Loyalty Program Management Checklist

Name the two or three outcomes the program is actually for — repeat-visit frequency, average transaction value, units per transaction, or share of identified sales. Tie each objective to a measurable target (e.g., lift ATV by 8% among enrolled members, push identified sales above 55%). Vague goals like 'increase loyalty' produce programs nobody can evaluate at quarter-end.

Pull a recency-frequency-monetary export from the POS or CRM (Klaviyo, Smile.io, Yotpo) covering the last 24 months. Identify VIPs (top 10% by spend), regulars, occasional buyers, and lapsed (>180 days). The reward thresholds in the next step should be calibrated against the regulars segment — that's where movement to VIP matters most.

Document points-per-dollar, redemption value, and tier breakpoints (e.g., Silver at $250, Gold at $750, Platinum at $1,500 trailing 12 months). Model the gross-margin impact at expected redemption rates of 20%, 40%, and 60% — under-modeling redemption is the most common reason loyalty programs go upside-down on margin.

Evaluate Smile.io, Yotpo, LoyaltyLion, Fivestars, or a POS-native module (Shopify POS, Lightspeed Retail, Square for Retail). Confirm the platform supports your tier structure, omnichannel earn/redeem, and writes back to the POS customer record. Build vs. buy: a custom build under a 50-store footprint is rarely worth the maintenance burden.

Verify points earn on a brick-and-mortar transaction, an online order, and a BOPIS pickup all post to the same member record within five minutes. Test refund and exchange paths — points should reverse on a return, not double-count on an exchange. Issues here are why omnichannel members complain that their in-store purchases 'didn't count'.

Open tickets with the loyalty platform and POS vendor for each failing test case. Block the launch step below until all P1 defects (points not posting, double-counting on refunds, tier miscalculation) are resolved.

Cover earn rates, point expiration, tier rules, forfeit-on-return, modification rights, and termination. State a clear expiration window (12 or 24 months of inactivity is common) — open-ended points become a growing balance-sheet liability.

Disclose the categories of data collected through enrollment (name, email, phone, purchase history) and any third-party sharing with the loyalty vendor or marketing partners. Provide opt-out and deletion paths required by CCPA; for EU-resident members, include the GDPR lawful basis and data-retention period.

Calendar the announcement across email (Klaviyo/Mailchimp), SMS, social, website banner, in-store signage, and receipt messaging. Stagger so in-store signage goes up the same day as the email send — mixed signals confuse both staff and customers.

Window cling, register-area talker, fitting-room cards, and a quick-reference card at the wrap stand. Include the enrollment QR code on every piece so cashiers can point to it during checkout.

Cover the cashier script for offering enrollment, the POS lookup flow, redemption mechanics, and how to handle disputes. Practice the awkward cases — missed enrollment on a prior visit, partial redemption, returns of redeemed items. Aim for ≥80% enrollment-offer rate within two weeks of launch.

Run the program in two pilot stores for one week before chain-wide rollout. Capture enrollment friction, cashier confusion, and any POS error logs. Hold a debrief with the pilot store managers before unlocking the full launch.

Three-email or two-email-plus-SMS series triggered on enrollment: welcome with points balance, how-to-earn explainer, and a first-purchase incentive timed to expire at day 14. Welcome-series open rates above 50% are the sign the audience matches the value proposition.

Plan VIP-only early access, double-points weekends, and a birthday reward. Avoid blasting all members with the same promo — segmentation is the reason enrolled members spend more than non-enrolled, not the points themselves.

Track enrollment rate, identified-sales share, member ATV vs. non-member ATV, redemption rate, tier-migration rate, and breakage. Export from the loyalty platform and POS into the BI tool (Looker, Power BI, or the platform's native dashboard).

Outstanding points × redemption value × expected redemption rate = the balance-sheet liability finance carries. Reconcile the platform's outstanding-points report with the GL accrual every month — drift here is the most common loyalty-program audit finding.