Performance-Based Solutions Designed to Achieve Measurable Business Outcomes
New York, NY – Oct. 15, 2019 – AdTheorent, Inc., a digital advertising leader using advanced machine learning technology and solutions to deliver real-world value for advertisers and marketers, today announced 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.
Consumers increasingly Rely on Digital Channels for Dining Decisions
The opportunity for QSR/FCR brands to reach consumers via digital channels continues to surge as consumers are increasingly relying on mobile devices to make dining decisions: 53% of diners use smartphones to find a restaurant location, 49% use smartphones to browse menus and 37% use smartphones to research new eateries.1 As the role of digital expands, so does digital ad spend – total ad spend for QSRs has grown 23% year-over-year.2
AdTheorent’s Restaurant and Dining Success
AdTheorent has a proven track record of delivering value for QSR/FCR brands. 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.”
AdTheorent’s Restaurant and Dining Solutions
Advertiser Goal: Acquire New Customers, Drive Incremental Visitation and Sales Lift
Advertiser Goal: Identify and Reach Core Audiences
Advertiser Goal: Competitive Conquesting
Advertiser Goal: Start a Conversation
Advertiser Goal: Deliver Optimal Creative and Messaging
AdTheorent uses advanced machine learning technology and solutions to deliver real-world value for advertisers and marketers. AdTheorent’s industry-leading machine learning platform powers its predictive targeting, geo-intelligence, proprietary relationship graph and in-house creative capability, Studio A\T. This product suite allows advertisers to identify the most qualified individuals coupled with the optimal creative experience to drive campaign performance and deliver on advertiser KPIs at scale.
In the last year, AdTheorent’s solutions have been recognized with numerous awards, including: “Best AI-Based Advertising Solution” (AI Breakthrough Awards), “Most Innovative Product” (B.I.G. Innovation Awards), “Most Innovative Platform” (DMA Innovation Award), as well as Frost & Sullivan’s “Digital Advertising Leadership Award” and Deloitte’s Technology “Fast 500.” AdTheorent is headquartered in New York, with thirteen offices across the United States and Canada. For more information, visit adtheorent.com.
1. Statista. Pre-Dining Smartphone Usage in the U.S. 2016; Available online: https://www.statista.com/ statistics/609812/activities-carried-out-by-diners-on-their-smartphones-us/
2. Standard Media Index; eMarketer calculations, July 23, 2018