‘Marketing as a discipline is therefore made more unique by considering predictive analytics and concluding facts. ’
The case with the predictive analytics model here is that it may be a great help in the process of identifying quality leads that involves the process of using historical data to determine which of the variables have the highest correlation with the number of customers converted. By identifying these leads, different businesses can ensure they achieve optimum marketing endeavors and, thus profiting from better lead generation ratios.
Lead scoring based on the principles of predictive analytics is the definition of the fact, which customers are ideal for working and the construction of a simple lead score based on these facts.
Essentially, while lead generation is the activity of acquiring the contact information of prospective buyers, lead scoring models are primary components of the process that assist businesses in sorting the leads. In the use of predictive analytics, it is possible to ascertain the scoring models of the leads that are likely to deliver, and therefore, these models are likely to be good and quite effective.