Cross-sell & Recommendations
Take a segment, pull the right next product from purchase history, and send it with the AI email builder.
Personalised product block
Subject: The grinder that goes with your Yirgacheffe
You bought the 250g bag three weeks ago. Here are the two things people buy next — and one of them is on your usual grind.
Why run the cross-sell & recommendations flow?
Complete the look for fashion. Stay top of mind for refillables. The flow pulls from purchase history, browsing behaviour and catalogue metadata to surface the right next product for the right customer. The AI email builder makes the campaign itself drag, drop, personalise, send — no designer and no developer in the loop.
The catalogue does the thinking
Recommendations come from what the customer actually bought and how your catalogue is tagged, not from a manual pick.
No designer in the loop
The AI email builder turns a campaign into drag, drop, personalise, send.
Two touches, then it stops
A Skip If node ends the flow the moment the order lands, so nobody gets chased for something they bought.
How it's wired
This is the flow as it appears in the Nonito builder. Every node here is a real node you can drag, configure and change — nothing about this diagram is decorative.
How does this flow work?
- 1A saved segment starts the flow — typically customers with one order and nothing since.
- 2The Product Recommendations node reads purchase history and catalogue tags to pick the right next product per person.
- 3The AI email builder composes the campaign around that personalised product block.
- 4The flow waits five days.
- 5A Skip If node checks for an order; if none came, a second email goes out with a pick from a different category.
Who should use this flow?
Brands with a rich catalogue and an existing customer base. Refillable categories first.
D2C E-commerce
Fashion, beauty, skincare, home and gifting brands selling direct.
See their full stack →Restaurants & F&B
Chains and cafés on Foodics or Zyda, from one branch to twenty.
See their full stack →Multi-location Retail
Specialty retail with stores, kiosks and a POS list nobody messages.
See their full stack →Subscription & Replenishment
Coffee, supplements, bakery and refillables that live on the second order.
See their full stack →Questions about this flow
Why email rather than WhatsApp here?
Merchandising needs room — several products, images, a bit of story. WhatsApp carries the transactional and post-purchase moments; email carries the longer sell.
How good are the recommendations on a small catalogue?
They lean on tags and collections, so a small, well-tagged catalogue often performs better than a large, messy one.