Clay

Clay is an AI-powered go-to-market (GTM) data enrichment and workflow automation platform designed to help sales teams, marketing departments, revenue operations professionals, and growth teams find potential customers and turn prospect information into actionable business data. It brings together data from multiple providers, AI-assisted research, automated workflows, and tools for activating enriched information across sales and marketing systems. Rather than serving only as a contact database, Clay helps businesses build customised processes for discovering leads, researching accounts, enriching records, and preparing targeted outreach.

A central feature of Clay is its data enrichment system. Businesses often maintain lists of prospects containing only a name, company, website, or email address. These records may be incomplete, outdated, or insufficient for deciding which prospects are most relevant. Clay can use connected data providers to find additional information, such as professional contact details, company characteristics, job titles, technologies used, and other business attributes. Users can select the data they need and organise the results into structured tables for further analysis or outreach.

Clay’s data marketplace brings together information from numerous third-party providers. Instead of building separate processes for every data source, users can connect multiple providers within one workflow. Its waterfall enrichment feature allows a search to move between providers when an earlier source does not return a suitable result. This approach can improve the chances of finding a match, although the availability and accuracy of information depend on the providers, the type of record being researched, and the data available for a particular person or company.

The platform also supports audience and market research. Teams can use it to identify organisations that match a target customer profile, assemble lists of potential buyers, and add relevant attributes to each account. For example, a sales team could build a list of companies in a particular industry, enrich the records with employee counts and technology information, and identify people who may be relevant to its product. Marketing teams can use similar workflows to prepare account lists for targeted campaigns and audience activation.

AI-assisted research is another important part of Clay. Its Claygent agents can research companies and people using web-based information and return answers to customised questions. Users can define the information they want to collect, rather than being limited to a fixed set of fields. This is useful for tasks such as identifying a company’s products, researching recent business developments, checking whether an organisation fits a target market, or summarising information that helps a sales representative prepare for outreach. As with other AI research systems, results should be checked when accuracy is important, particularly when the source information is incomplete or ambiguous.

Clay also provides workflow orchestration tools that allow users to combine data collection, AI processing, enrichment, and actions in a single process. A workflow might identify new companies, find relevant decision-makers, enrich their contact information, use AI to research business needs, and send the resulting records to a CRM or outreach application. Users can define how information moves between steps and use conditions to determine what happens next. This helps reduce repetitive manual work and makes it easier to repeat complex prospecting processes as new data becomes available.

For sales development teams, Clay supports prospecting and personalised outreach preparation. Users can combine information about a person, their organisation, and relevant business signals to create more specific messaging. Clay also offers a native email sequencing option, while integrations with outreach platforms allow users to move eligible records into existing campaign workflows. These capabilities help teams prepare messages based on prospect context instead of relying entirely on generic templates. Generated messages should still be reviewed before use to ensure that personal references are accurate and appropriate.

Signal tracking helps teams identify changes that may create a reason to contact a prospect. Depending on the available data and configuration, users can monitor events such as job changes, promotions, new hires, company news, and other relevant business developments. These signals can support timely outreach by helping sales representatives identify when an account’s circumstances may have changed. Signal availability depends on the connected sources and the type of event being monitored.

Clay can also support inbound lead qualification. Businesses can enrich incoming lead records, add company and contact details, evaluate prospects against defined criteria, and route the results to the appropriate team or system. For example, a company may use its own qualification rules alongside enriched firmographic information to prioritise leads for sales follow-up. Automated scoring and routing can improve consistency, but organisations should check the rules and data quality to ensure that appropriate leads are not incorrectly excluded.

CRM enrichment and synchronisation are additional capabilities for organisations that want to keep their customer records more complete. On eligible plans, Clay can synchronise data with supported CRM systems and enrich existing records. It also supports integrations with data warehouses and can connect to external systems through HTTP APIs and webhooks on qualifying plans. These options help revenue operations teams maintain data across several systems without relying exclusively on manual spreadsheet updates.

