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- Existing_visitor_optimisation abstract "Existing visitor optimisation (EVO) is a discipline of optimising websites to maximise return from existing visitors rather than through search engine optimisation (SEO). While SEO is useful to gain more visitors, EVO looks at types of neuromarketing and psychology to optimise the language and layout elements of websites to maximise the benefits of the increased visitors.Strategies that may be employed include asking \"how many would you like\" rather than offering an \"add to cart\" button on e-commerce sites. EVO is a concept that works closely with existing marketing concepts such as the utilisation of social media. Initially investigated by a PhD student from Exeter University and The University College Plymouth St Mark & St John to provide a solid foundation to making the most of existing websites and building on the work of Jakob Nielsen, EVO was first presented at York St. John University as part of a post-graduate conference in 2008.In 2010, during the Second International NLP Research Conference (hosted by Cardiff University and co-organised by Paul Tosey of The University of Surrey in association with The association of NLP, ANLP), EVO was expanded to include email optimisation using the same psychological models.".
- Existing_visitor_optimisation wikiPageExternalLink www.exeter.ac.uk.
- Existing_visitor_optimisation wikiPageExternalLink www.marjon.ac.uk.
- Existing_visitor_optimisation wikiPageExternalLink w3.yorksj.ac.uk.
- Existing_visitor_optimisation wikiPageExternalLink index.asp?CatName=NLP%20Research%20and%20Conference&CatID=53.
- Existing_visitor_optimisation wikiPageExternalLink www.cardiff.ac.uk.
- Existing_visitor_optimisation wikiPageExternalLink stockholm.
- Existing_visitor_optimisation wikiPageExternalLink www.plymouth.ac.uk.
- Existing_visitor_optimisation wikiPageExternalLink www.surrey.ac.uk.
- Existing_visitor_optimisation wikiPageExternalLink paul_tosey.
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- Existing_visitor_optimisation wikiPageRevisionID "641396633".
- Existing_visitor_optimisation wikiPageWikiLink Association_for_Neuro_Linguistic_Programming.
- Existing_visitor_optimisation wikiPageWikiLink Cardiff_University.
- Existing_visitor_optimisation wikiPageWikiLink Category:Marketing.
- Existing_visitor_optimisation wikiPageWikiLink E-commerce.
- Existing_visitor_optimisation wikiPageWikiLink Internet_Marketing_Conference.
- Existing_visitor_optimisation wikiPageWikiLink Jakob_Nielsen_(usability_consultant).
- Existing_visitor_optimisation wikiPageWikiLink Marketing.
- Existing_visitor_optimisation wikiPageWikiLink Neuro-linguistic_programming.
- Existing_visitor_optimisation wikiPageWikiLink Neuromarketing.
- Existing_visitor_optimisation wikiPageWikiLink Plymouth_University.
- Existing_visitor_optimisation wikiPageWikiLink Psychology.
- Existing_visitor_optimisation wikiPageWikiLink Search_engine_optimization.
- Existing_visitor_optimisation wikiPageWikiLink Social_media.
- Existing_visitor_optimisation wikiPageWikiLink University_of_Exeter.
- Existing_visitor_optimisation wikiPageWikiLink University_of_St_Mark_&_St_John.
- Existing_visitor_optimisation wikiPageWikiLink University_of_Surrey.
- Existing_visitor_optimisation wikiPageWikiLink Website.
- Existing_visitor_optimisation wikiPageWikiLink York_St_John_University.
- Existing_visitor_optimisation wikiPageWikiLinkText "Existing visitor optimisation".
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- Existing_visitor_optimisation subject Category:Marketing.
- Existing_visitor_optimisation hypernym Discipline.
- Existing_visitor_optimisation type Sport.
- Existing_visitor_optimisation type Redirect.
- Existing_visitor_optimisation comment "Existing visitor optimisation (EVO) is a discipline of optimising websites to maximise return from existing visitors rather than through search engine optimisation (SEO).".
- Existing_visitor_optimisation label "Existing visitor optimisation".
- Existing_visitor_optimisation sameAs Q5420368.
- Existing_visitor_optimisation sameAs زيادة_مثلى_للزوار_الحاليين.
- Existing_visitor_optimisation sameAs m.0g5sfb9.
- Existing_visitor_optimisation sameAs Q5420368.
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