Predictive Lead Scoring or How to Make Accurate Sales & Marketing Decisions
A sales team has to prioritize to find the “best” customers quickly and save the “less likely” ones for last. However, the traditional scoring method is risky since it’s not immune to human errors, data losses, and inaccuracy of counting in general. So, modern companies prefer to adopt AI predictive scoring – an investment in the ability to understand their customers, products, and services by leveraging data-driven models and scoring indexes.
In this article, we’re going to discuss the benefits and limitations of predictive lead scoring, important historical data needed to build a reliable scoring model and review a lead scoring tool called Scoring Machine.