Marketing and sales
AI lead qualification from a landing page
One form submission on a Wix site triggers 4 processes at once: a manager alert, a spreadsheet row, Zoho CRM, and AI lead scoring with segmentation in Klaviyo.
- Client
- Scenario: online perfume store
- Format
- Practice case
- Stack
- n8n, Wix, Zoho CRM
- 4parallel processes from one submission
- 0manual transfers between services
- 3lead segments: hot, warm, cold

The problem
This is a practice case built around an online perfume store with a Wix landing page. The company collects leads through a form on its landing page. Each one has to reach a manager quickly, be stored, entered in the CRM, scored and sent into the right marketing flow.
Done by hand, that is 4 separate operations per lead: notify the manager, add a spreadsheet row, create the lead in Zoho CRM and add it to the right Klaviyo list. Managers can miss a lead, copying introduces errors and duplicates, and every lead gets the same treatment regardless of how ready the customer is to buy.
The solution
Automation built on Wix and n8n. When the form is submitted, Wix sends the data to an n8n webhook, the system normalises it and immediately starts 4 parallel branches:
- Telegram. The manager gets the customer’s name, phone, email and comment.
- Google Sheets. The lead goes into a log for search and analytics.
- Zoho CRM. The lead is created in the CRM for the sales team.
- AI qualification. The model reads the customer’s comment and returns
hot,warmorcoldas JSON. The system then creates a Klaviyo profile and adds it to the matching list.
| Status | Next step |
|---|---|
hot |
priority contact by a manager |
warm |
nurturing via email campaigns |
cold |
re-activation or removal from the list |
The branches do not wait for each other, so one slow service never holds up the rest.
The result
| Before | After | |
|---|---|---|
| Manual operations per lead | at least 4 | 0 |
| Automatic processes per submission | 0 | 4 |
| Lead segmentation | manual | automatic, 3 segments |
Conversion and time-saving figures are not listed here, since they require statistics from real use.
How the work went
How work on this project went, from understanding the problem to launch and improvements.
- 01
Discovery
Traced a lead from the form to the sale: 4 manual steps per lead, a risk of missing a request, and hot and cold customers handled the same way.
- 02
Solution design
Designed 4 parallel branches so a slow service never holds up the rest, and the hot, warm and cold criteria for AI scoring.
- 03
Build
Built the n8n workflow: Wix webhook, data normalisation, Telegram, Google Sheets, Zoho CRM and AI scoring with routing into Klaviyo lists.
- 04
Testing
Sent test leads with different comments and checked that each one reaches all 4 systems and the AI returns the right segment as JSON.
- 05
Launch
Connected the landing page form to the webhook, so every new lead is processed automatically. Recorded a video walkthrough of the system.
- 06
Optimisation
For a real store: after a few weeks, compare the AI segments with actual purchases and refine the scoring criteria.







