Mobile App Crash Data Tracking for Incomplete Purchase Analysis
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Solution Overview
Problem
Mobile application errors during transactions, such as crashes or incomplete purchases, result in monetary losses for providers due to missed opportunities, as users may abandon purchases rather than retrying through the affected application.
Innovation Solution
Implementing a system to track and analyze transaction events and application errors on mobile devices, using monitoring components and analytics services like SPLUNK ENTERPRISE, to identify correlations between incomplete transactions and errors, enabling developers to prioritize debugging efforts based on the impact of these errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mobile application errors occur during transactions, then application functionality is maintained, but monetary losses increase due to incomplete transactions
Solution Approach 1:
The system implements feedback by tracking and analyzing application errors and their correlation with incomplete transactions. Error tracking components monitor application performance, capture error data, and provide feedback to developers about which errors cause the most monetary loss, enabling prioritized debugging efforts
Solution Approach 2:
The patent converts the harmful effect of application errors into beneficial information by tracking and analyzing error patterns. Instead of errors merely causing loss, they generate valuable data about which specific errors impact transactions most, allowing developers to prioritize fixes based on actual monetary impact rather than guessing
2Measurement precision
If comprehensive error tracking is implemented, then debugging priority can be determined, but system complexity increases
Solution Approach 1:
The tracking system is segmented into distinct functional components: error tracking components that monitor application errors, transaction tracking components that monitor transaction completion, and analysis components that correlate the data. This segmentation allows each component to perform its specific function independently, managing complexity through modular design
Data Source
AI summary
Various methods and systems for tracking incomplete purchases in correlation with application performance, such as application errors or crashes, are provided. In this regard, aspects of the invention facilitate monitoring transaction and application error events and analyzing data associated therewith to identify data indicating an impact of incomplete purchases in relation to an error(s) such that application performance can be improved. In various implementations, application data associated with an application installed on a mobile device is received. The application data is used to determine that an error that occurred in association with the application installed on the mobile device correlates with an incomplete monetary transaction initiated via the application. Based on the error correlating with the incomplete monetary transaction, a transaction attribute associated with the error is determined.


