E-commerce & DTC Brands · Scenario 32

Beauty & Skincare DTC

Customers run out and drift to a competitor before the brand even reminds them. We model when each customer will reorder and land the replenishment offer at exactly the right moment.

Method · Repeat-purchase modelling

The situation

A skincare brand’s profit is the second and third bottle, not the first — yet most send the same replenishment email to everyone on a fixed 30-day timer. Heavy users have already run out and re-bought elsewhere; light users get nagged too soon and unsubscribe. The reorder, the most profitable moment, is mistimed for almost everyone.

Nobody models each customer’s actual consumption pace, so retention leaks quietly and the subscription option is pitched at the wrong time to the wrong people.

2nd bottle
where the profit is
30-day timer
same for everyone
Mistimed
the reorder nudge
No model
of consumption pace

Where we dig for the truth

We model each customer’s time-to-next-purchase from their history and product, then trigger replenishment at the moment they actually run low.

Purchase & reorder historyProduct size & usage rateSubscription vs one-offEmail & offer responseChurn timingMargin per product
Share reordering, by week since purchaseA fixed timer misses a spread-out reorder curve015304560W2W4W6W8W10W12W14W16Actual reordersFixed 30-day nudge

Reorders spread across weeks 6–12, peaking near week 8 — not on a flat day-30 timer. Matching the nudge to each customer’s pace captures the ones drifting away.

Our approach — Repeat-Purchase & Replenishment-Timing Modeling

A repeat-purchase model estimates each customer’s expected time to their next order from their consumption pace and product size. Replenishment emails, offers and subscription prompts fire at that personal moment — not a one-size timer — catching customers just as they run low.

High-value, on-pace customers get a subscription pitch when it is most welcome; lapsing customers get a win-back before they are gone for good.

From a fixed timer to a personal one1Model the paceEstimate time to nextorder for eachcustomer.2Time the nudgeTrigger replenishmentexactly as they runlow.3Pitch the subscriptionOffer auto-replenish atthe most welcomemoment.4Catch the lapsingWin back customersbefore they switchbrands.
Repeat-purchase rate by timing strategyShare who reorder within the window0%12%24%36%48%22%Fixed 30-day19%Fixed 60-day41%Modelled timing

Personally-timed replenishment nearly doubles the reorder rate over a fixed timer — the same emails, sent when the customer is actually ready.

What changes

Same products and emails, timed to each customer. Representative for a DTC skincare brand.

Representative 90-day movementRepeat-purchase rate22%41%▲ +19 ptsSubscription take-up9%23%▲ +14 pts90-day retention38%59%▲ +21 ptsCustomer LTV$74$128▲ +73%
Where the LTV gain comes from+$54per-customer LTVBetter-timed reorders46%More subscriptions33%Win-back saves21%
Why this is not "social media management"
We didn't buy this brand more first-time customers at ever-rising cost. We modelled when its existing customers run out and met them there — the cheapest, most profitable growth a DTC brand has. Timing is a data problem.

Frequently asked questions

How do you increase repeat purchases for a skincare brand?
We model each customer's time-to-next-purchase from their consumption pace, then trigger replenishment emails, offers and subscription prompts at that personal moment — catching customers just as they run low instead of on a generic 30-day timer.
What is replenishment-timing modelling?
It is a customer-base analysis technique that predicts when a given customer will buy again from their past behaviour and product usage rate. It turns a one-size-fits-all email schedule into precisely-timed, far higher-converting outreach.
Isn't acquiring new customers the priority?
Acquisition costs have risen 40–60%; the cheapest growth is the second and third order you already nearly have. We capture it with timing. Book a marketing audit.

Want this run on your numbers?

Send your purchase history and we’ll model when your customers are about to reorder.