Monetizing Mobile Data via Data Rewards
Haoran Yu, Ermin Wei, Randall A. Berry

TL;DR
This paper compares two data reward schemes for mobile operators, modeling their strategic interactions with users and advertisers, and finds that the optimal scheme depends on user utility and network capacity.
Contribution
It introduces a game-theoretic model to analyze and compare subscription-aware and unaware reward schemes in mobile data monetization.
Findings
SAR scheme increases subscriptions and data revenue.
SUR scheme boosts ad viewership and ad revenue.
Operator's optimal scheme depends on user utility and network capacity.
Abstract
Most mobile network operators generate revenues by directly charging users for data plan subscriptions. Some operators now also offer users data rewards to incentivize them to watch mobile ads, which enables the operators to collect payments from advertisers and create new revenue streams. In this work, we analyze and compare two data rewarding schemes: a Subscription-Aware Rewarding (SAR) scheme and a Subscription-Unaware Rewarding (SUR) scheme. Under the SAR scheme, only the subscribers of the operators' data plans are eligible for the rewards; under the SUR scheme, all users are eligible for the rewards (e.g., the users who do not subscribe to the data plans can still get SIM cards and receive data rewards by watching ads). We model the interactions among an operator, users, and advertisers by a two-stage Stackelberg game, and characterize their equilibrium strategies under both the…
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Taxonomy
TopicsICT Impact and Policies · Digital Platforms and Economics · Consumer Market Behavior and Pricing
