Customer Data Platform

Amperity is an identity-resolution-first customer data platform (CDP) founded in 2016 in Seattle by Kabir Shahani and Derek Slager, with $187 million in funding and a $1 billion-plus valuation (Series D, July 2021). It is built around Stitch, a patented machine learning algorithm that combines deterministic and probabilistic matching to unify fragmented customer records across channels, devices, and data formats. The platform serves major retail and consumer brands including Starbucks, Alaska Airlines, Nordstrom, DICK’S Sporting Goods, and Wyndham Hotels & Resorts. Amperity is designed for enterprises that need precise identity resolution as the foundation for customer analytics, segmentation, and activation, particularly those with complex, multi-source customer data scattered across online and offline systems. It is not a developer-first data routing tool like Segment nor a pure activation platform like Hightouch; instead, it positions identity resolution as the core, with downstream capabilities built on top.

Amperity’s product suite is layered around identity resolution: AmpID (AI-powered identity resolution using Stitch), Amp360 (unified customer profiles), AmpIQ (marketing intelligence with predicted customer lifetime value, audience segmentation, and campaign measurement), DataGrid (proprietary data infrastructure for ingestion, unification, analysis, and activation), and Amperity Bridge (lakehouse connectivity to Databricks and Snowflake without copying data, launched 2024). The platform supports schema-free data ingest from any source, 200+ pre-built pipelines for data activation, and AmpAI for generative AI that helps users build segments, write SQL, and explore data. It also includes data governance with full visibility into every data transformation and rules-based access controls. Amperity’s architecture is the inverse of many CDPs: identity resolution is the starting point, and without Stitch unifying records into a golden record, the other products have nothing to work with.

Amperity competes with Treasure Data, Simon Data, Stitch (the open-source data integration tool, not the algorithm), and Hightouch. Unlike suite-embedded CDPs (e.g., Salesforce CDP) or developer-first platforms (e.g., Segment), Amperity is an identity resolution specialist that expanded into broader CDP territory largely through acquisition — its predictive analytics and campaign capabilities came from the 2019 Custora acquisition, not from its original platform. This M&A origin matters: Amperity’s core strength remains Stitch (identity resolution), while the acquired CDP layers (analytics, segmentation, campaign measurement) remain secondary and are the source of its most persistent user complaints. The platform is built on enterprise-grade AI and machine learning, with a lakehouse-native architecture that allows direct data sharing with Databricks and Snowflake in minutes.

Honest trade-offs: Amperity’s pricing and contract negotiation can be challenging, with users reporting upsell pressure instead of resolution of core platform issues. Advanced SQL querying can be difficult despite newer assistive features like AmpAI. Deep multi-platform integration can require substantial technical stack coordination, and support quality appears inconsistent between accounts and issue types. Limited backend visibility and slow technical support responses are common complaints, along with technical limitations around journey inspection and optimization. The platform’s downstream capabilities (activation, analytics, campaign management) are secondary to the unification core, meaning users who prioritize activation-first workflows may find alternatives like Hightouch more suitable. Amperity’s automated Amps pricing model provides transparency and scalability, but users should be prepared for a significant upfront investment in identity resolution before seeing value from the broader CDP features.

Usage-based pricing with the Amps model, providing transparency and scalability. Full access to the platform with no up-front commitments. Specific dollar figures are not publicly disclosed.