Lead scoring models degrade when their input data is inconsistent. If you're posting sporadically, your engagement data has gaps — a prospect might be highly interested but has had nothing to engage with for two weeks, so their score drops. False negatives are worse than no scoring at all, because they cause you to ignore your best prospects. Ghost keeps your content cadence consistent so your scoring model always has fresh engagement data to work with, producing reliable scores your team can trust.
The problem
Your lead scores are unreliable because your posting schedule is inconsistent. Scores fluctuate wildly — not because prospect interest changes, but because your content output does. Your team has stopped trusting the scores.
How Ghost solves this
Ghost's content scheduler maintains a steady posting cadence that generates consistent engagement data. Your lead scoring model receives reliable inputs, produces stable scores, and your team can confidently prioritise outreach based on the numbers.
Teams with consistent posting schedules on Ghost see 40% fewer false-negative lead scores compared to inconsistent posters.