Salesforce and Predictive Analytics: Redefining Customer Engagement Strategies

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James Smith

Abstract

In the era of data-driven decision-making, predictive analytics has become a transformative force in redefining how businesses engage with customers. By leveraging historical data, machine learning, and artificial intelligence, predictive analytics enables organizations to anticipate customer behaviors, preferences, and needs. Salesforce, as a leading cloud-based customer relationship management (CRM) platform, has integrated predictive analytics into its ecosystem through solutions like Einstein AI, Sales Cloud, Service Cloud, and Marketing Cloud. This paper explores the role of predictive analytics within Salesforce in reshaping customer engagement strategies. It examines how Salesforce’s predictive tools enhance personalization, improve sales forecasting, optimize service delivery, and drive marketing effectiveness. Furthermore, it highlights the challenges and opportunities of adopting predictive analytics in CRM, offering insights into how enterprises can use Salesforce to achieve customer-centric transformation and sustained competitive advantage.

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How to Cite
James Smith. (2025). Salesforce and Predictive Analytics: Redefining Customer Engagement Strategies. Pioneer Research Journal of Computing Science, 2(3), 65–72. Retrieved from http://prjcs.com/index.php/prjcs/article/view/102

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