Product and web analytics
Analyze product and web behavior with tools for click, metric, and journey analysis. The product pages describe this as helping teams understand what users do and where friction appears.
Amplitude is an AI analytics platform for product and web teams, combining analytics, session replay, experimentation, and feedback tools.
Amplitude is an AI analytics platform for digital product and web teams that want to understand user behavior, test changes, and act on feedback from a single system. The homepage and product pages position it around analytics, experimentation, replay, and feedback rather than standalone reporting.
The platform combines product analytics, web analytics, session replay, feature experimentation, web experimentation, guides and surveys, AI Feedback, and data governance. The pricing page shows a free Starter plan, a Plus plan starting at $49 per month when billed annually, and custom-priced Growth and Enterprise plans.
Analyze product and web behavior with tools for click, metric, and journey analysis. The product pages describe this as helping teams understand what users do and where friction appears.
Review user sessions alongside analytics data to see the behavior behind metrics. The Session Replay page emphasizes real-time qualitative insight, visual reconstruction of experiences, and AI-powered summaries.
Run feature experimentation and web experimentation from the same platform. The source highlights A/B testing, targeted features, personalized experiences, and experiment results for validation.
Collect feedback through guides, surveys, and AI Feedback. The product and pricing pages describe in-app guidance, surveys, and feedback analysis that turn customer input into action.
Use governance and access controls to keep data organized and manageable. The pricing page references data management, observability for monitoring, data access controls, and protected schemas and workflows.
Connect Amplitude to the rest of your stack with integrations, sources, destinations, and syncs. The pricing page and homepage both position integrations as part of the platform rather than a separate add-on.
Product teams can inspect click and metric data, replay sessions, and compare experiment results to understand which changes improve the user journey.
Marketing and growth teams can use web analytics, session replay, and targeted experiments to understand which content or experiences influence conversion.
Data and operations teams can centralize sources and destinations, apply access controls, and keep behavioral data organized for broader internal use.
Engineering teams can pair analytics with session replay and feature flags to validate releases and investigate user-reported issues with more context.
Customer-facing teams can use guides, surveys, and feedback tools to collect input in-product and steer users toward the right action.
Amplitude is designed to help teams analyze product and web behavior, validate changes with experimentation, and act on insights in one platform. The source pages highlight product analytics, web analytics, session replay, feature experimentation, web experimentation, guides and surveys, AI Feedback, and data governance.
The pricing page shows a free Starter plan, a Plus plan that starts at $49 per month when billed annually, and custom-priced Growth and Enterprise plans. The page also includes plan-specific limits and add-ons such as session replay usage and experimentation capabilities.
The source pages position Amplitude for product teams, marketing teams, data teams, and engineering teams. Session Replay and experimentation features are also presented as useful for growth and digital marketing workflows.
The pricing page and product pages show that Amplitude combines analytics with session replay, feature experimentation, web experimentation, guides and surveys, AI Feedback, and integrations. That makes it suitable for teams that want to measure behavior and test changes without switching tools as often.
The source content does not provide complete setup details or implementation requirements. It does show that some capabilities are self-serve, include a code editor for web experimentation on higher plans, and use plan-based limits for events, sessions, or feedback records.