Lead scoring: rule-based vs predictive

Lead scoring: rule-based vs predictive

Four reads on when a model beats a points table.

1️⃣ Why rules win first — a transparent points system you can debug beats a black box you can't, until volume justifies ML. Source: MarketingProfs.
2️⃣ Predictive scoring's data appetite — models need clean closed-won history; below a few hundred deals, they overfit. Via HubSpot blog.
3️⃣ Fit vs intent scoring — scoring who they are and what they're doing as two axes, not one number. Source: Reforge.
4️⃣ The negative-signal blind spot — most scoring only adds points; unsubscribes and stalls should subtract. Via Customer.io blog.

Skip if sales already trusts your handoffs. Essential if reps ignore the leads you flag.

That's the stack for this week. Forward to a teammate.