loyalty-modeling

v2026.09.25

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

GitHub
Install command
npx skhub add gtmagents/loyalty-modeling
Markdown
SKILL.md

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

  1. Inputs – member base, transaction frequency, average order value, churn, CAC.
  2. Earning Model – simulate points accrual, mission completion, and bonus events.
  3. Redemption Model – estimate burn rates, cost per reward, and liability curves.
  4. Impact Drivers – model uplift in retention, cross-sell, referral, or ARPU.
  5. 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.

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Version
Latest version metadata

Version

v2026.09.25

Published

Sep 25, 2026

Category

Uncategorized

License

Apache-2.0

Source path

plugins/loyalty-lifecycle-orchestration/skills/loyalty-modeling

Default branch

main

Latest commit

78e0419

Tree SHA

9016d99