Taptap Digital has a broad range of location-based targeting tools. Its platform, which combines location intelligence and contextual relevance for real-time ad and marketing activation, includes features like predictive modeling, omnichannel media buying and location intelligence to help brands target the right audience.
Another good option is AdTheorent, which uses machine learning for predictive targeting, geo-intelligence and cross-environment mapping. The platform is geared for real-world results, with the ability to identify high-probability converters and link real-world and digital touchpoints for cross-device targeting. It's good for auto, dining, health care, financial services and retail.
Proximic is another contender with AI-based contextual intelligence. The company's platform includes ID-free targeting, predictive audiences and content targeting, which means ads are placed next to content that's likely to be of interest. That can help both media buyers and sellers increase audience engagement and monetization without sacrificing privacy.
If you want to put the customer first, Spatial.ai uses organic consumer behavior data to help marketers measure performance and make location-based decisions. The company's PersonaLive, Proximity and FollowGraph tools let you categorize people by behavior and measure consumer interest by geography. That's good for retail, restaurants, marketing and financial services.