Key Points Covered:

• Clay's two main components: pre-built integrations and AI capabilities
• Over 100 different data providers available (ClearBit, Hunter.io, LinkedIn, etc.)
• Understanding Clay credits and cost considerations
• When to use enrichment vs. AI-powered data collection
• Making informed decisions about data sourcing based on accuracy needs and target companies

https://www.loom.com/share/0ac87d02c48f43209dc533a07a3c77e7?sid=8791f3a1-8ca2-4ebd-b04a-0271e2b6a8c7

Video Summary:

The video discusses the strategic decision-making process for using Clay's enrichment features. It explains how to choose between using pre-built integrations (which cost Clay credits) versus utilizing AI capabilities for data collection. The presentation includes practical examples, such as comparing LinkedIn data accuracy for B2B SaaS companies versus small local businesses, and demonstrates how to use Clay's AI capabilities for custom business classification.

<aside> 💡 Key Takeaway: The choice between enrichment and AI-powered data collection should be based on factors like data accuracy requirements, cost considerations, and the type of companies you're targeting.

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