Case Study Lead Automation

Lead Follow-Up &
Nurture Automation

Every new inquiry gets instantly scored, tagged, and followed up — with a personalized 3-email sequence and a Slack alert to your team. No manual triage. No leads going cold.

The Problem

Leads come in. Most go cold.

Most service businesses don't have a broken sales process — they have no process. A lead submits a contact form, maybe gets a generic "thanks for reaching out" email, and then waits. By day three, they've booked with someone else.

The team is busy. Nobody remembers to follow up. The CRM has untagged contacts from six months ago. There's no way to know who's a hot prospect and who's just browsing — so everyone gets the same low-effort treatment.

The result: a 22% lead-to-contact rate, a 9% close rate, and a growing list of deals that never went anywhere — simply because no one followed up fast enough or well enough.

22%
Lead Contact Rate
Before automation
4.2h
Avg. First Response
Industry average: 47 hours
What was happening with every new lead:
  • Generic auto-reply. No personalization.
  • No lead scoring. Hot and cold leads treated the same.
  • Team had no visibility. No Slack alert. No CRM tag. No urgency signal.
  • Follow-up emails? Sent manually, days late, if at all.
The Solution

Instant Scoring, Automatic Nurture — on Every Inquiry

How it works — every single inquiry

📋
Lead Submits
Contact form / CRM entry
Trigger
Make.com / Webhook
🤖
GPT-4o
Score, tag, write emails
📊
CRM Updated
HubSpot / Airtable
💬
Output 1
Slack Alert
Score + key signals sent to #new-leads
📧
Output 2
Email Sequence
3 personalized emails sent over 5 days
🏷️
Output 3
CRM Tags
Lead scored and tagged automatically
The Results

62% faster response. 3× more qualified follow-ups.

Within 60 days of deploying the automation across a real estate firm's website, average first-response time dropped from 4.2 hours to under 8 minutes — matching the lead the moment they submitted, every time.

The team stopped wasting calls on unqualified leads. Hot leads (scored 7+) were flagged immediately in Slack. Cold leads got the email sequence automatically — no staff time required.

Close rate improved from 9% to 24% in the first quarter. The system paid for itself in the first week.

<8m
First Response Time
Down from 4.2 hours
24%
Close Rate
Up from 9%
Qualified Follow-Ups
Without adding headcount
0h
Manual Triage Time
Fully automated

Under the Hood

🤖
GPT-4o — Scoring, Tagging & Copy
Reads the full inquiry context and returns a structured JSON object: lead score (1–10), CRM tags, Slack message, and 3 complete emails — in a single API call.
Make.com — Automation Backbone
Connects your CRM or contact form to the AI pipeline. Triggers on new submission, routes output to Slack, email provider, and CRM — no code required.
📊
HubSpot / Airtable — CRM Integration
Tags and scores are written back to your CRM automatically. Hot leads surface in the right view. Cold leads enter the email sequence and update when they engage.
💬
Slack — Real-Time Rep Alerts
Every hot lead posts to #new-leads with a score, key signals, and a recommended action. Reps know immediately who to call first — no inbox monitoring required.

Works For

🏛️
Law Firms
Every consultation request
🏠
Real Estate
Buyers, sellers, and investors
🔧
HVAC
New equipment & service calls
🦷
Dental
New patient acquisition
📣
Marketing Agencies
Project inquiries and retainer leads
Any business with a contact form can use this.

If leads come in through a website form, CRM, or even a phone inquiry log — this system can be connected and running in under a week.

See It In Action

The demo shows both sides: the lead filling out a form, and the business owner manually logging a phone inquiry. Both trigger the same AI scoring, tagging, and email generation — live, in real time.