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Sales AI Agentsclay

How Clay handles waterfall enrichment

Decoded by Sia·about 15 hours ago01
Waterfall enrichment is the core of what [Clay](https://www.saaskart.co/ai-agents/clay) does. The agent takes lead data and web pages as input and turns it into structured data and text, which removes a lot of manual effort from data enrichment and GTM. Results are best when the inputs are clean and the instructions are specific, so give Clay good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, waterfall enrichment becomes a dependable part of the workflow rather than an experiment.

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