Lead Scoring and CRM Automation
Automatically score incoming leads with AI, route them to the right sales rep, and trigger personalized follow-up sequences.
The Prompt
Build an AI-powered lead scoring and routing automation. Lead source: [website form / LinkedIn / Typeform / Calendly / email] CRM: [HubSpot / Salesforce / Pipedrive / Airtable] Sales team size: [number of reps and their specialties] Scoring criteria: [company size, budget, timeline, fit to ICP — describe your ideal customer] Build the automation workflow: Trigger: New lead form submission Step 1 — Data Enrichment: - Extract name, email, company, title from form - Clearbit/Apollo enrichment (get company size, revenue, industry) - LinkedIn URL lookup if available Step 2 — AI Lead Scoring (GPT-4): Input all lead data + enrichment Score 1–100 based on: - ICP fit (company size, industry, role) - Budget signals (company revenue, title seniority) - Intent signals (pages visited, content downloaded) - Timing (mentioned urgency or timeline) Output: Score, tier (Hot/Warm/Cold), reasoning summary, recommended next action Step 3 — Routing Logic: - Hot leads (70+): Assign to senior rep, Slack alert, 30-minute follow-up SLA - Warm leads (40–69): Assign to junior rep, add to 5-day email sequence - Cold leads (<40): Add to nurture newsletter, no rep assignment yet Step 4 — CRM Update: Create/update contact with score, tier, enrichment data, assigned rep Step 5 — Personalized Email Draft: GPT-4 generates personalized outreach email based on lead profile and score tier
Tips for Best Results
- →Review your top 20 closed-won customers and define what made them ideal — use this to tune your scoring criteria
- →Re-score leads monthly as their situation may have changed
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