At Mulytic Labs, enhancing strategy, Upgrading Customer Mix towards better profitability. A Telecom service provider in an emerging country had been suffering from lower profitability due to having 71% of its customers in the Low ARPU Band!
Customer Convenience
Sales Data
Forecasting Models
Stock Operations
23 Million Low ARPU customers had been segmented into 124 segments. Right products and offers had been designed for each segment as per its behaviour. Every month each customer had been tracked to monitor their ARPU movement.
By extracting more revenue from low ARPU customers, the result was a 37% increase in incremental revenue.
ARPU (Average Revenue Per User), CLV (Customer Lifetime Value), and NPS (Net Promoter Score).
Analyzing customer profiles built from customer data, transaction data, and geography, the segmentation engine categorizes customers based on their purchase frequency (from low to high) and ARPU (average revenue per user, from low to high), visually representing distinct customer segments.
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