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How Does Account Scoring Differ from Lead Scoring?

Lead scoring ranks individuals; account scoring prioritizes buying groups. Blend ICP fit, topic intent, and multi-contact engagement to decide which accounts get which plays—and when Sales should move.

Run ABM Smarter Optimize Lead Management

Lead scoring evaluates a single contact’s behaviors to determine follow-up priority for person-level outreach.
Account scoring aggregates signals across all contacts at the same company (plus intent & fit) to trigger account-level plays, routing, and SLAs. The result: fewer random touches, more coordinated motions, and cleaner handoffs to Sales with context.

Key Differences at a Glance

Unit of Measure — Lead scoring ranks people; account scoring ranks companies/buying groups.
Signals — Lead: opens/clicks/form fills. Account: aggregated web/email/ad/event/SDR signals + intent + ICP fit.
Activation — Lead: 1:1 follow-up. Account: stage-based ABM plays (1:Many → 1:Few → 1:1) with role-specific content.
Routing & SLAs — Lead: simple assignment. Account: score-band queues, alerts, buying-group handoffs, and coordinated cadences.
Measurement — Lead: MQL/SQL conversion. Account: meetings, opportunities, win rate, ACV, velocity by score band.
Data Quality — Account scoring requires identity stitching (domains, subsidiaries) and noise controls (employee traffic, generic pages).

From Individual Signals to Buying-Group Intelligence

Use this sequence to evolve from lead-first to account-first prioritization without losing person-level context.

Define → Model → Instrument → Activate → Route → Measure → Optimize

  • Define ICP & tiers: Align on A/B/C accounts, target roles, and outcomes (meetings, opps, expansion).
  • Model the score: Weight Fit (firmo/techno), Intent (topics, surge recency), Engagement (multi-contact behaviors). Add recency decay and caps.
  • Instrument identity: Stitch contacts to accounts (domains, subsidiaries), normalize UTM/taxonomy, and centralize events.
  • Activate plays: Map score bands to ABM motions, role-specific content, and SDR cadences.
  • Route with SLAs: Queue rules and alerts deliver buying-group context, contacts, talk tracks, and next best actions.
  • Measure by band: Track meetings, opp creation, win rate, ACV, velocity, and expansion by score band and tier.
  • Optimize monthly: Re-weight noisy signals, tune thresholds, and A/B test cadences & content.

Lead vs. Account Scoring: Capability Maturity Matrix

Capability Lead Scoring (From) Account Scoring (To) Owner Primary KPI
Signals Email/web actions by one person Aggregated signals across buying group + intent + fit Marketing Ops SQL Rate by Band
Identity Contact only Domain & subsidiary stitching; role coverage RevOps Meetings per Target Account
Activation 1:1 follow-up 1:Many/1:Few/1:1 plays aligned to score band ABM Leader Opportunity Creation Rate
Routing & SLAs Manual assignment Score-based queues, alerts, and cadences Sales Ops Speed-to-First-Touch
Optimization Set-and-forget weighting Monthly re-weighting & uplift tests by outcomes Rev Council Win Rate / Velocity

Client Snapshot: From Leads to Buying Groups

Shifting from lead-only to account scoring reduced busywork and increased meeting rate with target accounts. With score-triggered 1:Few plays and buying-group handoffs, the team created more qualified opportunities and shortened sales cycles.

Keep person-level scoring for tactics, but let account scoring drive prioritization—which accounts, when, and with what play.

Frequently Asked Questions

Can we run lead and account scoring together?
Yes. Use lead scoring to guide 1:1 outreach quality and account scoring to choose which accounts deserve coordinated plays and Sales activation.
What data do we need for account scoring?
Firmographics/technographics (fit), third-party and first-party intent (topics, surges), and aggregated engagement across contacts and channels, stitched by domain.
How do we prevent noise?
Down-weight generic pages, exclude internal traffic, cap excessive repeats, and require combination thresholds (fit + intent + engagement).
How do we prove impact?
Report meetings, opportunities, win rate, ACV, and velocity by score band vs. control/holdout accounts.
When should Sales engage?
When an account crosses a threshold (e.g., “Active Buying”), route with buying-group contacts, heatmap, talk tracks, and next best actions.

Turn Scores into Pipeline

We’ll design score bands, wire up signals, and align plays so Sales gets the right accounts at the right time.

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