Automation Marketing Strategy Choice in the Field of Internet Business Based on User Preferences

Kotsyuba, Igor; Baburova, Tamara; Shikov, Alexey; Silko, Julia

doi:10.1007/978-3-030-81619-3_94

Cited by 1 publication

(3 citation statements)

References 11 publications

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“…A comparison of the proposed approach with existing ones-analogs [39][40][41] is illustrated in Table 5. In contrast to analogs, which enable only partial attraction of potential customers with their subsequent transition to regulars, the developed intelligent information system makes it possible to automate the selection of competitive products and the creation of advertising content.…”

Section: Discussionmentioning

confidence: 99%

“…Kotsyuba et al [40] analysed the principles of operation of existing software analogues, considered the methods of choosing a marketing strategy in the field of Internet business, and developed and tested algorithms based on user preferences. However, there is a lack of a systematic approach that facilitates methods of permanent work with customers.…”

Section: Related Workmentioning

confidence: 99%

“…After that, the description and characteristics of each product can be edited. In addition, the system can automatically download the corresponding product to the online store, which works on the basis of the intelligent method of forming the product catalog [40]. Figure 9 shows how this method works with the addition of the selected product.…”

Section: Implementation Of Intelligent Systemmentioning

confidence: 99%

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Intelligent Information System for Product Promotion in Internet Market

Lipianina-Honcharenko,

Wolff,

Sachenko

et al. 2023

Applied Sciences

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The influence of Internet marketing has grown so much that producers must now reconfigure their businesses from offline operation to online presence simply to meet user expectations. Thus, the development of an intelligent information system for product promotion online is quite relevant. It may lead to automatized selection of competing products and advertising content, a subsequent increase in the effectiveness of advertisements, and a decrease in costs for Internet ad placements. The paper presents the approach for creating an intelligent information system for product promotion in online spaces that makes it possible to reduce advertising costs. A methodology is based on outcomes of own previous studies as well as the flow nature and semantics of data streams. The framework of the proposed intelligent system includes the four key procedures and functions: intelligent formation of keywords for advertising content based on feedback, intelligent formation of product catalogs of online stores, generation of advertising content, and generation of improved advertising content and its targeting generation of text based on keywords. An experimental study confirmed that the effectiveness of posts on social media increased by at least 125%, while the price decreased by 87%.

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Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Implementation Of Intelligent Systemmentioning

confidence: 99%

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