Skill

member-insights

Analyzes loyalty member behavior, segmentation, and experiment results for monitoring program health across tiers/regions, personalization campaigns, and stakeholder reporting.

monitoring

data-engineering

From loyalty-lifecycle-orchestration

Install

Run in your terminal

npx claudepluginhub gtmagents/gtm-agents --plugin loyalty-lifecycle-orchestration

Tool Access

This skill uses the workspace's default tool permissions.

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Stats

Parent Repo Stars138

Parent Repo Forks24

Last CommitNov 19, 2025

Actions

View Source View Plugin View on GitHub View README

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-loyalty command to ensure consistent reporting structure.