Consumer spending insights platform powered by 150M+ card transaction records
Affinity Solutions operates a transaction-analytics business built on Salesforce, Snowflake, BigQuery, and Redshift—a heavy data-warehouse stack typical of companies processing and reselling high-volume card transaction data. The project list reveals an engineering focus on data-quality automation and pipeline optimization, while hiring skews sales (4 roles) and data (3 roles) in near-equal measure, suggesting effort to both expand customer acquisition and solve internal data-reliability challenges that appear repeatedly in their pain-point stack.
Affinity Solutions is a consumer-purchase-insights company that aggregates transaction data from over 150 million credit and debit cards to sell spending visibility to marketing and business teams. The company processes more than 18 billion transactions annually and serves as a data broker and activation platform, helping brands measure campaign effectiveness and loyalty-program performance against real purchase behavior. Based in New York and founded in 2005, the company operates at 51–200 employees across sales, data, and finance functions, primarily in the United States and Canada.
Affinity Solutions runs on Salesforce, Snowflake, BigQuery, Amazon Redshift, AWS (including EMR), Tableau, and LiveRamp. Backend languages include Python, Node.js, PHP, and TypeScript. Data pipelines use Hive and Redshift; infrastructure is containerized via Docker and Kubernetes.
Data quality and governance dominate their pain-point list: data accuracy, pipeline reliability, and quality-monitoring frameworks are recurring themes. They're also transitioning from proxy metrics to outcome-based KPIs and navigating compliance with data-privacy and security regulations.
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.