System for dynamic allocation of cross-platform advertising budgets

By using a cross-platform advertising budget dynamic allocation system and analyzing historical data to adjust budget allocation, the problems of resource waste and low conversion efficiency in cross-platform advertising have been solved, resulting in more efficient and stable advertising performance.

CN121903696BActive Publication Date: 2026-07-21SHENZHEN ZHILONGDA MEDIA TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN ZHILONGDA MEDIA TECHNOLOGY CO LTD
Filing Date
2026-01-14
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Traditional advertising budget allocation methods cannot match changes in user behavior in real time in cross-platform advertising scenarios, resulting in wasted resources and declining conversion efficiency. They also lack scientific performance evaluation benchmarks and cannot achieve collaborative optimization across different channels.

Method used

The module acquires initial budget allocation parameters, combines them with historical data for simulation, utilizes multi-dimensional correlation analysis to adjust budget allocation, optimize advertising strategies, dynamically match user behavior characteristics and reach, and provide a scientific benchmark for performance evaluation.

Benefits of technology

It improves resource utilization, conversion stability, and execution efficiency for cross-platform advertising, and is suitable for complex and ever-changing digital advertising scenarios.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a cross-platform advertisement putting budget dynamic allocation system and relates to the technical field of advertisements.The technical scheme points of the application comprise the following steps: obtaining initial budget allocation parameters of a current advertisement putting stage, simulating a putting scene according to the initial budget allocation parameters to obtain user behavior characteristic data; obtaining a benchmark conversion data value according to historical budget allocation parameters and historical conversion data; obtaining a conversion loss data value according to the correlation influence trend characteristics between historical user behavior characteristic data and historical conversion loss values; obtaining actual conversion data values according to the reach increase, active diffusion range and conversion loss data values; and outputting an advertisement budget allocation control result after dynamically optimizing and adjusting the initial budget allocation parameters according to the benchmark conversion data value and the actual conversion data values.The effect is that the application is suitable for complex and changeable digital advertisement putting scenes.
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Citation Information

Patent Citations

  • Advertisement putting method and device, electronic equipment and computer readable medium

    CN114581128A

  • Advertisement budget allocation method and system based on machine learning and user behaviors

    CN119359378A