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Clay

Spreadsheet-native GTM data platform that waterfalls through dozens of providers to enrich and personalize outreach.

9.6
AT500 Score
Rank #2 in Sales AI
▲ +3
Starting priceFrom ~$134/mo
Pricing modelPaid
G2 rating4.9/5 (1,820)
Founded2017
HeadquartersNew York, NY

About Clay

Clay is a go-to-market data platform built around a spreadsheet-style interface where each row represents a person or company and each column is an API call, auto-populating from chained data providers like Apollo, Hunter, and OpenAI in a 'waterfall' that tries source after source until a verified answer is found. This waterfall approach typically yields 90 to 95% contact accuracy by paying for redundancy across providers, reportedly outperforming single-vendor data by 12 to 18% on email validity according to a 2025 G2 report. Clay's pricing looks inexpensive at the platform level, but costs scale with usage: credits are consumed per data element per record, and Action Credits introduced in March 2026 now meter every workflow step including API calls and CRM pushes, adding a variable cost layer some users have called a "workflow tax." Premium data sources like ZoomInfo and Apollo must be brought separately rather than being included.

Key features

Waterfall enrichment
Chains multiple data providers until a verified answer is found
Spreadsheet interface
Build lists, score accounts, and write outreach without leaving the table
AI research agents
Automated agents perform research directly within the workflow
90-95% accuracy
Waterfall redundancy outperforms single-vendor data providers

Pros and cons

✓ Pros
Highest reported contact accuracy in the category via waterfall redundancy
Flexible, builder-friendly interface for custom enrichment and personalization workflows
Genuinely powerful for teams wanting to assemble a custom GTM data stack
Strong ecosystem of provider integrations (Apollo, Hunter, ZoomInfo, and more)
✗ Cons
True production cost runs well above the platform fee due to per-element credit consumption
March 2026 Action Credits added a further metered cost layer on top of data credits
Premium data sources require separate paid subscriptions, effectively paying two vendor bills
Requires ongoing attention from someone with both technical and GTM expertise to run well

Best for

GTM teams wanting a custom, builder-style enrichment workflowTechnical operators comfortable managing a multi-provider data waterfallTeams prioritizing maximum contact accuracy over simplicityOrganizations willing to actively manage credit consumption to control costs

Why this score

Centre of gravity for modern GTM stacks with waterfall enrichment across 100+ providers

G2 4.9/5 Clay. Centre of modern GTM stacks. Waterfall enrichment.