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How Do You Define Scoring Criteria for Accounts?

Account scoring turns messy buying signals into a repeatable, auditable way to prioritize the right accounts, align Sales + Marketing, and trigger the next best action across ABM plays—without guessing.

Start Your ABM Playbook Align Sales & Mktg

Define account scoring criteria by combining Fit (who the account is), Intent (what they are researching), and Engagement (how they interact with you) into a single, governed model that produces clear outcomes: prioritize accounts, route them to the right team, and trigger ABM plays and follow-up SLAs. The strongest models use weighted signals, apply minimum thresholds (e.g., ICP + committee coverage), and include decay and recency so yesterday’s activity doesn’t outrank today’s buying motion.

The 6 Signal Categories That Make Account Scoring Work

ICP Fit — firmographics (industry, size, geography), technographics, and strategic alignment (use case, maturity, compliance constraints).
Buying Committee Coverage — number of relevant personas engaged (economic buyer, champion, IT/security, finance/procurement).
Intent & Research — topic intent (category keywords, competitor comparisons), surging behavior, and product/problem urgency indicators.
Engagement Quality — high-value actions (pricing, demo, RFP pages, technical docs) weighted above low-value actions (blog scrolls).
Pipeline Reality — open opportunities, stage velocity, stalled deals, win/loss history, and expansion potential.
Operational Readiness — ability to execute: SLA ownership, routing rules, data hygiene, and play activation (or the score becomes “a number with no action”).

A Practical Framework to Define Account Scoring Criteria

Use this sequence to build a scoring model that Sales trusts, Marketing can activate, and RevOps can govern. The output should be one score plus a reason code (why the account scored that way).

Define → Weight → Threshold → Test → Operationalize → Govern

  • Define the decision your score powers: “Which accounts get 1:1 outreach this week?” “Which accounts enter a 1:few play?” “Which accounts get recycled?”
  • Choose your pillars: Fit + Intent + Engagement (recommended) and optionally add Pipeline/Expansion for existing customers or active opps.
  • Set minimum thresholds (gates): e.g., ICP fit must be “A or B” and at least 2 committee roles identified before the account can become “Tier 1.”
  • Weight signals by revenue outcomes: Give more points to signals that correlate with stage progression and wins (not vanity activity).
  • Apply recency & decay: A pricing-page visit last week should outscore five blog reads from six months ago.
  • Attach actions to bands: e.g., 80–100 = Sales + ABM 1:1 play; 60–79 = 1:few play; 40–59 = nurture; <40 = monitor.
  • Test with closed-won/closed-lost: Back-test the model on historical accounts and adjust weights until it separates winners from noise.
  • Operationalize in workflow: routing, SLAs, alerts, tasks, and play triggers. If the score doesn’t change behavior, it’s not a scoring model—it’s a report.
  • Govern monthly: track score-to-meeting rate, stage velocity lift, and win-rate lift; tune thresholds each quarter.

Account Scoring Criteria Matrix (Example)

Signal Area What to Measure How to Score Common Pitfall Action Trigger
ICP Fit Industry, size, region, tech stack, constraints Tier A/B/C with weights; exclude non-ICP Too broad ICP Tier A = eligible for 1:1/1:few
Committee Coverage Engaged roles, missing roles, champion strength Points per role engaged; bonus for EB + champion Scoring only one contact Missing EB = enablement + targeted content
Intent Category/competitor topics, surges, urgency High points for late-stage topics; recency multiplier Treating all intent equally Surge = ABM activation + SDR alert
Engagement Pricing/demo/RFP, webinars, product docs Weight high-value assets > low-value content Overweighting clicks Demo intent = meeting SLA
Pipeline Open opp stage, velocity, stall risk Add “pipeline boost” + stall penalty Double-counting signals Stall risk = exec touch + nurture
Expansion Product usage, adoption, renewal timing Renewal window + adoption + intent topics Ignoring CS data 90 days to renewal = expansion play

Operational Reality Check: The Score Must Trigger Work

The highest-performing teams pair account scoring with clear tiers, routing rules, and play activation. If Sales can’t see why an account scored high, adoption drops—and so does ROI. Build “reason codes” like: High Intent + Tier A Fit, Committee Engaged + Pricing Activity, or Renewal Window + Usage Dip.

To keep scoring aligned with buyer reality, map your criteria to a consistent journey model and revisit weights as markets shift. A guided framework helps teams keep signals, plays, and handoffs coordinated across functions.

Frequently Asked Questions about Account Scoring Criteria

What’s the difference between lead scoring and account scoring?
Lead scoring ranks individuals. Account scoring aggregates signals across contacts, intent, and pipeline to prioritize the buying committee and the account’s probability of progressing.
What criteria matter most for account scoring?
A balanced model uses ICP fit, intent signals, engagement quality, and buying committee coverage. Pipeline and expansion signals are added when you’re scoring existing customers or active opportunities.
How do you prevent “vanity engagement” from inflating scores?
Weight high-intent actions (pricing, demo, technical docs) far above low-intent actions (basic content clicks). Add decay so old activity loses influence over time.
How should we set thresholds for tiers (Tier 1, Tier 2, Tier 3)?
Start with gates: ICP fit and committee coverage. Then use score bands tied to capacity and plays (1:1, 1:few, 1:many). Validate bands by back-testing against closed-won data.
Who should own the account scoring model?
RevOps should govern and measure it. Marketing and Sales co-design the criteria and actions. Everyone aligns on SLAs so the score triggers consistent follow-up.
How often should we update account scoring criteria?
Review performance monthly (score-to-meeting, stage velocity, win rate). Recalibrate weights quarterly or when ICP, offerings, or market conditions change.

Make Account Scoring Actionable, Not Theoretical

We’ll define scoring criteria, align tiers to ABM plays, and operationalize routing + SLAs so your teams act on the score—every time.

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