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skills/loyalty-modeling/SKILL.md
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skills/loyalty-modeling/SKILL.md
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name: loyalty-modeling
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description: Use to model economics, tiers, and impact forecasts for loyalty programs.
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---
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# Loyalty Modeling Toolkit Skill
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## When to Use
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- Designing new loyalty tiers or revamping benefits.
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- Building business cases for loyalty investments.
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- Stress-testing point liability, breakage, and ROI.
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## Framework
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1. **Inputs** – member base, transaction frequency, average order value, churn, CAC.
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2. **Earning Model** – simulate points accrual, mission completion, and bonus events.
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3. **Redemption Model** – estimate burn rates, cost per reward, and liability curves.
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4. **Impact Drivers** – model uplift in retention, cross-sell, referral, or ARPU.
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5. **Scenario Planning** – compare base vs optimized vs aggressive variants.
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## Templates
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- Driver sheet (input assumptions, tier thresholds, rewards cost).
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- Sensitivity table (goal → driver → delta → impact).
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- Executive summary page for approvals.
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## Tips
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- Keep calculators modular so benefits can be toggled quickly.
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- Align with finance on liability recognition + accounting treatment.
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- Pair with `plan-loyalty` command to ensure blueprint is financially sound.
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skills/member-insights/SKILL.md
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skills/member-insights/SKILL.md
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name: member-insights
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description: Use to analyze loyalty member behavior, segmentation, and experiment
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results.
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---
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# Member Insights Skill
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## When to Use
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- Monitoring program health across tiers or regions.
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- Designing personalization campaigns based on loyalty data.
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- Reporting experiment outcomes to stakeholders.
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## Framework
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1. **Data Sources** – transaction systems, product telemetry, MAP/CRM, support, survey tools.
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2. **Segmentation** – tier, lifecycle stage, engagement score, risk/comeback cohorts.
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3. **Metrics** – enrollment funnel, active members, point velocity, redemption, incremental revenue.
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4. **Experimentation** – define guardrail metrics, success criteria, and monitoring cadence.
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5. **Insight Distribution** – dashboards, alerts, and story-driven memos for GTM teams.
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## Templates
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- KPI scorecard (metric → target → actual → variance → owner).
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- Segment heatmap (cohort → engagement → action recommendation).
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- Experiment readout template (hypothesis, lift, guardrails, next steps).
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## Tips
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- Blend quantitative metrics with VOC snippets for context.
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- Tag insights with urgency so ops/marketing can prioritize quickly.
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- Pair with `monitor-loyalty` command to ensure consistent reporting structure.
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skills/reward-ops/SKILL.md
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skills/reward-ops/SKILL.md
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---
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name: reward-ops
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description: Use to run day-to-day loyalty reward catalog management and fulfillment.
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---
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# Reward Operations Skill
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## When to Use
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- Launching or refreshing reward catalogs.
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- Coordinating fulfillment vendors and automation.
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- Auditing operational readiness before major loyalty pushes.
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## Framework
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1. **Catalog Governance** – metadata (SKU, cost, eligibility, expiry), vendor SLAs, localization.
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2. **Fulfillment Automation** – points issuance, redemption logic, webhooks, notifications, support flows.
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3. **Risk & Compliance** – tax reporting, export restrictions, fraud detection, audit logs.
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4. **Support Runbooks** – escalation paths, refund policies, communication templates.
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5. **Continuous Improvement** – performance reviews, vendor scorecards, refresh cadence.
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## Templates
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- Reward catalog spreadsheet with governance fields.
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- Fulfillment flowchart (trigger → system → action → SLA).
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- Incident log + RCA template.
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## Tips
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- Maintain sandbox environments to test new rewards end-to-end.
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- Pair with finance/legal reviews for new reward types.
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- Keep member communications consistent by storing approved macros.
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---
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