B2B Account Scoring: How to Score and Prioritise Target Accounts for Outbound and ABM

B2B account scoring is the systematic process of ranking potential and existing customer accounts by their priority for sales and marketing investment. Account scores are typically composed of two dimensions: fit (how closely the account matches the ICP -- the firmographic, technographic, and behavioural attributes of your best customers) and intent (signals that the account is actively in a buying mode -- intent data, job postings, website visits, engagement with content). By combining fit and intent, account scoring creates a prioritised list that tells SDRs, AEs, and ABM marketers which accounts to focus on first and which to deprioritise until they show buying signals.

ICP fit scoring

ICP fit scoring assigns a score to each account based on how closely it matches the ideal customer profile. Common fit scoring attributes and their weights: industry/vertical (does the company operate in a vertical where you have proven ROI and case studies?); company size by employee count and revenue (are they within the size range of your most successful customers?); technology stack (do they use the technologies that your product integrates with or complements?); geography (is the company in your target market?); growth signals (is the company growing -- new hires, funding rounds, expansion announcements -- suggesting they are investing in the problem you solve?); and organisational signals (do they have the role or function that is the primary buyer for your product?). Fit scores can be calculated manually using a weighted scoring matrix, or automatically using data enrichment platforms (Clay, Apollo, Clearbit) that pull firmographic and technographic data and apply the scoring model at scale.

Intent scoring

Intent scoring identifies accounts that are actively researching or evaluating solutions in your category -- accounts with high intent are worth prioritising even if their ICP fit score is slightly lower, because they are in the market now. Intent signals used in B2B account scoring: third-party intent data (Bombora, G2 Buyer Intent, TechTarget) that tracks when an account's employees are consuming content on topics related to your product category; first-party website data (accounts whose employees have visited your pricing page, case studies page, or competitor comparison pages -- tracked by reverse IP tools like Clearbit Reveal, 6sense, or Demandbase); job posting signals (the account is hiring for roles that indicate investment in the problem you solve); news signals (funding rounds, leadership changes, product launches, or strategic announcements that create a buying window); and direct engagement signals (the prospect has attended a webinar, downloaded a resource, or engaged with ads).

Building a simple B2B account scoring model

1. 1.Define your ICP fit attributes: list 5-8 firmographic, technographic, and organisational attributes that distinguish your best customers from poor-fit customers. Assign a weight to each based on how predictive it is of purchase (e.g., industry 20%, company size 20%, technology stack 25%, growth stage 15%, geography 20%).
2. 2.Score each account on each attribute on a 0-3 scale and multiply by the weight to get the weighted fit score.
3. 3.Add intent signals: assign bonus points for each intent signal present (Bombora intent spike +20 points, G2 category page view +15 points, pricing page visit +25 points, job posting for a relevant role +10 points).
4. 4.Create tier bands: use the combined fit + intent score to create tiers -- Tier 1 (highest priority, immediate outreach, ABM treatment), Tier 2 (medium priority, standard outbound sequence), Tier 3 (low priority, marketing nurture until signals improve).
5. 5.Review and recalibrate quarterly: analyse whether Tier 1 accounts are converting to opportunities and closed-won at higher rates than Tier 2; adjust weights and thresholds based on actual conversion data.