Amplitude
AI product analytics used by 150,000+ teams at Shopify, Atlassian, and Peloton - Ask Amplitude lets teams query behavioral data in plain English.
Amplitude is a product analytics platform that tracks user events across web and mobile applications, enables behavioral cohort analysis and funnel measurement, and includes Ask Amplitude - an AI assistant that answers product questions in plain English without requiring SQL or query-building knowledge. Founded in 2012 by Spenser Skates, Curtis Liu, and Jeffrey Wang in San Francisco, Amplitude went public on the NASDAQ in 2021 and serves 150,000+ customers including Shopify, Atlassian, Peloton, and Burger King. The platform added Session Replay in 2023, combining recording playback with behavioral analytics so product teams can view session videos for any user in any cohort without switching tools. Amplitude's data warehouse sync exports all event and user data to Snowflake, BigQuery, or Redshift so engineering and data teams can join product analytics with revenue and support data in their existing BI infrastructure.
Key Features
- Ask Amplitude AI answers product questions in plain English and generates charts, cohorts, or funnels automatically from a natural language question
- Behavioral cohort builder segments users by any event sequence, property value, or funnel position without SQL - cohorts update retroactively as new data arrives
- Funnel analysis measures conversion rate at each step of any user flow with breakdowns by platform, acquisition source, or any custom user property
- Session Replay captures user interaction recordings linked directly to analytics events so teams can watch sessions for any cohort or drop-off segment
- A/B testing runs controlled product experiments on any event or funnel metric with automatic statistical significance calculation and holdout group support
- Retention charts show daily and weekly user retention by cohort with drilldown into the specific early behaviors that correlate with long-term retention
- Snowflake, BigQuery, and Redshift warehouse sync exports all event and user property data for joining with revenue, support, and marketing data in BI tools
Use Cases
- Product managers querying user behavior data in plain English using Ask Amplitude without depending on a data analyst to write the underlying SQL query
- Growth teams measuring the conversion impact of onboarding changes by running A/B tests and reading funnel metrics in the same platform without switching tools
- Mobile app teams watching Session Replay recordings of users who dropped off at a specific onboarding step to diagnose the exact UX friction causing the drop
- Engineering teams using warehouse sync to combine Amplitude event data with subscription revenue in Snowflake for cohort-level LTV and ROI analysis
Pros
- Ask Amplitude natural language querying reduces analyst dependency for ad-hoc product questions - product managers self-serve answers without SQL bottlenecks
- 150,000+ customers including publicly listed companies validate enterprise-grade reliability and a data model that scales to billions of events per month
- Session Replay integrated with behavioral analytics means product teams access both the aggregate funnel data and individual session recordings in one platform
Cons
- Growth plan pricing scales steeply with monthly tracked users - high-traffic mobile applications can face large monthly bills as their user base grows
- Building complex behavioral cohorts and multi-event funnels has a steeper learning curve than simpler tools - teams benefit from formal onboarding time investment
- Free Starter plan limits teams to 10M monthly events with restricted feature access - active apps often exceed this limit and need the paid Growth tier quickly
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