Amplitude is an AI-powered digital analytics platform that helps product, marketing, data, and engineering teams understand customer behavior and act on insights. It unifies product and web analytics, session replay, experimentation, in-product engagement, activation, and governed behavioral data in one platform. Teams can explore conversion, retention, engagement, journeys, and feature adoption; diagnose friction; validate ideas with experiments; personalize experiences; and send trusted audiences to downstream tools—helping organizations improve digital products and accelerate sustainable growth.

AI-Powered Digital Analytics Platform

Amplitude gives organizations a unified view of how customers interact with digital products and websites. Its self-service analytics and AI capabilities help teams move from raw behavioral data to measurable action without relying on SQL for every question. Users can analyze funnels, retention, journeys, cohorts, engagement, and marketing performance; connect quantitative insights with session-level context; run controlled experiments; collect feedback; personalize in-product experiences; and activate behavioral audiences across the broader technology stack. A shared data model, governance controls, integrations, privacy, and enterprise security help teams work from trusted data while reducing fragmented point solutions.

Product Portfolio

Amplitude AI & AI Agents

AI-powered analytics capabilities help teams ask questions in natural language, surface insights, automate recurring analysis, summarize customer feedback, and move from observation to action faster. AI Agents are designed to continuously sense changes, decide what matters, and support timely actions across the customer journey.

Product Analytics

Self-service behavioral analytics for understanding the full user journey across digital products. Teams can analyze events, funnels, retention, cohorts, journeys, feature adoption, engagement, and account-level behavior; build dashboards; detect anomalies; and collaborate on findings without writing SQL for every analysis.

Marketing Analytics

Connects acquisition and campaign performance with downstream customer behavior. Teams can measure traffic sources, landing-page performance, conversions, content engagement, and the quality of acquired users, then analyze how marketing interactions influence activation, retention, and revenue.

Session Replay, Heatmaps & Zoning Insights

Adds qualitative experience context to behavioral metrics by showing how users navigate digital experiences. Session Replay helps teams diagnose bugs and friction, while heatmaps and zoning insights reveal clicks, scrolling, engagement, performance, and revenue signals directly on webpages.

Feature & Web Experimentation

Supports data-driven A/B testing for product features and web experiences. Teams can target audiences, manage variants, evaluate results against trusted metrics, personalize experiences, and connect experiment outcomes directly with behavioral analytics to ship improvements with greater confidence.

Feature Management

Provides controlled feature delivery with feature flags, audience targeting, and progressive rollouts. Product and engineering teams can separate deployment from release, reduce rollout risk, manage access, and learn from user behavior as features are introduced.

Guides and Surveys

Enables targeted in-product guides, announcements, onboarding flows, and surveys. Teams can educate users, collect contextual feedback, improve feature discovery and activation, and evaluate the behavioral impact of each experience using the same analytics platform.

Activation

Turns behavioral insights and cohorts into action by syncing audiences and customer data to marketing, engagement, advertising, and other downstream systems. This helps teams orchestrate more relevant campaigns and personalized experiences using continuously updated behavioral signals.

Data Governance, Integrations & Security

Supports a trusted analytics foundation through governed event and property definitions, data quality workflows, privacy controls, enterprise security, and integrations with data warehouses, CDPs (Customer Data Platform), cloud platforms, and business applications. Teams can standardize metrics and make reliable behavioral data accessible across the organization.