Scoring models often fail to reflect actual conversion predictors.
Creates or improves scoring models based on past lead-to-opportunity data.
Analyze current scoring model effectiveness.
Adjust scoring parameters based on data.
Implement updated scoring system.
Review our current MQL scoring model. Suggest new rules based on historical lead-to-SQL performance.