What does Amperity do and what problem does it solve?
Amperity is an AI-powered customer context platform that builds and activates unified customer profiles within a data lakehouse. It solves the problem of fragmented customer data by turning it into intelligence that recommends the next best action for personalized marketing and engagement.
In what situations or use cases is Amperity used?
Amperity is used by enterprise brands to create trusted real-time customer context, deliver personalized experiences, and activate AI for customer engagement. Specific use cases include unifying fragmented data, improving segmentation, and increasing marketing efficiency.
What features or core capabilities does Amperity offer?
Amperity offers AI-powered identity resolution, customer data management with less coding, and activation of customer profiles. Its platform is designed to be a comprehensive customer data platform (CDP) that goes beyond traditional CDPs to build customer intelligence.
What specific results has Amperity delivered for its customers?
Amperity's website states that Wyndham Hotels & Resorts increased conversion rates by 60% with a complete guest view. New Look uncovered 24% more high-value customers, resolving 3.4 million fragmented profiles.
How does Amperity position itself against traditional Customer Data Platforms (CDPs)?
Amperity positions itself as going further than traditional CDPs. It states that CDPs were built to collect and organize data, while Amperity turns that data into intelligence that recommends the next best action.
Who is Amperity for, and what kind of brands use it?
Amperity is for enterprise brands that need to unify customer data and deliver personalized experiences at scale. Its website mentions it is trusted by brands like Citizen Watch, Wyndham Hotels & Resorts, New Look, and Alaska Airlines.
What is Amperity?
Amperity is an AI-powered customer context platform that uses AI to build and activate customer profiles in a data lakehouse, offering faster, smarter data management with less coding.