Subscription growth Emerging use case

Your next subscribers are already buying from you. You just don't know which ones.

Keeper analyzes how customers replenish products, how consistently they return, what they buy together, and what motivates their purchases. Find out who is a strong subscription candidate, what to offer, and when they're ready.

Find my subscription opportunitiesTalk to the Keeper team
Free intelligenceStart with a focused pilotYour team runs every pilot
Subscription intelligenceDemo
  • Customer 1Same consumable, steady reorders
    Fit: StrongNow: ReadyInvite to single-product pilot
  • Customer 2Same consumable, ordered last week
    Fit: StrongNow: EarlyToo early. Reassess later
  • Customer 3Different products, irregular timing
    Fit: LowNot assessedNo action recommended

Repeat buying alone doesn't decide it.

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The problem

Not every repeat customer should become a subscriber.

Two customers may have placed the same number of orders but have completely different replenishment needs.

One regularly reorders the same product. Another buys different products at unpredictable intervals. A third buys only during a particular season. Treating all three as subscription prospects misses what their purchasing behavior actually tells you.

Customer A

Consistent replenisher

4 orders
  • Regularly repurchases a consumable product
  • Relatively stable purchase intervals
  • Repeated need supported by historical behavior
Keeper decisionStrong subscription candidate.
Customer B

Seasonal repeat buyer

4 orders
  • Purchases repeatedly
  • Demand concentrates around specific seasons
  • No evidence of consistent year-round replenishment
Keeper decisionConsider a seasonal offer, not a standard recurring subscription.
Customer C

Irregular repeat buyer

4 orders
  • Repeat purchases vary in timing
  • Product choices change
  • Insufficient evidence of a predictable replenishment need
Keeper decisionNo subscription action recommended.

Repeat purchases reveal behavior. Keeper determines whether that behavior supports a subscription.

Subscription opportunities

Find the customers with a recurring need worth serving.

Keeper evaluates customers across product replenishment, purchase cadence, personas, seasonality, discount sensitivity, and current lifecycle state to identify subscription opportunities supported by historical evidence.

October subscription opportunitiesDemo data
Historical pattern
Customers repeatedly purchase the same replenishable products with relatively consistent intervals.
Customer characteristics
Convenience-oriented, full-price repeat buyers
Keeper assessment
Strong candidate group for a single-product subscription pilot.
  1. 1,420strong-fit candidates
  2. 740Ready + Approaching
  3. 160excluded
  4. 580eligible for invitation
By current state
  • Ready310Eligible for invitation assessment
  • Approaching430Eligible for invitation assessment
  • Early520Wait and reassess
  • At risk / lapsed160Evaluate separately
Exclusions from the 740
  • Already subscribed90
  • Lacks marketing eligibility or consent45
  • Other exclusion conditions25

Early and At risk / lapsed customers are not in this month's pilot. They are reassessed later or evaluated separately, not ruled out. October snapshot, conceptual demonstration data.

Conceptual demonstration data, not verified merchant results. No confidence scores, forecasts or conversion rates are implied.

Subscription intelligence

A subscription should fit the customer, not just the product.

Keeper combines multiple dimensions of customer behavior to understand whether a recurring offer makes sense and how it should be structured.

Product replenishment

Whether products are consumable, regularly replaced, or purchased for other reasons.

Purchase cadence

How consistently customers return and how much history supports their observed intervals.

Personas

How different customer groups purchase, replenish, and respond to offers.

Discount sensitivity

Whether a customer is motivated by price, convenience, product access, or other observable purchasing patterns.

Seasonality

Whether demand is consistent or concentrated during specific times of year.

Product combinations

Which products are repeatedly purchased together and may support a recurring bundle.

Lifecycle and current state

Whether customers are early, approaching, ready, at risk, or lapsed relative to relevant purchase patterns.

Customer economics

Order value, repeat purchasing, incentive costs, and available product economics.

  1. 01Subscription fit
  2. 02Product and cadence
  3. 03Offer strategy
  4. 04Invitation timing

Purchase history informs these decisions. It does not prove a customer's motivations or willingness to subscribe.

From behavior to subscription strategy

Not everyone needs the same subscription.

Customer group

Consistent replenisher

Repeated purchases of the same consumable at relatively stable intervals.

