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Clay

Sales Intelligence & Lead Data

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★★★★☆ 4.9 / 5 on G2 · 4.8 on Capterra (500+ G2 reviews)
4.9 / 5
G2 rating [source]
2017
Founded, New York [source]
100+
Data sources in waterfall [source]
AI
Research agents built in [source]

Quick facts

CategoryData enrichment and automation
Founded2017
HeadquartersNew York City
Starts atFree, paid from about $149/mo
Best forData enrichment and list building
DeploymentCloud, web
Free planYes
Integrations100+ data sources, CRM, API
G2 rating4.9 / 5
Capterra rating4.8 / 5

What is Clay?

Clay is a fast growing data enrichment and automation platform that has become one of the most talked about tools in modern go to market. Founded in 2017 in New York, it lets teams combine more than a hundred data providers in a single spreadsheet like interface, enrich records through a waterfall that tries source after source for the best match, and use AI to research prospects and build highly targeted lists automatically. It is less a fixed database and more a flexible engine for creating great data.

Clay's distinction is flexibility and the waterfall model. Instead of relying on one provider, it queries many in sequence, dramatically improving match rates, and its AI research agents can scrape and summarise information no single database holds. That power, plus a creative community sharing playbooks, has driven rapid adoption and one of the highest ratings in the category.

Clay at a glanceClay combines more than 100 data sources in a waterfall and adds AI research agents, and holds a 4.9 out of 5 rating on G2, among the highest of any sales tool. It has become a favourite of modern growth and GTM teams for building enriched, targeted lists.

Who Clay is best for

Clay is best for growth, sales operations and GTM teams that want to build and enrich highly targeted lists flexibly, combining many data sources and AI rather than relying on one database. It suits technical and creative operators who like to build workflows. It is a weaker fit for reps who just want a simple contact lookup, where Apollo, Lusha or Hunter are easier, and its credit model rewards those who learn to use it well.

Key features

The core strengths are waterfall enrichment across more than a hundred providers for high match rates, a flexible table interface for building and transforming lists, AI research agents that scrape and summarise information, and integrations that push enriched data into the CRM and outreach tools. It also supports custom logic and automations, making it a build it yourself data engine rather than a fixed product.

Clay pricing

Clay has a free plan with limited credits, useful for trying it. Paid plans are credit based: Starter from around 149 US dollars per month, Explorer around 349, Pro around 800, and Enterprise custom, with credits consumed by enrichment and AI actions. Because it prices on credits, cost depends on usage, and heavy enrichment or AI research can consume credits quickly. Confirm current figures on the Clay pricing page.

Integrations and ecosystem

Clay integrates with more than a hundred data providers, major CRMs like Salesforce and HubSpot, sales engagement tools, and offers webhooks and an API. Its ecosystem and active community of templates and playbooks are part of the appeal, letting teams adopt proven workflows quickly.

Clay AI

AI is central to Clay's modern appeal. Its research agents can visit pages, extract specific information, and summarise findings at scale, and AI helps write personalised outreach from the enriched data. This lets teams build data points no static database offers, such as a prospect's recent activity or a company's specific attribute.

Ease of use and support

Clay is powerful and flexible, which means a learning curve, though its spreadsheet style interface is familiar and its community and templates shorten the ramp. Support is via chat, docs and an active community. Its G2 reviews are among the highest in the category, praising flexibility and match rates, with the learning curve and credit costs the main notes.

Is Clay worth it?

For a growth or GTM team that wants to build enriched, highly targeted lists and automate research, Clay is one of the most powerful and loved tools available, and the free plan makes it easy to try. The main cautions are the learning curve and credit based cost, so teams that just need a simple contact lookup may prefer Apollo or Lusha, while those who invest in learning Clay get outsized value.

Pricing

Free

$0
per month
  • Limited credits
  • Core enrichment
  • Try the platform

Starter

$149
per month
  • More credits
  • Waterfall enrichment
  • Integrations

Explorer / Pro

$349
per month and up
  • Higher credits
  • AI research agents
  • Advanced automation

Pros and cons

Pros

  • Waterfall across 100+ data sources
  • AI research agents for custom data
  • Flexible, powerful list building
  • Highest ratings in the category
  • Active community and templates

Cons

  • Learning curve to use well
  • Credit based cost can add up
  • More than simple lookups need
  • Rewards technical, creative operators

Clay alternatives

These sales intelligence & lead data tools come up most often against Clay.

Clay FAQ

What is Clay used for?
Clay is used to build and enrich targeted prospect lists by combining many data sources in a waterfall and using AI research agents, then pushing the enriched data into a CRM or outreach tool. Modern GTM teams use it for high quality, custom data.
How much does Clay cost?
Clay has a free plan, with paid credit based plans from around 149 US dollars per month for Starter, 349 for Explorer, and 800 for Pro, plus Enterprise. Cost depends on usage. See the Clay pricing page.
What is waterfall enrichment?
Waterfall enrichment queries multiple data providers in sequence for each record, using the first good match, which produces far higher match rates than relying on a single source. It is a core reason teams choose Clay.
Is Clay hard to learn?
Clay is powerful and flexible, so there is a learning curve, but its spreadsheet style interface is familiar and its community templates help new users adopt proven workflows quickly.
Clay vs Apollo.io, which is better?
Clay is a flexible enrichment and automation engine combining many sources, while Apollo.io is an all in one database and outreach tool. Teams wanting custom, high match data choose Clay; those wanting simple all in one prefer Apollo.
Does Clay use AI?
Yes. Clay's AI research agents can visit pages, extract specific information and summarise findings at scale, and AI helps write personalised outreach, letting teams build data points no static database offers.

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