Built for RevOps. Used by revenue teams.
Built for RevOps. Used by revenue teams.
Clay enriches contacts and routes data across your stack. Common Room does that and adds a unified system of buyer intelligence underneath, with 400M+ contacts, real-time signals, Person360™ identity resolution, and AI agents that act on the full picture. No GTM engineer required.
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Clay vs Common Room: Which should you choose?
Clay is a GTM data platform with a spreadsheet-style interface for building custom enrichment waterfalls and table-based workflows. Getting value out of it typically requires a dedicated GTM engineer to configure, order, and maintain logic per use case.
Common Room is a unified system of buyer intelligence built for the entire revenue team. Signal capture, identity resolution, scoring, and AI agents are first-class platform objects, so SDRs, AEs, and RevOps all work from the same live picture of every buyer. Update an ICP score once and it propagates everywhere automatically with no spreadsheet sprawl underneath.
The difference is structural. Clay requires the engineer's mindset, building and tuning workflows table by table. Common Room natively captures first-, second-, and third-party context such as website visits, product usage, social, and open source signals. These engagements are unified into one Person360™ profile that the entire org can act on. One is a workbench you configure. The other is a system that works the moment it's turned on.
Compare platforms | Common Room→ Directory: 400M+ pre-enriched contacts with full signal context per person | Clay→ No native contact directory; lists built per-table from third-party providers |
| Core functionalityKey difference | Unified system of buyer intelligence with native signal capture, identity resolution, scoring, plays, and AI agents | Orchestration layer between CRM and provider-based data for waterfall enrichment, AI research, and table-based workflows |
| Pricing & value | Fixed annual pricing; predictable spend, clear add-on path, every license maximized | Credit + Action consumption model; spend scales with usage and is harder to forecast |
| Ease of use | Designed for the full revenue team; minimal setup to get value | Complex: spawned the "GTM Engineer" role and a paid Clay Experts ecosystem to operate it |
| Integrations | Native first, second, and third-party signal capture in one platform | Signals via third-party providers, CRM bi-directional sync, warehouse ingestion, webhooks/HTTP API |
| Support & onboarding | High-touch onboarding to expedite time-to-value | Clay University, Slack community, paid Clay Experts; depth reflects product complexity |
| Signals | ||
| Agentic signal captureKey difference | Included via RoomieAI Capture™ agent | Included via Claygent. Runs per-row research prompts; not a continuous capture system |
| AI research agent | Included via RoomieAI Capture™ agent | Included via Claygent |
| Job tracking, new hires, promotions | Included via out-of-the-box signal capture | Via third-party providers (Apollo, Clearbit, etc.) at credit cost |
| Website visitor identification | Included via Common Room waterfall identification (up to 50% person-level match rate) | Only via 3rd-party integration |
| News scraping (e.g., earnings call, product launches, strategic hires) | Included via native signal capture or via RoomieAI Capture™ agent | Only via 3rd-party integration or Claygent |
| Open source signals (e.g., GitHub activity) | Included via native signal capture | Not available natively |
| Product signals | Included via native signal capture | Not available natively |
| CRM and Marketing signals | Included via native platform integration. Bi-directional sync. | Included via integration |
| Contact level intent | First-party intent via product, community, and behavioral signals | Third-party intent via partner providers consumed as credits |
| Enrichment / Identity Resolution | ||
| Waterfall enrichment | Included—Works out of the box (fixed annual pricing) | Included: User-configured ordering across providers (credits-based pricing) |
| Contact DatabaseKey difference | 400M+ pre-enriched contacts, with full signal context per person. | No native database; lists built per-table from third-party sources at credit cost |
| Data freshness | Continuous + source attribution | Refreshed at table-run time; depends on user cadence |
| Lead & account scoring | Included with configurable, transparent scoring at person + account level | Per-table scoring; logic must be replicated across workflows |
| Identity resolutionKey difference | AI-powered Person360™ unifies anonymous + known across profiles, accounts, channels | AI duplicate resolver and CRM matching; resolves per-table, not a persistent cross-source identity graph. No fuzzy matching on handles or profile images |
| First-party data | Native | CRM bi-directional sync only; no native website, product, or support ticket capture |
| Actions & Automation | ||
| AI-generated outbound | Included via RoomieAI Activate™ agent | AI-generated personalized snippets and hooks from enriched data |
| Interactive AI research | Included via RoomieAI Ask CR Anything | Claygent prompts run per-row in tables; no platform-wide ask |
| CRM data hygiene agentKey difference | Included with DataAgent | Not available |
| Real-time alerts | Included—Slack or email alerts the moment a signal fires | Alerts triggered on table runs and ingested third-party signals only |
| Play-based automation | Included—build, test, and scale activity-driven plays with ROI reporting | Included workflow engine, but logic lives per-table; combines data for enrichment, not signals for triggering |
| Native workbench for reps and opsKey difference | Central command center with shared queues, plays, scoring, and agents | No dedicated sales workbench; spreadsheet UI built for builders, not reps. Reps must work out of CRM |
| Workflow governance | Logic lives at the platform layer; one update propagates everywhere | Clay Functions adds a reusable governance layer on top of tables; bolt-on, not built-in |
| Pricing | ||
| Pricing modelKey difference | Fixed annual pricing. No hidden fees or surprises | Data Credits + Actions consumption model; spend scales with usage and adds projection risk |
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