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Make.com Lead Capture to CRM: AI Lead Scoring to GoHighLevel + Slack

ghl Mastery

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Make.com Lead Capture to CRM: AI Lead Scoring to GoHighLevel + Slack

12 просмотров · 8 дн. назад
ghl Mastery
10 подписчиков
12 просмотров · 8 дн. назад
Not every lead is hot. Let AI sort them. In this Make.com tutorial we build a lead capture scenario with AI lead scoring. Your website form sends each lead to a Make webhook. OpenAI cleans up the name, email and phone, writes a one-line summary, and scores buying intent from 1 to 10 as JSON. A Router then splits the leads: hot leads (score 7 or higher) go straight into HighLevel (GoHighLevel) as a contact, with a Slack alert to the owner. Everyone else goes to a Google Sheet nurture list, so nobody gets lost. What you'll learn: How to set up a Make custom webhook with a data structure (name, email, phone, message, source) How to write an OpenAI prompt that cleans lead data and returns a 1-10 intent score as strict JSON How to use Parse JSON so every field (score, email, summary, reason) is mappable How to set up a Router with a "Hot lead" filter (score 7+) and an "Everyone else" filter (under 7, or no score) How to map a HighLevel Create a Contact module, a Slack alert and a Google Sheets nurture row How to test it safely in your own account, and what it costs in Make credits per lead Steps: 1. Scenarios → Create a new scenario, named "DEMO - Lead Capture to CRM with AI Lead Scoring" 2. Webhooks → Custom webhook with a "Website lead" data structure 3. OpenAI → Simple text prompt (GPT-5 nano): clean the data, score intent 1-10, return JSON 4. JSON → Parse JSON with a "Lead score" data structure 5. Webhooks → Webhook response (200, received: true), optional 6. Router: Route 1 filter "Hot lead" = score greater than or equal to 7 7. GoHighLevel → Create a Contact (first name, last name, email, phone, source, hot lead tag) 8. Slack → Send a Message to the owner with the score, contact details, summary and reason 9. Route 2 filter "Everyone else" = score less than 7 OR score does not exist 10. Google Sheets → Add a Row to a "Lead nurture list" sheet 11. Add notes, save, leave scheduling OFF. Then connect your apps, Run once with your own test submission, check the bundles, and switch scheduling on Cost: about 6 credits per hot lead and about 5 per nurture lead (the router and filters are free), plus a little extra for Make's built-in AI. Make's free plan includes 1,000 credits a month. Built as an inactive demo in my own Make account. No apps were connected and the scenario was never run, so no contacts were created and nothing was sent. Want a one-on-one on your business processes and growth with AI? DM me. 0:00 Intro 1:01 Create the scenario 1:20 Custom webhook + data structure 2:21 AI prompt: clean + score 1-10 4:26 Parse JSON 4:58 Webhook response 5:17 Router 5:36 Filter: Hot lead (score 7+) 6:01 HighLevel: create contact + mapping 6:52 Slack alert to the owner 7:26 Everyone else: Google Sheet 8:12 Notes + save (scheduling OFF) 8:45 How to test & turn it on 9:37 Cost per lead (credits) 10:12 Recap