Performance-First Machine Learning (ML) Modeling

Identify and engage diners within brand targeting parameters

Use custom ML models to drive performance at each step of the dining journey; tie upper-funnel campaigns to lower-funnel conversions

Supplement targeting with first-party Real-Time Signals

Geo-Intelligence Solutions

Reach the most qualified consumers who are in, or near, a specific location with AdTheorent’s Point of Interest capability, along with award-winning data science capabilities that power AdTheorent’s geo-intelligence solutions

Drive foot traffic and engage consumers who are near your dining locations or competitor locations with geo-fencing

Use geo-retargeting to message your target audience as determined by the places they have visited and reach them when they are most receptive

Drive new visits to a given location and leverage third-party reporting showing the Cost Per Incremental Visit

Compliance and Privacy-First Approach

AdTheorent ML models do not use or need sensitive personal data

AdTheorent's targeting and modeling adhere to NAI Code best practices, GDPR, CCPA, and other applicable privacy standards

Studio A\T Creative

Tap into AdTheorent’s in-house design studio for best-in-class customized creative on every campaign

Develop creative units that inform consumers of their dining options

Embed ML technology within all creative to empower consumers to engage and explore dining options at all stages of the decision-making process