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    OPTIMAL FRAMEWORK FOR IMPROVING INDICATORS OF DIGITAL MARKETING

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    Phd Thesis (2.338Mb)
    Date
    2024-02
    Author
    SINGHAL, KANIKA
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    Abstract
    In the marketing study phase, powered AI handles data group, rational AI drives market analysis, and sensation AI fosters a deep sympathetic of customer behaviour. Moving into the advertising strategy (STP) phase, mechanical AI assists in segment credit, rational AI provides segment targeting recommendations, and feeling AI contributes to resonating with the positioned segments. Transitioning to the advertising act stage, motorized AI streamlines standardization processes, thinking AI enhances personalization, and sensation AI enriches efforts towards renationalization. The framework encompasses three facets of AI: motorized AI for automating boring advertising tasks, rational AI for data analysis leading to choice making and examining human interactions and emotions. The authors have crafted a comprehensive three-step blueprint for planned marketing preparation that harnesses the manifold advantages of artificial intelligence (AI). AI theatres a pivotal role in this context, involving a strategic integration of AI across various facets, such as market research, strategy development (including subdivision, directing, and positioning, commonly known as STP), and the execution of actionable plans. The purpose of this training is to assess the influence of AI on digital advertising by investigating how companies leverage AI to enhance their performance. Marketers have set high expectations for AI, anticipating that it will further refine automation processes and eventually assume a predominant role in most marketing operations. Present-day marketers are eager to enhance their digital advertising plans to engage with each client effectively and articulate their preferences clearly. AI stands as a valuable tool in enabling companies to achieve their marketing objectives. We have created and presented a research framework for the digital marketing field, emphasizing key touch points within the advertising procedure and plan where digital skills currently exert, and will endure to exert, a significant influence. This framework serves as our foundation for categorizing on-going developments and existing research within the various components and touch points it encompasses. In the ever developing scenery of digital marketing, the role of artificial intelligence (AI) has emerged as a transformative force. This comprehensive abstract delves into a paradigm-shifting framework that dissects the deep impact of AI on various facets of the advertising process, and outlines a meticulous three-step blueprint to harness the manifold advantages of AI in digital marketing. The framework commences by illuminating the pivotal role of AI in the marketing study phase. Powered AI takes charge of data collection, rational AI conducts market analysis, and feeling AI delves into the intricate realm of customer behaviour. These three facets of AI work in tandem to provide marketers with an unparalleled understanding of their target audience, laying the foundation for data-driven decision-making. As the marketing process advances into the strategy phase, AI continues to play a central role. In particular, mechanical AI becomes the linchpin in segment identification, providing marketers with valuable insights into segment credit.
    URI
    http://10.10.11.6/handle/1/20803
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    • SCHOOL OF COMPUTING SCIENCE & ENGINEERING [52]

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