Pazarlamada Yapay Zekâ: Yeni Nesil Stratejiler ve Uygulamalar

Öz

Bu çalışma, yapay zekânın (YZ) pazarlama stratejilerine etkisini ve işletmelere sunduğu fırsatları incelemektedir. YZ, müşteri davranışlarını analiz etme, kişiselleştirilmiş deneyimler sunma ve kampanya yönetimini optimize etme gibi işlevlerle pazarlama süreçlerine somut faydalar sağlamaktadır. Araştırma, YZ destekli stratejiler arasında chatbotlar, YZ reklamcılığı ve içerik üretimi gibi alanları ele alarak, bu teknolojilerin pazarlamada nasıl yenilikçi çözümler sunduğunu ortaya koymaktadır. Çalışmanın amacı, YZ’nin teorik katkılarını ve pratik kullanım alanlarını değerlendirerek işletmelere stratejik bir yol haritası sunmaktır. Bu kapsamda, bir araştırma sorusu belirlenmiştir: (1) Yapay zekâ ile geliştirilen yeni nesil pazarlama stratejileri nelerdir? Çalışmada, başarılı YZ uygulamalarına dair vaka çalışmaları ve örnekler incelenerek, YZ’nin pazarlama stratejilerine entegrasyonunun işletmelere başarı ve verimlilik sağladığı gösterilmektedir. Yapay zekanın pazarlama sistemlerine başarılı bir şekilde entegre edilmesi, iş çevikliğini güçlendirir, pazar değişimlerine gerçek zamanlı yanıt vermeyi destekler ve son derece kişiselleştirilmiş etkileşimler aracılığıyla tüketici sadakatini artırır. Ancak, yapay zekanın tüm potansiyelini gerçekleştirmek, hem teknik hem de etik boyutları ele alan bütünsel bir strateji gerektirir.

Anahtar Kelimeler

• Pazarlama
• Dijital Pazarlama
• Yapay Zekâ

Artificial Intelligence in Marketing: Next Generation Strategies and Applications

Abstract

This study examines the impact of artificial intelligence (AI) on marketing strategies and the opportunities it offers to businesses. AI provides tangible benefits to marketing processes through functions such as analyzing customer behavior, delivering personalized experiences, and optimizing campaign management. The research examines AI-supported strategies in areas such as chatbots, AI advertising, and content production, revealing how these technologies offer innovative solutions in marketing. The aim of the study is to evaluate the theoretical contributions and practical applications of AI and provide businesses with a strategic roadmap. In this context, a research question has been identified: (1) What are the new generation marketing strategies developed with artificial intelligence? The study examines case studies and examples of successful AI applications, demonstrating that the integration of AI into marketing strategies brings success and efficiency to businesses. The successful integration of AI into marketing systems strengthens business agility, supports real-time responsiveness to market shifts, and enhances consumer loyalty through hyper-personalized interactions. However, realizing the full potential of AI requires a holistic strategy that addresses both technical and ethical dimensions.

Keywords

• Marketing
• Digital Marketing
• Artificial Intelligence

Kaynakça

1. ADAM, Martin, WESSEL, Michael and BENLIAN, Alexander (2021), “AI-Based Chatbots in Customer Service and Their Effects on User Compliance”, Electronic Markets, S.31(2), ss.427-445.
2. AI EXPERT NETWORK (2024), “Zara's Comprehensive Approach to AI and Supply Chain Management”, AI Expert Network Corporate Web Page (E-News), https://aiexpert.network/case-study-zaras-comprehensive-approach-to-ai-and-supply-chain-management/ (Date of Access: 23.11.2024).
3. ANJORIN, Kikelomo Fadilat, RAJI, Mustafa Ayobami, OLODO, Hameedat Bukola and OYEYEMI, Oluwaseun Peter (2024), “Harnessing Artificial Intelligence to Develop Strategic Marketing Goals”, International Journal of Management & Entrepreneurship Research, S.6(5), ss.1625-1650.
4. ARSLAN, Kürşat (2020), “Eğitimde Yapay Zekâ ve Uygulamaları”, Batı Anadolu Eğitim Bilimleri Dergisi, S.11(1), ss.71-88.
5. BEHERA, Rajat Kumar, BALA, Pradip Kumar, RANA, Nripendra P., ALGHARABAT, Raed Salah and KUMAR, Kumad (2024), “Transforming Customer Engagement with Artificial Intelligence E-Marketing: An E-Retailer Perspective in the Era of Retail 4.0.”, Marketing Intelligence & Planning, S.42(7), ss.1141-1168.
6. BELAČIĆ, Aleksandra and ALČAKOVIĆ, Slavko (2024), “Review of the Role of Generative Artificial Intelligence in Contemporary Digital Marketing”, Zbornik Radova Univerziteta Sinergija, S.24(9), ss.7-10.
7. BHUIYAN, Mohammad Shafiquzzaman (2024), “The Role of AI-Enhanced Personalization in Customer Experiences”, Journal of Computer Science and Technology Studies, S.6(1), ss.162-169.
8. BOUCHAREB, Nasser and MORAD, İsmail (2024), “Analyzing the Impact of AI-Generated Email Marketing Content on Email Deliverability in Spam Folder Placement”, Holistica Journal of Business and Public Administration, S.15(1), ss.96-106.

