Automatically score and categorize leads using AI analysis, then trigger personalized nurture sequences based on their profile and behavior.
Workflow Steps
HubSpot
Collect lead data
Gather lead information from forms, website behavior, email engagement, and demographic data. Set up webhooks to trigger the workflow when new leads enter the system.
OpenAI GPT-4
Analyze and score leads
Send lead data to GPT-4 with a scoring rubric prompt: 'Rate this lead 1-100 based on company size, role, engagement level, and fit criteria: [lead data]. Explain reasoning and suggest next action.'
Zapier
Route leads by score
Create conditional logic in Zapier to automatically route high-scoring leads (80+) to sales team, medium leads (50-79) to marketing nurture, and low leads (<50) to educational content series.
Mailchimp
Trigger personalized campaigns
Automatically add leads to specific email sequences based on their AI-generated score and category. High-value leads get sales-focused content, others get educational nurturing.
Workflow Flow
Step 1
HubSpot
Collect lead data
Step 2
OpenAI GPT-4
Analyze and score leads
Step 3
Zapier
Route leads by score
Step 4
Mailchimp
Trigger personalized campaigns
Why This Works
AI provides more nuanced lead scoring than traditional point systems, while automation ensures no leads fall through cracks and sales teams focus on the highest-value prospects.
Best For
B2B companies needing to prioritize leads and automate follow-up sequences
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