Top Restaurants in US and by DMA

Using the Best Purchase Data Available, We Have Ranked the Top Restaurant Chains Across Casual, Fast Casual, and QSR in the Country We broke out the top restaurants by dining spend across the three major categories of Casual Dining, Fast Casual, and QSR. The Top 10 U.S. DMAs: (click to jump) Atlanta   |   Boston   |…

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Case Study:
Neutronian

Neutronian Study Confirms Value of High-Affinity Methodology Affinity-based segments were matched to industry standard purchase data to understand if there was a significant lift in purchase behavior based on consumers affinity for certain products and categories. Affinity scores ranged from 1-10. Low-Affinity was 1-3. High-Affinity was 8-10. Results The results confirm a significant lift in…

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Case Study:
Great Learning

Eclipsing Great Learning’s Benchmarks Opportunity Help Great Learning affect their two biggest issues: Qualify existing leads for specific courses Efficiently find new leads for specific courses Data Approach We created specific threads within our TrueAffinity® model to identify when people engaged with certain topics (i.e #artificialintelligence) across Twitter, Facebook and Instagram. People who engaged with…

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How Restaurant Marketers Can Stay Ahead of the Decline

The impact of the economic downturn is having an effect on most every industry, and restaurants are certainly not immune. As price levels rise, consumers are seeing higher menu prices at restaurants, which makes dining out more expensive for consumers. As inflation continues to grow, it is slowly eroding purchasing power, making it more difficult…

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Is “Targeted Scale” Achievable?

Targeted scale has been the apex of most performance focused marketers since the advent of reporting and attribution. But only recently has it become more of a reality. With advancements in data and AI technologies, brand advertising which was predominantly on Linear TV, bought based on broad demographics, is now taking a pivotal step closer…

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