Gravy Solidifies Market Leadership through TruLifeTM Premium Audience Partnerships with Oracle, Neustar and Lotame

    Leading DMPs continue to select Gravy to deliver event-attendance-based Lifestyle and Intender Audiences for clients and partners.

    Leesburg, Va., July 25, 2016. Gravy, the only location-based customer intelligence platform based on verified local event attendances, today announced partnerships with Oracle’s Data Cloud, Neustar’s PlatformOneTM and Lotame’s Marketplace to bring Gravy TruLife audiences to their clients and partners.

    In response to brand-advertiser demand, Gravy’s unique audiences, built on the local events and activities mobile consumers engage in and the places they go in their daily lives, are now available at-scale within these leading DMPs. For the first time, brands, DSPs, agencies and media companies have access to TruLife lifestyle and in-market segments ranging from active athletes and live music lovers, to active home and auto shoppers and dozens more.

    “We’re pleased that these market leading companies selected us to deliver the types of highly committed consumers brands can’t find anywhere else,” said Jeff White, CEO, Gravy. “We look forward to helping drive performance and deliver unique capabilities in their respective platforms.”

    TruLife premium audiences are fueled by Gravy’s Open Geo-Signals Cloud network, and processed against Gravy’s AdmitOneTM attendance verification platform. AdmitOne processes billions of Geo-Signals daily, rigorously verifying consumer attendances at events, activities and places to create conclusive Gravy TruLife audience segments.

    About Gravy

    Gravy is the only mobile, location-based customer intelligence platform identifying consumers’ passions based on verified attendances at local events and venues.  Gravy combines conclusive geo-signal knowledge of where consumers go and what they do with its AdmitOne™ attendance verification engine.  As a result, Gravy gives brands TruLife™ predictive segmentation, Lifestyle and Intender audience targeting and foot traffic attribution. Built on Privacy by Design principles. For more information, visit