9. CAMPBELL, Colin, SANDS, Sean, FERRARO, Carla, TSAO, Hsiu Yyuan Jody and MAVROMMATIS, Alexis (2020), “From Data to Action: How Marketers Can Leverage AI”, Business Horizons, S.63(2), ss.227-243.
10. CHATTERJEE, Sheshadri, MIKALEF, Patrick, KHORANA, Sangeeta and KIZGIN, Hatice (2022), “Assessing the Implementation of AI Integrated CRM System for B2C Relationship Management: Integrating Contingency Theory and Dynamic Capability View Theory”, Information Systems Frontiers, S.26(3), ss.967-985.
11. CHINTALAPATI, Srikrishna and PANDEY, Shivendra Kumar (2021), “Artificial Intelligence in Marketing: A Systematic Literature Review”, International Journal of Market Research, S.64(1), ss.38-68.
12. DAHIVALE, Rohan. P. (2024). “AI-Driven Marketing Strategies and Their Impact on Consumer Purchase Behavior.” Paridnya-The MIBM Research Journal, S.10(1), ss.38-41.
13. DAVENPORT, Thomas (2018), “From Analytics to Artificial Intelligence”, Journal of Business Analytics, S.1(2), ss.73-80.
14. DIGITAL DEFYND (2024), “Ways Coca-Cola Uses Artificial Intelligence”, Digital Defynd (E-News), https://digitaldefynd.com/IQ/ways-coca-cola-uses-artificial-intelligence/ (Date of Access: 23.11.2024).
15. DIGITAL SILK (2024), “Nike & Artificial Intelligence”, Digital Silk Corporate Web Page (E-News), https://www.digitalsilk.com/digital-trends/nike-artificial-intelligence/ (Date of Access: 23.11.2024).
16. ESCH, Patrick Van and BLACK, Stewart J. (2021), “Artificial Intelligence (AI): Revolutionizing Digital Marketing”, Australasian Marketing Journal, S.29(3), ss.199-203.
17. FAN, Hua, HAN, Bing, GAO, Wei and LI, Wengian (2022), “How AI Chatbots Have Reshaped the Frontline Interface in China: Examining the Role of Sales–Service Ambidexterity and the Personalization–Privacy Paradox”, International Journal of Emerging Markets, S.17(4), ss.967-986.
18. GAO, Biao, WANG, Yiming, XIE, Huigin, HU, Yi and HU, Yi (2023), “Artificial Intelligence in Advertising: Advancements, Challenges, and Ethical Considerations in Targeting, Personalization, Content and Ad Optimization”, Sage Open, S.13(4), ss.1-20.
19. GAO, Youjiang and LIU, Hongfei (2022), “Artificial Intelligence-Enabled Personalization in Interactive Marketing: A Customer Journey Perspective”, Journal of Research in Interactive Marketing, S.17(5), ss.663-680.
20. GOIC, Marcel, ROJAS, Andrea and SAAVEDRA, Ignacio (2021), “The Effectiveness of Triggered Email Marketing in Addressing Browse Abandonments”, Journal of Interactive Marketing, S.55(1), ss.118-145.
21. GRANDINETTI, Roberto (2020), “How Artificial Intelligence Can Change the Core of Marketing Theory”, Innovative Marketing, S.16(2), ss.91-103.
22. GÜLBAŞI, Ali and TAŞKIN, Ercan (2024), “The Two Faces of E-Commerce: A Comparison of E-Commerce Platforms and Social Commerce”, Dumlupınar Üniversitesi İİBF Dergisi, S.14, ss.71-82.
23. HENTZEN, Janin Karoli, HOFFMANN, Arvid, DOLAN, Rebecca and PALA, Erol (2021), “Artificial Intelligence in Customer-Facing Financial Services: A Systematic Literature Review and Agenda for Future Research”, The International Journal of Bank Marketing, S.40(6), ss.1299-1336.
