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The Automotive Industry's Digital Marketing: A Comparison of Traditional and Digital Marketing Techniques

Published:13 April 2022Publication History

ABSTRACT

The phrase "digital marketing" refers to the different promotion and advertising activities/techniques utilized to engage with clients via digital channels. Digital marketing aids in the education of end users about products, their features, values, advantages and disadvantages, and large-scale promotions. The auto market in Uzbekistan, which has a significant number of prospective consumers, is thriving, with a wide range of options/varieties accessible and a coupled cutthroat rivalry in which every firm is fighting for survival. In the current circumstances and environment, digital marketing may be quite useful in promoting businesses, ideas, services, and concepts. With the rise of the IT & Communication sector, where almost every Uzbek has access to the internet via computer systems, mobile phones, or tablets, the internet is gradually infiltrating the core of every industry, including the automobile industry, empowering customers to seek relevant information about anything they want. The main purpose of this study is to discuss how digital marketing influences decision-making in Uzbekistan's automobile industry, mainly Lada brand. The research compares traditional marketing methods with digital marketing approaches utilized in the automobile industry. The research is based on consumer input about their pre- and post-purchase experiences with automobiles purchased through Digital Marketing and Traditional Buying Methods.

The research is being carried out in Uzbekistan with the help all Lada dealerships by using a structured questionnaire. To compare conventional marketing with digital marketing techniques, many statistical methods are used. It provides marketers insight into how to position their goods in this competitive market.

References

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  • Published in

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    ICFNDS '21: Proceedings of the 5th International Conference on Future Networks and Distributed Systems
    December 2021
    847 pages
    ISBN:9781450387347
    DOI:10.1145/3508072

    Copyright © 2021 ACM

    © 2021 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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    Publication History

    • Published: 13 April 2022

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