1.Analyze customer data (usage patterns, demographics, billing history) to identify trends and early warning signs of churn.
2.Develop and maintain reports and dashboards to track key performance indicators (KPIs) related to customer retention, such as churn rate, customer lifetime value (CLTV), and Net Promoter Score (NPS).
3.Utilize data analysis to uncover the root causes of customer churn, such as pricing dissatisfaction, service issues, or lack of product awareness.
4.Collaborate with the Customer Retention team to develop and test targeted retention campaigns based on data insights.
5.Recommend data-driven improvements to customer service processes, product offerings, and loyalty programs.
6.Stay informed about industry trends and competitor offerings to identify new retention opportunities.
7.Work with other departments, such as Marketing, Sales, and Product Development, to create a customer-centric approach to retention strategies.
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