An analysis of new visitors' website behaviour before &amp; after TV advertising

Medvediev, K; Xu, G; Berkovsky, S; Onikienko, Y

An analysis of new visitors' website behaviour before & after TV advertising

Medvediev, K Xu, G

Berkovsky, S Onikienko, Y

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Publication Type:: Conference Proceeding
Citation:: 2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015, 2015, pp. 109 - 115
Issue Date:: 2015-12-24

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Field	Value	Language
dc.contributor.author	Medvediev, K	en_US
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663	en_US
dc.contributor.author	Berkovsky, S	en_US
dc.contributor.author	Onikienko, Y	en_US
dc.date.issued	2015-12-24	en_US
dc.identifier.citation	2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015, 2015, pp. 109 - 115	en_US
dc.identifier.isbn	9781467387835	en_US
dc.identifier.uri	http://hdl.handle.net/10453/41841
dc.description.abstract	© 2015 IEEE. This paper explores and analyses the actions of users on an e-commerce website after they have watched TV-advertising. The analysis considers factors such as month, day and time of the website visit. This article utilises visualization tools for the analysis of the frequency ratios (probabilities) of searches, conversions, bookings made by new visitors on the website.	en_US
dc.relation	http://purl.org/au-research/grants/arc/LP140100937
dc.relation.ispartof	2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015	en_US
dc.relation.isbasedon	10.1109/BESC.2015.7365967	en_US
dc.title	An analysis of new visitors' website behaviour before & after TV advertising	en_US
dc.type	Conference Proceeding
utslib.for	080101 Adaptive Agents and Intelligent Robotics	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. This paper explores and analyses the actions of users on an e-commerce website after they have watched TV-advertising. The analysis considers factors such as month, day and time of the website visit. This article utilises visualization tools for the analysis of the frequency ratios (probabilities) of searches, conversions, bookings made by new visitors on the website.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/41841

An analysis of new visitors' website behaviour before &amp; after TV advertising

An analysis of new visitors' website behaviour before & after TV advertising