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Amplitude captures user interactions in your product and turns them into structured data for insights on user engagement, conversion, and retention. Every click, session, and behavior gets captured as an event that Amplitude contextualizes with user properties. From there, you can run analyses like funnels, cohorts, retention, and segmentation. Ask questions in plain English and get answers instantly. Watch real user sessions. Run experiments and see results in the same tool. Your data also works inside Claude, Cursor, and Lovable via MCP, so you never have to leave the tools you already use. Integrate Amplitude in minutes by: - Including our SDK in your website or mobile app - Connecting to a data warehouse or cloud storage https://amplitude.com/docs/data/data-get-started
Automate Your Analytics - AI Agents execute complex analyses, investigate root causes, build dashboards, surface trends, flag problems, and recommend actions.
Bring Behavioral Context - MCP connects data on your customers and products to the AI tools you use for natural language querying: Claude, Cursor, Github, etc.
Automate Your Analytics - AI Agents execute complex analyses, investigate root causes, build dashboards, surface trends, flag problems, and recommend actions.
Identify Conversion Drivers - See which behaviors drive key outcomes with metrics like a correlation score, behavior frequency, and time between two funnel steps.
Visualize customer paths - Connect data across multiple touchpoints to discover behavior patterns, pinpoint where users drop off, and see which features drive adoption.
Identify Conversion Drivers - See which behaviors drive key outcomes with metrics like a correlation score, behavior frequency, and time between two funnel steps.
Bring Behavioral Context - MCP connects data on your customers and products to the AI tools you use for natural language querying: Claude, Cursor, Github, etc.
Run A/B Tests - Design self-service experiments to target segments validate product decisions before full rollout with unified data models, analysis, and workflows.
Run A/B Tests - Design self-service experiments to target segments validate product decisions before full rollout with unified data models, analysis, and workflows.
Centralize Your Data - Manage one system that syncs customer data across tools, creates user segments for campaigns, and ensures data governance.
Visualize customer paths - Connect data across multiple touchpoints to discover behavior patterns, pinpoint where users drop off, and see which features drive adoption.
Centralize Your Data - Manage one system that syncs customer data across tools, creates user segments for campaigns, and ensures data governance.