Overview
Logistic regression models the relationship between a binary1 outcome (e.g., customer or non-customer, or nearly anything with a yes or no interpretation) and, typically, several explanatory variables.2 It can identify and estimate the effects of actions to increase or decrease the size or proportion of the group of paramount interest. It can also predict each case's probability of belonging to one group rather than another.
Many academic researchers consider it "the standard way to model binary outcomes" (Gelman & Hill, 2009, p. 79), possibly "dominating all other methods in both the social and biomedical sciences"...