Fictional skincare customer · conceptual example
  1. Order 1 · June 3Daily Face SerumFirst purchase
  2. 32 daysOrder 2 · July 5Daily Face Serum
  3. 32 daysOrder 3 · August 6Daily Face Serum
  4. 34 daysOrder 4 · September 9Daily Face Serum
Keeper's observed finding

This customer has reordered the same product three times at intervals of 32–34 days.

Cadence comes from observed purchase intervals, not proven product depletion.
Proposed subscription configuration
Product
Daily Face Serum
Suggested cadence
Approximately every 33 days, subject to the subscription platform's supported intervals
Offer strategy
Convenience and flexibility, without an automatic discount
Invitation timing
Near the customer's next expected replenishment window
Customer state
Determined from the snapshot date and purchase history
Decision
Invite when ready, otherwise wait
Action preview

Conceptual demonstration, not real merchant data. Proposed strategies for validation. No live offer exists and customer willingness to subscribe is not confirmed.

Fit is not readiness

The right customer. The wrong moment.

A customer can be an excellent subscription candidate but have no reason to subscribe today.

Keeper considers both the customer's long-term replenishment behavior and their current purchase state before recommending an invitation.

Historical behaviorCustomer has a stable replenishment pattern but recently purchased.

Subscription fit

Does this customer have a recurring need that supports a subscription?

StrongUnchanged in both scenarios
Current readiness

Does the customer's current state justify an invitation now?

Early
Last orderTheir usual reorder window
Keeper decisionNo invitation needed right now.

Reassess as the customer approaches their expected replenishment window.

No action yet

Readiness follows each customer's own observed pattern, not a fixed 30-day rule. No predictive accuracy is implied.

Why these customers?

From opportunity to pilot

A subscription strategy built around your customers.

Keeper helps define which customers to test, which products to offer, how often to replenish, and when to invite them.

Your team reviews the proposed strategy and runs the pilot through its existing tools.

PreparingConsistent Replenishers · 1,420Draft only
580customers eligible for this month's invitation pilot
Subscription-fit population
1,420
Current invitation audience
580
  1. 1,420strong-fit candidates
  2. 740Ready + Approaching
  3. 160excluded
  4. 580eligible for invitation
By current state
  • Ready310Eligible for invitation assessment
  • Approaching430Eligible for invitation assessment
  • Early520Wait and reassess
  • At risk / lapsed160Evaluate separately
Exclusions from the 740
  • Already subscribed90
  • Lacks marketing eligibility or consent45
  • Other exclusion conditions25

Early and At risk / lapsed customers are not in this month's pilot. They are reassessed later or evaluated separately, not ruled out. October snapshot, conceptual demonstration data.

Measure the pilot

A subscription is only valuable if customers want it and the economics work.

Test a focused customer group before expanding the program. Evaluate adoption, customer experience, repeat purchasing, and commercial performance.

Customer response

  • Invitation reachAwaiting pilot
  • Subscription uptakeAwaiting pilot
  • Offer acceptanceAwaiting pilot

Subscription behavior

  • Successful recurring ordersAwaiting measurement
  • Skip and pause behaviorAwaiting measurement
  • Cancellation rateAwaiting measurement
  • Retention over timeAwaiting cohort maturity

Commercial economics

  • Revenue per participating customerAwaiting measurement
  • Discount and incentive costsAwaiting measurement
  • Contribution margin, where data is availableAwaiting measurement
  • Fulfillment considerationsAwaiting pilot

Customer outcomes

  • Repeat purchasingAwaiting cohort maturity
  • Customer value over a consistent observation windowAwaiting cohort maturity
  • Comparison with a non-subscriber or holdout group, where feasibleAwaiting cohort maturity

No pilot results are shown. Differences should only be attributed to Keeper with appropriate testing.

Month after month

The opportunity remains. The customers change.

As customers purchase, replenish, change products, or move through their lifecycle, Keeper can reassess who fits a subscription opportunity and who is ready for an invitation.

This month

October

  • Identify candidate customers
  • Select a pilot group
  • Prepare the invitation strategy
  • Begin collecting outcomes
Next month

November

  • Reassess candidate eligibility
  • Identify newly ready customers
  • Review pilot response
  • Refine the proposed product, cadence, and offer

The eligible audience changes month to month. A monthly refresh does not by itself set the right cadence for every product.

Find your next subscribers

Find the subscription opportunities hiding in your customer base.

Connect Shopify to explore which customers have recurring needs, what products they replenish, and which subscription opportunities may be worth testing.

Explore the intelligence for free. Start with a focused pilot when you're ready.

Find my subscription opportunitiesTalk to the Keeper team