Case Study

Proactively Predicting High Value Subscribers

Proactively Predicting High Value Subscribers

HIGH VALUE ACQUISITION PROACTIVELY PREDICTING HIGH VALUE SUBSCRIBERS USING BEHAVIOUR PATTERNS IN: 3 7 15 Days Days Days CHURN TARGET DEFINITION The task is to identify which of the gross additions to the network would become High Value Acquisitions and Ultra High Value Acquisitions in the next 3 months of their lifetime in the network. This is done by analyzing their behavior in the first 3/ 7/ 15 days of joining the network. Incremental Revenue from existing Gross Adds Statistically predict which acquisitions would become High Value Acquisition (HVA) and Ultra-High Value Acquisition (UHVA) in next 3 months Which variable to select? Selection of 8 to 10 of ~ 400 variables There are multiple variables that are being captured for every user. The total count of variables against whic

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