Calculator
Will a loyalty program pay for itself?
Most vendor calculators can only output good news. This one models the full cost side, shows its formulas, and tells you when the answer is "not yet".
Three sliders for your store, pick a mechanic, and the verdict with a monthly ledger appears below. The calculation assumptions sit behind a toggle and every one of them is adjustable.
Your store
Assumptions, adjust them if you know better
Your break-even
Members need to spend 5.2 % more for the program to pay for itself.
In money: members need to leave $747 more per month than they would without the program.
Achievable, but not automatic. You will need the program visible everywhere, not just a widget: account page, product pages, emails. Read the guide below before launching.
The monthly ledger
How to set the points up
The break-even above clears, so here is the same scenario translated into concrete program settings. Everything below follows from your order value and reward rate, no new assumptions.
| Reward | Points | Spend needed | ≈ purchases |
|---|---|---|---|
| $2.50 | 500 | $50 | 0.8 |
| $5 | 1,000 | $100 | 1.7 |
| $10 | 2,000 | $200 | 3.3 |
The first reward is reachable within one order on purpose: a program whose first reward sits three or more purchases away reads as unreachable and dies quietly. Welcome and activity points are a cost on top of the reward rate above, so keep them at half a purchase or less.
Want these numbers for your actual store?
Send us your store URL and we will come back within 48 hours with a program configured from your real data: mechanics, exchange rate, rewards, thresholds. Free on every plan, no call required.
What this calculator refuses to do
- No email wall. Results are on the page, and the URL carries your inputs so you can send it to a colleague.
- No top-quartile benchmarks dressed up as your forecast. Defaults are conservative and every assumption is an input you can change.
- The retention effect of memberships is not in the math, because we cannot cite an honest number for it. Vendors who put it in are guessing.
- Charm's own subscription is subtracted in the ledger. A calculator that hides the app fee is an ad.
Methodology
Every formula, printed. No hidden multipliers.
Points
Incremental profit = revenue × member share × lift × incrementality (65%) × margin. Reward cost = member revenue × reward rate × redemption rate. Net = incremental profit − reward cost − subscription. Break-even lift is the lift at which net is zero. The 65% incrementality haircut removes member spending that would have happened without the program; see Leenheer et al. (2007) for why raw member-vs-non-member comparisons overstate the effect several-fold.
Punch card
The free item costs you retail price × (1 − margin), i.e. cost of goods. Break-even extra purchases per completed card = reward cost ÷ (AOV × margin). Completed cards per month = orders × participation ÷ card length. Effective discount = (cost of free items + subscription) ÷ revenue on punched orders.
Reviews
Reviews per month = orders × completion rate. Credit spent in your store costs cost-of-goods, so real cost per review = credit × (1 − margin), an upper bound that ignores the extra visit the redemption itself drives.
Referrals
Cost per referred customer = referrer reward + friend reward, an upper bound since many referrer rewards go unredeemed. Compared directly against your stated acquisition cost.
Membership
Net per member = fee − benefit cost. Deliberately excludes any retention uplift: if the fee does not cover the benefits on its own, the program depends on an effect this page cannot honestly quantify.
Setup numbers (points mode)
The earning rate is fixed at 10 points per $1 (1 point per 1 Kč in the Czech version). Point value = reward rate ÷ points earned per currency unit. The three rewards target roughly 1, 2 and 4 purchases: value = target purchases × AOV × reward rate, rounded to a number you would actually print on a rewards page; the points cost and required spend follow from the point value. The welcome bonus is half a purchase worth of points, so the first reward sits within reach after one order. Welcome and activity points are issued on top of the reward rate, which is why the panel tells you to keep them small.
Sources and assumptions
- Leenheer, van Heerde, Bijmolt & Smidts, "Do loyalty programs really enhance behavioral loyalty?", International Journal of Research in Marketing 24(1), 2007 — positive effect on share of wallet, roughly seven times smaller than naive member-vs-non-member comparisons suggest
- Antavo, Global Customer Loyalty Report 2024 (platform data) — roughly half of earned points get redeemed on Antavo's platform; vendor data, so we treat it as an upper bound
- Reichheld & Sasser, "Zero Defections: Quality Comes to Services", Harvard Business Review, 1990 — the retention-to-profit link this whole category rests on: a 5% cut in defections raised profits 25 to 85%
- Vendor calculator assumptions, for contrast — Yotpo's calculator assumes 16 to 21% frequency uplift; LoyaltyLion's forecast is based on the top 25% of its own customers. We default below both, on purpose.
Why does this calculator sometimes say a loyalty program is not worth it?
Because sometimes it is not. If your order volume, margin or repeat traffic is too low, the rewards and the subscription cost more than the lift they can realistically produce. A calculator that cannot reach that conclusion is a lead form, not a calculator.
Where do the default numbers come from?
Every default is listed in the methodology section with its source. Where honest published data does not exist, the field is an input with a suggested conservative range instead of a hidden constant.
Do I have to enter my email to see results?
No. The results are computed in your browser and shown immediately. The URL updates with your inputs, so you can bookmark or share your scenario.
Which mechanic should I start with?
Usually one, not all five. Points suit stores where customers can buy again within weeks; punch cards suit frequent small purchases; referrals suit stores with high ad costs. The break-even verdicts above tell you which fits your numbers.