Account Scoring

Account scoring is a method of ranking target accounts based on a combination of fit signals (firmographics, technographics, ICP match) and engagement signals (website visits, content downloads, ad clicks) to help sales teams prioritize outreach.

In GTM operations, account scoring determines where reps spend their time. Without it, sales teams either work accounts alphabetically, chase whoever came inbound most recently, or rely on gut instinct. A good scoring model replaces guesswork with data, ensuring your best reps focus on accounts most likely to convert and expand.

A practical account scoring model typically combines two dimensions. Fit scoring asks: does this company match our ideal customer profile based on industry, size, tech stack, and other firmographic attributes? Engagement scoring asks: are people at this company actually showing buying signals — visiting the pricing page, attending webinars, opening SDR emails? The combination matters. High fit with low engagement means targeted outreach is needed. High engagement with low fit might be a waste of time.

Most teams start simple: assign point values to key attributes and behaviors, set a threshold for “sales-ready,” and iterate monthly based on what actually closes. Over-engineered scoring models that nobody trusts are worse than a basic model that reps actually use.

The challenge is keeping scores fresh as new signals come in. Stale scores lead to stale prioritization. Data enrichment keeps your account data current so scoring models stay accurate.