Use to analyze loyalty member behavior, segmentation, and experiment
View on GitHubgtmagents/gtm-agents
loyalty-lifecycle-orchestration
January 22, 2026
Select agents to install to:
npx add-skill https://github.com/gtmagents/gtm-agents/blob/main/plugins/loyalty-lifecycle-orchestration/skills/member-insights/SKILL.md -a claude-code --skill member-insightsInstallation paths:
.claude/skills/member-insights/# 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 1. **Data Sources** – transaction systems, product telemetry, MAP/CRM, support, survey tools. 2. **Segmentation** – tier, lifecycle stage, engagement score, risk/comeback cohorts. 3. **Metrics** – enrollment funnel, active members, point velocity, redemption, incremental revenue. 4. **Experimentation** – define guardrail metrics, success criteria, and monitoring cadence. 5. **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-loyalty` command to ensure consistent reporting structure. ---