Case Study: Leading Fast Food Restaurant Chain achieves 95%‑accurate customer segmentation and targeted offerings with Blueocean Market Intelligence

Attitude and usage segmentation on fast food consumption

Leading Fast Food Restaurant Chain engaged Blueocean Market Intelligence to address declining sales in several U.S. metropolitan areas by conducting attitudinal and usage segmentation and building a predictive model. The client wanted to quantify target opportunities through an attitudinal lens, profile customers by fast food consumption behavior, and target “value” segments for tailored offerings.

Blueocean Market Intelligence applied multiple segmentation methods (agglomerative, divisive, pattern detection), validated distinct segments such as “healthy obsessed” and “food advocates,” and built a discriminant analysis predictive model that classified customers with 95% accuracy on training and test data. The solution enabled customized offerings, proactive targeting of high-value segments, and a repeatable model for ongoing customer classification and targeted messaging.