Web Beacon Trigger Switching for Data Completeness and Speed
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for triggering web beacons lack efficiency and reliability in determining whether to perform client-side or server-side data transmission, often resulting in incomplete or inaccurate data collection.
Innovation Solution
A method is introduced to calculate a readiness score based on data completeness, reliability, and priority to determine whether to perform client-side or server-side triggering of web beacons, using a first-party computer system to enrich data before transmission to a third-party system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If client-side triggering is used to speed up data transmission, then speed is improved, but data completeness and reliability deteriorate
Solution Approach 1:
The system dynamically switches between client-side and server-side triggering based on a readiness score calculated from data completeness, reliability, and priority factors. This allows the system to adapt the triggering mechanism to current data availability conditions, achieving both speed and reliability optimally.
Solution Approach 2:
The system changes the triggering parameter (client-side vs server-side) based on the readiness score, which is calculated using data completeness, reliability, and priority parameters. This parameter change enables optimal performance under different data conditions.
2Reliability
If server-side triggering is used to ensure data completeness, then reliability is improved, but transmission speed deteriorates
Solution Approach 1:
The system dynamically selects between client-side and server-side triggering based on real-time assessment of data readiness through readiness scores, ensuring optimal balance between completeness and speed for each specific situation.
Solution Approach 2:
The triggering approach is changed based on calculated readiness scores that consider data completeness, reliability, and priority, allowing the system to switch between server-side (for completeness) and client-side (for speed) modes as conditions change.
3Measurement precision
If data enrichment is performed to improve accuracy, then measurement precision is improved, but processing time increases
Solution Approach 1:
The system performs preliminary assessment of data readiness by calculating readiness scores before triggering beacons. This preliminary action determines whether enrichment is necessary and when it should be performed, avoiding unnecessary processing time while ensuring accuracy when needed.
Solution Approach 2:
The system changes the level of data enrichment based on readiness scores and priority factors, performing comprehensive enrichment only when necessary to achieve required measurement precision, thereby optimizing the trade-off between accuracy and processing time.
Data Source
AI summary
Techniques are disclosed relating to methods that include receiving an indication of an access by a user to a web page that includes a beacon, and calculating a readiness score for triggering the beacon. The methods may also include determining, based on the readiness score, whether to perform a client-side or server-side triggering of the beacon. The triggering causes data associated with the access to be transmitted to a third-party computer system.