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Amplitude

By Amplitude, Inc.

IntermediatePlatform10.1K learners

Amplitude is a product analytics platform that helps teams track user behavior through events, analyze engagement and retention, and use those insights to guide product decisions and growth strategy.

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Definition

Amplitude is a product analytics platform that helps teams track user behavior through events, analyze engagement and retention, and use those insights to guide product decisions and growth strategy.

Overview

Amplitude is built around event-based tracking: rather than just counting page views, product teams instrument specific user actions — signing up, completing a checkout, using a feature — and send them to Amplitude as events with associated properties. Analysts can then build funnels to see where users drop off, cohort users by shared behavior, and run retention analysis to understand how engagement changes over time, without needing to write custom SQL for every question. This event-based approach makes Amplitude particularly suited to product and growth teams trying to understand not just how much traffic a product gets, but how people actually use it and which features drive retention. It's frequently deployed alongside error-monitoring and performance tools such as Sentry or New Relic, which track application health, while Amplitude focuses specifically on user behavior and product engagement — often feeding insights back into experimentation, onboarding changes, and feature prioritization decisions.

Key Features

  • Event-based tracking of specific user actions and properties
  • Funnel analysis to identify where users drop off in a flow
  • Cohort analysis for grouping users by shared behavior
  • Retention analysis to measure engagement over time
  • Behavioral segmentation for targeting and personalization
  • Self-service dashboards for product and growth teams
  • Experimentation features for testing product changes

Use Cases

Analyzing user onboarding funnels to reduce drop-off
Measuring feature adoption and engagement over time
Understanding which behaviors correlate with long-term retention
Segmenting users for targeted messaging or experiments
Informing product roadmap decisions with behavioral data
Tracking the impact of product changes on key engagement metrics

Frequently Asked Questions