/loyalty-modeling
Use to model economics, tiers, and impact forecasts for loyalty programs.
$ npx -y skills add gtmagents/gtm-agents --skill loyalty-modeling --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/loyalty-modeling
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use to model economics, tiers, and impact forecasts for loyalty programs.
SKILL.md
loyalty-modeling.SKILL.mdname: loyalty-modeling description: Use to model economics, tiers, and impact forecasts for loyalty programs.
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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Free AI automation for sales, marketing, and growth teams. No coding required.
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