AnthologyAI - Row Level Transaction Data

**Overview** Real-time, point in time spend and deposit transaction data captured directly from panelists’ linked financial accounts. The data is not limited to card swipes, but also includes a variety of transaction types such as ACH transactions, transfers, withdrawals, and deposits. **Use cases** A new neobank / fintech launch which is a subsidiary of a US regional lender is trying to create a holistic marketing and customer segmentation strategy that aligns with current investment trends. They’ve heard that online retail brokerages like Robinhood and e-Trade are suffering from periodic and sustained withdrawals and lagging earnings and want to know if there’s an opportunity to capture investments moving out of them towards more conservative small-dollar asset managers like T Rowe Price, Fidelity, Fisher Investments etc **Product details** Example table name: spend_income_row_level Included fields: - Alias - Demographic* - Merchant Name - Transaction Category - Top Transaction Category - Is Bill - Is Direct Deposit - Is Expense - Is Fee - Is Income - Is Overdraft Fee - Is Payroll Advance - Is Subscription - Transaction ID - Transaction Price - Transaction Currency - Transaction Type *Eligbility dependent **Additional Insights** Please refer to the links in the product menu for additional documentation including samples & data dictionaries.