Today, in the rapidly changing digital world, combining AI with traditional marketing can yield tremendous results. This paper elucidates the potential of AI for automation and customization in digital marketing. There are two chief issues with old-school approaches to online advertising: they cannot scale well enough and thus cannot be customized for use on different demographics. In addition, targeting inaccuracies due to manual processes may lead to ineffective campaigns. To overcome these hurdles, this research suggests the integration of Automation and Personalization using Artificial Intelligence Technology (AP-AIT) into digital marketing strategies. The utility of AP-AIT permits marketers to cope with massive volumes of campaigns at the same time as providing personalised content material and reviews for each customer phase. The real-time statistics evaluation also enabled with the aid of machine learning capabilities helps AP-AIT optimize engagement metrics ensuing in stepped forward performance on conversion rates which finally ends in improved client loyalty over an prolonged period of time. The outcomes acquired from this observe provide a strong basis for knowledge the profound implications that AP-AIT has in remodeling how corporations interact their clients digitally via computerized personalisation strategies driven by way of synthetic intelligence programs along with chat bots. Businesses who contain AI’s automation—pushed personalization can acquire unmatched performance degrees, effectiveness costs in addition to general satisfaction among customer undertaking such advertising initiatives as by no means seen before.

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AI Applications in Digital Marketing Interms of Automation and Personalization

  • Hanan Mohammad Almomani,
  • Anber Abraheem Shlash Mohammad,
  • Sulieman Ibraheem Mohammad,
  • Muhammad Turki Alshurideh,
  • Badrea Al Oraini,
  • Sami Smadi,
  • Asokan Vasudevan,
  • Faisal Asad Farid Aburub,
  • Faraj Mazyed Faraj Aldaihani

摘要

Today, in the rapidly changing digital world, combining AI with traditional marketing can yield tremendous results. This paper elucidates the potential of AI for automation and customization in digital marketing. There are two chief issues with old-school approaches to online advertising: they cannot scale well enough and thus cannot be customized for use on different demographics. In addition, targeting inaccuracies due to manual processes may lead to ineffective campaigns. To overcome these hurdles, this research suggests the integration of Automation and Personalization using Artificial Intelligence Technology (AP-AIT) into digital marketing strategies. The utility of AP-AIT permits marketers to cope with massive volumes of campaigns at the same time as providing personalised content material and reviews for each customer phase. The real-time statistics evaluation also enabled with the aid of machine learning capabilities helps AP-AIT optimize engagement metrics ensuing in stepped forward performance on conversion rates which finally ends in improved client loyalty over an prolonged period of time. The outcomes acquired from this observe provide a strong basis for knowledge the profound implications that AP-AIT has in remodeling how corporations interact their clients digitally via computerized personalisation strategies driven by way of synthetic intelligence programs along with chat bots. Businesses who contain AI’s automation—pushed personalization can acquire unmatched performance degrees, effectiveness costs in addition to general satisfaction among customer undertaking such advertising initiatives as by no means seen before.