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How Does Account Scoring Differ for SMB vs. Enterprise?

Calibrate scoring to selling motion and deal economics. In SMB, prioritize speed, verified intent, and automation. In enterprise, weight multi-threaded engagement, strategic fit, and expansion potential—then route by expected value.

Target Key Accounts Manage Leads Better

SMB scoring emphasizes propensity-to-act now—firmographic fit + verified intent + recent engagement—with aggressive time decay and simple routes. Enterprise scoring adds buying-committee breadth, account strategy fit (tech stack, initiatives, partners), and value weighting (ACV, margin, expansion)—with reason codes that trigger specific ABM plays.

What’s Different by Segment?

Signal mix — SMB: pricing pages, free trial, chat; Enterprise: RFP chatter, analyst content, partner referrals, exec outreach.
Time decay — SMB: decay in days; Enterprise: decay in weeks with persistence for long cycles.
Fit model — SMB: revenue/employee/industry basics; Enterprise: hierarchy, subsidiaries, tech graph, change events (M&A, leadership moves).
Committee coverage — SMB: 1–2 contacts ok; Enterprise: weight for multi-role engagement (econ + tech + users) and penalize single-threading.
Value weighting — SMB: list price × probability; Enterprise: ACV band × margin × expansion + risk adjustments.
Routing & SLAs — SMB: auto-assign to SDR with rapid SLA; Enterprise: route to named AE/specialist with sequence playbooks.

The SMB vs. Enterprise Scoring Playbook

Align the model and activation to your sales motion so scores lead to meetings, pipeline, and revenue.

Segment → Clean → Model → Calibrate → Activate → Route → Govern

  • Segment clearly: Define SMB vs. Enterprise by employees/revenue/territory; tag accounts and contacts.
  • Clean identity: Dedupe, normalize domains, map parent–child hierarchies; enrich tech stack and intent sources.
  • Model by motion: SMB = fit + verified intent + recent engagement × strong decay. Enterprise = fit + committee breadth + verified intent × ACV/margin/expansion.
  • Calibrate thresholds: Back-test each segment separately; publish reason codes (e.g., “Intent surge / CFO engaged / Tier-1 ICP”).
  • Activate in CRM/MAP: Expose score, segment, reasons, and next best action with task/alert automation.
  • Route to impact: SMB: auto-booking and SDR queues. Enterprise: ABM plays, exec alignment, and specialist overlays.
  • Govern monthly: Review precision@Top-N, meeting rate, pipeline per rep hour; retune weights and SLAs by segment.

Scoring Maturity Matrix by Segment

Capability SMB: From SMB: To Enterprise: From Enterprise: To Owner Primary KPI
Data Hygiene Basic domain match Clean account/contact pairs Flat accounts Parent–subsidiary graph + tech stack RevOps/Data Match Rate, Dupes %
Signal Strategy Email clicks Trial/pricing/chat + strong decay Ad hoc engagement Intent + analyst/partner + exec touches Marketing Ops Meetings/Top-N
Committee Coverage Single contact Buyer + user Champion-only Economic + technical + user roles Sales Ops Stage Conversion
Value Weighting Flat points ACV tiers × probability Opportunity-only ACV × margin × expansion potential RevOps + Finance Revenue per Rep Hour
Routing & SLAs Round-robin Auto-assign + instant tasks Generic queues Named AE + ABM sequences SDR/AE Leaders Speed-to-First-Meeting
Transparency Black box Reason codes in CRM Unclear next steps Play recommendations by reason Enablement Rep Adoption %

Client Snapshot: Dual-Motion Scoring

A SaaS company split models by segment: SMB scores prioritized trial velocity and pricing-page intent; Enterprise scores emphasized committee breadth and partner-sourced intent. Result: +28% SMB meetings from Top-200 accounts and +19% Enterprise win rate on targeted tiers. Explore proof points: Comcast Business · Broadridge

Tie each segment’s score to distinct plays and SLAs. Use The Loop™ to connect signals to stage-specific actions that create pipeline.

Frequently Asked Questions

Should we keep one global score?
Maintain a shared framework, but separate SMB and Enterprise weights/thresholds. Different cycles and signal patterns require different tuning.
What if we have mid-market?
Start with SMB/Enterprise split. If lift differs by 10–15%+ in a middle band, introduce a third model with blended decay and committee weights.
How do we prevent gaming?
Favor verified intent over vanity engagement, add negative signals (e.g., unsubscribes, bounced meetings), and audit source quality monthly.
How often should we recalibrate?
Monthly KPI review (meetings, Top-N lift) and quarterly re-baselining with Finance for ACV/margin/expansion bands.
What KPIs prove it’s working?
Precision@Top-N, meeting rate, speed-to-first-meeting, pipeline per rep hour, and revenue per rep hour—tracked separately by SMB and Enterprise.

Operationalize Segment-Specific Scoring

We’ll tune signals, weights, and routing for each motion—so reps work the accounts that move the forecast.

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