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claude-code

Claude-skill-registry-data member-insights

Use to analyze loyalty member behavior, segmentation, and experiment

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry-data
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry-data "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/member-insights" ~/.claude/skills/majiayu000-claude-skill-registry-data-member-insights && rm -rf "$T"
manifest: data/member-insights/SKILL.md
source content

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.