Common Room has become a critical part of how we identify and prioritize top-of-funnel opportunities. It brings together signals from multiple sources like Slack, GitHub, and web activity, then enriches that data to highlight which accounts are showing meaningful engagement. This gives us a much clearer picture of who we should be targeting and when. The member and account-level insights help us connect the dots across the customer journey, and we’ve been able to act on intent earlier and more confidently. It’s also a huge plus that we can tailor lead scoring based on the specific actions we care about. This saves time, helps us focus on the right people, and improves the quality of outreach across the board.
UI
Verified User in Information Technology and Services
Top 2 would be the signal-stacking capabilities and RoomieAI research prompts. Signal-stacking is a really smart way to get to the high-intent accounts have not been on the business's website. Calculated fields have been critical to this, but being able to stack internal ICP criteria and external (2nd and 3rd party) signals has been a game-changer.
I don't go a day without Roomie AI search prompts. It's a big time-saver and I appreciate how it goes into the details and provides the sources. The fact that it can also become a filter/signal also helps me identify relevant accounts.
Both have been easy to use and implement (for me), and our solutions architect's expertise have been critical for this so I appreciate his continuous support.
Built with customers like Atlassian, Notion, and Zapier, Common Room gives GTM teams a single place to capture every buying signal, score and prioritize the person and account behind the signal, and run high-converting plays at scale.More signal. More action. More revenue. Common Room is how today's top companies GTM intelligently.