Clay

Clay is a GTM infrastructure platform for revenue teams that need to turn fragmented company, contact, and intent data into AI-assisted sales and marketing workflows. It brings first-party data, third-party enrichment, external data providers, and workflow automation into one workspace so go-to-market teams can build more precise prospecting, routing, and audience strategies. Clay is especially useful for teams that want more control than a standard CRM or marketing automation tool provides, without having to build a custom internal data system from scratch. For revenue teams, Clay is best known for helping identify and enrich the right accounts and contacts before outreach begins. Sales, growth, and operations teams can use it to source target companies, find relevant people, add missing attributes, and verify records using a wide range of connected data sources. Instead of relying on one database, the platform lets teams combine multiple providers and their own internal context to create a more complete view of each prospect or customer. At the center of the product is a flexible table-based workspace that behaves like a spreadsheet, a data pipeline, and an automation builder at the same time. Users can create workflows that pull in firmographic data, job titles, technologies used, funding events, hiring activity, web signals, and other inputs that matter to a sales motion. AI assistance helps transform that data into practical outputs, such as account summaries, personalization snippets, qualification logic, or next-step recommendations. Signal monitoring is one of the areas where the platform becomes more than a static enrichment tool. Teams can track buying signals, career changes, company growth, new executive hires, category intent, or other events that suggest timing and relevance. When those signals appear, workflows can update records, trigger CRM automation, notify reps, or feed outbound campaigns with more timely context. Inbound teams can use Clay to improve lead scoring, routing, and qualification before a human touches the record. A form submission or new signup can be enriched, matched to an account, evaluated against ideal customer profile rules, and routed to the right owner based on territory, company fit, role, or buying potential. This makes it useful for revenue operations teams that need cleaner data and more consistent handoffs across sales and marketing systems. Audience workflows extend the platform into paid media and lifecycle marketing. Customer segmentation can be built from enriched account attributes, behavioral data, CRM fields, and external signals, then synced into channels such as LinkedIn, Meta, and Google. That allows teams to move from broad campaign audiences toward targeted account lists, suppression lists, reactivation segments, or lookalike inputs based on richer business data. The platform’s character is closer to a programmable GTM data layer than a single-purpose sales tool. Clay connects the work that often sits across spreadsheets, enrichment vendors, CRMs, marketing automation platforms, and manual research processes. Integration automation is central to that value, because the tool is designed to move data between systems while giving operations teams room to define their own logic. For organizations with complex go-to-market motions, Clay is a way to operationalize data strategy rather than simply store more records. It helps teams decide which accounts matter, what context is useful, when to act, and where that intelligence should appear in the revenue stack. Clay is for sales, marketing, growth, and RevOps teams that want to build repeatable AI-assisted workflows around targeting, enrichment, scoring, routing, and activation.