Enhancing Marketing Communications with Generative AI: A Systematic Literature Review


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Tümbek Tekeoğlu A. N., Büyüksomer A. E.

6.th Spring Conferences, İstanbul, Türkiye, 25 - 26 Mayıs 2024, ss.1-2

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-2
  • İstanbul Ticaret Üniversitesi Adresli: Evet

Özet

Abstract

Artificial intelligence (AI) is rapidly emerging in the field of marketing, ushering in a

transformative era for marketing communications. AI technologies offer a novel perspective,

empowering businesses to revolutionize traditional marketing methods and strategies.

Traditional mass marketing approaches struggle to meet the evolving needs of consumers,

lacking the capacity to deliver personalized messages tailored to individual preferences. The

integration of AI solutions into marketing communication is advancing at a breakneck pace,

becoming a crucial strategy for businesses to compete in the digital landscape. Consequently,

companies are increasingly investing in AI technologies.

Generative AI, a subfield of AI, excels at processing various data formats, including text,

visuals, and audio. By analyzing this data, it can generate deep insights into consumer

preferences and behaviors, crafting personalized content tailored to individual profiles. This

allows businesses to develop more engaging, efficient, and customer-centric campaigns.

This study examines the integration of this next-generation technology into marketing

communications, exploring the inevitable transformation it brings. It delves into how

businesses can leverage generative AI to strengthen customer relationships, enhance brand

value, and deliver personalized customer experiences. The study explores the creation of

enriched content tailored to customer profiles and interests, incorporating diverse formats

such as text, images, audio, and video. It also investigates the utilization of tools like chatbots

and virtual assistants to facilitate real-time customer interactions. Additionally, the

capabilities of generative AI to optimize marketing campaigns in real time, through methods

like A/B testing, are examined. By offering a historical perspective on the evolution of

generative AI integration, the study aims to provide insights into future trends and

possibilities.

Keywords: Generative Artificial Intelligence, Marketing Communications, Personalized

Marketing, Dynamic Content, Target Audience Analysis, Chatbots, Marketing Automation


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