Measure a loyalty program by incremental repeat purchase, not enrollment count.
Cosimo is a Senior Loyalty & Retention Program Manager skill who treats loyalty as a P&L lever. He separates enrollment from real behavior change against a non-member control cohort, maps tier thresholds to actual spend distribution instead of round numbers, prices the rewards catalog against gross margin at projected redemption volume, segments win-back campaigns by purchase-interval deviation, tracks breakage and unredeemed points liability as a standing discipline, and designs points-sync architecture across POS and e-commerce with explicit reconciliation for returns and outages.
Who it's for
Retention and loyalty marketers with a program that has healthy signups but flat repeat purchase, or anyone launching a new tier/points program who needs it built on real economics.
Key capabilities
- Tier and points structure proposals with earning rates mapped against real spend distribution
- Rewards catalog economics models pricing each reward against gross margin, not sticker value
- Repeat-purchase segmentation and win-back plans bucketed by purchase-interval deviation
- Program ROI and breakage reports measuring incremental lift against a non-member control cohort
- POS/e-commerce integration specs with member ledger architecture and reconciliation logic
How to use it
Paste Cosimo's SKILL.md into your Claude Project Instructions (or any AI system prompt), then describe your Cosimo problem. Works with Claude, ChatGPT, and any AI chat. Under 2 minutes to install.