
Common Room's buyer intelligence platform that unifies product, community, and CRM signals.
Common Room differentiates on person-level identity resolution, tying website, product, community, and CRM activity to named individuals and buying committees rather than to account-level scores. The platform markets waterfall enrichment across a large contact directory to raise match rates and reduce duplicate records.
Its signal coverage emphasises first-party and community sources, including product usage, open-source activity, and community participation, alongside conventional web-intent and job-change signals. Those sources sit closer to the product-led and community-led motions the offering targets.
Common Room was founded in 2020 by operators with backgrounds at Dropbox, Facebook, and AWS, and initially brought community and product-usage signals into one view for go-to-market teams. The company's offering developed from a customer-intelligence platform into a broader revenue platform spanning intelligence, outreach, and forecasting.
The Revenue OS framing consolidated buyer intelligence, outreach sequencing, dialing, and forecasting into one motion rather than a set of separate point tools. Zoom announced an agreement to acquire Common Room in July 2026, and the platform continues to be marketed under the Common Room brand within the acquirer's revenue portfolio.
The buyer-intelligence category is converging with sales engagement and forecasting, as vendors package signal data into execution workflows rather than leaving it in standalone dashboards. Enterprise buyers increasingly assess whether intent signals resolve to named individuals or remain at account level.
Consolidation is reshaping the segment, with larger revenue-platform vendors acquiring signal and intelligence providers to assemble end-to-end go-to-market suites. Vendors in this category are also exposing their data through headless interfaces and AI agents so the intelligence can be called from third-party tools and assistants.
Common Room publishes a tiered subscription for its platform, with an entry tier priced per month on annual billing and higher tiers quoted per customer. Each tier bundles a fixed number of seats, a maximum contact volume, and metered allocations for AI research, contact sourcing, and website enrichment.
Usage above the bundled allocations is sold as add-ons, so effective cost scales with contact volume and credit consumption rather than with seat count alone. Independent buyer-reported contract data places typical annual commitments in line with the published entry tier.
Common Room Revenue OS is a buyer-intelligence platform that consolidates first-party customer activity and external buying signals into a single person-level context layer. The product resolves interactions drawn from CRM, product usage, marketing, and community engagement to individual buyers rather than to anonymous accounts.
Revenue teams use that context layer to prioritise accounts, assemble buying committees, and drive outreach, with AI agents and configurable plays executing inside the sales, messaging, and browser tools a team already runs. Signal coverage spans website visits, job changes, product usage, community participation, and custom intent sources.