Financial Analytics for Telecom: ARPU Decomposition and Network Capex ROI

Every telecom CFO is trying to answer the same three questions every quarter. Why is ARPU declining (or growing) — is it customer mix, plan mix, promotion drag, churn of high-value customers, or undeclared usage erosion. What's the actual ROI of the network capex program — are the new fiber passings producing the expected take rates and ARPU, or are they coming in slower and lower than the business case assumed. And what's the customer lifetime value of the new acquisitions — are they higher or lower quality than the existing base. The financial analytics that would answer these clearly almost never exist in usable form, because the data is scattered across the billing system, the customer master, the network inventory, the marketing campaign system, and the GL — and nobody has joined them with the discipline these questions require.

Telecom financial analytics done right starts from these three questions and builds the data model that answers them defensibly. ARPU decomposition by segment, plan, vintage, and the churn-adjusted view that distinguishes mix shift from underlying erosion. Network capex ROI that connects each build program to the take rates, ARPU, and contribution margin it actually delivered, with comparison to the business case that authorized the spend. Customer lifetime value with proper churn modeling and discount rate that survives finance scrutiny. Done this way, financial analytics changes the quality of CFO and board conversations. Done as static reports, the same questions get asked every quarter and never answered with confidence.