Alternative data datasets
Browse by provider, category, marketplace, access, delivery and license
Identify high-spending consumers across 10 categories
Sample data of modeled dollar amount of what a household likely has to spend on discretionary items
A US debit and credit expenditure dataset built from hundreds of millions of consumers and used to model same-store performance.
Multi-level hierarchical classification of household expenditures covering the majority of annual household expenditures
US Signals - Retail Softlines Consumer Spending Forecast. Prosper US Signals series of datasets includes leading indicators and advanced predictive analytics derived from Prosper’s scientifically collected monthly measurement of over 7,500 US consumers covering forward looking spending plans, retail channels, motivations, and economic outlook. Prosper US Signals are excellent training datasets for
Gender, Location, and Transaction Trends
An anonymized consumer purchase dataset from Bloomberg Second Measure that projects corporate revenue ahead of official disclosures.
Medicaid claim expenditures attributed at the provider level using National Provider Identifiers, covering more than 200 million claims across over fifty states from 2018 onward.
Location and Transaction Trends
The fingerprints of federal cash flows: daily Treasury statements, debt to the penny, TGA balances, auction results, interest rates and monthly spending by category, all via open APIs and prized by liquidity and rates desks.
Structured datasets on United States federal expenditures, contracting activity and agency disbursements intended for public-sector demand analysis.
Near-real-time consumer expenditure analytics sourced from several payment processor collaborations.
Canadian foodservice revenue covering dine-in and e-commerce channels across every payment type.
View source information and access options.
View source information and access options.
Gender, Location, and Transaction Trends
The full register of federal contracts, grants and loans, recipient names, NAICS codes, place of performance and dollar amounts, downloadable or API-accessible, mapping government revenue exposure down to the district.
A high-volume retail transaction analytics system that supports custom panel queries for demand forecasting.
credit_card_transactions is a small tabular dataset published by aegisheld containing anonymized customer-level credit card account and spending summaries. It is distributed as CSV with a single training split of 8,950 rows.
Engage recent homebuyers during their high-spending phase, with roughly 125,000 new owners reached per month.
US patent full text assembled by the Allen Institute from the USPTO, millions of records under ODC-BY: claims, abstracts, descriptions and metadata, in Parquet. A broad base for measuring IP intensity, technology landscapes and the direction of R&D spending.
Historical sample from consumer spending data derived from a panel of 4+ million cards with 100% fill rate in 1 day or less from transaction. Insight into low to middle income consumers, online vs. offline payment indicators, and store/merchant location.
Aggregated consumer spending indicators built from Bank of America's own debit and credit card activity across tens of millions of accountholders.
Freely available Medicare and Medicaid claim files, including provider utilization, inpatient and outpatient summary claims, durable equipment, prescription drug events and hospital price transparency, the fullest public picture of US healthcare demand.
Cardholder spending information from a non-traditional panel, broken down by geography and merchant category.
Retail forecasting analytics built from Facteus card-spending records.
Payments-focused datasets and analysis tracking transaction volumes, processing networks and overall market composition.
Research into how age groups shift their interests, spending habits, hobbies, and financial behavior over time.
Consumer spending behavior of supporters of major American professional sports leagues and their constituent franchises.
Input collected from 1,037 CTOs, CIOs, and COOs overseeing software spending ranging from $500K to $10M.