waterfall-enrichment

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Design multi-provider enrichment waterfalls — provider ordering by cost-per-hit, 3 separate waterfalls for company, email, and phone data, always verify after finding. Use when building enrichment waterfalls or improving data coverage.

AI & Automation 49 stars 14 forks Updated 4 days ago MIT

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Skill Content

# Waterfall Enrichment ## Overview No single B2B data provider covers more than 60-75% of contacts. A multi-provider waterfall chains providers in sequence, each firing only when the previous returns empty. The result: 85-92% coverage at optimized cost. This skill covers complete waterfall architecture: 3 separate waterfalls for company data, email, and phone — each with independently optimized provider ordering and verification integration. ## Authoritative Foundations - **DAMA-DMBOK Data Quality Dimensions** — Shapes deliverables for this skill — No single B2B data provider covers more than 60-75% of contacts. - **Ziellab 3-Waterfall Architecture** — Shapes deliverables for this skill — No single B2B data provider covers more than 60-75% of contacts. - **HubSpot Academy — CRM Automation** — Lifecycle stages, object model, and workflow enrollment patterns. ## When to Use - "Build an enrichment waterfall" - "Improve our data coverage" - "Chain multiple enrichment providers" - "Design a cost-optimized enrichment pipeline" - "Set up waterfall enrichment in Clay" ## Step-by-Step Process ### Phase 1: Three Separate Waterfalls Build independent waterfalls for different data types: **Company Waterfall**: 1. Clay native / Clearbit (cheap, broad) 2. Apollo Company (mid-cost, good SMB coverage) 3. ZoomInfo (expensive, enterprise depth) 4. Claygent AI research (unstructured, last resort) **Email Waterfall**: 1. LeadMagic Email Finder (verified results, pay-per-result) 2. Ap...

Details

Author
LeadMagic
Repository
LeadMagic/gtm-skills
Created
3 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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