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Industries We Serve

Capability Highlights

Complex, Data-Driven Problem Solving

Interrogate all of your datasets (and ours) to figure out what’s driving key issues, such as…

  • Loyalty trends
  • Brand perceptions
  • Visit and trial rates
  • Demographic and geographic skews
  • Channel discrepancies
  • Merchandising and promotional outcomes
  • e-Commerce performance
Strategies for Brand Equity Growth
  • Create market segmentations
  • Run periodic brand trackers
  • Test marketing messages by segment and channel
  • Use driver analyses to assess consumer needs
  • Use predictive analytics to model demand

Case Study


Corus optimized the menu for North America’s top casual dining restaurant chain by modeling the effect of fundamental changes through our research platform.

  • Fielded a randomized menu simulation with several thousand respondents over our research platform, letting us measure their reaction to potential changes
  • Conducted driver analyses to determine what aspects of the dining experience brought patrons back (or turned them away)
  • Segmented consumers to enable client decision making on the basis of maximizing loyalty
  • Recommended optimized set of menu items that would appeal to target diners
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