24. HUANG, Ming Hui and RUST, Roland T. (2021), “A Strategic Framework for Artificial Intelligence in Marketing”, Journal of the Academy of Marketing Science, S.49, ss.30-50.
25. HUH, Jisu, NELSON, Michelle R. and CRISTEL, Antonia Russell (2023), “Chatgpt, AI Advertising, and Advertising Research and Education”, Journal of Advertising, S.52(4), ss.477-482.
26. IGNITE AI (2024), “Netflix Secret Sauce”, Ignite Corporate Web Page (E-News), https://igniteai.com.au/netflix-secret-sauce/ (Date of Access: 03.08.2024).
27. IQBAL, Sajid (2024), “The Intelligence Spectrum: Unraveling the Path from ANI to ASI”, Journal of Computing & Biomedical Informatics, S.7(2), ss.1-28.
28. KALOTA, Faisal (2024), “A Primer on Generative Artificial Intelligence”, Education Sciences, S.14(2), ss.(172).
29. KHAN, Arman, ABDUL HAMİD, Abu Bakar, MAT, Saad Norizan, HUSSAIN, Zahid and ARIF, Abdur Rehman (2023), “Effectiveness of Artificial Intelligence in Building Customer Loyalty: Investigating the Mediating Role of Chatbot in the Tourism Sector of Pakistan”, International Journal of Academic Research in Business and Social Sciences, S.13(9), ss.657-671.
30. KSHETRI, Nir, DWIVEDI, Yogesh K., DAVENPORT, Thomas H. and PANTELI, Niki (2024), “Generative Artificial Intelligence in Marketing: Applications, Opportunities, Challenges, And Research Agenda”, International Journal of Information Management, S.75, ss.(102716).
31. KUMAR, Vipin, RAJAN, Bharath, VENKATESAN, Rajkumar and LECINSKI, Jim (2019), “Understanding the Role of Artificial Intelligence in Personalized Engagement Marketing”, California Management Review, S.61(4), ss.135-155.
32. LIN, Xiaolin, WANG, Xuequn, SHAO, Bin and TAYLOR, Joseph (2024), “How Chatbots Augment Human Intelligence in Customer Services: A Mixed-Methods Study”, Journal of Management Information Systems, S.41(4), ss.1016-1041.
33. LO PIANO, Samuele (2020), “Ethical Principles in Machine Learning and Artificial Intelligence: Cases from the Field and Possible Ways Forward”, Humanities and Social Sciences Communications, S.7(1), ss.1-7.
34. LOGALAKSHMI, Sugumaran (2023), “Carving a Brighter Path with Synergy of Digital Marketing and AI”, International Journal of Trendy Research in Engineering and Technology, S.7(5), ss.18-24.
35. MILES, Matthew. B. and HUBERMAN, A. Michael (1994), Qualitative Data Analysis, Sage Publisher, New Delhi / London, https://vivauniversity.wordpress.com/wp-content/uploads/2013/11/milesandhuberman1994.pdf
36. MIQUIDO (2024), “Generative AI in the Beauty Industry”, Miquido Corporate Web Page (E-News), https://www.miquido.com/blog/generative-ai-in-beauty-industry/ (Date of Access: 23.11.2024).
37. MISISCHIA, Chiara Valentina, POECZE, Flora and STRAUSS, Christine (2022), “Chatbots in Customer Service: Their Relevance and Impact on Service Quality”, Procedia Computer Science, S.201, ss.421-428.
38. MOGAJI, Emmanuel, OLALEYE, Sunday and UKPABI, Dandison (2019), “Using AI to Personalise Emotionally Appealing Advertisements”, Innovative Approaches in Digital Marketing: Advances in Theory and Practice of Emerging Markets (Eds. Nripendra P. Rana, Emma L. Slade, Hatice Kizgin, Ganesh P. Sahu, Nitish Singh, Bidit Dey, Anabel Gutierrez, Yogesh K. Dwivedi), Springer Publisher, Cham, ss.137-150.
