GSDSI (Global Source Data Solutions Inc.) supplies hedge funds, asset managers, and institutional investors with a tickerized alternative-data suite mapped to 2,000+ public company tickers — spanning web engagement, CTV exposure from ~13–14M monthly CTV IDs, ~390M daily CPG purchase signals, 700M+ device foot-traffic, and 155M U.S. property records — with five-plus years of history for backtesting. The alternative data landscape for financial services has matured rapidly, with institutional investors increasingly relying on non-traditional signals to generate alpha and manage risk. GSDSI serves this market with a full suite of consumer and location intelligence products specifically structured for quantitative and fundamental investment analysis. Our tickerized data maps web engagement, CTV ad exposure, foot traffic, and CPG purchase behavior to 2,000+ public company tickers through proprietary brand-to-parent hierarchies, delivering daily-updated signals with five or more years of history for backtesting. Hedge funds use foot traffic data as a real-time revenue proxy, detecting same-store sales acceleration or deceleration at retailers and restaurants weeks before official earnings releases. Asset managers monitor brand momentum through clickstream-derived digital share-of-voice metrics, identifying companies gaining or losing consumer mindshare. Risk teams use CPG transaction signals, CTV ad-exposure patterns, and 155 million real estate property records to monitor consumer financial health and collateral value across lending portfolios, catching deterioration in borrower quality or property valuations before it shows up in delinquency and default statistics.
GSDSI's data catalog is used across this vertical for procurement, activation, measurement, and risk scenarios that require identity-resolved, privacy-safe signals at scale. The combinations vary by use case — adtech programs lean on identity graph plus CTV/ACR plus clickstream; insurance programs lean on property data plus consumer signals; real-estate programs lean on property plus mobility plus POI — but the evaluation pattern is consistent: scoped sample, match-rate audit, privacy-envelope review, and production sign-off against documented SLAs.