Aggregated card, bank and receipt data showing how money moves.
3 data products and services
Daily aggregated debit and credit card spend for 42,000 UK merchants from a de-identified panel of 2.4 million consumers, mapped point in time to 640 listed tickers since 2017.
Weekly consumer spending for 140 categories and 12 UK regions from consented open-banking connections, with income-band splits, real-terms series and small cells suppressed.
SKU-level basket data from 650,000 consenting shoppers' e-receipts in the UK and US, aggregated weekly to retailer, brand and product with prices, units and buyer penetration.
Transaction and payments data shows how money moves: what consumers and businesses spend, where and on what. Investors use it to track company revenues before they are reported, brands and retailers to measure market share and customer behavior, economists to follow consumer spending, and payment and fraud teams to understand merchants.
Card data is strongest for tracking merchant-level revenue trends with low lag. Receipt data adds item and basket detail, usually from smaller panels. Bank data captures spending across payment methods, including transfers and direct debits. Merchant data is reference data for enrichment, risk and sales targeting rather than a spend signal.
Transaction data originates from individuals, so it must be de-identified and aggregated before sale, with minimum thresholds that prevent re-identification. DataStoa does not allow payment card numbers, bank account details or data that identifies a person's transactions. Panels also carry bias: they over-represent customers of the banks, card issuers or apps that supply them.
Last reviewed on 11 Nov 2026
Card transaction dataUnited StatesOngoing feedDemo request
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