The impact of cultural factors on digital marketing strategies with Machine learning and honey bee Algorithm (HBA)
This paper analyses the impact of cultural factors on digital marketing strategies in Pakistan. Improvement of machine learning (ML) techniques combined with the Honey Bee Algorithm (HBA) has been incorporated for better solutions. Cultural differences play a vital role as consumers behave different...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Cogent Business & Management |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/23311975.2025.2486590 |
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| _version_ | 1850213534058676224 |
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| author | Muhammad Khan Masood Ahmad Rakhmonov Dilshodjon Alidjonovich Kalonov Mukhiddin Bakhritdinovich Kurbanbekova Mohichehra Turobjonovna Imomov Jamshidxon Odilovich |
| author_facet | Muhammad Khan Masood Ahmad Rakhmonov Dilshodjon Alidjonovich Kalonov Mukhiddin Bakhritdinovich Kurbanbekova Mohichehra Turobjonovna Imomov Jamshidxon Odilovich |
| author_sort | Muhammad Khan |
| collection | DOAJ |
| description | This paper analyses the impact of cultural factors on digital marketing strategies in Pakistan. Improvement of machine learning (ML) techniques combined with the Honey Bee Algorithm (HBA) has been incorporated for better solutions. Cultural differences play a vital role as consumers behave differently based on some cultural differences, demanding sensitive marketing strategies. Experimental results demonstrate that machine learning models effectively capture cultural preferences, and HBA significantly enhances marketing effectiveness, leading to a 20% increase in engagement and a 15% improvement in click-through rates (CTR). Natural Language Processing (NLP) methods are used to gain cultural insights from consumer data, while clustering algorithms segment the market based on these factors. Predictive models are applied to understand consumer behavior patterns, and HBA is utilized to optimize key marketing parameters, including content personalization and ad placement. Compared to traditional marketing approaches, our data-driven methodology results in a 25% overall improvement in consumer interactions and campaign effectiveness. The proposed framework is validated through extensive experimentation, incorporating culturally tailored A/B testing, religion-related holidays’ optimization, and personalized segmentation. These findings underscore the importance of integrating cultural insights into digital marketing strategies to enhance consumer engagement and optimize campaign performance. |
| format | Article |
| id | doaj-art-e1fc5e3446ea4630a44cb5963340a01d |
| institution | OA Journals |
| issn | 2331-1975 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Business & Management |
| spelling | doaj-art-e1fc5e3446ea4630a44cb5963340a01d2025-08-20T02:09:07ZengTaylor & Francis GroupCogent Business & Management2331-19752025-12-0112110.1080/23311975.2025.2486590The impact of cultural factors on digital marketing strategies with Machine learning and honey bee Algorithm (HBA)Muhammad Khan0Masood Ahmad1Rakhmonov Dilshodjon Alidjonovich2Kalonov Mukhiddin Bakhritdinovich3Kurbanbekova Mohichehra Turobjonovna4Imomov Jamshidxon Odilovich5Institute of Business Studies and Leadership, Abdul Wali Khan University Mardan, Mardan, KP, PakistanDepartment of Computer Science, Abdul Wali Khan University, Mardan, PakistanTashkent International University, Tashkent, UzbekistanNavoi State University, Tashkent, UzbekistanDepartment of Commercialization of Scientific and Innovative Developments, Tashkent State University of Economics, Tashkent, UzbekistanDepartment of Economic and Financial Security, Tashkent State University of Economics, Tashkent, UzbekistanThis paper analyses the impact of cultural factors on digital marketing strategies in Pakistan. Improvement of machine learning (ML) techniques combined with the Honey Bee Algorithm (HBA) has been incorporated for better solutions. Cultural differences play a vital role as consumers behave differently based on some cultural differences, demanding sensitive marketing strategies. Experimental results demonstrate that machine learning models effectively capture cultural preferences, and HBA significantly enhances marketing effectiveness, leading to a 20% increase in engagement and a 15% improvement in click-through rates (CTR). Natural Language Processing (NLP) methods are used to gain cultural insights from consumer data, while clustering algorithms segment the market based on these factors. Predictive models are applied to understand consumer behavior patterns, and HBA is utilized to optimize key marketing parameters, including content personalization and ad placement. Compared to traditional marketing approaches, our data-driven methodology results in a 25% overall improvement in consumer interactions and campaign effectiveness. The proposed framework is validated through extensive experimentation, incorporating culturally tailored A/B testing, religion-related holidays’ optimization, and personalized segmentation. These findings underscore the importance of integrating cultural insights into digital marketing strategies to enhance consumer engagement and optimize campaign performance.https://www.tandfonline.com/doi/10.1080/23311975.2025.2486590Digital marketing strategiescultural factorsconsumer segmentationhoney bee algorithmNLPcampaign optimization |
| spellingShingle | Muhammad Khan Masood Ahmad Rakhmonov Dilshodjon Alidjonovich Kalonov Mukhiddin Bakhritdinovich Kurbanbekova Mohichehra Turobjonovna Imomov Jamshidxon Odilovich The impact of cultural factors on digital marketing strategies with Machine learning and honey bee Algorithm (HBA) Cogent Business & Management Digital marketing strategies cultural factors consumer segmentation honey bee algorithm NLP campaign optimization |
| title | The impact of cultural factors on digital marketing strategies with Machine learning and honey bee Algorithm (HBA) |
| title_full | The impact of cultural factors on digital marketing strategies with Machine learning and honey bee Algorithm (HBA) |
| title_fullStr | The impact of cultural factors on digital marketing strategies with Machine learning and honey bee Algorithm (HBA) |
| title_full_unstemmed | The impact of cultural factors on digital marketing strategies with Machine learning and honey bee Algorithm (HBA) |
| title_short | The impact of cultural factors on digital marketing strategies with Machine learning and honey bee Algorithm (HBA) |
| title_sort | impact of cultural factors on digital marketing strategies with machine learning and honey bee algorithm hba |
| topic | Digital marketing strategies cultural factors consumer segmentation honey bee algorithm NLP campaign optimization |
| url | https://www.tandfonline.com/doi/10.1080/23311975.2025.2486590 |
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