Card transaction data for purchase-based audiences and campaign measurement
Affinity Solutions turns credit and debit card transaction data into consumer spending insights that brands use to measure campaigns and target audiences. Its stack pairs Snowflake, Databricks, Redshift and AWS EMR with LiveRamp and OpenAI, a data-clean-room-adjacent setup. Hiring is accelerating and sales-led, with recurring pain around data quality, transaction string resolution and privacy-preserving modeling.
Affinity Solutions is a privately held consumer purchase insights company headquartered in New York, NY, founded in 2005. It aggregates card transaction data into a unified view of consumer spending, helping businesses judge whether campaigns and loyalty programs drove real purchases. The company sells to agencies, holding companies, brands and digital platforms. It employs 51–200 people and currently hires in the United States.
Affinity Solutions uses Python, TypeScript and PHP (Symfony) on AWS, with Snowflake, Databricks, Redshift, Hive and AWS EMR for data, plus LiveRamp, OpenAI, Tableau, Salesforce, Docker and Kubernetes.
Yes. Hiring is accelerating in the United States, led by sales roles with additional data and engineering openings, skewed toward senior-level positions.
Current work includes automated data quality monitoring, future spend prediction, privacy-safe embeddings, campaign measurement methodology, and a go-to-market push toward agencies, brands and digital platforms.
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Affinity Solutions's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.