Know exactly which opportunities to work first

The model ties buying activity to real people and accounts through Common Room's buyer intelligence foundation. It applies configurable weights and produces person-level scores that aggregate to the account. Teams inspect the reasons behind each score and use ranks to prioritize outreach, alerts, and automated plays.

Common Room ranks buyers on buying activity across product, web visits, job changes, and dark-funnel channels. It does not stop at form fills and email opens inside one marketing automation platform (MAP). Scores stay explainable at the person level and roll up to accounts, so reps see both priority and the story behind it.

Common Room scores people first, shows the contributors behind each rank, and aggregates those person scores to the account. Many account-based marketing (ABM) tools return an account number without the people or behaviors behind it. Common Room keeps prioritization specific enough to act on.

Yes. RevOps and revenue architects adjust which buying signals matter most with simple weight controls, without custom data science work. Ranks stay aligned to the company's ideal customer profile and go-to-market motion as priorities change.

Yes. The model produces person-level ranks and aggregates those scores across the account record. Teams can prioritize a ready champion inside an account and still see which accounts are heating up overall.

Teams focus rep time on the highest-ranked people and accounts, trigger alerts, and feed prioritized prospects into outbound and pipeline plays. Ranks stay useful because each score carries the context sellers need to engage with a relevant message.

Customers who stack-rank prospects in Common Room report clearer pipeline focus for sales and marketing. Person360™ identity work that feeds scoring cuts duplicate records by up to 79%. Gartner’s B2B buying research covers how buyers research before sales talks.