= Logit analysis in marketing
{wiki=Logit_analysis_in_marketing}
Logit analysis, also known as logistic regression, is a statistical method commonly used in marketing to model the relationship between a binary dependent variable and one or more independent variables. In marketing context, this analysis is particularly useful for predicting outcomes that can be categorized into two distinct classes, such as customer purchase behavior (buy vs. not buy), response to a marketing campaign (respond vs. not respond), or subscription to a service (subscribe vs. not subscribe).
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