Can this skill handle international B2B data?

Yes, it provides guidance on selecting providers with better international coverage versus those focused primarily on the US market.

What is a data enrichment waterfall?

A waterfall is a sequential process where multiple data providers are queried in order until a valid result is found, maximizing success rates while controlling costs.

How does this skill help save on API costs?

It implements tiered routing and caching strategies, ensuring expensive premium providers like ZoomInfo or PitchBook are only queried when cheaper or cached options fail.

Which providers are best for technology stack detection?

The skill recommends BuiltWith, HG Insights, and Clearbit as primary sources for identifying a company's technology stack and software usage.

Data Sourcing & Provider Optimization

Name: Data Sourcing & Provider Optimization
Author: gtmagents

bygtmagents

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营销自动化

Optimizes B2B data enrichment through intelligent provider selection, waterfall logic, and credit-efficient routing.

关于

This skill transforms Claude into a Go-To-Market (GTM) data orchestration expert, capable of navigating 150+ enrichment sources for company and contact intelligence. It provides structured frameworks for building automated enrichment waterfalls, managing API credit tiers, and selecting the most effective providers for emails, phone numbers, and technographics. Ideal for RevOps and data engineering teams, it ensures high-fidelity data collection while significantly reducing operational costs through smart caching and routing strategies.

主要功能

29 GitHub stars
Multi-step waterfall logic to maximize contact discovery success rates
Data quality scoring framework for multi-source validation
Intelligent routing across 150+ data providers for B2B intelligence
Industry-specific provider selection for SaaS, Healthcare, and Finance
Credit-tier optimization strategies to minimize API consumption costs

使用场景

Building automated email discovery workflows for sales prospecting
Designing firmographic enrichment pipelines for CRM lead scoring
Auditing and optimizing multi-vendor data credit usage

关于

主要功能

29 GitHub stars
Multi-step waterfall logic to maximize contact discovery success rates
Data quality scoring framework for multi-source validation
Intelligent routing across 150+ data providers for B2B intelligence
Industry-specific provider selection for SaaS, Healthcare, and Finance
Credit-tier optimization strategies to minimize API consumption costs

使用场景

Building automated email discovery workflows for sales prospecting
Designing firmographic enrichment pipelines for CRM lead scoring
Auditing and optimizing multi-vendor data credit usage