Introduction: Affinity Solutions’ Consumer Purchase Insights, Syndicated on Snowflake contains over 9 billion annual credit and debit card transactions from over 140MM cards. S. consumer spend.
Data Source: Data is fully permissioned and sourced from 3,000+ financial institution partners. Why clients choose Affinity: Deterministic Data: Card purchases are directly linked to an individual or household. Data Recency: Received Daily from Financial Partners with no manual intervention needed.
Matchability: First and third-party data can be matched to purchase data for deeper insights. Consent: Bank partners and their customers have given consent to use their data for insights and other marketing purposes. Enrichment: Data is enriched with geographic and demographic data to enable deeper insights.
Purchase Graph Details: The Affinity Purchase Graph enables meaningful and powerful insights to support smarter and more effective planning, activation, and measurement. By providing access to the anonymized buying behaviors of consumers across brands, categories, merchants, geographies, and demographics, the Affinity Purchase Graph allows users to uncover and determine the top purchase signals, providing the valuable insights users need to predict future behavior Access the Affinity Purchase Graph via a set of standard query templates. Query debit and credit card transactions for anonymized individuals and households Match first- and third-party data to Affinity data to generate deeper insights and to facilitate other use cases.
USA
2
affinitysolutions.com
Freshness
Single-source
API Status
API Available
Compliance (vendor-reported)
Quality Breakdown
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Affinity Solutions is an alternative data vendor headquartered in USA. Affinity Solutions specializes in 360-degree customer view, commerce, consumer transaction data, market analysis, providers data. This vendor has a Vedex Intelligence Score of 30 out of 100, reflecting market presence, compliance posture, integration readiness, and business maturity.
Affinity Solutions operates in the following alternative data categories.