Segmentation and personalization in digital marketing through business intelligence
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Abstract
This paper examines how Business Intelligence (BI) enables more accurate segmentation and effective personalization in digital marketing in the retail sector in Ecuador. The research focuses on three main areas: advanced segmentation based on behaviors and demographics, personalization of content and offers, and evaluation of the impact of personalization on conversions and customer loyalty.
By analyzing 100 retail companies actively using BI tools, significant relationships were found between BI adoption and the dependent variables. The results show that BI adoption has a positive and significant impact on segmentation accuracy and personalization effectiveness. Companies using BI are able to create detailed consumer profiles, enabling more targeted segmentation and personalized marketing strategies that improve the relevance of content and offers.
It also shows that BI implementation has a significant impact on conversion rate and customer loyalty. Although a negative relationship with conversion rate was observed, BI proved valuable in improving customer loyalty by providing personalized and relevant experiences. These findings highlight the importance of Business Intelligence in modern digital marketing in the Ecuadorian retail sector and suggest that companies investing in BI tools can gain significant competitive advantages.
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