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2020 | OriginalPaper | Buchkapitel

10. Using AI to Personalise Emotionally Appealing Advertisement

verfasst von : Emmanuel Mogaji, Sunday Olaleye, Dandison Ukpabi

Erschienen in: Digital and Social Media Marketing

Verlag: Springer International Publishing

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Abstract

Personal data and information collected online by companies can be used to design and personalise advisements. This chapter extends existing research into the online behavioural advertising by proposing a model that incorporates artificial intelligence and machine learning into developing emotionally appealing advertisements. It is proposed that big data and consumer analytics collected through AI from different sources will be aggregated to have a better understanding of consumers as individuals. Personalised emotionally appealing advertisements will be created with this information and shared digitally using pragmatic advertising strategies. Theoretically, this chapter contributes towards the use of emerging technologies such as AI and Machine Learning for Digital Marketing, big data acquisition, management and analytics and its impact on advertising effectiveness. With customer analytics making up a more significant part of big data use in sales and marketing and GDPR ensures data are legitimately collected and processed, there are practical implications for Managers as well. Acknowledging that this is a conceptual model, the critical challenges are presented. This is open for future research and development both from academic, digital marketing practitioners and computer scientists.

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Titel: Using AI to Personalise Emotionally Appealing Advertisement
verfasst von: Emmanuel Mogaji
Sunday Olaleye
Dandison Ukpabi
Verlag: Springer International Publishing
Buch: Digital and Social Media Marketing
Print ISBN: 978-3-030-24373-9

Electronic ISBN: 978-3-030-24374-6

Copyright-Jahr: 2020
DOI: https://doi.org/10.1007/978-3-030-24374-6_10

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