Search results for "Customer analytics"

showing 2 items of 2 documents

Customer Perception Driven Product Evolution - Facilitation of Structured Feedback Collection

2016

Competitive environment not only requires effective advertising strategies from the product producers and service providers, but also to do comprehensive and sufficient analysis of their customers to understand their needs and expectations. Successfully involving customers into a product/service co-creation process, companies more likely increase their future revenue. Customer feedback analysis is widely applied in marketing and product development. Among other challenges (e.g. customer engagement, feedback collection, etc.) automation of customer feedback analysis becomes very demanding task and requires advance intelligent tools to understand customers’ product perception and preferences.…

ta113structured feedback collectionKnowledge managementComputer sciencebusiness.industry05 social sciencessemantic customer feedbackCustomer perception02 engineering and technologycustomer analytics020204 information systems0502 economics and businesssemantic personalization0202 electrical engineering electronic engineering information engineeringFacilitation050211 marketingProduct (category theory)businesstriple generation supportproduct customizationProceedings of the 12th International Conference on Web Information Systems and Technologies
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Using AI to personalise emotionally appealing advertisement

2019

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…

verkkomainontaDigital marketingbusiness.industryEmerging technologiesComputer sciencesocial mediaBig dataConceptual model (computer science)sosiaalinen mediaAdvertisingtekoälyHMartificial intelligenceAppeal to emotionpersonalised adCustomer analyticsAnalyticsemotional appealSocial mediabusinesstäsmämarkkinointionline behavioural advertising
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