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Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić Sematext International

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Page 1: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

Copyright 2011 Sematext Int'l. All rights reserved.1

Search Analytics

What? Why? How?

Otis Gospodnetić – Sematext International

Page 2: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

Copyright 2011 Sematext Int'l. All rights reserved.2

About Otis Gospodnetić

• Member: Apache Lucene, Solr, Nutch, Mahout

• Author: Lucene in Action 1 & 2

• Entrepreneur: Sematext, Simpy

Page 3: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

Copyright 2011 Sematext Int'l. All rights reserved.3

About Sematext

Products & ServicesConsulting, Development, Tech Support:

Search (Lucene, Solr, Elastic Search...) Big Data (Hadoop, HBase, Voldemort...) Web Crawling (Nutch) Machine Learning (Mahout)

Page 4: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Agenda

Intro: Otis & Sematext - DONE What Why Specific Reports & their value

Page 5: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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What is Search Analytics?

Input: queries and clicks Subsequent: actions / xactions / conversions Output: reports – over time

The means, not the goal Ongoing, not one-off

Page 6: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Search Analytics and SEO

Not the same SA can help with SEO

Page 7: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Search vs. Web Analytics

User intent and information needs vs. inferring Hand in hand Ideally you can relate data from both or even

unify it

Page 8: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Why Search Analytics?

Measure and monitor everything. Introspection. Supports (re)design, navigation choices Helps with content acquisition & enhancement Improve search experience Mula

Page 9: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report Groups

Failures vs. non-failures Actionable vs. non-actionable

Page 10: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Failures

Be aware of failures, but don't be one.

Zero hits Low query CTR High search exit rate Irrelevant results Over N refinements

Page 11: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report: Zero Hit Queries

Overall pct. (not raw count) vs. popular queries Misspellings? Synonyms? No matching content? Need (different) tagging? Bad analysis? Multilingual issue?

Page 12: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Page 13: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report: Zero Hit Queries (cont.)

Use Query Spellchecker (aka DYM) Using AutoComplete - $MM improvement Using DYM ReSearcher Designing No Results page

Page 14: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

Copyright 2011 Sematext Int'l. All rights reserved.14

Page 15: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

Copyright 2011 Sematext Int'l. All rights reserved.15

Page 16: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report: High Exit Rate Queries

Disappointed, frustrated users Major revenue loss, no second chance Marriage with Web Analytics Relevance bad? Default ordering bad? Titles of hits need adjusting? Search terms highlighting looking bad? Bad thumbnails? Need thumbnails?

Page 17: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report: Irrelevant Result Queries

Manual: top N hits of top N queries Judge relevance of each hit and assign score Per-query score: sum scores of top N hits Cumulative top N query score: sum per-query

scores

Automated: Mean Reciprocal Rank (MRR)

Page 18: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report: Total Queries

Search vs. navigation/browsing Search vs. overall site usage Related report: % of visits with search Segment: new users vs. return users, etc.

Questions: do you count paging? Facet selection? Re-sorting?

Page 19: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report: Total Distinct Queries

What's distinct? Car vs. Cars # Total Queries / # Distinct Queries = Avg. # Tied to performance and query cache utilization Extension: Total distinct words in queries

Page 20: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report: Words Per Query

Informative, slowly changing, not terribly actionable

Can affect search box size Use AutoComplete if queries are long

Page 21: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report: Top Queries

User intent and information needs Ensure good results Calculate MRR for top N queries Calculate MRR for each top N query Compare to global MRR

Page 22: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report: Top Queries (cont.)

New top queries – new trend? New demand? Best Bets (aka Query Elevation in Solr) Expose before search is needed Seasonality – hour of day, day of the week, etc.

Adjust content presentation and availability (e.g. week vs. weekend, business vs. personal)

Anticipate demand in the next cycle

Page 23: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Page 24: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Clickstream Analysis

Query analysis is not a complete story: Queries Clicks Actions / Transactions / Conversions

Page 25: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Query and Hit Valuation

Query: by popularity (count) Query: by CTR Query: by subsequent (trans)action count/pct.

Hit: by click count Hit: by subsequent (trans)action count/pct.

Page 26: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Query and Hit Valuation (cont.)

Maximize:pop(query) + ctr(query) + action(query)clicks(hit) + action(hit)

Failures:high pop(q), yet low ctr(q)

high pop(q), high ctr(q), yet low action(q)

Integration with backend required

Page 27: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report: Low CTR Queries

Percentage (not raw count) vs. popular queries Relevance bad? Default ordering bad? Titles of hits need adjusting? Search terms highlighting looking bad? Bad thumbnails? Need thumbnails?

Page 28: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Page 29: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Report: Queries with Most Clicks

i.e. Queries with Highest CTR Informative? Yes Actionable? Somewhat: expose relevant

content outside of search

Page 30: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Page 31: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Search Session

Search activity aimed at satisfying a specific information need in a some limited amount of time.

i.e. it's very fuzzy

Page 32: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Interesting Search Sessions

More than N queries in M minutes Sessions that end in a failure Sessions for specific type of info (e.g. person

name, product name, event)

Page 33: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Segmentation

Searches that resulted in conversion vs. not Search metrics for:

New vs. returning visitors English vs. French vs. Spanish vs. … Chrome vs. IE ...

Page 34: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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More SA Reports/Questions

% of queries from DYM vs. AC vs. typed Most common queries per clicked hit Which hits are generally popular? Which hits are trending up? Are there docs that are never ever clicked on? Average number of queries per session Breakdown of queries by number of hits

Page 35: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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More SA Reports/Questions

Breakdown of queries by latency Frequently used facets or sort criteria Avg number of clicks per query Time spent on site before/after searching Search initiation pages How deep into SERPs are people drilling? Are too many clicks on pages other than 1st? ...

Page 36: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Data Collection

Details in Search Analytics with Flume and HBase on http://slideshare.net/sematext

Page 37: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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Sematext's Search Analytics

Built with Flume, HBase, Hadoop, etc. Resulted in 2 open-source projects:

https://github.com/sematext/HBaseWD

https://github.com/sematext/HBaseHUT http://sematext.com/open-source/index.html

Resulted in patches for Flume and HBase

Page 38: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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We're Hiring

Dig Search?Dig Analytics?Dig Big Data?Dig Performance?

Dig working with and in open-source?

We're hiring world-wide!

http://sematext.com/about/jobs.html

Page 39: Copyright 2011 Sematext Int'l. All rights reserved. 1 Search Analytics What? Why? How? Otis Gospodnetić – Sematext International

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sematext.com blog.sematext.com @sematext @otisg [email protected]

Want SA? Grab me! http://sematext.com/search-analytics

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