AdTheorent, Inc., launched a suite of machine learning (ML) solutions for Dining and Restaurant brands and marketers. The solutions enable Quick-Service Restaurant (QSR) and Fast-Casual Restaurant (FCR) marketers to drive measurable business outcomes and are designed for specific campaign goals from increasing foot traffic and visitation, to acquiring new customers and increasing sales.
In 2018 AdTheorent successfully executed dining campaigns delivering an average visitation lift which outperformed industry benchmark by 8X and yielded an average rich media engagement rate 33% higher than industry average. Some of the brands that AdTheorent has executed successful campaigns for include Church's Chicken and Firehouse Subs. Based on the success of these campaigns, AdTheorent has created a suite of ML-based solutions tailored specifically to dining brands' goals and objectives.
"We have seen great success working with AdTheorent to use machine learning to drive incremental visits to Firehouse Subs locations across the United States," said Marisa Burton, Director of Field Marketing, Firehouse Subs. "AdTheorent's Cost Per Incremental Visit pricing model is such an attractive option since we only pay for those incremental visits that resulted from ad exposure."
"AdTheorent's machine learning-powered QSR and FCR products drive real-world value for our dining and restaurant clients," said James Lawson, CEO of AdTheorent. "We are excited to make digital advertising valuable for advertisers as measured by their business goals – including delivering new customers and driving new sales – and we believe performance-based pricing is a big part of that."
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