Aampe's Agentic CDP is the most efficient and effective way to put your data to use to achieve your business goals. Just like a standard CDP, Aampe collects, unifies, and activates your data to your downstream tools, but that's just the beginning. Aampe then applies a reinforcement learning/multi-armed bandit infrastructure on your data to discover and act on deep patterns within your data — orchestrating and sending multi-channel messaging, building unique real-time product experiences, improving product and content recommendations and more, to improve key business metrics, such as engagement, conversions, retention, and data generation. Here's how Aampe works: 1. Uses APIs and a custom reverse ELT process to ingest data from your various data sources (including data warehouses, CRM systems, content management systems, and more) 2. Combines the data mentioned above with data generated from semantically-tagged messaging 3. Runs various propensity models on this data to understand each individual user's propensity to purchase, view, subscribe, churn, etc. 4. Uses these user-level patterns and propensities to determine user-level messaging frequency, timing, tone, channel, and content preferences, as well as driving content recommendations for search, recommender, and chat applications. 5. Executes the individual user-level strategies determined in step 4, continuously adapting based on new information gained from additional user behavior and interactions. Using Aampe's reinforcement learning infrastructure, teams that use Aampe spend less time building manual segments and customer journeys, and more time identifying and executing new experiments and experiences for their users. Aampe was founded in 2020 and is a completely remote company with employees in over 10 different countries around the world.