39. MOGAJI, Emmanuel, SOETAN, Taiwo and KIEU, Tai Anh (2020), “The Implications of Artificial Intelligence on the Digital Marketing of Financial Services to Vulnerable Customers”, Australasian Marketing Journal, S.29(3), ss.235-242.
40. NAIR, Rohit, SINGH, Neha, REDDY, Meena and CHOPRA, Anil (2021), “Enhancing Email Marketing Automation with AI: Leveraging Natural Language Processing and Predictive Analytics Algorithms”, Innovative AI Research Journal, S.10(2), ss.1-24.
41. NICOLESCU, Luminita and TUDORACHE, Monica Teodora (2022), “Human-Computer Interaction in Customer Service: The Experience with AI Chatbots a Systematic Literature Review”, Electronics, S.11(10), ss.1-24.
42. NORANEE, Shereen and BIN OTHMAN, Abdul Kadir (2023), “Understanding Consumer Sentiments: Exploring the Role of Artificial Intelligence in Marketing”, JMM17 Jurnal Ilmu Ekonomi Dan Manajemen, S.10(1), ss.15-23.
43. OKAY, Suat (2023), “Dijital Pazarlamada Yapay Zekâ ve Makine Öğrenimi Kullanımı”, Elektronik Sosyal Bilimler Dergisi, S.22(85), ss.135-142.
44. PATIL, Dimple (2024), “Email Marketing with Artificial Intelligence: Enhancing Personalization, Engagement, and Customer Retention”, Engagement, and Customer Retention, 1 December 2024, ss.1-10.
45. POTWORA, Maciej, VDOVICHENA, Olha, SEMCHUK, Dmytrii, LIPYCH, Liubov and SAIENKO, Volodymyr (2024), “The Use of Artificial Intelligence in Marketing Strategies: Automation, Personalization and Forecasting”, Journal of Management World, S.2, ss.41-49.
46. RESE, Alexandra and WITTHOHN, Lennart (2025), “Recovering Customer Satisfaction After a Chatbot Service Failure–The Effect of Gender”, Journal of Retailing and Consumer Services, S.84, ss.(104257).
47. RODGERS, Shelly (2021), “Themed Issue Introduction: Promises and Perils of Artificial Intelligence and Advertising”, Journal of Advertising, S.50(1), ss.1-10.
48. SAGAR, Sahil (2024), “The Impact of Digital Transformation on Retail Management and Consumer Behavior”, IOSR Journal of Business and Management, S.26(1), ss.6–14.
49. SAK, Ramazan, SAK, İkbal, ŞAHİN, Tuba, ÖNEREN ŞENDİL, Çağla and NAS, Eşref (2021), “Bir Araştırma Yöntemi Olarak Doküman Analizi”, Kocaeli Üniversitesi Eğitim Dergisi, S.4(1), ss.227-256.
50. SENYAPAR, Hafize and DURMUS, Nurgul (2024), “Artificial Intelligence in Marketing Communication: A Comprehensive Exploration of the Integration and Impact of AI”, Technium Social Sciences Journal, S.55, ss.64-81.
51. SHIN, Hyunju, BUNOSSO, Isabella and LEVINE, Lindsay R. (2022), “The Influence of Chatbot Humour on Consumer Evaluations of Services”, International Journal of Consumer Studies, S.47(2), ss.545-562.
52. SINGH, Navdeep and ADHIKARI, Daisy (2023), “AI-Driven Personalization in Ecommerce Advertising”, International Journal for Research in Applied Science and Engineering Technology, S.11(12), ss.1692-1698.
53. STRATOFLOW (2024), “Amazon Recommendation System”, Stratoflow Corporate Web Page (E-News), https://stratoflow.com/amazon-recommendation-system/ (Date of Access: 23.11.2024).
54. STUPAR-RUTENFRANS, Snezana, DE KOFF, Devin and VAN DEN ELST, John (2019), “The Effect of Subject Lines on Open Rates of Email Marketing Messages”, Advances in Social Sciences Research Journal, S.6(7), ss.181-188.
