Purchase Behavior Analysis of Travel Insurance

Zixuan Chen; Hanjin Lin; Ziyan Gao

doi:10.54254/2754-1169/2025.BL28712

Advances in Economics, Management and Political SciencesOpen access

Purchase Behavior Analysis of Travel Insurance

Research Article

Open Access

Purchase Behavior Analysis of Travel Insurance

Zixuan Chen ^1* Hanjin Lin ², Ziyan Gao ³

¹ Jinan University

² Ulink College

³ Xi’an Gaoxin No.1 High School

^*Corresponding author: chenzixuan.jnu@gmail.com

Published on 28 October 2025

AEMPS Vol.233

ISSN (Print): 2754-1177

ISSN (Online): 2754-1169

ISBN (Print): 978-1-80590-485-4

ISBN (Online): 978-1-80590-486-1

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Abstract

Understanding consumers' purchasing behavior in travel insurance is necessary to segment customers further and maximize targeted marketing for insurance companies. This research intends to develop a predictive classification model to classify those who would purchase travel insurance so that insurers can better utilize their resources and reduce customer acquisition costs. Using a real dataset downloaded from Kaggle, the research aims to apply machine learning models to identify purchasing intention. The research uses some of the classification techniques in the form of Logistic Regression, Decision Tree, and Random Forest, and subsequently with the Synthetic Minority Over-Sampling Technique (SMOTE) and Grid Search for model improvement. The experiment result indicates that the model using Random Forest has the best predictive accuracy. Specifically, the four most influential features that impact the prediction of travel insurance buying are Annual Income, Family Members, Age, and EverTravelledAbroad, respectively. The findings provide valuable information regarding behavioral traits and demographic variables influencing travel insurance consumption behavior. Through the models, insurers can target high-probability customers better and hence make outreach more efficient and effective. The research highlights the advantages of evidence-based approaches towards enabling more strategic and fairer marketing processes in the travel insurance industry.

Keywords:

Travel insurance, Purchase behavior, Machine learning

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Cite this article

Chen,Z.;Lin,H.;Gao,Z. (2025). Purchase Behavior Analysis of Travel Insurance. Advances in Economics, Management and Political Sciences,233,18-30.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of ICFTBA 2025 Symposium: Data-Driven Decision Making in Business and Economics

ISBN: 978-1-80590-485-4(Print) / 978-1-80590-486-1(Online)

Editor: Lukášak Varti

Conference website: https://2025.icftba.org/Bratislava.html

Conference date: 12 December 2025

Series: Advances in Economics, Management and Political Sciences

Volume number: Vol.233

ISSN: 2754-1169(Print) / 2754-1177(Online)

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