Fuzzy Logic Approach to Social Media Marketing: Distribution of Advertising Budget According to Different Age Groups and Genders

Mehmet Emin Keke
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Abstract

In this study, the effect of fuzzy logic approach in social media marketing on the distribution of advertising budgets according to different age groups and genders was examined. The findings show that the fuzzy logic method can be used effectively in advertising budget distribution. The usage rates of five main social media platforms such as Facebook, Instagram, X (Twitter), YouTube and LinkedIn were imported into MATLAB for analysis. The data obtained with the MATLAB program, which uses fuzzy logic algorithms, helps to distribute the advertising budget more evenly and efficiently by considering complex variables such as age and gender. The results highlight that the fuzzy logic approach can be used as an important tool in developing segmentation and targeting strategies in social media marketing. This study reveals the applicability of fuzzy logic techniques to increase efficiency and gain competitive advantage in social media advertising.
社交媒体营销的模糊逻辑方法:根据不同年龄段和性别分配广告预算
本研究探讨了社交媒体营销中的模糊逻辑方法对不同年龄组和性别的广告预算分配的影响。研究结果表明,模糊逻辑方法可有效用于广告预算分配。研究人员将 Facebook、Instagram、X(Twitter)、YouTube 和 LinkedIn 等五个主要社交媒体平台的使用率导入 MATLAB 进行分析。利用 MATLAB 程序获得的数据采用了模糊逻辑算法,通过考虑年龄和性别等复杂变量,有助于更均匀、更高效地分配广告预算。研究结果突出表明,模糊逻辑方法可作为社交媒体营销中制定细分和定位策略的重要工具。这项研究揭示了模糊逻辑技术在社交媒体广告中提高效率和获得竞争优势的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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