Step 1
Guest interactions are tracked
Ordering behavior, visit frequency, and offer usage are consolidated.
Analytics Module
Customer behavior
Learn what keeps guests coming back and what offers work best.
Primary Use Case
Marketing and operations teams analyze guest patterns such as repeat frequency, order preferences, and offer response to improve retention and lifetime value.
Complete Analytics Flow
Step 2
Behavior cohorts are formed
Guests are grouped by repeat patterns, spend levels, and engagement signals.
Step 3
Triggers and segments are evaluated
Teams see which incentives and messages drive the strongest response.
Step 4
Retention strategy is improved
Campaigns and loyalty mechanics are refined using behavioral insights.
Use Cases
Repeat Guest Programs
Design retention campaigns based on actual return frequency.
Offer Personalization
Target promotions by guest preferences and previous purchasing behavior.
Churn Risk Detection
Spot declining engagement early and recover at-risk guests.
Loyalty Optimization
Tune reward thresholds to improve redemption and re-order activity.