How Lead Scoring Works

DecisionIQ’s lead scoring leverages machine learning and advanced data analytics to assign scores to your leads, determining their probability of conversion.

The process begins with the system analyzing historical data of your customers, including their purchase history, interactions with your brand, and behavior patterns. With this data, DecisionIQ trains a predictive model that identifies trends and significant factors contributing to conversions.

Once the model is trained, it’s applied to your current leads, evaluating them against the identified trends and factors. Each lead is then assigned a score representing their likelihood of becoming a customer.

This data-driven, automated approach to lead scoring allows your sales team to prioritize their efforts effectively, focusing on leads that are most likely to convert, and thus, optimizing your sales process for maximum efficiency and revenue generation.