Artificial Intelligence in Marketing

Artificial Intelligence in Marketing

Artificial marketing is, used to bring the gap closer between the implementation of marketing strategies and analytics (Marinchak et al, 2018). A.I in marketing is, regarded as the usage of machine learning, computational concepts, and customer data to forecast an individual’s inaction or action.  With relevant and insightful data, marketers can categorize the data into various segments in a convenient manner.  This allows marketers to divide the data to build personalized content for the target audience (Davenport et al, 2020).  With the implementation of A.I in marketing, the organizations can structure marketing analytics approaches so that they can reach their target customers. This will support digital marketers to provide their customers with the appropriate content at the right time and through the right channel. 

A.I marketing permits the marketers to crunch large concerning the marketing data analytics from the web, emails, social media channels and web within a short period (Thiraviyam, 2020). The insights derived from the marketing insights will assist the marketers in promoting their marketing campaigns, advertisement, product launch, and other activity. This, in turn, helps the organization to get the return of investment in a faster manner thus giving time to the markers to concentrate on other marketing activities (Cannella, 2018). A.I is, used by the marketers to increase the content of the marketing to comprehend the new and existing customers. This allows the marketers to create personalized content or solutions for the customers thus improving the customer experience. Providing personalized content or solution to the customers allows the company to increase the sales of a particular product or service (Kose and Sert, 2017).

A.I in general is, largely used by the marketers to identify the future and current marketing trends. This is, attained by joining real-time conversations. Programmatic ad marketing is also gaining momentum as by visiting the existing cookies provided by the A.I allows the marketer to retarget or redesign the advertisement and promotional activities (Yang and Siau, 2018).

 

Bibliography

Cannella, J., 2018. Artificial Intelligence In Marketing (Doctoral dissertation, Honors Thesis. Arizona State University).

Davenport, T., Guha, A., Grewal, D. and Bressgott, T., 2020. How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), pp.24-42.

Kose, U. and Sert, S., 2017. Improving content marketing processes with the approaches by artificial intelligence. arXiv preprint arXiv:1704.02114.

Marinchak, C.L.M., Forrest, E. and Hoanca, B., 2018. The impact of artificial intelligence and virtual personal assistants on marketing. In Encyclopedia of Information Science and Technology, Fourth Edition (pp. 5748-5756). IGI global.

Thiraviyam, T., 2018. Artificial intelligence marketing.

Yang, Y. and Siau, K., 2018. A qualitative research on marketing and sales in the artificial intelligence age. Midwest United States Association for Information Systems (MWAIS) 2018 proceedings.