Case Study: National Quick-Service Restaurant Chain achieves actionable visit-frequency purchasing insights with Fishbowl Guest Analytics

National Quick-Service Restaurant Chain - Customer Case Study

A national quick-service restaurant chain engaged fishbowl® Guest Analytics to evaluate item popularity and purchasing behavior by visit frequency, asking whether low, medium, and high-frequency guests show different preferences. The goal was to understand which categories each segment favored and whether staples or variety drove purchases.

Guest Analytics segmented customers using transaction data and reported purchasing patterns for each group. Findings showed low-frequency guests explored a broader range of products and were less likely to include a staple item, medium users tended to stick to about two categories, and heavy (and low) users ordered from a wider variety; smoothies were strong across all segments while breakfast, juices and packaged goods skewed higher among low users. The client used these insights to deploy segment-specific communications: sampling a larger variety to low users and featuring favorite products to drive incremental visits from medium and heavy users.