6. Be just as good as
Google - in 3 small steps:
1. Index everything you want to search
2. Design a search form:
3. Show the best results first when people search on your site
Search!
15. Google vs You
Google
• Billions of documents
• User behaviour data from
hundreds of millions of users
• 50.000+ employees
Your search engine
• 100-100.000 documents
• Probably not used very much
• 0-1 employees
19. your site, they’re telling you in their own words
m your organization. In Search Analytics for Your Site,
ws you how to harvest and analyze search query
ur site’s search performance, content, navigation,
ness, and overall user experience.
dback will improve any site’s user experience, why aren’t we spending
ords our audience uses when asking us for stuff? I can’t imagine a more
Rosenfeld to help us put this amazing data to work.”
te lays out pretty much everything you need to know to mine your query
sitive customer experience.”
Demystified
lytics for Your Site is a superlative work from the initial story to the final
lytics and UX practice. Great book!”
oks that makes me pound the table with my fist and yell, ‘Yes! Exactly!
g it.”
nt Strategy for the Web
OR YOUR SITE
ks/searchanalytics/
SE ARCH ANALY TICS FOR YOUR SITE
Conversations with Your Customers
by LOUIS ROSENFELD
forewords by Steve Krug and Avinash Kaushik
SEARCHANALYTICSFORYOURSITEbyLOUISROSENFELD
26. Old – Jan 31 New – Jan 31 New – Feb 22 New – Apr 17
0
2,5
5
7,5
10
4,2
9,3
1,74
1,27
Average position of best result
27. Most common queries
1. Find the 50 most used queries in your search statistics, or as
many as you have time for
2. Perform a search for each query
3. Decide which result is the best
4. Write down the position of the best result
5. Calculate the average
6. Repeat from time to time
32. «Long tail» queries
1. Take 100 randomly selected queries from the «long tail»
2. Categorise them
3. Perform a search for each query
4. Decide which result is the best
5. Write down the position of the best result
6. Calculate the average
7. Repeat from time to time
34. How to measure
1. Find the 50 most used queries in your search statistics, or as
many as you have time for
2. Perform a search for each query
3. Rate the five first results from A to C
A. Perfect result
B. Not perfect, but the user will get to the right page
C. Irrelevant
35. Relevance
Query Result #1 Result #2 Result #3 Result #4 Result #5
Relevance
(strict)
Relevance
(less strict)
mesys A B B B B 20 % 100 %
glasses A B C C C 20 % 40 %
cell phone A C B B B 20 % 80 %
Average 20 % 73 %