Lock Screen Ad System with Dynamic Bitrate and Reward Tracking
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Solution Overview
Problem
Users tend to skip or avoid ads on mobile devices, leading to inefficiencies in ad engagement and data usage, as existing methods fail to incentivize users effectively beyond watching videos and do not consider data conservation.
Innovation Solution
An improved mobile ad system that offers users points or cash for viewing ads, allowing them to redeem rewards, with ads displayed on a lock screen and optional viewing via Wi-Fi to conserve data, featuring a mobile ad app that tracks user behavior and prevents fraudulent engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If ads are made longer to improve engagement, then ad viewing duration increases, but data consumption increases and users are more likely to skip or close ads
Solution Approach 1:
The ad system dynamically adjusts video quality based on network conditions and user preferences. The mobile device can stream ads at variable bitrates, allowing longer ad content to be delivered efficiently without consuming excessive data, thus resolving the contradiction between ad duration and data consumption
Solution Approach 2:
The system changes the quality parameter of video streaming based on available data resources. By adjusting bitrate and resolution dynamically, the system enables users to watch longer ads while conserving data plan resources, preventing unnecessary data consumption that would lead to ad closure
2Loss of substance
If ads are shortened to reduce data usage, then data consumption decreases, but user engagement and ad effectiveness are reduced
Solution Approach 1:
The ad platform dynamically adapts the content delivery based on user characteristics and network conditions. Instead of fixed ad lengths, the system can adjust video duration and quality in real-time, allowing optimized engagement while controlling data usage according to individual user needs
Solution Approach 2:
The system performs preliminary analysis of user preferences, device capabilities, and network conditions before ad delivery. This preliminary action enables the system to pre-configure optimal ad parameters that balance engagement effectiveness with data conservation, avoiding the need for users to choose between ad quality and data usage
3Productivity
If users are forced to watch ads to generate revenue, then ad revenue increases, but user experience deteriorates and users are more likely to skip or close ads
Solution Approach 1:
The ad system provides self-service to users by allowing them to voluntarily engage with ads for rewards. Users can choose to watch ads, interact with offers, or skip them based on their preferences, transforming the forced viewing model into a voluntary exchange where users gain value from their time investment
Solution Approach 2:
The system incorporates feedback mechanisms that track user interactions, preferences, and responses to ads. This feedback enables continuous optimization of ad delivery, ensuring that users are presented with relevant content that aligns with their interests, thereby improving user experience while maintaining revenue effectiveness
4Device complexity
If traditional ad methods are used without incentives, then ad delivery is simple, but user engagement is low and users skip ads
Solution Approach 1:
The ad platform integrates multiple functions into a single system: video streaming, reward management, user tracking, fraud detection, and analytics. This multi-functional approach increases user engagement through comprehensive features while managing complexity through unified architecture that handles multiple tasks simultaneously
Solution Approach 2:
The system introduces an intermediary layer between advertisers and users that manages the complex interactions. This intermediary platform handles reward distribution, user authentication, fraud prevention, and ad delivery coordination, simplifying the overall system architecture while enabling sophisticated engagement strategies
Data Source
AI summary
A system and method including a mobile phone device and a mobile app, in which said mobile app comprises an unlocking module, an ad menu module, and point processing module stored in said computer readable storage medium, wherein said mobile app includes instructions which when executed by said mobile phone device, cause the mobile phone device to: process a waking up or powering up of said mobile device by said unlocking module; keep track of a user's point total by said point processing module; and process a graphic user interface to present a set of menu items in a lock screen by said ad menu module.