Churn Prevention

In the competitive telecommunications and media/entertainment industries, retaining customers is paramount for sustaining growth and profitability. However, traditional methods of predicting churn often lack the precision and scalability needed to address the dynamic nature of customer behavior and retention.

DATA STRATEGY SESSION
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Churn Prevention

In the competitive telecommunications and media/entertainment industries, retaining customers is paramount for sustaining growth and profitability. However, traditional methods of predicting churn often lack the precision and scalability needed to address the dynamic nature of customer behavior and retention.
DATA STRATEGY SESSION
DOWNLOAD PDF
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Our Solution
At DAS42, our primary focus is on preventing churn through advanced data and analytics frameworks leveraging Snowpark via Snowflake Data Cloud. Our aim is to forecast churn accurately, empowering us to implement proactive retention strategies. To achieve this, we analyze the following data points in depth:
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Predictive churn analysis for early identification
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Actionable insights from customer behavior
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Utilization of AI and ML models for precise forecasts and intervention strategies
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The Results
By leveraging a model designed specifically for your organization you’re able to achieve higher predictive accuracy, resulting in increased actionable insights. With the ultimate goal of retaining current customers, this model can:
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Maintain revenue streams
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Increase customer lifetime value (LTV)
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Decrease customer acquisition cost (CAC)
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Improve customer satisfaction (CSAT) and net promoter scores (NPS) with proactive customer care
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Key Opportunities for
Organizations
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Personalization can reduce churn by up to 20%
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Existing customers are 50% more likely to try new products and spend 31% more than new customers
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Existing customers are 50% more likely to try new products and spend 31% more than new customers
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Increasing customer retention by 5% can lead to profits growing by 25% to 95% over a period of time
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DAS42 allows us to offer our customers far greater visibility into their network while enabling us to achieve scalable, cost-effective business practices. They provide deep expertise, a unique approach, and agility in execution, resulting in real business value from BI analytics.
Jon Moss
AVP of Edge Software Engineering Zayo
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