UnderusedPost-purchase
Shipping & Delivery Updates
- Update customers at shipped, out for delivery and delivered
- Follow real courier events, not a guessed timeline
- Recommend the next product on the delivered message
Sends onRuns on
Cross-sell & Recommendations
Take a segment, work out what each person should buy next from what they already bought, and send it.
Your brand09:12to me
The pouch that goes with your Classic Tote
Picked from what you bought on 12 August
YOUR BRAND
Picked for Nour
The pouch that goes with your Classic Tote
You bought it three weeks ago. These are the two things people buy next, and the first one fits it exactly.
Fits your toteCanvas Zip Pouch450 EGPSteel Bottle, 750ml620 EGP
See bothFree delivery over 1,000 EGP. Cash on delivery available.
What it is
- A cross-sell flow emails a saved segment with a product recommendation chosen per person.
- The pick comes from purchase history and catalogue tags, not from a single product you decided to push.
- Email rather than WhatsApp, because merchandising needs room for several products and images.
- It sends at most two emails, and stops as soon as an order lands.
Who runs it
- Brands with a catalogue deep enough that the right next product is not obvious.
- Categories with natural pairings: fashion, beauty, refillables, anything with accessories.
- Brands with an existing customer base worth reading, rather than a list they have just started building.
- This is the newest flow in the library. No brand on Nonito has a production history with it yet.
How it works
- A saved segment starts the flow, typically people with one order and nothing since.
- For each person, the flow reads their purchase history and the catalogue tags to pick a next product.
- The email builder composes the campaign around that personalised block.
- Five days later, the flow checks for an order and stops if one arrived.
- If none did, a second email goes out with a pick from a different category.
Why it works
- What someone bought is the strongest signal you have about what they will buy next.
- A recommendation chosen per person reads as useful. The same product sent to everyone reads as a campaign.
- Email gives merchandising the room it needs, which a message cannot.
- Stopping on the first order means nobody is chased for something they have already bought.
The Next Sale Is Hidden In The Last One.
Complete the look for fashion. Stay top of mind for refillables. The information needed to work out what somebody should buy next is already sitting in what they bought last, and for most brands nothing is reading it.
The starting point
Start from a segment, not the whole list
Usually people with one order and nothing since. The flow runs on who they are, not on a date.
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What You Give, What You Get
What you give already exists in your store. What you get comes back automatically.
What you give
- Purchase history
- Email address
- Catalogue tags
- Stock levelsoptional
- Browsing behaviouroptional
What you get
- A per-customer recommendation
- A campaign built without a designer
- A second touch, only where needed
- Data on what pairs with what
What Makes It Work, And What Breaks It
The difference between recovering orders and annoying people is in these details.
Do this
Recommend from history, not from stock
What you need to move and what they should buy next are different questions. Only one of them converts.
Name what they already own
In the subject line. It is the difference between a recommendation and a newsletter.
Stop the moment they buy
A second email after an order reads as a system that is not paying attention.
Change category on the second email
If the first pick missed, more of the same will miss too.
Tag the catalogue first
A small well-tagged catalogue recommends better than a large messy one. This is the work before the flow.
Check stock before recommending
Sending someone to a sold-out product is worse than sending nothing.
What goes wrong
The same product to the whole segment
It is a campaign wearing a recommendation's clothes, and the open rate will tell you.
An untagged catalogue
The picks come out random, and random recommendations teach people to ignore the channel.
A segment that never refreshes
The same people get the same email repeatedly, which is how a list stops being one.
Recommending the thing they just bought
Exclude recent purchases explicitly. It is the most common and most damaging bug in this flow.
Treating it as a first flow
It needs purchase history to read. Run it after confirmation, cart and delivery are live.
How It Changes By Industry
Same flow, different timing and wording.
Fashion & ApparelComplete the look
Recommend what was bought together, not what is similar. Nobody needs a second version of the same jacket.
Beauty & FragranceRecommend on the cycleFor consumables the timing matters more than the pick. Send when the last one is running out.
Grocery & Q-commerceBasket gaps, not new categoriesWhat they usually buy and did not this time is a better recommendation than something new.
Optical & EyewearAccessories, then the next prescriptionCases and solutions in the short term. The frame replacement is a much longer cycle.
Home, Decor & GiftingRecommend for the next occasionNot more of the same item. Gift buyers return for a different person and a different date.
See how it is builtThe real builder canvas, with the setup direction on every node.
TriggersGet Audience
- Segment
- Bought once, no order since
Build the segment before the flow. It decides everything downstream.
RecommendationsProduct Recommendations
- Source
- Purchase history + tags
Exclude recent purchases, or you will recommend what they just bought.
MessagingEmail
- Built with
- AI email builder
Built around the personalised block, not around a template.
TimingWait
- Duration
- 5 days
Five days is long enough to act, short enough to still be relevant.
LogicSkip If
- Skip when
- Order already placed
Anyone who bought is dropped here.
MessagingEmail
- Content
- Second pick, new category
A different category, not more of the same.
100%
Before you start
- Purchase history synced into Nonito.
- A tagged catalogue, so products relate to each other.
- A saved segment to start from.
- A verified sending domain for email.
Every node carries its own setup direction. Drag the canvas to move around it, or open it full screen.
Questions About This Flow
Why email rather than WhatsApp?
Merchandising needs room: several products, images, a bit of story. WhatsApp carries the transactional 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. The tagging is the work.
What results should we expect?
We do not have production data for this flow yet. It is the newest in the library and no brand on Nonito has a meaningful history with it. Everything on this page is reasoning, not results.
Should this be one of our first flows?
No. It needs purchase history to read from. Run confirmation, abandoned cart and delivery updates first, then come back to this.
How do we stop it recommending something they just bought?
Exclude recent purchases in the recommendations node. It is the most common bug in this kind of flow and the most damaging.
How long does it take to go live?
Same day once the segment exists and your sending domain is verified. There is no template approval for email.
Run It Alongside
The flows that protect the order you just recovered.
Judge.me integratedPost-purchase
Post-Purchase Feedback
- Ask for a one-tap rating on WhatsApp after delivery
- Publish four and five star reviews through Judge.me
- Route low scores to a person, not a bot
See It Running On Your Own Store.
We will connect your store, switch this flow on, and show you what it recovers. Setup takes an afternoon, and you keep everything it builds.