Never lose a customer, predict early
Customer acquisition costs are high and losing even one customer can make a huge difference. Leverage the customer data you already have, can identify behavior patterns of customers who are likely to churn and reduce customer churn
Early identification
Customer acquisition costs are high and losing even one customer can make a huge difference. Leverage the customer data you already have, can identify behavior patterns of customers who are likely to churn and reduce customer churn
Targeted actions (strategies)
Targeted actions (strategies) Reducing churn with targeted proactive retention technique involves identifying focus areas for customer churn and then quantifying the impact of churn related benefits in understanding why customers choose to leave.
Data Set
Maximizing customer lifetime value by reducing churn
The client is a leading global telecom company operating in 16 countries with over 400 million customers and revenue market share of more than 30%. They are developing world- class infrastructure to introduce newer and smarter technologies, making both retail and enterprise customers future ready with innovative offerings
Insights
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