About loyalty-modeling
loyalty-modeling is a skill for modeling loyalty-program economics, from points earning and redemption to liability and business impact. It is intended for teams designing tiers, evaluating investment cases, and comparing program scenarios.
Key features
- 01Models points accrual and bonus events
- 02Estimates redemption costs and liability
- 03Projects retention, cross-sell, referral, and ARPU impact
- 04Compares base, optimized, and aggressive scenarios
- 05Includes input, sensitivity, and executive-summary templates
Use cases
- 01Design or revise loyalty tiers and benefits
- 02Build a business case for loyalty investment
- 03Stress-test point liability, breakage, and ROI
Install
Copy the command and run it in a terminal.
$
npx skills add https:/After installing, type/loyalty-modelingin Claude Code to confirm it loaded.
Details
From the project READMELoyalty 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-loyaltycommand to ensure blueprint is financially sound.
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