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Semiotic Codes and Brand Loyalty: Leveraging AI to Predict and Influence Consumer Behavior

In: Marketing in a Digital World

Author

Listed:
  • V. N. Bajpai

    (ITS)

  • Ashish Kumar Jha

    (ITS)

  • Astha Shukla

    (CSJM University)

Abstract

In the context of marketing, this paper explores the critical juncture at whoopic semiotics and technology intersect. Specific interest is placed on the way semiotic codes affect brand loyalty as well as consumer behaviours. Various semiotic components which include symbols, colours narratives and cultural signs are crucial in making consumers have perceptions towards brands and develop emotional ties with them. However, with the aid of AI tools, brands can interpret these semiotic elements thereby coming up with more versatile and personalized marketing strategies that match to different consumer values or preferences. The study looks into the prospect of using big data analysis to understand the recurrent patterns in consumer behaviour through AI based technologies in order predict how such patterns affect consumer buying decisions. It is also intended to show how organizations can apply this information in making their marketing plans cater for their own clients. This includes both qualitative and quantitative research methods which involve conducting surveys among five hundred respondents alongside interviewing respondents drawn from marketing departments working for retailing outlets dealing technological products FMCGs or fast moving consumer goods globally. The main purpose therefore was to know whether such an application would provide better results than manual processes taking place within brands’ marketing departments today. There is an important reason why many advert logos are made in way they are with respect to colour on their brand logos, the brand logos color schemes or personalized messages, in order to lure customer loyalty levels back into their companies in case anything is amiss. But when put together with artificial intelligence (AI) these two play more strongly than the sum of their parts. For example, personalised experiences driven by AI such as individualized recommendations or ads create strong emotional ties between suppliers and consumers thereby enhancing brand equity driven by AI technology powered by loyalty metrics. More over signs affect loyalty mostly at supermarkets selling goods which are constantly used because they have more symbols. In that way in order to get high customer loyalty then business firms using artificial intelligence must incorporate semiotics into their brands. This serving as mixture helps businesses get sustained expansion in an environment where commerce operates similar principles across societies while delivering hypersensitive personal experiences apart from instant feedback which cause businesses expand within loyalty ecosystems based on new shared values of modern commerce environments.

Suggested Citation

  • V. N. Bajpai & Ashish Kumar Jha & Astha Shukla, 2026. "Semiotic Codes and Brand Loyalty: Leveraging AI to Predict and Influence Consumer Behavior," Springer Books, in: Varsha Jain & Githa S. Heggde & Russell Belk & George Spais (ed.), Marketing in a Digital World, pages 95-112, Springer.
  • Handle: RePEc:spr:sprchp:978-981-95-6505-4_5
    DOI: 10.1007/978-981-95-6505-4_5
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