Socioeconomic intelligence derived from recharge behavior, device tier, data consumption, and spending signals — enabling precision targeting by purchasing power. Real financial behavior. Not surveys.
Recharge frequency, value, and pattern as a robust proxy for disposable income — differentiating daily, weekly, and monthly rechargers by value tier.
Smartphone model as a wealth signal — premium, mid-range, and entry-level handset distribution by area.
Heavy vs light data users as digital affluence indicators — identifying high-data zones for premium service targeting.
Socioeconomic class mapping across all districts — A & B for premium, C–E for mass market and financial inclusion.
Mobile wallet transaction behavior as a financial activity signal — frequency and transaction size as credit propensity proxies.
How wealth distribution is changing over time by district — identifying rising affluence areas for long-term expansion planning.
70M+ profiles. 5 SEC tiers. District-level precision.