Post by rahim on Feb 1, 2024 10:08:23 GMT
.In the following article we will explain to you how you can use predictive lead scoring to take a new approach to evaluating your leads and thereby sustainably improve your ROI.What is Lead Scoring?Lead scoring is a procedure based on a lead management process. To put it simply, a distinction is made between the willingness to buy of the respective leads. So-called “hot leads” tend to have a high willingness to buy, while “cold leads” tend to be less likely to do so.To do this, criteria are determined in advance (e.g. downloading a white paper) that are intended to determine how purchasing power a lead is.
These various criteria then result in a scale in which the DB to Data leads are classified. This determined value then shows which leads should be treated with priority because the probability of a deal is higher here.What is Predictive Lead Scoring?Predictive lead scoring goes one step further. Here the leads are evaluated based on data, which is why this variant stands out from the traditional lead evaluation method. Instead of self-imposed criteria for what a “good” lead is, you expand on these demographic and behavior-based.
Characteristics that are part of basic lead scoring and supplement them with additional data points from existing customer data.An algorithm continuously checks which variables were fulfilled by existing customers shortly before they converted to become a customer. Using these real, behavior-based evaluations of current customers, the variables of the lead scoring process can be defined more specifically.Gone are the days when you have to worry about which events really have more influence on lead scoring than others and should therefore be evaluated differently.
These various criteria then result in a scale in which the DB to Data leads are classified. This determined value then shows which leads should be treated with priority because the probability of a deal is higher here.What is Predictive Lead Scoring?Predictive lead scoring goes one step further. Here the leads are evaluated based on data, which is why this variant stands out from the traditional lead evaluation method. Instead of self-imposed criteria for what a “good” lead is, you expand on these demographic and behavior-based.
Characteristics that are part of basic lead scoring and supplement them with additional data points from existing customer data.An algorithm continuously checks which variables were fulfilled by existing customers shortly before they converted to become a customer. Using these real, behavior-based evaluations of current customers, the variables of the lead scoring process can be defined more specifically.Gone are the days when you have to worry about which events really have more influence on lead scoring than others and should therefore be evaluated differently.