Abandoned Cart Recovery
- Remind shoppers by name, with their cart, on WhatsApp
- Send a discount only to those who do not come back
- Stops itself the moment the order lands
Capture the number on a sold-out variant, then text exactly those people the minute it is back.
1 MENA brands run this flow on Nonito. Since October 2025 it has reached 1,212 customers, driven 168 orders and attributed 169K EGP in revenue.
Per-brand conversion has ranged from 13% to 13%.
This is early data from a small number of accounts. Treat it as a signal, not a benchmark.
Real results from brands on Nonito. Yours depend on your product and pricing, so read this as a range, not a forecast. Figures in EGP.
A sold-out page is a leak. Someone arrived wanting to buy, found nothing, and left with no way for you to reach them. A small notify-me field turns that dead end into a list of people who have already told you what they want and in which size.
They reach the page, the size is gone, and a notify-me field asks for a number.
What you give already exists in your store. What you get comes back automatically.
The difference between recovering orders and annoying people is in these details.
Someone waiting for a medium does not care that small is back. This is the whole flow.
The value decays by the hour. A restock alert the next morning is competing with whatever they bought instead.
Do not tell a hundred people about three units. Choose a minimum before the alert is allowed to fire.
They should land on the thing they can add to a basket, already in the right size.
Someone who asked four months ago has bought elsewhere. Ninety days is a reasonable ceiling.
A second nudge on a low-stock item is fair. A third is a campaign they did not sign up for.
The fastest way to turn the highest-intent list you own into a list that ignores you.
Ninety-seven people click through to a sold-out page. You have now disappointed them twice.
Holding alerts for a daily digest throws away the only advantage this flow has.
People notice, and this flow only works because they believe you.
An alert for something requested last season reads as a random advert, because that is what it is.
Same flow, different timing and wording.
Alert on size and colour together. Either one alone will send the wrong message to most of the list.
Beauty & FragranceShade is the variantAnd shades sell out unevenly, so a product-level alert is wrong nearly every time.
Optical & EyewearFrames restock, lenses are madeOnly run this on frames and ready-made lenses. Prescription work is not a stock problem.
Grocery & Q-commerceSame day or not at allRestock demand in grocery expires within hours. If you cannot send immediately, skip the flow.
Scope this to hero products, not the whole catalogue.
Variant level. This is the decision that makes or breaks the flow.
Do not alert a hundred people about three units.
One line, direct variant link.
A day, then one reminder at most.
Nobody who already bought should get the reminder.
Only send this if the stock really is low.
Every node carries its own setup direction. Drag the canvas to move around it, or open it full screen.
It is a one-line message with a link, and it has to go the minute stock lands. SMS needs no template approval standing between the restock and the send.
Set a stock floor so the alert does not fire. Telling a hundred people about three units disappoints ninety-seven of them.
The size, and the colour. Product-level alerts are the main reason this flow underperforms elsewhere.
One brand runs this today and 13% of the customers it reached went on to order. That is one account, so treat it as a signal rather than a benchmark.
Ninety days is a sensible ceiling. Beyond that, most people have bought elsewhere and the alert reads as a random advert.
Same day, once the notify-me field is on your storefront and inventory is syncing. There is no template approval to wait on.
The flows that protect the order you just recovered.
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.