Amplitude

Amplitude is a digital analytics platform for analyzing how people behave across websites, mobile apps, and other digital product experiences. Its event-based analytics covers funnels, retention, user journeys, feature adoption, behavioral cohorts, and revenue-related analysis. When a chart shows a drop-off or unexpected pattern, teams can open Session Replay to watch the corresponding user sessions and examine the behavior surrounding friction rather than relying only on aggregate metrics. Amplitude now extends this analysis through AI Agents that can answer product questions, create charts or cohorts, build dashboards, and analyze replay patterns.

1. Best fit: Product, growth, and digital teams that want behavioral analysis connected directly to product actions. Cohorts created from user behavior can be used to target feature flags and experiments, trigger Guides and Surveys, or sync audiences to external destinations. Amplitude also combines product analytics with feature and web experimentation, feature management, Session Replay, in-product guides and surveys, and Activation, reducing the need to move findings between separate systems before acting on them.
2. Check first: Understand both instrumentation and plan limits. The permanent Free plan currently includes 2 million events per month, 10,000 monthly Session Replays, unlimited seats, and limited access to experimentation, Guides and Surveys, and other platform capabilities. Plus scales with event volume, Growth adds capabilities such as advanced analytics, causal insights, SSO, project permissions, and real-time data streaming, while Enterprise adds advanced security, RBAC, compliance features, and configurable retention. Session Replay also requires additional instrumentation beyond standard Amplitude analytics tracking.

Bottom line: Amplitude is particularly useful when a team wants to move from identifying a behavioral pattern to investigating the underlying sessions, defining the affected audience, and testing or targeting a product change within the same analytics ecosystem.