MECHANISMS FOR INCREASING SALES EFFICIENCY THROUGH CUSTOMER DATA ANALYSIS ON DIGITAL MARKETING PLATFORMS.
Keywords:
digital marketing, customer data analytics, sales efficiency, personalization, predictive modeling, Uzbekistan.Abstract
The rapid digitalization of global markets has transformed the way businesses interact with customers. Digital marketing platforms now serve as comprehensive ecosystems that integrate data analytics, artificial intelligence (AI), and behavioral modeling to optimize sales processes. This research investigates mechanisms that enhance sales efficiency through customer data analysis, focusing on analytical tools, predictive algorithms, and personalization strategies. The study employs a mixed-method approach using secondary data analysis and case-based examination of global and Uzbek enterprises. Results reveal that data-driven digital marketing can increase conversion rates by 30–45%, reduce customer acquisition costs by 25%, and boost long-term loyalty through predictive personalization. The paper concludes with a framework for developing customer-centric, analytics-based marketing ecosystems for emerging markets.
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