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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
Wix landing page

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:

  1. Telegram. The manager gets the customer’s name, phone, email and comment.
  2. Google Sheets. The lead goes into a log for search and analytics.
  3. Zoho CRM. The lead is created in the CRM for the sales team.
  4. AI qualification. The model reads the customer’s comment and returns hot, warm or cold as 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.

  1. 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.

  2. 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.

  3. 03

    Build

    Built the n8n workflow: Wix webhook, data normalisation, Telegram, Google Sheets, Zoho CRM and AI scoring with routing into Klaviyo lists.

  4. 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.

  5. 05

    Launch

    Connected the landing page form to the webhook, so every new lead is processed automatically. Recorded a video walkthrough of the system.

  6. 06

    Optimisation

    For a real store: after a few weeks, compare the AI segments with actual purchases and refine the scoring criteria.