Contact Scoring

Contact scoring is the practice of assigning points to individual people in your database based on who they are (fit: title, seniority, company profile) and what they do (behavior: pages visited, emails engaged, events attended, content consumed), so outreach and automation prioritize the right person at the right moment. It is the per-person layer of the scoring family — LEAD SCORING typically scores a person in a funnel stage toward sales-readiness, account scoring aggregates to the company, and BEHAVIORAL SCORING names the activity-weighted half of the math; contact scoring is the continuously updated rank on every human in the CRM.

A working model separates the two dimensions instead of mushing them. Fit is relatively static — does this person resemble your buyer (title, function, seniority, firmographic context) — and gates how much their behavior matters: a perfectly engaged student is still a student. Behavior is dynamic and decaying — points for pricing-page visits, demo requests, webinar attendance, reply-grade email engagement, with recency weighting and decay so last quarter's binge does not impersonate this week's intent (and negative scoring for the signals that mean goodbye: unsubscribes, role changes, competitors' domains). The craft rules mirror health-score discipline: backtest weights against contacts who actually converted rather than workshop intuition, keep the model explainable enough that sales trusts the number, and re-validate as content and journeys change. The payoff is in the wiring, not the score. Thresholds should trigger actions — routing to an owner inside the response-time window, alerts on surge behavior (the CFO suddenly active mid-deal), entry and exit of nurture segments — because a score that ranks a static list has organized the warehouse without shipping anything. In B2B buying-committee reality, contact scores also roll up: multiple rising contacts at one account is the surge that account-level views catch and per-contact views miss.

Contact scoring matters once the database outgrows human triage — when sales cannot call everyone and marketing cannot message everyone the same way without burning the list. It matters most in B2B motions with real buying committees and long considered cycles, where the moment of intent is brief and missable. The discipline is fit-gated behavior with decay, weights backtested against actual conversions, and every threshold wired to an owned action — the score is a routing system wearing a number.

Contact scoring grew from the lead-scoring machinery marketing-automation platforms built in the 2000s — Eloqua and Marketo made point models mainstream — and matured as databases, buying committees, and behavior streams outgrew the single-lead frame, pushing scoring down to the person and up to the account simultaneously.

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