Logistic What factors should you take into account when using logistic regression for your eCommerce business?

Logistic regression is a statistical technique that can be used to model various outcomes. When applied to eCommerce, it can be used to predict customer behavior, such as whether or not a customer will make a purchase. There are a number of factors that should be taken into account when using logistic regression for eCommerce.

First, the data set must be large enough to produce reliable results. Second, the data must be of good quality, meaning that it accurately reflects the reality of customer behavior. Third, the data should be recent, as customer behavior can change over time.

Fourth, the data should be evenly distributed, meaning that there should be a similar number of buyers and non-buyers in the data set. Finally, the data should be representative of the overall population of customers. If these factors are not taken into account, the results of logistic regression may not be accurate and could lead to poor decision-making.