We get two major things out of this data: SESSIONS and FREQUENT QUERIES
Start with AIGA via Google AnalyticsThen move to MSU via Excel spreadsheetThen show WW Norton session table
But first, a little quiz: 1) How many know who their primary audiences are? 2) And, how many know what the main tasks and topics those audiences need to get from your site?If not, then… what’s the point?
Deleting term may come back to bite you
Augment with SSA
Field study example: use clothing retailer that found SKUs in its logs when SKUs didn’t appear on its ecommerce site
SEO benefits: Local queries might serve as predictors of future keywords
Site Search Analytics Workshop PresentationPresentation Transcript
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album pages artist descriptions
TV listings
album reviews discography artist bios
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From SLI Systems (www.sli-systems.com)
Persona example (from
Adaptive Path)
Frequent queries added (in
green)
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1. Beyond diagnostics: SSA as a
predictive tool (example: Financial
Times)
2. The business of not converting:
moving beyond transactions toward
holistic user experience
123.45.67.89 - 25/Mar/2006 10:15:32 –
http://www.ipodstuff.com/search?q=nanotubes - Firefox 1.0.7;
Windows NT 5.1 - 740674ce2123e969
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Bridget Suddendorf
http://www.neotericuk.co.uk/seo.php 4 years ago