Amperity

Overview

Amperity is an AI-powered Customer Data Cloud platform that helps businesses unify customer data from various sources. It creates comprehensive customer profiles to drive marketing, analytics, and AI initiatives. The platform aims to provide a single, reliable customer view to improve customer relationships and business outcomes.

Key Features

• AI-powered Identity Resolution — Unifies customer profiles across online and offline data, creating an identity keychain to link customer data without losing context.
• Schema-free Data Ingest — Ingests and normalizes data from any source regardless of format, supporting flexible data integration.
• Customer 360 — Generates high-value attributes and ensures data quality with built-in validation workflows and QA tooling.
• AmpAI — Fuels decision-making with generative AI for segment building, SQL writing, and data exploration.
• Customizable Segmentation — Allows users to build granular segments quickly using a point-and-click editor with conditions for nested audiences.
• Reverse ETL — Sends data assets to various destinations using pre-built pipelines that automatically format data.
• Data Sharing — Facilitates direct and secure data sharing with data lakehouses like Databricks and Snowflake using open, industry-standard data formats.

Who It's For

Amperity is designed for enterprises across various industries, including retail, airlines, hotels, and financial services, that struggle with disconnected customer data. It targets marketing, data, and IT teams seeking to unify customer profiles, enhance personalization, and improve data-driven decision-making. The platform is suitable for organizations looking to leverage AI for customer understanding and engagement.

Notable Strengths

Amperity's primary strength lies in its AI-powered identity resolution, which can unify millions of customer profiles from disparate sources, as evidenced by a 3X loyalty conversion increase for Alaska Airlines. The platform emphasizes a "zero-copy" data sharing approach, allowing direct integration with data lakehouses like Databricks and Snowflake, which can reduce ETL complexities and ensure data security. Its comprehensive suite of features, including generative AI for data exploration and pre-built pipelines for data activation, aims to empower business users with self-service capabilities and accelerate data utilization.