Treating every lead the same is the fastest way to waste both marketing budget and sales time. Sales works the newest lead instead of the best one; marketing nurtures everyone with the same sequence; and the result is a pipeline where conversion sits at 1-2% and both teams blame each other. Lead scoring replaces opinion with a number, and nurture streams route each number to the right treatment.

Why scoring: define what "ready to buy" means

A score is a prediction, not a verdict. Before assigning points, write down what a sales-ready lead looks like in your market - which job titles, company sizes, page visits, and content downloads signal buying intent. That definition becomes your MQL (marketing-qualified lead) threshold, and it should be agreed with sales before the first point is awarded.

B2B model: fit plus behavior

For B2B, score two dimensions separately, then combine them:

  • Fit (0-50) - industry match +15, target company size +10, decision-maker title +25, correct geography +5.
  • Behavior (0-50) - site visit +1-5, pricing page +15, demo request +30, comparison report download +10, email click +2, webinar attendance +10.

Cap behavioral points per day so a single browsing session cannot spike the score, and let the threshold live at 70+ for MQL. A CFO of a target-size company who requests a demo should score higher than an intern who reads your blog daily - this model makes that automatic.

B2C model: intent-weighted purchase signals

B2C scoring should mirror the purchase funnel:

  • Newsletter signup +10, product view +5, add-to-cart +20, checkout start +25, abandoned checkout +30.
  • Category affinity multipliers: viewing high-margin categories adds 10-15% on top.
  • Repeated views of the same product over 7 days add +15 to capture consideration.

Feed the score into a CDP or CRM rule that decides the next message - a shopper at 60+ gets the cart-abandonment flow with a discount cap; one at 25-40 gets education instead of discounts.

Apply score decay so freshness wins

Interest decays, and scores should too. Apply a weekly decay of 5-10% to behavioral points so a lead who went quiet last quarter does not look hotter than one who acted this week. Decay stops the sales team from chasing stale scores and keeps nurturing streams accurate.

Route nurture streams by score band

Rather than one sequence for everyone, run three:

  • Cold (0-40) - low-frequency education, case studies, and brand content every 14 days.
  • Warm (41-70) - value-focused content, social proof, and a soft meeting invite; escalate frequency to weekly.
  • Hot (71+) - route to sales within one business day; marketing sends one supporting email (pricing FAQ, references) timed around the first call.

A well-run nurture program lifts qualified lead volume 50-100% versus broadcast nurture, because every message is relevant to where the lead actually is.

Add a service-level agreement to the score

Scoring only pays off if sales acts on it fast. Define the SLA in writing: hot leads contacted within one business day, and a "not ready" outcome that returns the lead to nurture after 14 days of silence. Review score weights monthly against won-lost data - the model drifts as your market and offer change.

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