Mixpanel is product analytics software for web and mobile teams: funnels, retention, session replay and experiments, free up to 1M events a month.
Mixpanel is product analytics software that shows how people actually use a web or mobile product, from a first session to the habits that bring them back. It answers what a launch leaves open: where users drop out, which cohorts return, and what changed after a release. Mixpanel, Inc. makes it and sells it self-serve at mixpanel.com under its own name. Events arrive through the JavaScript, Swift and Android SDKs, through server-side libraries, or straight from a data warehouse through Warehouse Connectors, whose Mirror Mode keeps a project in step with the source tables. Reports cover funnels, retention, user paths, cohorts and revenue, and they collect into Boards a team can share. Session Replay and heatmaps sit in the same workspace, so a recording opens from the step being studied. Experiments and Feature Flags run tests from the same place the results are read, with sequential testing, CUPED and SRM monitoring behind them. Metric Trees map the metrics a strategy depends on, and Lexicon holds the tracking plan and schemas that keep event names consistent. Mixpanel suits product managers, growth teams, and the engineers and analysts who support them, in companies from a first launch to a large enterprise. Mobile teams follow installs through to repeat use; web and marketing teams trace campaign traffic to conversion. Data teams already running Snowflake, BigQuery, Redshift or Databricks can analyze that data in place instead of standing up another pipeline. It is bought per project on monthly event volume rather than per seat, and seats are unlimited on every tier. Teams open it to find the step that loses signups, to check whether a release moved retention, and to watch the replays behind a drop-off. Cohort Sync pushes segments to advertising, email and CRM destinations, Data Pipelines export events to BigQuery, Snowflake or S3, and Slack picks up an alert when a tracked metric moves. Group Analytics reads behavior by account or workspace, which is how a B2B team measures a customer rather than a user. The Mixpanel Agent and the MCP server let the same questions be asked in plain language from an AI client.
Features
- Included: Funnel conversion analysis
- Included: Retention and cohort curves
- Included: User path and journey analysis
- Included: Behavioral cohorts by event history
- Included: Autocapture of clicks and pageviews
- Included: Tracking plan with schema enforcement
- Included: Session replay attached to product events
- Included: Warehouse-native event import and export
- Included: Account-level group analytics
- Included: Built-in experiments with feature flags
- Included: Alerts on product metric changes
- Not included: In-app guides and surveys
- Included: Native SDKs for web, iOS and Android
- Included: Identity resolution across devices
- Included: Cohort sync to marketing and ad tools
- Included: EU data residency option
- Included: Free tier with monthly event allowance
Additional Features
- Funnel conversion and drop-off reports
- Retention and cohort curves
- User path analysis
- Behavioral cohorts
- Autocapture of clicks and pageviews
- Lexicon tracking plan and schemas
- Session Replay
- Heatmaps for web
Best for
- Product teams tracking activation and retention
- Mobile app teams measuring installs through to repeat use
- Growth teams running experiments beside their analytics
- Small teams staying under the 1M event free allowance
- Data teams already running Snowflake, BigQuery or Databricks
- Marketing teams measuring web funnels and campaign return
- B2B companies that need usage read by account, not by user
- Projects that must keep event data in an EU region
Use cases
- Finding the step where signups drop off
- Measuring 30 day retention after a launch
- Watching session replays behind a failed funnel step
- Running an A/B test and reading the result in one tool
- Rolling a feature out behind a flag to one cohort
- Building a KPI tree for a quarterly strategy
- Analyzing usage by account rather than by user
- Syncing a churn risk cohort to an email tool
- Reporting on warehouse data without copying it first
- Tracking which acquisition channels bring users who stay
- Alerting the team when a core metric moves
- Auditing event names against a tracking plan
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