Recommendations that learn
Smaily Campaign Intelligence writes personalised product recommendations into every campaign for stores that use Smaily — and learns from what each customer actually clicks and buys, so the picks improve with every send.
We’re onboarding pilot stores this autumn. Built for WooCommerce and Shopify.
Static rules go stale and generic blasts under-convert. Smaily Campaign Intelligence replaces guesswork with a feedback loop that knows each customer and gets better the more you send.
The engine watches what customers click and buy, then re-weights itself — so the picks get sharper with every campaign instead of going stale.
It learns each customer’s buying rhythm and surfaces replenishments at the moment they’re ready to reorder — not too early, not too late.
A WooCommerce or Shopify plugin connects your store; recommendations land straight in your Smaily contacts and templates. No new sending platform — you keep sending from Smaily.
Built-in sector knowledge and cold-start handling give new stores and brand-new customers sensible picks before the engine has seen a single order.
Replenishment timing, discount sensitivity, send-time and basket nudges are calibrated per person — not one rule applied to everyone.
Industry packs encode domain knowledge — a pet store’s reorder cycles aren’t a fashion store’s — so relevance starts high and climbs from there.
A built-in console shows which campaigns actually drive revenue, who is slipping away and who is ready for a first purchase — with ready-made Smaily segments one click away.
A randomised holdout keeps part of your audience on generic content, so the lift you see is revenue the engine actually created — not clicks it merely took credit for.
Per-customer signals — days until reorder, win-back state, ready-made cohort flags — land as fields your Smaily automations can fire on, so the right email goes out the moment it’s due. Richer trigger events are next on the roadmap.
How it works
Set it up once. After that the engine runs every night and keeps improving — your team just sends the campaigns it already sends.
Install the WooCommerce or Shopify plugin (or wire it through Make). Your catalog, orders and email activity start flowing in — no engineering project required.
It builds a per-customer picture — buying rhythm, segment, engagement — and combines it with sector knowledge to choose the right products for each person.
Each night it writes personalised product picks straight into your Smaily contacts, ready to drop into any campaign or automation through your normal templates.
Every open, click and purchase feeds back in. The engine re-weights what works for your store and your customers — and a randomised holdout proves the lift is real, not borrowed credit.
Why targeted beats generic
In a hand-crafted pilot, targeted product recommendations drove 2–8× the revenue of generic email blasts.
This engine is built to bring that mechanism — relevance that learns from real outcomes — within reach at scale. Your results depend on your catalog, customers and sends; the figure is an illustration of the mechanism, not a promise.
We’re onboarding a small group of pilot stores this autumn. Leave your email and a few details — we’ll get in touch about fitting Smaily Campaign Intelligence to your catalog and customers.