Understanding the effects of marketing variables is one of the most important tasks for corporate marketing managers. This study introduces the Beta-Logistic Model as an alternative approach and presents its application process in detail as an attempt to systematically measure the effects of marketing variables. Compared to existing logit models that focus primarily on analyzing the effects of marketing variables on market share, this model enables comprehensive analysis encompassing the effects of marketing variables on market share, brand loyalty, and the competitive structure of the market, thereby providing more meaningful information. Additionally, this model has the advantages of fewer data constraints compared to the logit model and appropriately reflecting consumer heterogeneity within the model. For empirical analysis, the model was applied using purchase data for casual shoes and color televisions—durable or semi-durable goods with low purchase frequency—and the analytical results provide meaningful conclusions for corporate marketing managers.