Andrew Bonwick
Vice President of Product Development at Relm Insurance
Madhav Sheth
CEO of Ai+ Smartphone
Varun Kashyap & Sridevi Reddy
Co-Founders, Zithara.ai
Transforming Indian Offline Retail and Customer Engagement Using AI

Two of India’s largest telecom operators, Reliance Jio and Bharti Airtel, are offering Rs 11 prepaid data plans offering 10GB of high-speed data valid for one hour. It’s a move that, at first glance, appears like a small-value add-on for heavy data users. But a closer look reveals a more strategic shift one that could redefine how mobile data is priced, delivered, and consumed in India.
This is not just a product offering. It’s a pricing signal, and perhaps even a glimpse into Indian telecom’s next phase of monetisation: time-based, purpose-driven data consumption.
Also Read: Jio Data Packs with OTT Benefits
From Volume-Based to Intent-Driven
For over a decade, Indian telecom operators has operated on data pricing models tied to daily or monthly usage: 1.5GB/day, unlimited packs, and FUP-based pricing have dominated. But the Rs 11 hourly plan challenges this logic. Instead of selling data over time, telcos are now selling time with data.
This model works particularly well for modern digital behaviours:
1. A short HD video binge
2. Uploading content on the go
3. Temporary broadband backup during an outage
4. A last-minute software update
5. One-time high-speed data needs
Rather than commit to an entire day or larger packs, the user pays only for a targeted burst of usage.
The Business Case for Hourly Monetisation
Offering 10GB for Rs 11 may sound unsustainable, but the economics are more nuanced. These hourly packs allow Jio and Airtel to:
1. Monetise idle network capacity, especially during non-peak hours
2. Capture micro-revenue from infrequent data users
3. Engage Wi-Fi-first or hybrid users looking for quick mobile fallback options
4. Test user acceptance of modular, flexible pricing models
It’s a low-risk, high-feedback experiment and one that positions telcos to extract value at the margins without undermining ARPU from existing subscribers.