With the rapid development of e-commerce, the scale of e-commerce consumers and online transaction volume has increased rapidly. Before e-commerce, shopping was entirely based on in-person interactions. Conventional methods of purchasing and selling were followed due to the relatively low requirements of consumers. However, due to the rapid development of Internet technology, more and more consumers choose purchase online. This study proposes to review Logistic Regression model on customers’ purchase likelihood analysis and prediction. Also, depending on the different advantages and disadvantages of Logistic Regression model, this study aims at building predict models which is suitable for the Wiggle Ltd. Finally, it will screen out the relationships between variables for recommendation and further evaluation.

Jiayi Gu. Predict a UK Customer’s Likelihood of Making an Online-purchase Based on the Logistic Regression Model. International Journal of New Developments in Engineering and Society (2022) Vol.6, Issue 1: 20-27. https://doi.org/10.25236/IJNDES.2022.060104.

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