Can this skill handle industry-specific data?

Yes, it includes specialized provider recommendations for various sectors including SaaS, Healthcare (Definitive Healthcare), Financial Services (PitchBook), and E-commerce (Store Leads).

What is a data sourcing waterfall?

A data sourcing waterfall is a sequential logic where multiple data providers are queried one after another until a high-quality result is found, effectively balancing cost and success rates.

How does this skill help reduce API costs?

The skill implements credit tiering strategies, smart caching (up to 90 days for company data), and batch processing to ensure expensive premium credits are only used as a last resort.

Which providers are best for email discovery?

For LinkedIn-based inputs, ContactOut and RocketReach are top-tier; for Name and Company inputs, Apollo and Hunter are recommended for standard enrichment.

Data Sourcing & Provider Optimization

Name: Data Sourcing & Provider Optimization
Author: Activer007

byActiver007

营销自动化

Optimizes B2B data enrichment by selecting the most cost-effective providers and implementing intelligent waterfall logic for company and contact intelligence.

关于

This skill empowers Claude to act as a RevOps and GTM engineering expert, navigating over 150 data sources such as Apollo, ZoomInfo, and Hunter. It provides specialized frameworks for building enrichment waterfalls, managing credit consumption through smart caching, and selecting the best providers based on specific input types like LinkedIn URLs or corporate domains. It is an essential tool for teams looking to maximize data quality for lead generation and company intelligence while minimizing API costs through strategic routing and batch processing.

主要功能

Smart caching and batch processing templates to reduce API waste
Cost-to-quality credit optimization and tiering strategies
Multi-provider waterfall logic orchestration for maximum success rates
0 GitHub stars
Standardized B2B data quality scoring frameworks
Industry-specific provider selection for SaaS, Healthcare, and Finance

使用场景

Auditing and reducing credit consumption across multiple high-cost data provider APIs
Designing automated GTM enrichment pipelines for RevOps and data engineering teams
Building high-success email and phone discovery sequences for targeted sales outreach

关于

主要功能

Smart caching and batch processing templates to reduce API waste
Cost-to-quality credit optimization and tiering strategies
Multi-provider waterfall logic orchestration for maximum success rates
0 GitHub stars
Standardized B2B data quality scoring frameworks
Industry-specific provider selection for SaaS, Healthcare, and Finance

使用场景

Auditing and reducing credit consumption across multiple high-cost data provider APIs
Designing automated GTM enrichment pipelines for RevOps and data engineering teams
Building high-success email and phone discovery sequences for targeted sales outreach