Convert CS Strategy From Guesswork To Your Best Work

Learn From Previous Client Outcomes

In post-sales, assessing and maintaining customer health can be a major challenge due to inefficiencies and biases in current methods. Traditional techniques for scoring customer health, such as relying on intuition or pre-set rules, often result in inaccuracies that can lead to unexpected customer losses. Additionally, it can be difficult to determine the most effective actions to take in order to retain customers. Root Analysis solves this by utilizing AI to provide you with unbiased, data-driven insights that can help identify risk and improve customer retention.

The Value

  • Identify Key Factors Impacting Your Business Outcomes
  • Avoid surprise churns or unexpected customer events
  • Improving Customer Retention with Data-Driven Decisions

How It Works

Root Analysis is a powerful tool that uses predictive modeling to pinpoint the specific factors that are affecting your business outcomes. These factors can include measures, key performance indicators (KPIs), and data sources that impact outcomes such as customer churn, renewal rates, win/loss ratios, customer satisfaction, and more. With Root Analysis, you can gain valuable insights that can help you make data-driven decisions and autogenerate the dashboards and health scorecard you need.