Loyalty Modeling Toolkit Skill

loyalty-modeling

Use to model economics, tiers, and impact forecasts for loyalty programs.

gtmagents/gtm-agents·0installs411starsFinance & Trading

SKILL.md

Full skill instructions

Loyalty Modeling Toolkit Skill

When to Use

Designing new loyalty tiers or revamping benefits.
Building business cases for loyalty investments.
Stress-testing point liability, breakage, and ROI.

Framework

Inputs – member base, transaction frequency, average order value, churn, CAC.
Earning Model – simulate points accrual, mission completion, and bonus events.
Redemption Model – estimate burn rates, cost per reward, and liability curves.
Impact Drivers – model uplift in retention, cross-sell, referral, or ARPU.
Scenario Planning – compare base vs optimized vs aggressive variants.

Templates

Driver sheet (input assumptions, tier thresholds, rewards cost).
Sensitivity table (goal → driver → delta → impact).
Executive summary page for approvals.

Tips

Keep calculators modular so benefits can be toggled quickly.
Align with finance on liability recognition + accounting treatment.
Pair with plan-loyalty command to ensure blueprint is financially sound.

Install skill

Copy and run in your terminal

npx -y skills add https://github.com/gtmagents/gtm-agents --skill loyalty-modeling

View on GitHub

plugins/loyalty-lifecycle-orchestration/skills/loyalty-modeling/SKILL.md

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