Amplitude is a mobile analytics engine that measures app conversion rates, identifies where users are dropping out of the conversion funnel, tracks how "sticky" the app is (how many users return over time). Behavioral cohorting defines a group of users based on specific actions they have or have not taken in the app, over any time frame and at any level of depth.

Amplitude CDP is an insights-driven customer data platform that both collects and analyzes event data with its natively integrated industry-leading product analytics solution. With Amplitude CDP, product and marketing teams proactively improve data quality, analyze and discover new audiences, and sync data across their marketing and data stack. Amplitude’s CDP coupled with analytics helps customers become more operationally efficient, enables better, faster decision making, and increases customer engagement.

Amplitude’s Digital Optimization System helps digital teams deeply understand customer behavior in the digital product, predict which features and actions lead to business outcomes, and adapt each experience in real time to maximize its business impact. The Digital Optimization System unifies the data, analytics, and infrastructure required to deeply understand which customer product behaviors lead to business outcomes — and to quickly and intelligently transform each experience based on these insights.

Amplitude Experiment is an experimentation solution born from analytics and customer behavior that provides organizations an end-to-end experimentation and delivery workflow that integrates customer data into every step from generating a hypothesis to targeting users to measuring results. Determine and deliver the best customer experience without adding another silo, because with Amplitude Experiment, everything you need is in one place, A/B tests, feature flags, behavioral data, identity resolution, payloads, and proactive analytics.

Amplitude Recommend is a self-service personalization engine that is powered by machine learning, behavioral data, and product analytics. Recommend helps determine which behaviors result in the optimal business outcome, such as conversion to purchase or average order size, and then adapts each individual experience based on these insights to optimize the desired outcome. Centralize audience management with Behavioral Cohorts, build behavior-based audiences with Computations, anticipate future behavior with Predictions, and create one-to-one experiences with Recommendations.