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The Role of Data Analytics in Enhancing Customer Experience: A Mixed-Methods Study of E-Commerce Platforms

Abstract

Data analytics role in enhancing customer experience across multiple businesses is examined. Presently, data analytics help in segmenting the customers related to their behaviors and preferences. Hence, there are various factors included such as purchase history, level of income, and characteristics. For instance, it helps in knowing customers’ interests and recommending products based on their interests. The purchase history helps in tracking the needs of customers and enhances the product catalogs. It helps to analyze individual preferences and businesses can develop personalized products. Moreover, it helps in identifying opportunities to cross-sell and enhance customer experience. It also helps in boosting the preferences and repurchase rates.

The organization of data collection involves data cleaning for effective management. Furthermore, after structuring and cleaning the data, it follows the transformation process. For example, it considers bounce rates, click-through rates, and visits to websites. Data analytics covers all the insights related to the implementation of data and products. Data analytics can help customer experience with the help of personalized experience, needs of users, and guidance. Besides, data analytics helps with the analysis of feedback and provides valuable insights. The optimization of feedback from various sources such as social media platforms, servers, websites, and surveys.

Additionally, the study explores identifying areas for enhancing customer experience. With the use of natural language processing and sentimental analysis provide related feedback.  Data analytics can enhance the prediction of risk for customers. Moreover, the implementation of retention strategies and guidelines to prevent them. It also helps with the analysis of high-value customers based on different segments. Likewise, it focuses on optimizing acquisition and enhanced retention strategies. Furthermore, data analytics can continue to evolve in terms of long-term growth and customer loyalty. In summary, it can adapt to data-driven strategies enhancing the market to a greater extent.

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