55. SUN, Wanxin (2023), “Utilize the Relationship between Artificial Intelligence (AI) on Short Video Platforms and Users' Self-Conception to Guide Marketing Strategies”, Lecture Notes in Education Psychology and Public Media, S.10(1), ss.36-43.
56. TADIMARRI, Anish, JANGOAN, Suhas, SHARMA, Kapil Kumar and GURUSAMY, Ashokkumar (2024), “AI-Powered Marketing: Transforming Consumer Engagement and Brand Growth”, International Journal for Multidisciplinary Research, S.6(2), ss.1-11.
57. TANG, Ling, LI, Jieyi, DU, Hongchuan, LI, Ling, WU, Jun and WANG, Shouyang (2022), “Big Data in Forecasting Research: A Literature Review”, Big Data Research, S.27, ss.(100289).
58. THAKUR, Jyoti and KUSHWAHA, Bijay Prasad (2024), “Artificial Intelligence in Marketing Research and Future Research Directions: Science Mapping and Research Clustering Using Bibliometric Analysis”, Global Business and Organizational Excellence, S.43(3), ss.139-155.
59. THOMASNET (2024), “Zara & H&M: Fast Fashion & AI Supply Chain”, Thomasnet Corporate Web Page (E-News), https://www.thomasnet.com/insights/zara-h-m-fast-fashion-ai-supply-chain/ (Date of Access: 23.11.2024).
60. UPADHYAYA, Makarand (2024), “The Role of Artificial Intelligence in Personalized Marketing”, Educational Administration: Theory and Practice, S.30(6), ss.2388-2397.
61. VERMA, Charul, VIJAYALAKSHMI, P., CHATURVEDI, Nidhi, UMESH, U., RAI, Anurag and AHMAD, A. Y. Bani Ahmad (2025), “Artificial Intelligence in Marketing Management: Enhancing Customer Engagement and Personalization”, 2025 International Conference on Pervasive Computational Technologies, 8th to 9th February 2025, Greater Noida – India, IEEE Publisher, New Jersey, ss.397-401.
62. WANG, Jun, ZHANG, Weinan and YUAN, Shuai (2017), “Display Advertising with Real-Time Bidding (RTB) and Behavioral Targeting”, Foundations and Trends in Information Retrieval, S.11(4-5), ss.297-435.
63. WU, Chih‐Wen and MONFORT, Abel (2022), “Role of Artificial Intelligence in Marketing Strategies and Performance”, Psychology and Marketing, S.40(3), ss.484-496.
64. YANG, Xue, HAO-WEN, Li, NI, Likun and LI, Teng (2021), “Application of Artificial Intelligence in Precision Marketing”, Journal of Organizational and End User Computing, S.33(4), ss.209-219.
65. YAZDANI, Ali and DARBANI, Shoaleh (2023), “The Impact of AI on Trends, Design, and Consumer Behavior”, AI and Tech in Behavioral and Social Sciences, S.1(4), ss.4-10.
66. YOŞUMAZ, İsmail (2024), “A Qualitative Research on the Awareness of Trend Technologies Used in Digital Transformation of Businesses Across G20 Countries”, Current Research in Social Sciences, S.10(2), ss.230-269.
67. YOŞUMAZ, İsmail (2025), “Generative Artificial Intelligence and Usage in Academia”, Firat University Journal of Social Sciences, S.35(1), ss.1-24.
68. ZAMAN, Khansa (2022), “Transformation of Marketing Decisions through Artificial Intelligence and Digital Marketing”, Journal of Marketing Strategies, S.4(2), ss.353-364.
69. ZHANG, Qian, LU, Jie and JIN, Yaochu (2020), “Artificial Intelligence in Recommender Systems”, Complex & Intelligent Systems, S.7(1), ss.439-457.