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claude-code

Claude-skill-registry-data loyalty-modeling

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

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry-data
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry-data "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/loyalty-modeling" ~/.claude/skills/majiayu000-claude-skill-registry-data-loyalty-modeling && rm -rf "$T"
manifest: data/loyalty-modeling/SKILL.md
source content

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.