Site Search Analytics Workshop Presentation

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AND: About you?

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?

AvinashKaushik: “Trinity: A Mindset & Strategic Approach” (http://www.kaushik.net/avinash/2006/08/trinity-a-mindset-strategic-approach.html)

NAMES OF EXAMPLES: ASK RW

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

44 Favorites

Site Search Analytics Workshop Presentation - Presentation Transcript

  1. in an academic setting
  2. By AvinashKaushik
  3. Web Analytics practitioners User Experience practitioners Study and analyze users' behaviors Study and analyze users' intentions and (what's happening) motives (why those things happen) Rely on quantitative methods (e.g., Rely on qualitative methods (e.g., field clickstream analysis) for determining studies) for explaining why things happen what's happening Help users achieve their goals (often Help the organization meet its goals expressed as primary tasks or topics of (usually expressed as KPI) interest) Use data to measure performance through "Play" with data to uncover patterns and benchmarking and monitoring (top-down surprises (bottom-up analysis) analysis) Work with conceptual data (descriptive Work with statistical data ("real" data in data in small volumes, artificially generated large volumes and full of errors) in lab environment, and full of errors)
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  8. 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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  18. album pages artist descriptions TV listings album reviews discography artist bios 73
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  28. From SLI Systems (www.sli-systems.com)
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  34. Persona example (from Adaptive Path) Frequent queries added (in green)
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  38. 1. Beyond diagnostics: SSA as a predictive tool (example: Financial Times) 2. The business of not converting: moving beyond transactions toward holistic user experience

+ Louis RosenfeldLouis Rosenfeld, 2 years ago

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