Topic
Lead Scoring
4 posts
Clay's AI scoring is still rules-based. Here's what's missing.
Prompt-based lead scoring in Clay workflows is still rules-based, just written in natural language. Here's how a predictive API endpoint upgrades the scoring step from subjective to statistical.
Read postThe 7 CRM fields that actually predict B2B lead conversion
Feature importance analysis on 16,600 real B2B leads reveals which CRM fields drive conversion predictions. Spoiler: it's not page views or email opens.
Read postHow a B2B software company used ML scoring to fix its pipeline
A B2B software company replaced its traditional lead scoring with a Gradient Boosting model trained on 4 years of CRM data. 98.39% accuracy. Here's what happened.
Read postWhy rules-based lead scoring fails, and what to replace it with
Rules-based scoring is an opinion in a spreadsheet. ML scoring is what your data actually shows. A case study from a B2B software company with 16,600 lead records explains why.
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