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.