1.2 KiB
1.2 KiB
name, description
| name | description |
|---|---|
| member-insights | Use to analyze loyalty member behavior, segmentation, and experiment results. |
Member Insights Skill
When to Use
- Monitoring program health across tiers or regions.
- Designing personalization campaigns based on loyalty data.
- Reporting experiment outcomes to stakeholders.
Framework
- Data Sources – transaction systems, product telemetry, MAP/CRM, support, survey tools.
- Segmentation – tier, lifecycle stage, engagement score, risk/comeback cohorts.
- Metrics – enrollment funnel, active members, point velocity, redemption, incremental revenue.
- Experimentation – define guardrail metrics, success criteria, and monitoring cadence.
- Insight Distribution – dashboards, alerts, and story-driven memos for GTM teams.
Templates
- KPI scorecard (metric → target → actual → variance → owner).
- Segment heatmap (cohort → engagement → action recommendation).
- Experiment readout template (hypothesis, lift, guardrails, next steps).
Tips
- Blend quantitative metrics with VOC snippets for context.
- Tag insights with urgency so ops/marketing can prioritize quickly.
- Pair with
monitor-loyaltycommand to ensure consistent reporting structure.