Predictive Modeling: RISK
Client is interested to determine customer RISK: "The probability that a member cancels their membership, or switches to another brand in next three months".
Data Points Collected and Analysis
Reunify looks at wide variety of data sources to determine RISK. By analyzing more than 150 signals from your CRM, external databases and the proprietary Reunify database, our platform applies novel machine learning techniques to predict customer churn, identify at-risk members, and target unidentified high-value segments.
Actionable Insights Provided
PULSE identifies high-risk customers and alerts you way in advance. With the right data on the at-risk members, you can re-engage genuinely with the most vital ones and have a face-to-face conversation before you lose their business permanently.
We mine wide variety of data
sources to discover hidden patterns
in your customers' behavior.
We have developed advanced statistical and artificial intelligence techniques to build personalized predictive models tailored to understand your customers' complex behavior. We comb through terabytes of data to discover such hidden patterns.