Data Analytics: Using Data Science to Predict Client Churn

Unveil client behavior and predict their retention using these data analysis techniques.

There are three types of data analysis to predict client churn and behavior: RFM analysis, client segmentation, and cohort analysis.
Firms are increasingly focusing on client value and adopting tools such as practice management systems and CRM systems like Salesforce to understand client behavior, retention, and referral generation for marketing and business development.
Predictive analytics and prescriptive analytics are gaining popularity along with AI models and machine learning techniques to gain deeper insights, identify patterns, and make predictions that can guide decision-making and drive value for firms.