2022
DOI: 10.4018/978-1-6684-5897-6.ch002
|View full text |Cite
|
Sign up to set email alerts
|

Towards Using Artificial Intelligence in Neuromarketing

Abstract: AI, when applied to the domain of neuromarketing, can help to model consumers' preferences, which can be leveraged by marketers in creating products or brand strategies that yield a good market value. Unlike focus groups and surveys where there is a possibility of masking the actual opinions and feelings of people to certain products and stimuli, AI can help to effectively capture data regarding impact of brain signals in response to certain stimuli. This study will be largely focused on connecting the dots be… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
3
0
3

Year Published

2023
2023
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 10 publications
(6 citation statements)
references
References 2 publications
0
3
0
3
Order By: Relevance
“…AI technology can deeply analyze content on websites and social media platforms, understanding and grasping its background and context. This capability enables it to calculate automatic ad pushes combined with user scenarios, precisely determining the best background for placing ads to ensure the content’s relevance and adaptability to its placement environment and target audience (Bansal & Gupta, 2023). This targeting strategy not only improves the adaptability and effectiveness of the advertisement but also reduces user antipathy and interference, enhancing user acceptance.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…AI technology can deeply analyze content on websites and social media platforms, understanding and grasping its background and context. This capability enables it to calculate automatic ad pushes combined with user scenarios, precisely determining the best background for placing ads to ensure the content’s relevance and adaptability to its placement environment and target audience (Bansal & Gupta, 2023). This targeting strategy not only improves the adaptability and effectiveness of the advertisement but also reduces user antipathy and interference, enhancing user acceptance.…”
Section: Discussionmentioning
confidence: 99%
“…For example, a group of researchers studied the domain of Targeting (Bateni et al, 2017;Choi & Lim, 2020;Helsloot et al, 2018;M€ uhlhoff & Willem, 2023;Theodoridis & Gkikas, 2019). Another group explored the domain of Personalization (Bansal & Gupta, 2023;Campbell, Plangger, Sands, Kietzmann, Bates, 2022;Chandra et al, 2022;Nikolajeva & Teilans, 2021). Some researchers have also studied content creation (Aguilar & Garcia, 2017;Bakpayev et al, 2022;Omar et al, 2022;Smith, 2020;Sun et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…By harnessing data patterns, AI can improve tailored advertising and comprehend audience interactions better. AI can collect consumer behaviour data from social media, browsing, and online shopping to identify patterns and preferences (Bansal & Gupta, 2023). According to Kumar et al (2019), marketers can generate, communicate, and provide individualized offers to customers by combining AI with personalized marketing.…”
Section: A Personalisation In Ai Eramentioning
confidence: 99%
“…Upravo je uloga osjetila i emocija važna u pozicioniranju određenih brendova na tržištu jer oni ne zadovoljavaju samo osnovne potrebe potrošača, nego stvaraju veze između brenda i kupaca (Bansal, Gupta, 2023;Lindstrom, 2009). Niz autora (Šola, 2016;Singh, Srivastava, 2011;Lindstrom, 2009Lindstrom, , 2008Foxall i sur., 2007;Holland i sur., 2005) piše o tome kako se u trgovačkim centrima mogu primijetiti vizualni, auditivni, olfaktorni i taktilni podražaji koji stvaraju afilijaciju potrošača prema određenim brendovima te posljedično dovode do konverzije, odnosno kupnje.…”
Section: Uvodunclassified
“…Precizniju i detaljniju povratnu informaciju o emocijama potrošača omogućuje razvoj novih tehnologija, poput umjetne inteligencije. Tako sinergija neuromarketinga i umjetne inteligencije dovodi do kvalitetnijega uvida i mjerenja emocija potrošača (Bansal, Gupta, 2023;Mouammine, Azdimousa, 2019), ali i do osmišljavanja i oblikovanja potrošačkih preferencija. Alatima umjetne inteligencije često se analiziraju sadr-S o u t h E a s t e r n E u r o p e a n J o u r n a l o f C o m m u n i c a t i o n…”
Section: Uvodunclassified