Member Insights
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.
🏠
Macro
Overview
Assess member vs non-member revenue contribution and evaluate acquisition channel effectiveness.
🎯
Operational Mode
Tactical Actions
Daily/weekly action list: identify churn-risk members for re-engagement and flag underperforming promotions for deactivation.
🔭
Policy Mode
Strategic Evaluation
Monthly macro evaluation: track AOV spending trajectory shifts and measure long-term loyalty program design effectiveness.
🗂️
Raw Data
Member Directory
Full-access mode: search, filter, and drill down into the complete customer database at individual record level.
💎 Member Insights (Last 30 Days) · 09 Jun 2026 - 08 Jul 2026
97.7%
ACTIVE MEMBER PENETRATION (30D)
Out of 700 total registered profiles evaluated across the trailing 30-day operating window.
🚨 Pipeline Churn Exposure
-Rp 4,523,400
Projected gross revenue at risk across 16 dormant or degrading member profiles.
🌱 Repeat Activation Velocity
0%
Secondary transaction conversion rate for newly acquired profiles within the 30-day window.
🎯
TACTICAL OPERATIONAL DIRECTIVES
Algorithmic retention workflows and immediate execution priorities for front-of-house (FOH) management.
📖 Analytics Page Operational Guide
Evaluate core metric indicators and prioritize operational exceptions highlighted in warning or critical states.
➔
Select any indicator row to isolate its underlying driver metrics and drill into granular root-cause records.
➔
Review supporting evidence and deploy system-generated tactical directives to optimize retention performance.
💡 Methodological Context: Churn & Velocity Benchmarking
These core metrics serve as leading indicators for cohort retention health, enabling proactive FOH intervention prior to structural revenue contraction.
📉
Member Churn Rate Exposure
Algorithmic Defection Detection
Retaining established high-LTV cohorts requires exponentially lower acquisition cost (CAC) than net-new top-of-funnel generation. This metric isolates velocity degradation to optimize win-back workflows.
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Loyalty Milestone Recognition
Lifecycle Milestone Engagement
Acknowledging hyper-specific visit milestones (e.g., 10th, 25th, or 50th transaction) algorithmically reinforces brand affinity and extends the baseline LTV trajectory.
🔭
STRATEGIC HEALTH METRICS
Macro-level evaluation of loyalty program contribution and cohort-level unit economics.
💰 Member Average Order Value (AOV)
Rp 78,852
▼ 0.8%
Non-member benchmark: Rp 79,502
💳 Member Gross Revenue
Rp 269,437,000
📊 37.2%
Share of total restaurant gross revenue.
🌱 Member Acquisition Velocity
0
Net-new enrollments generated top-of-funnel.
📦 Member Order Volume
3,417
📊 37.4%
Share of aggregate organizational ticket volume.
🔁 Transaction Frequency Rate
5.0x
Average ticket velocity
per active cohort member.
🔍
Macro Analytics
Evaluate promotional campaign ROI, transaction velocity trends, and margin optimization directives across member cohorts.
