Drop Technologies Inc.: Curated Feed – Trial
Model ready aggregated data available on a daily basis across all tickers
Model-ready, aggregated data, available on a daily basis across all tickers, with point-in-time curation. Proprietary normalization techniques reduce the noise in the transaction data for direct input into modeling. The normalization process includes the elimination of outlier transactions that have the potential to negatively impact company KPIs, a full audit and removal of duplicate transactions, and applied business logic to mapping protocol based on machine learning and reg ex matching.
Geography limitations: US
2.9+ billion transactions tracked
430k linked panel members
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.