Alternative data for investors data

Alternative data for investors is any non-traditional dataset that helps anticipate company performance or economic trends before official figures are published. Examples include aggregated card spend, web and app usage, job postings, shipping records, foot traffic, online prices and satellite counts. Buyers are hedge funds, quant teams, asset managers, private equity firms and corporate strategy teams.

Typical fields:

• Entity or brand name with ticker and security identifier mapping
• Date and point-in-time publication timestamp
• Signal value, such as spend, visits, listings or downloads, with its unit
• Panel size or coverage measure for each period
• Methodology notes and a change log

Sources and collection

Signals come from consumer panels, public web collection, sensors, government records and companies that generate data as a by-product of their business. Raw data is cleaned, debiased where possible, aggregated and mapped to companies. That mapping, from merchants or domains to brands to parent companies to tickers, is where much of the value and many of the errors sit.

Delivery and pricing

Most datasets ship as daily or weekly files to cloud storage or a warehouse share, sometimes with a dashboard. Pricing is typically an annual subscription per dataset, with trials so funds can backtest. Exclusivity, history depth, ticker coverage and latency drive price.

Before you buy

• Ask how the panel changed over time and whether values are normalized for panel churn.
• Test for look-ahead bias using point-in-time timestamps.
• Check ticker mapping for subsidiaries, brand sales and corporate actions.
• Request compliance documentation on sourcing, consent and material non-public information.
• Backtest against reported KPIs, not just stock returns.