Drop Technologies Inc.: Row-Level Transaction Data – Sample

PII-cleansed and processed raw transaction data

Description:

PII-Cleansed row level data highlighting both credit and debit/checking transaction, income, and demographic details for a growing panel of opted-in consumers. This now includes enhanced merchant tagging for over 500 tickers.

Geography limitations: US

For transactions:

USER_ID
TRANSACTION_ID
ACCOUNT_ID
ACCOUNT_CREATED_AT
ACCOUNT_TYPE
ACCOUNT_SUB_TYPE
CATEGORY_MCC
PAYMENT_CHANNEL
TRANSACTION_TYPE
NAME
BRAND
CLASSIFICATION
COMPANY
ENTITIES_MERCHANT
ENTITIES_PAYMENT
ISPUBLIC
PRODUCT
TICKER
CONFIDENCE
TRANSACTION_AMOUNT
TRANSACTION_DATE
TRANSACTION_CREATED_AT
TRANSACTION_DELETED_AT
IS_PENDING
PENDING_TRANSACTION_ID
ACCOUNT_INSTITUTION_NAME
LOCATION_STATE
LOCATION_CITY
LOCATION_ZIP
LOADED_AT

For users:

USER_ID (Primary Key)
AGE_BUCKET

Sources:
2.9+ billion transactions tracked
430k linked panel members
500+ tickers
T+1.8 average latency
1.13 million linked debit and credit accounts

Zero party data* comes from consumers

About the Provider:

Drop is a consumer rewards platform (see App) that exists at the intersection of commerce and fintech. By connecting their spend accounts, our users receive a personalized commerce experience that allows them to seamlessly earn rewards for engaging with their favorite brands via custom offers, surveys, games and contests. This dynamic data dividend model has facilitated Drop’s access to a consumer-permissioned transactional dataset.

Visit the provider’s website for more

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