# Loyalty Modeling

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

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

- Page: https://ss33.ai/skills/gtmagents/loyalty-modeling-76352340331
- Publisher: gtmagents
- Category: [Finance & Markets](https://ss33.ai/skills/category/finance-and-markets-gri5ar) › [Business & freelance finances](https://ss33.ai/skills/category/finance-and-markets-gri5ar/business-and-freelance-finances-l8tv99)
- License: Apache-2.0
- Source: https://github.com/gtmagents/gtm-agents/blob/78e0419f4440bcb43bc80127e174ecf5adef1753/plugins/loyalty-lifecycle-orchestration/skills/loyalty-modeling/SKILL.md

## Skill

SKILL.md: https://ss33.ai/api/v1/ss33/download/gtmagents/loyalty-modeling-76352340331

# 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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