Clay is positioned as a spreadsheet-style GTM platform, with its core being to provide infrastructure to ingest any data, run agent workflows, and launch GTM strategies. Its goal is to help teams build systems to grow revenue, and it is described as the orchestration layer for GTM.
Purpose
Clay is mainly used for GTM engineering, that is, go-to-market strategies driven by data and technology. It helps teams find every account in the target market, enrich, score, and route leads to the right sales representatives, prioritize the leads with the highest conversion rates, and personalize outreach based on real-time intent and engagement signals. At the same time, it is used to keep CRM records accurate, complete, and continuously updated, and to turn top accounts in the CRM into precise advertising campaigns.
Main capabilities
- Data acquisition and enrichment: Through the Clay marketplace, users can purchase data from more than 200 data and AI vendors under one contract, combine first-party and third-party data, and create intent signals from any content on the internet.
- AI agents: The platform provides agents that understand the user's business and accounts, turning context into research, scoring, and personalized outreach, with shared learning capabilities that make each strategy execution smarter.
- Visual canvas: Users can build GTM strategies by clicking, coding, or chatting with Clay, making troubleshooting, cross-team collaboration, and logic reuse easier.
- Integrations and automation: Supports triggering emails, ads, and more, integrates with existing GTM tools, can programmatically write one-to-one messages for each prospect, and quickly launch new tests.
- Sales representative self-service: Sales representatives can self-serve the best prospect data, obtain complete account context through natural language chat, and use centralized workflows.
How to use
According to the materials, users can build GTM strategies on Clay's visual canvas by clicking, coding, or chatting. They can find accounts in the TAM, enrich and score leads, set routing rules, and trigger personalized outreach based on real-time signals. The platform provides a native email sequencer that can launch emails and ads. Users can also obtain account context through natural language chat.
Applicable scenarios
Clay is suitable for teams that need large-scale, automated GTM workflows. The use cases mentioned in the materials include: Anthropic tripled its enrichment rate; Intercom grew its outbound pipeline by 140% by continuously researching target accounts' headcount changes, technographic characteristics, and web intent; Mistral AI reduced the time to map the TAM and score accountsfrom 2 months to 10 days; OpenAI fully automated pre-call preparation with Clay; Canva saved each sales representative 4 hours per week; Vanta reduced post-call follow-up time from 3 days to less than 1 day; ElevenLabs increased SQLs by 50%; Verkada doubled the reply rate for warm leads; Lovable increased qualified meetings booked per sales representative by 50%; Rippling doubled cold email performance; Legora increased qualified lead volume by 60%; Figma improved PLG conversion rates; Pendo sales representatives reached 200% of quota; Hex sales representatives increased their close rate by 50%; Terrapinn increased revenue per sales representative by 19% and reduced customer acquisition cost by 90%.
Limitations and information not yet provided
The materials do not provide facts such as Clay's specific charging model, pricing, supported operating systems or browser requirements, whether a free trial is offered, specific API documentation, data security certification details, or language support scope. This information is not yet provided in the existing materials.
