Subscriptions vs Points: Use Reorder Variance to Decide

Subscriptions vs points should be decided by reorder variance, not category labels. Subscriptions work when customers already buy similar baskets on a predictable schedule. Points work when timing or product choice varies.

Use one screen: calculate each repeat customer’s days between orders, then compare the interquartile range with the median interval. If the interval spread is wide, a subscription will manufacture a schedule customers do not naturally follow. If timing and basket contents stay tight, automation can remove purchase friction.

Subscriptions vs Points Starts With Reorder Variance

Pull 12 months of first-party order data for customers with at least three purchases. For each customer, calculate the median days between orders and the interquartile range, or IQR. Then calculate reorder variance ratio = IQR ÷ median interval.

Use 0.5 as a screening threshold, not an industry benchmark. A customer with a 30-day median interval and a 12-day IQR has a ratio of 0.4. That timing is predictable enough to test a subscription. A 30-day median with a 30-day IQR produces 1.0; points are safer because the schedule varies as much as the central interval.

Basket consistency matters too. Measure the percentage of repeat orders containing the customer’s most frequently purchased product or category. Set a company-specific threshold before reviewing results; 70% can serve as an initial hypothesis when no prior subscription data exists. Validate it against skips, substitutions, and cancellations.

The classic failure: calling every replenishable product a subscription product. Pet food may repeat predictably; toys, treats, and accessories may not. Category fit hides customer-level variance.

This week, segment customers into four cells: predictable timing and basket, predictable timing only, predictable basket only, neither. Offer subscriptions only to the first cell. Use points or lifecycle messaging for the other three.

Fund the Offer From Unit Economics

Do not copy a 5% points rate or 10% subscriber discount from another brand. Calculate the maximum incentive your margin can support. Start with contribution per order = revenue − product cost − fulfillment − payment fees − variable service cost.

For points, calculate expected reward cost = qualifying spend × reward value rate × expected redemption rate. Use your own redemption history where available. Without history, model low, base, and high redemption scenarios rather than treating breakage as guaranteed profit.

For subscriptions, include the standing discount, free shipping, payment retries, substitutions, support contacts, and failed deliveries. A scheduled order can produce more revenue while destroying contribution if its discount and fulfillment burden exceed the incremental margin.

Set the offer backward from the required return. If contribution before incentives is $18 per order and the program must retain at least $12, the total variable program cost cannot exceed $6. That $6 is a ceiling, not a recommended discount.

The trap: funding incentives from gross margin while ignoring fulfillment and service. A product may show 60% gross margin yet contribute little after picking, shipping, payment, and support. Build the offer from contribution, not merchandise markup.

Test Across Full Purchase Cycles

A fixed 90-day test makes no sense when customers naturally reorder every 75 days. Run the experiment for at least three full median purchase cycles, with a minimum of 60 days to expose early skips and a longer window where cadence demands it.

Randomly assign eligible customers to test and holdout groups. If randomization is impossible, match customers on prior order count, contribution, acquisition channel, tenure, and reorder interval. Declare one primary metric before launch: incremental contribution per eligible customer.

Use this formula: incremental contribution = (test orders − expected control orders) × contribution per order − program cost. Calculate expected control orders from the holdout rate multiplied by the number of eligible test customers. Include all discounts, rewards, shipping subsidies, technology, and variable service costs.

Track diagnostic metrics without promoting them to success metrics:

• Subscription: activation, shipment two retention, skips, cancellations, failed payments, substitutions.
• Points: active earners, reward latency, redemption, expiry, dormant-member rate.
• Both: incremental orders, contribution per eligible customer, cannibalized purchases.

The classic failure: comparing subscribers with non-subscribers after launch. Customers who already buy frequently are more likely to subscribe. Their higher revenue proves selection, not impact.

Predeclare a stop rule. Pause the offer if incremental contribution remains negative after three purchase cycles or if early cohorts deteriorate between the first and third order. Continue only when the holdout gap covers every variable program cost.

Use Points When Customers Resist the Clock

Wide reorder variance does not mean loyalty mechanics cannot help. It means the brand should reward the next choice rather than impose the next date. Points suit customers whose timing changes but whose future purchase remains contestable.

Set reward value from the same contribution ceiling. Then check reward latency using actual purchase frequency: purchases to reward = reward threshold ÷ average points earned per purchase. If a typical eligible customer cannot see a credible reward within two or three expected purchase cycles, lower the threshold, change the action rewarded, or drop points.

A hybrid deserves consideration only after each mechanism proves one distinct job. Subscription handles the predictable core basket; points stimulate add-ons, referrals, or cross-category purchases. Combined incentive cost must remain below the contribution ceiling calculated earlier.

The duplicate-incentive failure: applying points to an already discounted scheduled order without measuring incremental behavior. The customer receives two subsidies for one purchase that may have happened anyway.

The decision is blunt: tight timing plus stable baskets earns a subscription test; meaningful variance favors points. Recalculate the segments quarterly because cadence changes with pricing, assortment, and customer tenure. For the control-group and contribution logic behind the test, use the retention math every founder should know.