LLM Lead Classification
Goal
Classify leads using Claude for complex distinctions that keyword matching can't handle.
When to Use
- Product SaaS vs IT consulting agencies
- High-ticket vs low-ticket businesses
- Subscription vs one-time payment models
- NOT for simple categories (dentists, realtors)
Scripts
./scripts/classify_leads_llm.py- Main classification script./scripts/update_sheet.py- Update sheets./scripts/read_sheet.py- Read from sheets
Usage
python3 ./scripts/classify_leads_llm.py .tmp/leads.json \
--classification_type product_saas \
--output .tmp/classified_leads.jsonPerformance
- ~2 minutes for 3,000 leads
- ~$0.30 per 1,000 leads
- Default: includes "unclear" classifications (medium confidence)
Classification Types
product_saas: Product companies vs service/consulting- Custom types can be added
Output
JSON file with classification added to each lead record.
Schema
Inputs
| Name | Type | Required | Description |
|---|---|---|---|
leads_file | file_path | Yes | JSON file with lead data |
classification_type | string | Yes | Classification type (e.g., 'product_saas') |
output | file_path | No | Output JSON file path |
Outputs
| Name | Type | Description |
|---|---|---|
classified_file | file_path | JSON file with classification added to each lead |
Credentials
| Name | Source |
|---|---|
ANTHROPIC_API_KEY | .env |
Composable With
Skills that chain well with this one: scrape-leads, gmaps-leads, instantly-campaigns
Cost
$0.30 per 1,000 leads