Analyzing Travel Service Costs and Customer Behavior Through ANOVA and Chi-Square Tests
DOI:
https://doi.org/10.5281/zenodo.14034082Keywords:
Customer behavior, loyalty status, ANOVA, correlation, service managementAbstract
This work analyzes the impact of variables such as loyalty status, number of travelers, average rating, and expected travel duration on customer behavior using statistical techniques. Descriptive analysis, correlation tests, and ANOVA were employed to identify patterns, associations, and significant differences across customer groups (Gold, Regular, Silver). The findings reveal statistically significant differences in customer behavior based on loyalty status, suggesting that these variables influence service experience and customer retention. The results offer insights for tailoring customer management strategies to optimize loyalty and service.
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Copyright (c) 2024 Daniel Sanin-Villa, Cristian Mateo Hernandez, Adrian Felipe Martinez
This work is licensed under a Creative Commons Attribution 4.0 International License.