[SAMPLE] PG | Consumer Spending Data | 128k users, 105M Transactions | Consumer Purchase Data ...

What makes our data unique?

Our Consumer Spending Data covers a span of 9 years and includes 105 million transactions across 128k users, ensuring robust data quality and depth. With detailed transaction-level insights and demographic data, companies can unlock precise behavioral patterns, predict spending habits, and conduct identity verification with high confidence.

How is our Consumer Spending Data sourced?
Users connect their bank accounts to our product, and we aggregate all their Consumer Spending Data using Finicity and Plaid.

Main Attributes of the Consumer Spending Data:

- Transaction information: such as the posted date, amount, merchant data, currency, and recurring status.
- User-specific details: including user country, city, state, zip code, and spending habits, reflecting both Consumer Spending Data and Consumer Purchase Data.
- Demographic attributes: like gender, birth year, marital status, employment status, and credit score, contributing to detailed Consumer Demographic Data insights.
- Identity verification elements: through KYC Data including user identification and transaction behavior, which aid in identity and credit assessments.

Key use cases for Consumer Spending Data:
- Behavioral Insights: Utilize Consumer Spending Data to uncover precise behavioral patterns and predict future spending habits, aiding in targeted marketing and financial planning.
- Targeted Offerings: Combine Consumer Purchase Data with demographic attributes to tailor products and services to specific user segments.
- Identity Verification: Leverage KYC Data for secure identity verification and credit assessments, ensuring transaction security and regulatory compliance.
- Enhanced Customer Experience: Use the depth and breadth of Consumer Spending Data to improve customer interactions and operational efficiency.