AI lead qualification – build a sellable system
Turn Day 5's lead qualifier into a professional, multi‑language, CRM‑integrated system you can offer to real estate agents, agencies, or any service business.
Week 1 foundation → Day 8 sellable system: You already built a lead qualifier on Day 5. Today we add CRM integration (HubSpot), multi‑language support, advanced scoring, and client‑ready documentation. This is a system you can charge $500–$2000 for.
💰 What makes a system sellable?
📌 From automation to product
A sellable automation is not just a script – it's a reliable, documented, adaptable system that solves a specific business pain. For lead qualification, clients pay for:
- ✅ 24/7 lead capture & qualification
- ✅ Instant, personalised responses
- ✅ CRM integration (no manual entry)
- ✅ Multi‑language (if they have international clients)
- ✅ Reporting & analytics (what's working?)
🏗️ System architecture – what we'll build
1. Trigger
Gmail / contact form / Facebook Lead Ads
2. Detect language
OpenAI detects language, responds accordingly
3. Advanced BANT+
Budget, Authority, Need, Timeline + Interest score
4. HubSpot CRM
Create/update contact, add lead score
5. Meeting scheduler
Hot leads get Calendly link
6. Client dashboard
Google Sheets report (optional)
⚙️ Build the sellable lead qualifier (Make.com)
We'll use Make (from Day3) + OpenAI API (Day4) + HubSpot (new).
Trigger: New lead from any source
Choose your client's source:
- Gmail (new email to hello@)
- Google Sheets (new row from Facebook Lead Ads)
- Webhook (from website contact form)
Detect language (multi‑language support)
Add an OpenAI call with this prompt (Day1 skill):
Store language – you'll use it to reply in same language.
Advanced BANT+ qualification
Second AI call (more sophisticated than Day5):
Day1 mastery: The prompt is precise, asks for JSON, and includes edge cases.
Calculate lead score & routing
Add variables to compute score (e.g., need *2 + timeline points).
Router:
- Hot (score ≥15): Create/update HubSpot, send Calendly link, Slack alert
- Warm (8-14): Create/update HubSpot, send nurturing email (AI‑generated)
- Cold (≤7): Create/update HubSpot, no reply (or add to newsletter list)
HubSpot CRM integration
Use HubSpot – Create/Update Contact module. Map:
- Email, first name, last name
- Custom properties: lead_score, bant_budget, bant_authority, bant_need, bant_timeline, language
- Lead status: hot/warm/cold
Generate personalised reply (in same language)
Third AI call (yes, three AI calls – but you can charge for it).
Send reply & schedule meeting
For hot leads: include a Calendly link (use Calendly – Create invitation or just add link).
Send email via Gmail or HubSpot email.
Client dashboard (Google Sheets)
Add a Google Sheets module to log every lead with all data (score, language, BANT, reply sent). This gives the client transparency.
📄 Sell it: client documentation template
When you sell this system, include a simple document. Here's a template:
🤖 AI Lead Qualification System – Client Guide
What it does: Automatically captures, qualifies, and responds to leads from your website/email 24/7.
Lead sources connected: [Gmail / Facebook Lead Ads / Contact form]
Qualification criteria (BANT+): Budget, Authority, Need (1-10), Timeline, Company size.
Lead scoring: Hot ≥15 → immediate meeting link; Warm 8-14 → nurturing email; Cold ≤7 → logged only.
Languages supported: English, Spanish, French, German (auto‑detected).
CRM: HubSpot – contacts created with lead score and BANT data.
Reporting: Google Sheet dashboard updated in real time.
Monthly cost (AI): ~$10 per 1,000 leads – billed to you or client.
Support: 1 hour training + 30 days bug fixes.
You can brand this and send as PDF.
How to price this system
💎 One‑time setup
$500 – $2,000 depending on complexity and number of lead sources. Includes 30 days support.
📆 Monthly retainer
$100 – $500/mo for maintenance, monitoring, tweaks, and reporting.
⚡ Per‑lead fee
$0.10 – $0.50 per lead – rare but possible for high‑volume clients.
ROI for client: If they close one extra deal per month (avg $2,000), they profit immensely.
⚠️ Pitfalls when delivering to clients
- Not testing with real client emails: Always use a test email address and draft mode first.
- No error handling: Add Make error routes – if API fails, send you an alert.
- Vague qualification: Work with the client to define "hot" – don't guess.
- Over‑automating replies: Some clients want to review replies. Add a "human approval" step if needed.
Practice to mastery
1. Add language detection
Modify your Day5 system to detect language and reply in same language (use simple prompt).
2. HubSpot test
Create a free HubSpot account. Build a test that creates a contact with custom properties.
3. Client document
Write a one‑page proposal for a real estate agent using this system.
📚 Resources for selling automation
Day 8: You built a sellable AI lead qualification system
✔ Multi‑language detection & reply
✔ Advanced BANT+ scoring
✔ HubSpot CRM integration
✔ Client‑ready documentation & pricing
✔ Ready to offer to real estate, agencies, consultants
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