What Is Account Scoring?
A framework for ranking target accounts based on fit, intent, and engagement signals.
Account scoring is a framework for ranking and prioritizing target accounts based on a combination of fit, intent, and engagement signals. Unlike traditional lead scoring, which evaluates individual contacts, account scoring operates at the company level and aggregates signals across all known contacts and anonymous visitors within an account.
A typical account scoring model combines three dimensions. Fit score measures how closely an account matches your ideal customer profile based on firmographic and technographic data. Intent score captures buying signals from first-party and third-party sources. Engagement score tracks actual interactions with your brand, such as website visits, content downloads, ad clicks, email opens, and event attendance.
The weights assigned to each dimension depend on your business. Some companies find that ICP fit is the strongest predictor of success and weight it heavily. Others find that intent signals are more actionable. The right balance comes from analyzing your historical win/loss data and correlating account attributes with conversion outcomes.
Most ABM platforms offer built-in account scoring. 6sense uses AI to generate predictive scores based on buying stage and account fit. Demandbase provides customizable scoring that blends multiple data sources. RollWorks offers scoring that emphasizes advertising engagement. These platform scores are a good starting point, but many teams customize them based on their specific sales motion.
Account scores drive operational decisions across the GTM team. Marketing uses them to determine which accounts receive personalized campaigns versus scaled programs. Sales uses them to prioritize outreach and allocate rep time. Customer success uses them to identify expansion opportunities in existing accounts.
Review your scoring model regularly. Models degrade over time as market conditions and buying behaviors shift. Quarterly reviews that compare scoring predictions against actual outcomes will keep your model accurate and actionable.
Frequently Asked Questions
How is account scoring different from lead scoring?
Lead scoring evaluates individual contacts based on their attributes and behavior. Account scoring evaluates entire companies by aggregating signals across all contacts, anonymous visitors, and external intent data within an account.
What data goes into an account score?
Account scores typically combine three dimensions: ICP fit (firmographics, technographics), intent signals (first-party and third-party research activity), and engagement (website visits, content consumption, email interactions, ad clicks).
How often should you update your account scoring model?
Review your model quarterly. Compare predicted high-scoring accounts against actual pipeline and revenue outcomes. Adjust weights and thresholds based on what the data shows.