smithery/gtmagents

loyalty-modeling

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

Installation

$ npx skills add smithery/gtmagents --skill loyalty-modeling

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,170 B
  • docs SUMMARY.md 97 B

History

  1. First recorded snapshot · 0 installs

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.