Usage Analytics Module Integrating Identity With Mobile Apps
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Solution Overview
Problem
Existing solutions for mobile application usage analytics do not effectively tie user identity information with usage data, limiting developers' understanding of user preferences and behavior.
Innovation Solution
A usage analytics module is integrated within mobile applications to collect and analyze data, linking user identity information with usage analytics, which are then provided to developers through a developer dashboard, enabling more comprehensive user profiling and data-driven insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If passive analytics collection services are used to receive information about device type, time of usage, location usage, feature usage, and event reporting, then usage data can be collected, but the data does not tie into user identity and cannot reveal true user preferences
Solution Approach 1:
The patent merges usage analytics data collection with user identity information by integrating the analytics module into the application itself. The module collects usage data and automatically associates it with user profiles stored on the server, combining previously separate data streams (usage events and user identities) into a unified structure that enables personalized analytics.
Solution Approach 2:
The patent introduces a server as an intermediary between the mobile application and the analytics collection system. The server receives usage data from the application, matches it with user identity information from user profiles, and stores the combined data. This intermediary enables the linkage of usage analytics with user identities without requiring direct integration between the app and complex analytics infrastructure.
2Adaptability or versatility
If separate tools are used for analytics collection, then data can be gathered from multiple sources, but the tools do not integrate user identity information with usage data
Solution Approach 1:
The analytics module is designed with multi-functionality, serving both as a data collection mechanism and as an identity linkage system. It can gather various types of usage data (device information, usage patterns, events) and simultaneously associate this data with user profiles, making it a universal solution that handles both data collection and user identification in a single integrated component.
Data Source
AI summary
Methods and systems for collecting and analyzing application usage are disclosed. A usage analytics module is integrated within an application. The application is deployed to a device. Usage analytics are received, at a server, in response to usage of the application at the device. The usage analytics are provided to the developer, wherein the usage analytics includes at least one of: information identifying a user of the application or information linking the usage analytics to an existing user identity.