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Evaluate the role of social media and sentiment analysis in CRM for understanding customer sentiments and preferences.
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- Discuss the role of data analytics in CRM and how it helps in understanding customer behavior.How do CRM analytics aid in predictive modeling for customer behaviors?Describe the concept of predictive analytics in CRM. How can predictive analytics be leveraged to anticipate customer behavior and improve marketing and sales strategies?
- Describe the use of analytics in CRM for customer behavior prediction and trend analysis. How can businesses make data-driven decisions using CRM analytics?What is the role of data mining and predictive analytics in analytical CRM? Provide examples of how businesses use these techniques to improve customer relationships.How do predictive analytics and data mining contribute to customer relationship management and sales forecasting in CRM?
- How can predictive analytics be applied in CRM to improve customer engagement and retention? Provide real-world examples of predictive modeling in CRM.Give Background, Statement of Problem, Purpose of Research, Significance of Research and atleast 3 Research Questions on the topic "The Social Media Impact on Customer Satisfaction at Heineken Saint Lucia"In what ways do marketing dashboards function as pivotal tools for discerning intricate trends, delineating subtle patterns, and uncovering nuanced correlations within customer behavior, thereby facilitating the optimization of marketing strategies and campaigns?