Setup Time: 15 minutes | Monthly Savings: 35+ hours |
This Zapier workflow automatically scores leads from LinkedIn connections and website behavior, then routes hot prospects to sales with personalised alerts.
Zapier Workflow Setup (Copy-Paste Ready)
TRIGGER 1: LinkedIn Connection/Message
App: LinkedIn Lead Gen Forms OR Webhooks
Event: New connection accepted OR new message received
Required fields: name, email, company, job_title, message
ACTION 1: Enrich Lead Data
App: Clearbit (or Apollo.io)
Input: {{email}}
Output fields to map:
- company_size → {{company_employee_count}}
- industry → {{company_industry}}
- annual_revenue → {{company_revenue}}
- technology_stack → {{company_tech}}
ACTION 2: Check Website Activity
App: Google Analytics (Reporting API)
Filter: User email = {{email}}
Metrics: sessions, pageviews, avg_session_duration
Date range: Last 30 days
Output: {{website_sessions}}, {{pages_viewed}}, {{time_on_site}}
ACTION 3: Calculate Lead Score
App: Formatter by Zapier
Type: Spreadsheet-Style Formula
Formula:
=IF(SEARCH("director",LOWER({{job_title}})),30,IF(SEARCH("manager",LOWER({{job_title}})),20,10))
+IF({{company_employee_count}}>100,25,IF({{company_employee_count}}>20,15,5))
+IF({{website_sessions}}>3,25,IF({{website_sessions}}>1,15,0))
+IF({{pages_viewed}}>10,15,IF({{pages_viewed}}>5,10,0))
Output: {{lead_score}}
ACTION 4: Route High-Score Leads
App: Filter by Zapier
Condition: {{lead_score}} >= 60
Continue only if: TRUE
ACTION 5A: Slack Hot Lead Alert
App: Slack
Channel: #sales-hot-leads
Message:
🔥 HOT LEAD ALERT (Score: {{lead_score}}/100)
👤 CONTACT:
{{name}} - {{job_title}}
{{company}} ({{company_employee_count}} employees)
{{email}}
📊 ACTIVITY:
Website visits: {{website_sessions}} sessions
Pages viewed: {{pages_viewed}}
Industry: {{company_industry}}
⏰ ACTION: Contact within 2 hours while intent is hot!
ACTION 5B: Email Sales Rep
App: Gmail
To: [email protected]
Subject: Urgent: Hot Lead - {{name}} from {{company}}
Body:
High-priority lead alert:
Name: {{name}}
Title: {{job_title}}
Company: {{company}} ({{company_employee_count}} employees)
Score: {{lead_score}}/100
Website Activity: {{website_sessions}} sessions, {{pages_viewed}} pages
Recommended approach:
- Lead with industry-specific case study
- Mention relevant pain points for {{job_title}} role
- Reference their recent website activity
Contact ASAP while intent is hot.
ACTION 6: Update CRM
App: HubSpot (or Pipedrive)
Contact: {{email}}
Properties:
- Lead Score: {{lead_score}}
- Lead Source: LinkedIn
- Last Website Activity: {{time_on_site}}
- Company Size: {{company_employee_count}}
- Priority: Hot Lead
Alternative: Simple Python Script
# LinkedIn + Website Lead Scorer
import requests
import json
def score_linkedin_lead(lead_data):
score = 0
# Job title scoring
title = lead_data.get('job_title', '').lower()
if any(word in title for word in ['director', 'vp', 'head', 'chief']):
score += 30
elif any(word in title for word in ['manager', 'lead', 'senior']):
score += 20
else:
score += 10
# Company size scoring
employees = lead_data.get('company_size', 0)
if employees > 100:
score += 25
elif employees > 20:
score += 15
else:
score += 5
# Website behavior scoring
sessions = lead_data.get('website_sessions', 0)
pages = lead_data.get('pages_viewed', 0)
if sessions > 3:
score += 25
elif sessions > 1:
score += 15
if pages > 10:
score += 15
elif pages > 5:
score += 10
return min(score, 100)
def send_slack_alert(lead_data, score):
webhook_url = "YOUR_SLACK_WEBHOOK_URL"
message = {
"text": f"🔥 Hot Lead: {lead_data['name']} (Score: {score}/100)",
"attachments": [{
"color": "good",
"fields": [
{"title": "Company", "value": lead_data['company'], "short": True},
{"title": "Title", "value": lead_data['job_title'], "short": True},
{"title": "Website Activity", "value": f"{lead_data['website_sessions']} sessions", "short": True}
]
}]
}
requests.post(webhook_url, json=message)
# Example usage
lead = {
"name": "Sarah Chen",
"email": "[email protected]",
"job_title": "Marketing Director",
"company": "TechCorp",
"company_size": 150,
"website_sessions": 4,
"pages_viewed": 8
}
score = score_linkedin_lead(lead)
if score >= 60:
send_slack_alert(lead, score)
print(f"Hot lead alert sent for {lead['name']} (Score: {score})")
Expected Results:
73% faster lead qualification vs. manual process
45% higher conversion rates from scored leads
$23K additional monthly revenue from better routing
35 hours saved monthly on manual lead research
Quick Setup Options:
Zapier: Copy configurations above (15 min setup)
Make.com: Same logic, visual builder (20 min)
Python: Copy script, add webhook URLs (10 min)
n8n: Import workflow logic (15 min)
This workflow catches high-intent prospects automatically and gets them to sales while they're hot - no manual qualification needed.
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