For Shopify Stores
Your customers, reordering
on autopilot
The Resubscription Engine turns one-time Shopify buyers into repeat revenue. It learns each customer's buying rhythm, pings them by email or SMS right before they run out — with a one-tap reorder link — and runs winback sequences for the ones who've gone quiet. No subscription app required; your customers just keep coming back.
The problem, flipped
Sound familiar?
Customers love the product, run out, and simply forget to reorder — revenue you earned once and never again.
The engine pings each customer right before they run out, with their exact products one tap from checkout.
Your email tool blasts everyone the same campaign on the same day.
Timing is per customer, learned from their actual order history — day 27 for the monthly buyer, day 55 for the slow one.
Lapsed customers pile up in a segment nobody works.
Winback ladders re-engage them automatically, with offers you approve as the last resort, not the opener.
From kickoff to running
How it works
01Connect your store
Shopify plus your email and SMS channels — Klaviyo, Postscript, or straight through the engine. API-level integration; nothing on your theme changes.
02Learn every customer's rhythm
The engine reads order history per customer and per product: a 30-day supply bought every 34 days means the nudge lands on day 30 — not whenever the campaign calendar says.
03Ping at the right moment
Personalized email or SMS with the customer's own products and a one-tap reorder link. Recent purchasers are suppressed automatically; nobody gets nudged about something they just bought.
04Win back the lapsed
Customers who miss two cycles enter a winback ladder — reminder, social proof, then an offer you approved. Recovered revenue shows up in a dashboard you can check any Monday.
In the wild
Where it pays off
Supplements and wellness: a 30-day bottle is the perfect reorder product — the ping lands three days before empty.
Coffee, pet food, and groceries: consumable cadences the engine learns per household, not per campaign.
Beauty and skincare: replenishment plus cross-sell — the serum reminder can introduce the moisturizer that pairs with it.
What teams typically see
Typical results
Ranges reflect how replenishment-timed reminders typically outperform calendar campaigns across consumable Shopify brands; your product cadence and margins set the actual number. The free AI audit sizes your repeat-purchase opportunity first.
Case study: +34% repeat orders for a dtc supplements clientFAQ
Common questions
From their own history: the engine models each customer-product pair — how much they buy and how often — and schedules the nudge just before the predicted run-out. First-time buyers start from your product's typical consumption window, then the model tightens with every order.
A flow fires a fixed delay after purchase — 30 days for everyone. The engine times each ping per customer, builds the one-tap reorder cart, escalates lapsed customers through winback, and suppresses anyone who already reordered. Klaviyo can be the sending channel; the intelligence sits above it.
Frequency caps, automatic suppression after any purchase, and instant honoring of unsubscribes are built in. A well-timed 'you're about to run out' reads as service, not spam — that's why replenishment messages outperform promotional blasts.
No — that's the point. It creates subscription-like repeat behavior without asking anyone to commit. If you do run subscriptions, the engine also nudges your best repeat buyers toward subscribing at the moment it makes sense for them.
They enter a winback ladder: a reminder built around what they used to buy, then social proof, then — only if needed — an offer you approved. Discounts are the last step, not the default, so recovered orders mostly come back at full margin.
Typically 2 weeks: store connection and cadence modeling in week one, message approval in week two — then the first pings go to customers already near their predicted run-out date.
See what this agent would do in your business
Start with a free AI audit: we map your workflows and show you exactly where this agent — and any other — pays for itself.
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