WiseBuzz-KAIST, Joint Development Collaboration on Multi-Media Advertising Optimization Algorithm
Introduction of AI Technology for Media-specific Advertising Efficiency Analysis
Development of Optimization Algorithms for Media-specific Budget Management
Contributing to Advertisers' Accurate Decision-making and Efficient Budget Execution
[Asia Economy Reporter Hyungsoo Park] ADTech-based comprehensive digital advertising company WiseBuzz announced on the 14th that it will collaborate with KAIST to jointly develop a 'multi-media advertising budget operation optimization algorithm technology.'
The core of the research is to build an algorithm that automates optimal budget operation for each media by having artificial intelligence (AI) compare and analyze advertising efficiency by media based on the technologies possessed by WiseBuzz and KAIST. It is expected to contribute to minimizing incorrect budget allocation during the media planning stage.
WiseBuzz, representing various advertisers' digital marketing, proposes various solutions to efficiently allocate advertising budgets across multiple online media. Advertisers conducting digital marketing campaigns measure and evaluate advertising performance efficiency against advertising costs for each media during the media planning stage, followed by a final decision-making process. However, many advertisers often make decisions based on the experience and preferences of media planners rather than verified data indicators when distributing budgets by media.
By collaborating with KAIST, WiseBuzz plans to develop a more advanced automated budget operation algorithm for each media, helping advertisers make accurate decisions and enabling more efficient budget execution.
The research team led by Professor Seonghyuk Park, a digital marketing big data expert at KAIST conducting the project, introduced, "Through this operation solution, we aim to improve advertising performance by up to 15% while using the same level of advertising costs as before."
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Jongwon Kim, CEO of WiseBuzz, said, "We will focus on supporting scientific decision-making and achieving optimal advertising performance through the algorithm jointly developed with KAIST." He added, "We will continue to develop various tools that can minimize concerns about inefficient budget utilization as a marketing partner for many companies."
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