After delivery, ask for a rating on WhatsApp — publish the good ones to your storefront and route the bad ones to a human.
Rating request, two days after delivery
Hi Adam — how was the order? Tap a number, it takes a second.
5
That means a lot. Here is 10% off your next order — NICE10, good for two weeks.
The window just after delivery is the highest-trust moment in the relationship. The flow asks for a rating, captures what the customer actually wrote, and publishes the review back to your storefront through the Judge.me integration. A small, time-limited thank-you offer turns the request itself into a repurchase trigger.
The rating is one tap on a channel they already have open, and the good ones land on your product pages by themselves.
A low score never gets published. It gets routed to someone who can fix it, with the order attached.
The thank-you offer turns a feedback request into the start of the next order.
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.
Brands that live on social proof, and restaurants collecting service feedback.
Fashion, beauty, skincare, home and gifting brands selling direct.
See their full stack →Chains and cafés on Foodics or Zyda, from one branch to twenty.
See their full stack →Specialty retail with stores, kiosks and a POS list nobody messages.
See their full stack →No. Only the four and five ratings run through the Judge Me node. Everything below that is routed to a person to resolve first.
Only for publishing back to the storefront. Without it the flow still collects and stores the rating and the written feedback.