Скачать с ютуб Analyzing consumer behavior through Big Data toenhance retail marketing strategies в хорошем качестве

Analyzing consumer behavior through Big Data toenhance retail marketing strategies

Area: Big Data Analytics Topic: Analyzing consumer behavior through Big Data to enhance retail marketing strategies. Introduction: Understanding consumer behavior is crucial for effective retail marketing. Big data has revolutionized this process, offering deeper insights into customer preferences and behaviors from online transactions, social media, and other digital interactions. Big data analytics enables retailers to process large volumes of information, providing a comprehensive view of their customers. By integrating data from various sources, businesses can better segment audiences, personalize marketing, and predict buying behaviors, leading to improved engagement, retention, and sales. This paper explores leveraging big data for consumer behavior analysis, from data collection to advanced analytics. It also addresses challenges like data privacy, quality, and scalability. Ultimately, big data analytics allows retailers to enhance their marketing strategies, boosting revenue and customer loyalty through personalized experiences. Problem Identification: 1. Retailers struggle to understand consumer behavior due to the vast and complex data generated from multiple channels. 2. Traditional analysis methods are insufficient for handling real-time insights, personalizing marketing, and predicting trends. 3. This project aims to utilize big data analytics to address these challenges, enabling more effective decision-making, personalized marketing strategies, and improved customer experiences in retail.