AI Scoring | Common Room

How they work together →
Account-based Marketing (ABM)
Sales Development (SDRs)
Atlan's answer: Buy what scales. Build what only you know.
Configure, explain, and act on lead scores that give transparency into engagement context and a clear priority level, so your reps start each day knowing who is ready to buy, why their score rose or fell, and where to put their time most effectively.
Teams running their outreach on Common Room
Scoring combines hundreds of buying signals into one person-level score, spanning first-party product usage, website engagement, job changes, and dark-funnel activity. Those person scores roll up to the account. Your ranks reflect who is actually moving across channels, so sales and marketing prioritize the same ready buyers from one shared view.
Weight the buying signals that matter for your motion with simple sliders, without spreadsheet gymnastics or a data science queue. Person and account ranks stay aligned to how you win. The highest-scored prospects route into the plays and alerts your team already runs, so effort follows pipeline.
Hover any score to see the behaviors and attributes behind it. With clarity, engagement starts from real context instead of from a vague number. Sellers personalize with the reason the buyer is ready today, and leaders trust the model because every point maps to something observable.
74% more pipeline in 1 quarter
“Once our reps got their hands on Common Room, the response was unanimous: ‘Buy it, please.’ We sourced pipeline right away running plays from product usage, web visits, GitHub activity—you name it.”
Director of Sales Development, Semgrep
74% more pipeline in 1 quarter
“Once our reps got their hands on Common Room, the response was unanimous: ‘Buy it, please.’ We sourced pipeline right away running plays from product usage, web visits, GitHub activity—you name it.”
Director of Sales Development, Semgrep
AI Scoring ranks people and accounts using complete buyer intelligence. Like lead scoring but more accurate, it combines buying activity, fit, and engagement into transparent scores go-to-market teams use to decide who deserves attention now.
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.
Pipeline powered by buyer intelligence.