Member Directory
Member behavior analysis dashboard: evaluate RFM segmentation positioning, acquisition velocity, spending patterns, and promotional campaign efficiency.
💡 How to choose a subpage
Use this guide to select the layer of member behavior analysis according to your operational needs.
Overview
Assess member vs non-member revenue contribution and evaluate acquisition channel effectiveness.
Tactical Actions
Daily/weekly action list: identify churn-risk members for re-engagement and flag underperforming promotions for deactivation.
Strategic Evaluation
Monthly macro evaluation: track AOV spending trajectory shifts and measure long-term loyalty program design effectiveness.
Member Directory
Full-access mode: search, filter, and drill down into the complete customer database at individual record level.
Member Cohort Database
Utilize dynamic filtration criteria below to isolate specific guest segments and analyze unit-level behavioral profiles.
Cohort Economics & Behavioral Mapping
Tier Distribution Matrix
Lifetime Value (LTV) vs. Recency Degradation
💡 Behavioral Status & Intervention Protocols
Algorithmic logic governing guest status classification and prescribed operational workflows.
Operational Logic: If Guest A exhibits a baseline frequency of every 3 days, and current recency is 10 days, the engine flags a 7-day velocity delay.
Velocity Delay ≤ 7 Days
Guest continues to transact within their statistical baseline. No operational intervention prescribed.
Velocity Delay 8-14 Days
High-LTV (Gold/Top Silver) profile exhibiting visit deceleration. Prescribed action: Deploy automated, low-friction win-back incentives.
Velocity Delay > 14 Days
High-LTV profile statistically probable for competitor defection. Prescribed action: Mandate immediate manual FOH or management outreach.
Sub-LTV Threshold
Lower-tier profile demonstrating frequency decay. Algorithmic suppression prevents misallocation of staff bandwidth on low-yield follow-ups.