GSDSI (Global Source Data Solutions Inc.) powers media companies, sports franchises, entertainment venues, and streaming platforms with cross-device audience intelligence — ~13–14M monthly CTV IDs from ACR panels across ~90M CTV households, ~200M+ U.S. MAID-to-HEM identity pairs, 700M+ global mobility devices for venue-level event analytics, and clickstream signals for cross-platform content attribution. The media and entertainment industry is going through a fundamental transformation as audiences fragment across linear television, connected TV, streaming platforms, social media, and live events. Understanding how audiences engage with content across these touchpoints, and monetizing that understanding through advertising, sponsorship, and content licensing, requires data that spans the entire consumption landscape. GSDSI gives media companies ACR-derived viewership data from millions of smart TVs, capturing both linear and streaming content consumption at the household level with daily refresh cadence. Sports franchises and entertainment venues use our location intelligence to measure event attendance, analyze visitor origins, track repeat visitation, and quantify the real-world foot traffic impact of game-day or concert promotions. Sponsorship valuation teams combine CTV exposure data with venue foot traffic to measure the full impact of brand partnerships: how many households saw the sponsorship on television and how many physically attended the event. Content distributors use cross-platform audience overlap analysis to identify viewer segments that consume content across multiple properties, informing content acquisition decisions, ad inventory packaging, and audience extension strategies for advertisers seeking incremental reach beyond their primary media buys.
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.