Lead Prioritization

In most companies, leads are often prioritized by the personal bias and the experience of the Sales Managers. As a consequence, high potential opportunities are being missed if the individual Sales Person does not deem this lead relevant. Connecting the dots based if a lead is worth pursuing or not is challenging.

Based on historical data of your Sales team as well as the actions that led to the lead, Machine Learning Models can predict the probability of a Sale for each lead, making lead prioritization a data driven decision.

Modulos AutoML enables marketers to include Machine Learning models in their lead analysis, making it easy and efficient to find the best operating model for their use case.