Clay review

What it is and who it's for

This is a go-to-market data workbench that looks like a spreadsheet but behaves like a no-code automation platform. Each row is a person or company, and each column can call out to one of 100+ data providers, run a formula, or fire an AI agent. It's aimed at RevOps and the emerging 'GTM engineer' role, not at reps who just want to pull a list and hit send. If your team wants to design bespoke enrichment and outbound pipelines, this is the category leader; if you want a clean point-and-click prospecting database, you'll find it overbuilt.

Strengths and where it falls short

The signature feature is waterfall enrichment: ask for an email or mobile and it queries Provider A, then B, then C until something lands, pushing match rates well past what any one vendor returns alone, and you only pay providers that actually hit. Layered on top, Claygent AI agents can scrape a website, summarize a LinkedIn profile, or draft a personalized opener as just another column, so one tool replaces a tangle of scrapers and subscriptions. The cost is complexity: the learning curve is genuine and most teams need weeks or a consultant to get fluent. The credit model is the bigger gotcha, since actions consume credits at wildly different rates and failed lookups still cost you, so a poorly structured run can drain a month's allotment fast.

Pricing and value

After the March 2026 overhaul, the self-serve lineup is a free tier, Launch around $185/mo, and Growth around $495/mo, with annual billing shaving roughly 10%. The upside of that change is that marketplace data costs dropped sharply and CRM sync moved down to the Growth tier rather than the old $800 Pro plan. Still, both credits and actions are metered, so the sticker price is a floor, not a ceiling. Existing customers on legacy Starter/Explorer/Pro plans should model the new actions system before migrating, because usage patterns translate unevenly.

Compliance and verdict

It's standard US-hosted SaaS, usable worldwide, with SOC 2 Type II and ISO 27001 audits and a published DPA. The honest caveat is data sourcing: because it aggregates 100+ third-party providers, the lawful basis and consent status of any given prospect record varies by provider, and you inherit that exposure, so treat legitimate-interest documentation and suppression as your own responsibility. Overall, for teams that treat outbound as an engineering problem, nothing else matches this combination of provider breadth, AI, and programmability. Go in clear-eyed: you're buying a platform to build on, and the credit meter rewards discipline and punishes guesswork, so skip it if you lack the time to learn it or a clear use case to justify the spend.