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The ROI math of a supplement store loyalty program

A worksheet, not a sales pitch: how to compute loyalty program ROI for a supplement store from repeat-purchase rate, average basket, and reorder cycles — plus which numbers actually move and which are vanity.

Loyalty vendors (including us) love saying “retention is cheaper than acquisition.” True, but useless without numbers. Here's the actual worksheet we use for our own stores. Plug in your figures; the point of this post is the method, not our conclusions.

The only three numbers that matter

Supplement retail has a structural advantage most retail doesn't: consumable products with predictable reorder cycles. A tub of protein lasts roughly a month; preworkout, five to seven weeks; daily vitamins, a month. That means your revenue is mostly a function of:

  1. Active customers — people who bought within their expected reorder window
  2. Average basket — what a visit is worth
  3. Purchases per customer per year — the reorder frequency you actually capture

A loyalty program only earns its fee by moving #1 and #3. Anything a vendor shows you that isn't traceable to those two numbers is decoration.

The worksheet

Say a store has 1,000 known customers, a $55 average basket, and captures 5 purchases per customer per year — $275,000 of tracked annual revenue. Now the two levers:

Lever 1: one extra purchase per year from a fraction of members

Suppose the program — points that make the next visit worth something, plus a well-timed reorder text — gets just 20% of those customers to make one additional purchase a year. That's 200 extra purchases × $55 = $11,000/yr. Against the platform fee ($200/mo = $2,400/yr), the program pays for itself more than four times over before you count anything else.

Lever 2: catching lapsing customers

Every store bleeds quietly. If 25% of your actives lapse in a year (miss two reorder cycles), that's 250 customers × $275/yr = ~$69,000 of at-risk revenue. You won't save it all. But a win-back text to someone 30 days after their last tub — while they still remember you — recovers a real slice. Even a 10% save rate is ~$6,900/yr. The mechanics of who to text and when are in our segmentation playbook.

What it costs — honestly

  • Software: whatever your platform charges. Ours is $200/mo with 5,000 texts included (what that covers).
  • Reward liability: the real hidden cost. If members earn a $10 reward per ~$200 spent, you're funding ~5% of tracked revenue in rewards. Set point costs against your margins deliberately — free shaker cups and mid-margin house products make better rewards than cash-equivalent discounts on top brands.
  • Counter time: near zero if check-in is a self-serve kiosk; real if staff type phone numbers at the register.

Vanity numbers to ignore

  • Total members. A list of 4,000 with 600 actives is a 600-member program.
  • Points issued. Cost, not revenue, until redeemed against a repeat visit.
  • Campaign “sends.” Sent ≠ delivered (see: carrier filtering), and delivered ≠ visited. Track redemptions and return visits, not sends.

The 90-day test

Don't evaluate a loyalty program on faith. Baseline your repeat-purchase rate for the trailing 90 days, run the program for 90 days with one win-back campaign and one reorder-cycle campaign, and compare. If tracked repeat purchases didn't move, change the program or the platform. That's the standard we hold our own product to — our stores run on it, and the dashboard leads with points-attributed revenue for exactly this reason.

A full-year example, all costs counted

Putting the levers and costs together for the same 1,000-customer store, using deliberately modest assumptions:

LineAnnual
Lever 1 — 20% of members make one extra purchase+$11,000
Lever 2 — 10% of lapsing revenue saved+$6,900
Software ($200/mo platform fee)−$2,400
Reward liability (~5% of tracked revenue, redeemed)−$8,000
Net≈ +$7,500

Notice what carries the result: the win-back lever is nearly pure profit (those texts cost cents), while the always-on earn rate is what funds the reward liability. Which leads to the mistakes that flip this math negative:

  • Rewards that discount your best sellers for your best customers. Your Gold-tier regular was buying that protein anyway; giving them 15% off it is margin donation. Anchor rewards on accessories and house brands where a $10 reward costs you $4.
  • Earn rates set by vibes. Decide the funded percentage first (3–5% of tracked revenue is a sane band), then derive points-per-dollar from it — not the other way around.
  • Counting breakage as savings. Points nobody redeems aren't profit; they're a sign nobody cares. A healthy program wants redemptions — each one is a return visit with a basket around it.
  • No baseline. If you didn't measure repeat-purchase rate before launch, every number afterward is a story. Take the baseline this week, before you change anything.

One final honesty check: attribute conservatively. A member who redeemed a reward on a visit they'd have made anyway isn't incremental revenue; a lapsed customer who returned within a week of the win-back text almost certainly is. When in doubt, count only the behavior that followed a program touch — if the program still clears its costs under stingy attribution, you know it's real, and you can defend the line item to yourself in a slow month.

Next step

See it running before you buy it.

Book a 20-minute demo — the portal, the kiosk, a real campaign send, and exactly what migrating your store would look like.

$200/mo platform · 5,000 texts included · no contracts