Compare Foursquare vs. Gravy Analytics

Foursquare is the leading independent location intelligence platform, helping businesses unlock the power of location across marketing, analytics, and product development. With Foursquare Attribution, brands can measure how omnichannel campaigns drive real-world outcomes like store visits and sales across 550+ media partners. Foursquare Audience enables marketers to build high-intent, visitation-based segments, while Foursquare Proximity allows for real-time, privacy-first geofencing to reach consumers based on their current location—both available via self-serve or managed service. For analysts and geospatial teams, Foursquare Studio provides a powerful, browser-based platform to visualize and analyze large-scale spatial data. Developers can access the world’s most accurate and detailed POI database—over 100 million places across 200+ countries—through Foursquare Places and Foursquare Places API, enabling location search, tips, photos, and geotagging within apps. Foursquare Movement SDK powers real-time, location-aware experiences by capturing behavioral context to enrich apps, personalize content, and inform smarter decisions.

Gravy Analytics analyzes enormous volumes of pseudonymous mobile location signals daily, sourced from millions of devices, to gain insights into people's movements and motivations. With billions of location signals generated each day, their extensive events database adds context to countless places and points of interest. The consumer visit data is entirely based on deterministic location information, ensuring accuracy and reliability. They provide verified and refined location datasets accessible through APIs or batch delivery methods. This results in actionable real-world consumer insights related to foot traffic, attribution, and competitive analysis. By creating location-based audience segments, they empower businesses to launch data-driven advertising initiatives effectively. Gravy Analytics aims to assist companies in tackling significant business challenges through high-quality location data. To achieve this, brands and advertisers require contextual understanding to decipher consumer behavior and motivations behind their movements. The selection of local events and activities we partake in not only provides this context but also sheds light on our lifestyles, interests, and personal affiliations, ultimately enriching the data landscape. This deeper understanding can significantly enhance targeted marketing efforts and improve overall engagement strategies.