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A Neuro-marketing Approach: Testing Contents for Digital Marketing Campaigns

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dc.contributor.author Jayasinghe, W.S.
dc.contributor.author Abeysekara, N.
dc.date.accessioned 2021-12-17T08:06:57Z
dc.date.available 2021-12-17T08:06:57Z
dc.date.issued 2021
dc.identifier.citation Jayasinghe, W.S., Abeysekara, N. (2021). A Neuro-marketing Approach: Testing Contents for Digital Marketing Campaigns. Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka, p.96. en_US
dc.identifier.issn 2465-6399
dc.identifier.uri http://repository.kln.ac.lk/handle/123456789/24234
dc.description.abstract Whilst digital marketing is growing exponentially, the conversion rate stands significantly low compared to traditional marketing practices, as a result of engagement challenges in digital media. Customer Engagement (CE) is an important factor for business success and in the digital marketing sphere, content is the only way of curating engagement. Content generates stimuli and patterns in the human brain which can map using EEG and PET, which referrers to as Neuro-marketing. Support vector machine and k-nearest are machine learning algorithms used for encoding recorded images. Existing literature has discussed, employing consumer cocreation theory in conjunction with Neuro-marketing for CE research. Though it is a highly successful methodology, the cost of implementing is high and complicated. This empirical research aims to conceptualize a cost-effective model for content AB testing with deep insights. en_US
dc.publisher Faculty of Commerce and Management Studies, University of Kelaniya en_US
dc.subject Content, Customer engagement, Digital marketing, Neuro-marketing en_US
dc.title A Neuro-marketing Approach: Testing Contents for Digital Marketing Campaigns en_US


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