Slideshow transcript
Slide 1: Web Visitor Identification Webanalytics or not ?
Slide 2: Need Atoms Atoms of metrix: Need to identify unique visitors on the website – How many people – What they read – How long they read – How often they return – At what frequency –
Slide 3: Web analytics Raw data: Is pageviews – Whom pages were served to – Generic data Sets of data to several different people –
Slide 4: Web analytics is not designed for: To identify: Which set of pages went to which visitor – Each path each visitor followed – The unique visitor – Location Origin Language Uniqueness
Slide 5: How to identify unique visitors Visitor footprints Browser language – Originating page – IP Geo-location – World time zone – By using Log files – Server link with Java script –
Slide 6: Who needs unique visitor Sales Needs to identify person – Needs to identify needs, requirements – Needs to know before communicating – Need to communciate – Message suited to the need Message on time Messasge in the right context
Slide 7: Features required Click path by unique visitor Time on each page by unique visitor Returning to specific pages Returning vistors Frequency of returning Total time per visit
Slide 8: Additional for B2B All data needs to be: Aggregated on company level – Drill down to unique visitor level –
Slide 9: Two solutions required Webanalytics for: Webmasters – Marketing – Web visitor identification for: Sales –
Slide 10: That was the message For more information: http://visitoridentification.fateback.com/ Thanks




Add a comment on Slide 1
If you have a SlideShare account, login to comment; else you can comment as a guest- Favorites & Groups
Showing 1-50 of 0 (more)