Clay

Clay is a sales data enrichment and outbound automation platform that connects 75+ data providers in one interface, so sales teams can build prospect lists, enrich contact data, and trigger personalized outreach without stitching together a dozen separate subscriptions. Its AI research agent, Claygent, can search the web and extract specific facts about companies and contacts for personalization at scale. Clay reached a $1.25 billion valuation in 2024 and is used by sales teams at HubSpot, Notion, and Anthropic. Plans start at $149/month.

Every sales team building an outbound motion eventually discovers the same problem with data. Your ideal customers exist, their contact information exists somewhere on the internet, but no single database has all of it reliably. ZoomInfo has strong coverage in some verticals. Apollo has a large volume of records. LinkedIn has current job titles. A company's own website has the details about what they actually do. Getting all of that information into one place, enriched and ready for personalized outreach, used to require a combination of expensive subscriptions, manual research, and a lot of spreadsheet cleanup.

Clay exists to solve that problem at scale.

Quick verdict

Clay is the most powerful sales data enrichment platform available for teams willing to invest in setting it up properly. The waterfall enrichment across 75+ providers and the Claygent AI research capability give it a data quality and personalization depth advantage that no single-source database can match. It's not a push-button AI SDR and it's not simple to master, but for revenue operations teams that want control over their data layer, it's the best tool in the category. The $149/month Starter plan makes it accessible to teams that previously would have needed enterprise data contracts to achieve comparable coverage.

What is Clay, exactly?

Clay is a New York-based company founded in 2017 that spent its early years building toward a product that the market wasn't quite ready for. By 2023, the combination of AI improvements and a growing demand for outbound automation at scale had created exactly the conditions where Clay's approach made sense. The company raised at a $1.25 billion valuation in 2024, which is an unusual trajectory for a company that had been building quietly for six years.

The core product is a table-based interface where each row represents a person or company, and each column represents a data point you want to fill in. Those data points can come from Clay's 75+ connected data providers, from Claygent's AI research, or from your own existing data. The table then connects to outreach tools to trigger personalized sequences based on what Clay found.

What made Clay valuable to sales teams at HubSpot, Notion, and Anthropic isn't just the data coverage. It's the ability to build enrichment logic that matches their specific ICP and research questions without being constrained by what a single database provider decided to include in their records.

The waterfall enrichment model

Waterfall enrichment is the feature that makes Clay's data coverage substantially better than relying on any single provider. Here's how it works: you define a data point you want to fill in, such as a prospect's verified work email address. Clay queries your first-choice provider. If that provider doesn't have the record, it automatically queries the second. Then the third. It keeps going through the waterfall until it finds a result or exhausts the available sources.

The practical effect is a dramatically higher fill rate than you'd get from a single subscription. A data provider with 70% coverage of your target market combined with a second provider that has 60% coverage of the same market doesn't give you 70% when used in sequence; it gives you somewhere above 85% because the second provider fills in records the first one missed.

For sales teams, this changes the economics of data. Instead of paying for the most expensive database because it has the broadest coverage, you can use Clay to access several providers through a credit-based model and only pay for the records you actually look up. For teams that don't do millions of enrichment lookups per month, this is typically cheaper than an enterprise ZoomInfo contract.

Claygent: AI research at column scale

Claygent is Clay's AI research agent, and it's the feature that separates Clay from being a data aggregator into something closer to an autonomous research assistant.

You use Claygent by defining a research question in a column prompt. For example: "What is this company's primary product category?" or "Has this company announced a funding round in the last six months?" or "What technology does this company use for their customer support?" Claygent reads the web, searches LinkedIn, pulls from news sources, and extracts an answer for each row in your table.

The personalization implications are significant. Instead of referencing generic data points like company size or industry in your outreach, your emails can reference specific facts about each prospect's situation. This level of specificity requires either expensive manual research by human SDRs or a system like Claygent that can do that research programmatically across hundreds or thousands of rows.

Claygent research costs more credits than standard enrichment lookups, and the credit consumption adds up at scale. The calculus is whether highly specific personalization lifts your reply rates enough to justify the additional cost. For most sales teams targeting enterprise buyers where a single deal is worth tens of thousands of dollars, the answer is usually yes.

The workflow builder and integrations

Clay's workflow builder uses a table interface that most sales and operations people can learn without engineering support. Triggers can be set from webhooks, CRM events, CSV imports, or scheduled queries. Once triggered, the workflow runs through your defined enrichment steps, AI research columns, and any logic you've built to filter or segment results.

The output can be pushed to Salesforce, HubSpot, Outreach, Salesloft, Apollo, or directly to Slack. For teams using a dedicated sales engagement platform to send outreach, Clay functions as the data preparation layer that feeds qualified, enriched contacts into the sequence tool rather than replacing it.

This positioning is important to understand. Clay is not an outbound sending platform. It prepares the data and personalization content that a sending tool then uses. If you want an all-in-one AI SDR that handles research and outreach in one product, tools like Artisan or 11x AI are closer to that model. Clay is the tool you use when you want control over each stage of the process and you're willing to manage the integration between data preparation and outreach execution.

Pricing and credit economics

Clay's pricing structure has two components: the plan fee and credits consumed per enrichment action.

Starter at $149/month includes a base credit allocation suited for smaller teams or lighter use cases. It provides access to Clay's data providers and Claygent research within the credit limits.

