Case Study: International Fast Food Restaurant Chain achieves better burger launches with Sensesbit

International Fast Food Restaurant Chain boosts repeat purchases 18% with Sensesbit

The international fast food restaurant chain faced a challenge with its new product launches, as it introduced new burgers and sauces without prior sensory validation. This created a disconnect between marketing claims and the actual customer experience, leading to inconsistent commercial results. To address this, the company turned to Sensesbit for its sensory testing and predictive preference modeling service.

Sensesbit implemented a solution where the innovation team ran an A/B sensory validation test with real consumers. This process measured key sensory attributes and used AI to generate an automated preference prediction, enabling a confident launch decision in just six days. The results included an 18% increase in repeat purchase rates and a 5.2x ROI for the chain, allowing them to base decisions on real consumer data rather than internal assumptions.