually appear on paid plans.

How do the AI features work?

They are a layer over the same event data: an assistant turns plain-English questions into charts, and models flag anomalies in metrics. They read existing data rather than generating content, and deeper predictive features sit on higher plans.

Do I need engineers to set it up?

Somebody has to install an SDK and decide what an event means, which is real work. Once tracking is planned and instrumented, product managers and designers can build their own charts without writing SQL.