Clay’s audience activation features allow teams to use enriched data beyond the immediate prospecting workflow. Eligible users can prepare and synchronise audiences with advertising platforms, including supported advertising destinations such as LinkedIn, Meta, and Google. This can help marketing teams build more targeted campaigns using company, contact, or account attributes. The exact destinations and available activation options depend on the current integration and subscription plan.

The platform uses two main usage measures: Actions and Data Credits. Actions account for work performed by Clay, such as running enrichment steps, executing workflows, calling AI models, or sending information to another system. Data Credits are used for data and AI services purchased through Clay’s marketplace. Keeping these measures separate helps explain why the cost of a workflow can depend both on the amount of platform processing and the external data sources used. Users can also bring their own API keys for supported providers, which can reduce Data Credit consumption while still using Actions for the platform work.

Clay is intended for both individual users and larger revenue teams. Its free plan provides a way to explore the platform, while paid tiers add larger usage allowances and capabilities for prospecting, signal tracking, CRM synchronisation, audience activation, and more advanced integrations. Enterprise customers can access additional controls and support designed for larger organisations. Because usage depends on the number of records, enrichment steps, data providers, and AI tasks involved, teams should estimate their workflow requirements before choosing a plan.

Clay is particularly suited to businesses that need flexible, data-driven prospecting and revenue operations. Sales teams can use it to find and research prospects; marketing teams can build and activate target audiences; and operations teams can automate data preparation across their technology stack. It can also be useful for agencies and growth teams managing multiple campaigns or customer segments. However, Clay is not a replacement for every CRM, email platform, or business intelligence system. Its strongest role is connecting data sources and automating the steps that turn information into useful go-to-market activity.

Pricing

Clay uses a freemium, usage-based pricing structure with separate allowances for Actions and Data Credits. The official pricing page advertises the following plans and features:

• Free: $0. Includes 500 Actions per month, 100 Data Credits per month, unlimited seats and tables, multi-provider waterfalls, Claygent enrichment, and up to 200 rows per table.
• Launch: The pricing page displays a monthly price of $167, while its plan FAQ describes the starting price as $185 per month. The plan includes 15,000 Actions per month, data credits, phone-number enrichment, signal tracking, and email sequencing or outreach integrations.
• Growth: The pricing page displays a monthly price of $446, while the plan FAQ describes the starting price as $495 per month. It adds CRM and data-warehouse synchronisation, HTTP API integrations, webhook automation, web-intent signals, advertising audience activation, and priority support.
• Enterprise: Custom pricing with an annual commitment. Includes higher usage allowances, enterprise security and administration, Clay API access, data-warehouse synchronisation, single sign-on (SSO), role-based access controls, and dedicated support.
• Free trial: A 14-day trial is advertised.
• Additional usage: Users can purchase more Data Credits or move to a higher Action tier. Data Credits and Actions have different pricing and rollover rules.

Prices and plan allowances may change. The official page displays different starting-price figures in its plan cards and FAQ, so confirm the current checkout price and included allowances before subscribing.

Review

Clay is a powerful option for teams that need to combine prospect research, data enrichment, AI-assisted analysis, and workflow automation. Its major strength is flexibility: users can build customised processes around their own target markets and data requirements rather than relying only on fixed prospecting features. The multi-provider enrichment system, Claygent research agents, signal tracking, and connections to CRM and outreach tools make it useful for businesses that want to reduce repetitive lead-generation work.

The platform’s ability to connect research and activation is another advantage. Enriched records can feed into sales systems, outreach workflows, or advertising audiences, helping teams make more practical use of the information they collect. Its free plan also gives new users a way to explore the interface before moving to a paid tier.

However, Clay can require time to configure and learn, especially when workflows involve many data sources or conditional steps. Usage-based pricing can also become difficult to estimate if a process performs numerous enrichments or uses expensive data and AI services. Data quality is not guaranteed, and AI-generated research should be reviewed before it informs important business decisions. The difference between the displayed plan prices and the figures in the pricing FAQ is another reason to verify the current cost before committing.

Clay is worth considering for sales, marketing, and revenue operations teams that need flexible prospect enrichment and automated go-to-market workflows. It offers substantial customisation and a broad integration ecosystem, but users should plan their usage carefully, validate important data, and make sure the available features match their operational needs.