COMPREHENSIVE VISUALIZATION AND STATISTICAL MACHINE LEARNING MODELING OF CUSTOMER BEHAVIOR

Karimov Botirjon Ulug‘bekovich, Sariqulova Maftuna Abdujabborovna

Marketing · 2024-yil

Annotatsiya

The research explores how advanced data analytics can predict customer behaviors and support marketing strategies in the food industry, highlighting the struggles of a food company with ineffective past marketing efforts. By examining customer demographic and transactional data, it identifies patterns leading to predictive buying behavior. Utilizing the XGBoost algorithm, the study developed a model that accurately predicts customer responses to marketing tactics. The findings underscore the importance of targeted marketing for enhancing profitability and customer engagement, showcasing the impact of data-driven analytics in strategic marketing planning.

Maqola ma’lumotlari
MualliflarKarimov Botirjon Ulug‘bekovich, Sariqulova Maftuna Abdujabborovna
JurnalMarketing
Nashr sanasi2024-04-30
Son2
Betlar70-84
TilIngliz
DOI10.67668/mj/2024iss2/1641

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