About Clay
Clay is a go-to-market data platform that combines more than 100 data sources with AI agents to help sales and marketing teams build enriched prospect lists and automate personalized outreach. Rather than requiring users to stitch together multiple data providers manually, Clay pulls from sources such as LinkedIn, Clearbit, Apollo, and dozens of others through a single spreadsheet-like interface. AI agents then process that data to write personalized messages, research companies, and fill in gaps where individual sources fall short, a technique the platform calls "waterfall enrichment." The primary use cases center on outbound sales and demand generation. Revenue teams use Clay to build targeted lead lists, enrich CRM records with firmographic and technographic data, and generate highly personalized cold email copy at scale without proportionally increasing headcount. Growth engineers and operations professionals also use it to automate workflows that would otherwise require custom API integrations or manual research. Because the interface resembles a spreadsheet augmented with formula-like logic, it appeals to technically comfortable users who want flexibility without writing full code. Agencies running outbound campaigns on behalf of clients represent another significant user segment. Clay is built for growth-focused teams at startups and mid-market companies, as well as solo operators and freelancers who run outbound infrastructure as a service. It operates on a credit-based pricing model, where credits are consumed each time the platform queries a data source or runs an AI enrichment action. Plans are tiered by credit volume, with a free entry level available for users who want to explore the tool before committing. Higher tiers unlock greater credit allowances, additional integrations, and team collaboration features. Because costs scale with usage, the platform suits teams that can tie enrichment activity directly to pipeline outcomes and justify the spend against conversion metrics.
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