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How Do You Define Scoring Criteria for Accounts?

Create a single, governed rubric for ranking accounts by fit, intent, engagement, and product signals. Clear criteria power ABM focus, lead routing, and buying-group plays—so your best opportunities move first.

Build ABM Scoring Model Operationalize Lead Scoring

Define account scoring criteria by first aligning on your Ideal Customer Profile (ICP) and motions (new vs. expand). Weight four signal groups—Fit (firmographics, technographics), Intent (topic surges, competitor research), Engagement (depth, recency, buying-group coverage), and Product (PQLs, usage, install base)—then convert the weighted sum into a Score + Tier that drives routing, SLAs, and stage-based plays.

Foundational Criteria to Include

ICP Fit — Industry, revenue/employee band, region, tech stack, compliance needs, and disqualifiers (negative ICP).
Buying Intent — Topic surge, review site activity, keyword clusters, competitor comparisons, and event attendance.
First-Party Engagement — High-value pages, repeat sessions, content consumption depth, demo/trial requests, and multi-contact activity.
Buying-Group Coverage — Roles reached (Champion, EB, InfoSec, Proc) and seniority mix across the account.
Product & Customer Signals — PQLs, MAU/feature adoption, expansion whitespace, contracts/renewals, support sentiment.
Timing & Risk — Active initiatives, budget cycles, seasonality, vendor lock-in, and risk flags (churn, insolvency).

The Account Scoring Criteria Playbook

Follow this sequence to design, test, and govern criteria that sales, SDR, and marketing trust.

Align → Select → Weight → Normalize → Publish → Orchestrate → Govern

  • Align: Document ICP tiers and negative ICP; separate new logo vs. expansion motions.
  • Select: Choose measurable inputs for Fit, Intent, Engagement, Product; define inclusion/exclusion rules.
  • Weight: Assign segment-specific weights; cap any single signal to avoid overfitting.
  • Normalize: Standardize scales (e.g., 0–100) and decay engagement by time to emphasize recency.
  • Publish: Write Account Score and Tier (1–3) to CRM/MAP; expose history for analytics.
  • Orchestrate: Route Tier-1 to fast-lane SLAs; launch stage-based plays for targeted roles.
  • Govern: Re-rank weekly, A/B weights quarterly, and reallocate spend based on lift.

Account Scoring Criteria Maturity Matrix

Capability From (Ad Hoc) To (Operationalized) Owner Primary KPI
ICP Definition Loose personas Tiered ICP with negative criteria and hierarchy rules Product Marketing / RevOps SQL Rate by Tier
Signal Catalog Untracked behaviors Fit/Intent/Engagement/Product inputs with clear owners Marketing Ops Data Completeness %
Weighting Logic One-size points Segmented weights + decay + caps Analytics / RevOps Lift in Win Rate
Lead→Account Matching Manual mapping Automated domain + hierarchy matching with dedupe Sales Ops Routing Accuracy
Activation & SLAs Ad hoc follow-up Tier-based routing, timers, and buying-group cadences SDR / AE Speed-to-First-Touch
Governance Occasional tweaks Weekly re-rank, quarterly back-tests, budget shifts Revenue Council CAC Payback, ROMI

Client Snapshot: Criteria that Close

After switching to a Fit+Intent+Engagement+Product rubric with tiered SLAs, a B2B provider lifted Tier-1 meeting rate, shortened cycle time, and expanded ACV via multithreading—without additional media spend. Explore results: Comcast Business · Broadridge

Map journey stages with The Loop™ and connect scoring criteria to ABM priorities and lead management for consistent execution.

Frequently Asked Questions about Account Scoring Criteria

How do we choose which signals matter most?
Start with expert priors from top wins and losses, then back-test candidate signals for lift on SQL rate, cycle time, and win rate. Keep what moves outcomes; drop vanity inputs.
Should criteria differ by segment?
Yes. Enterprise, mid-market, and SMB show different buying patterns—apply segment-specific weights and thresholds, especially for engagement recency and product signals.
How do we prevent old engagement from inflating scores?
Use time decay (e.g., 50% reduction every 30 days without activity) and cap points per signal to avoid bias from large content binges.
What’s the best way to activate criteria in CRM/MAP?
Publish a normalized 0–100 Account Score and a Tier (1–3). Route Tier-1 to fast-lane SLAs; launch buying-group sequences; show history so reps see why a score changed.
Which KPIs prove our criteria are working?
Tier-1 share of pipeline and revenue, stage conversion by tier, time-to-first-touch, ACV, win rate, CAC, payback, and multithreading percentage.

Turn Criteria into Consistent Wins

We’ll help you codify Fit/Intent/Engagement/Product criteria, publish scores and tiers, and activate SLAs and plays that move real pipeline.

Build ABM Scoring Model Operationalize Lead Scoring
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Account-Based Marketing Lead Management The Loop™ Guide Essential Tools for Revenue Marketing

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