Customer Retention Analytics

How can we help? Suppose you’re a Sales Director, like Lisa…

Key Responsibilities

  • Keep existing customers
  • Increase customer lifetime value
  • Reduce at-risk populations and attrition

Top Needs for Retention Analysis

  • Understand why customers leave to know what problems to solve
  • Identify critical points in the customer journey that make or break relationships
  • Uncover the best prospects for cross-sell and up-sell

Typical Project Needs

  • Analyze customer behaviors to identify pain points
  • Create predictive models to determine issues likely to cause friction
  • Reuse customer data to discover who is best suited to new offers

How Beyond the Arc supports Sales Directors like Lisa

  • Replace guesses with data-driven insight about customers and sales
  • Discover likely causes for customer dissatisfaction
  • Identify key drivers to guide persuasive offers to increase retention and value

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Helping you increase customer retention

Salespeople have lots of ideas about why customers leave. Using data science to understand churn gives you more nuanced insight for delivering the right message to the right customer at the right time.

Data science translates ideas into data, tests hypotheses, and determines the most likely sources of dissatisfaction for each customer. You can then determine which drivers and business practices are best for certain customers, so you focus the right solutions and messaging that persuades them to stay. Much of that customer data can also be used to find customers who are ripe for accepting new offers.