Explorer at $349/month increases credits and adds some features for growing teams. This is the tier where many RevOps professionals land when they're running ongoing enrichment workflows.

Pro at $800/month is for teams running high-volume enrichment at scale, with substantially more credits and priority support access.

Enterprise is custom, typically negotiated for teams that need dedicated support, custom credit volumes, and SSO or security review processes.

Credit management requires attention. A common mistake for new Clay users is running large enrichment workflows in Claygent without calculating the credit cost first. The tool's flexibility means it's easy to set up a workflow that consumes more credits than expected if you're running AI research across tens of thousands of rows. Starting with small test batches and measuring cost per enriched contact before scaling is the right approach.

Where Clay wins and where it doesn't

Clay wins on data quality and research flexibility. No other platform gives you access to 75+ data providers in a waterfall model alongside AI research that can find information no standard database tracks. For revenue operations teams building serious outbound infrastructure, this is the most powerful data layer available.

It also wins at the $149/month Starter price point. Previously, getting the data coverage Clay provides required enterprise contracts with multiple providers. Clay's credit model puts that coverage within reach for smaller teams with lower volume needs.

Where Clay is harder is the setup investment. The workflow builder is learnable, but it takes time. Teams without a dedicated revenue operations function, a technical founder, or a sales engineer often find themselves spending more setup time than they expected before Clay is producing enriched contacts they can act on. The tool rewards expertise and penalizes impatience.

Clay also doesn't solve the outreach problem. You still need a tool to send the emails that Clay helps you prepare. For teams that want everything in one platform, the requirement to integrate Clay with a sending tool adds friction.

How Clay compares to the alternatives

Clay vs Apollo.io: Apollo is a self-contained platform with its own database and built-in email sequencing. Clay is a data layer that can connect to Apollo as one of its providers. If you want an out-of-the-box solution with data and sending in one product, Apollo is simpler. If you want best-in-class data enrichment with source flexibility and AI research depth, Clay is more powerful but requires more setup.

Clay vs Artisan: Artisan is built around autonomous AI SDR operation. Clay is an enrichment and automation tool that feeds into outreach. Artisan is a better fit for teams that want an AI agent to run outbound independently. Clay is the better fit for teams that want to control the data layer and connect it to their existing outreach stack.

Clay vs 11x AI: 11x is an end-to-end AI SDR platform. Clay is data infrastructure. Teams often use Clay to feed enriched leads into tools like 11x rather than choosing between them.

Clay vs Lindy: Lindy handles email, meeting, and scheduling automation with sales workflow features. Clay handles data enrichment and outbound preparation. They serve different parts of the sales workflow and can complement each other rather than compete directly.

Clay vs Regie.ai: Regie.ai focuses on AI-generated sales sequences and email writing. Clay focuses on data enrichment. They're often used together rather than evaluated as alternatives.

Getting started

Start by defining the research questions you want Clay to answer for each prospect before you configure any workflows. The best Clay setups begin with the question "What would a human researcher look up before writing a personalized email to this prospect?" and then build columns to find that information automatically.

Begin with a small test list of 50 to 100 contacts before running large enrichment batches. This lets you measure credit consumption per contact, verify fill rates on your specific ICP, and confirm that Claygent's research quality matches your expectations before spending significant credits at scale.

Set up your CRM integration early. Pushing enriched data to Salesforce or HubSpot as the final step in your workflow ensures the rest of your sales team can act on what Clay produces without requiring them to learn the Clay interface.

Invest time in learning the waterfall configuration for email enrichment specifically. Email validity is the most common data quality problem in outbound, and configuring a proper waterfall across three or four providers for email verification significantly improves deliverability and bounce rates.

The bottom line

Clay is the best data enrichment infrastructure available for sales teams serious about outbound quality. The waterfall enrichment model, the Claygent AI research capability, and the flexible integrations with the rest of the sales stack give revenue operations teams more control over data quality than any competing platform offers. The learning curve and the credit economics require attention, but for teams that invest in setting it up properly, Clay consistently produces better data than single-source alternatives at a lower total cost. Start at the Starter plan, run a test batch, and measure fill rates against your existing data sources before committing to a higher tier.

Key features

• Waterfall enrichment across 75+ data providers to maximize contact data coverage and fill-rate without paying for multiple separate subscriptions
• AI research agent (Claygent) that searches the web, reads company pages, and extracts specific information to personalize outreach at scale
• Table-based workflow builder for building enrichment and outreach pipelines without writing code
• Native integrations with Salesforce, HubSpot, Outreach, Salesloft, and Apollo to push enriched data directly into existing sales tools
• LinkedIn data enrichment and automated prospect discovery based on job title, company, and signal-based criteria
• Real-time webhook triggers to kick off enrichment workflows when new leads enter CRM or sign up for a product

Pros and cons

Who is Clay for?

• Prospect list building: enriching raw company lists with contact data, LinkedIn profiles, and email addresses using 75+ data sources
• AI-powered personalization research: using Claygent to find specific facts about companies and contacts for highly targeted outreach
• Revenue operations workflows: building enrichment pipelines triggered by CRM events, form fills, or webhook signals
• Data hygiene: enriching and updating existing CRM contacts with current email, phone, and firmographic information

Alternatives to Clay

If Clay isn't quite the right fit, the closest alternatives are apollo-io , artisan-ai , and 11x-ai . See our full Clay alternatives page for side-by-side comparisons.