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Uw Digital Communications Social Media Is Not Search
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Transcript of Uw Digital Communications Social Media Is Not Search
Why Social Media is NOT a Replacement for Search OptimizationUniversity of Washington Digital Communications
February 1, 2010
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Ubiquitous Agenda Slide
1. Search Engines & the Evolution of the Web•Search Distraction•Search Ennui
2. Social Media•Growth•Usage•Twitter•Facebook
3. Intersection of Search & Social Media•New Forms of Relevance
4. Dark Side of Search•Consolidation of power•Search Engine Bias
5.Resources
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Evolution of the WebGoogle claims to have found 1 trillion URLs
There are approximately 320 million new pages added to the Web every week
•Shelf life of a page is roughly 1 year
•80% of links are replaced within 1 yearThere’s a lot of Web junk out
there•15% of pages change
weekly
•Mostly small changes
Googlearchy : dominant Web sites become more firmly entrenched in search results by nature of sizeOlder sites rewarded for
longevity
Link rich get richer
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Search DisorientationThere is now too much to choose from in search results• Berrypicking on Steroids
Searchers do not know “how to search”• 56% constructed poor queries
• Did not suite their information need
• Were too generic
• 95% did not use any operators to refine query
• 92% used information from a single resource
• 28% had difficulty maintaining orientation on a website• Searchers hop-scotching from
result to result
• 33% had difficulty navigating/orienting search results
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Search Ennui
Over confidence in search effectiveness for all searches
36% did not go beyond the first 3 search results • not pages…results on page 1
91% did not go beyond the first page of search results
55% selected irrelevant results 1 or more times
Too lazy to switch?•My own Facebook poll
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Social MediaConnection with friends, family, colleagues
Blogs
•Facebook/MySpace
•Instant Messaging
•Skype
http://www.marketing-online.co.uk/wiki/File:Social_Media_Statistics.png
Largest participation, largest growth sector is uploading photos
•Video sharing next
Most social media participants are passive consumers
•More activity = steep drop in participation
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Key Online Demand Generation Activities
Customer Engagement media activates
Search for brand online = 67.2%
Social Media Activities• Read Blogs: 26.90%
• Play Company Online Games: 25.30%
• Post reviews: 35.20%
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The numbers of new people joining Twitter has declined
The level of Twitter engagement is low – a majority of the users follow very few and have low tweet volume
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Facebook350 million active users
• 65 million mobile users (50% more active than non-mobile users)
• 70% of users are outside of the U.S.• 35 million users update status daily
Average user is a member of 12 groups
Average user has 130 friends
500,000 active applications
250 applications with more than 1 million active users
http://www.facebook.com/press/info.php?statistics
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Intersection of Search & Social Media
Reveal valuable information about conversations around brand or key phrases related to products & services
• Terms for optimization• Locations where
conversation is taking place• Trends over time
Shared search information• Heystaks
http://www.heystaks.com/
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How Search Engines Determine Influential Bloggers
If a blog post has a large number of inlinks, then it is more likely to be influential. • influence of a blog post depends on the influence of the blog posts referencing it:
The more influential the blog posts that refer to this blog post, the more influential this blog post becomes.
The influence of a blog post could depend on the amount of discussion it initiated. • Little or no discussion = did not arouse others' interests or their contents were not
appealing. • Large number of comments indicates that the particular blog post affects many
people so they care to write comments.
If a blog post refers to many articles or other blog posts, it is less likely to be an innovative piece
• Keller and Berry have listed innovativeness as an essential property of being influential in a physical community.
• The number of outlinks reflects how innovative a blog post is.
An influential blog post is often well written., i.e. eloquent, descriptive, logical, insightful, authoritative, rhetoric, relatively self-contained.
• The length of a blog post (¸) is a heuristic measure checking if post is influential or not.
More About Search
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New Formulas for Relevance
Behavioral: Microsoft: Compares snippets of Web search engine results with data collected from user behavior and client, Google: user bookmarks [online and client] used to construct “personalized search object” that is used to filter Web search results
•Query
•Click through
•Currency
•Time on page
Social: The wisdom of crowds•Annotation
•Bookmarks
•Sharing
•Subscription
Universal: text, image, audio, video
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Search v.Next
Google: Focus on user-centric data associated with relevance ranking and storage enhancements for multiple data types
•Improving Search using Population Information (November 2008)•Rendering Context Sensitive Ads for Multi-topic searchers (April 2008)•Presentation of Local Results (July 2008)•Detecting Novel Content (November 2008)•Document Scoring based on Document Content Update (May 2007)•Document Scoring based on Link-based Criteria (April 2007)
Microsoft: Launches “decision engine” with focus on multiple meaning (contexts) as well as term indexing and topic association and tracking
•Calculating Valence of Expressions within Documents for Searching a Document Index (March 2009)•Efficiently Representing Word Sense Probabilities (April 2009)•Tracking Storylines Around a Query (May 2008)•Document Segmentation based on Visual Gaps (July 2006)
Yahoo: focus on display indicators of relevance, either user, publisher or system employed
•Systems and Methods for Contextual Transaction Proposals (July 2006)•Delivering Items Based on Links to Resources Associated with Results (April 2008)•Web Activity Monitoring System with Tracking by Categories and Terms (December
2006)
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The Dark Side
Scale issues•Low index ratio: Just because the spider hits your page, doesn’t
mean you are in the index
Quality issues•Duplicate content: an issue for dynamically rendered sites
•Form over substance
Search Engine agenda•Monetizing search – how they store and use data collected from
search logs
•Consolidation of Power
•International Politics of Search
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Consolidation of Power
While it's easy to see the user empowerment and democratization implicit in web 2.0, it's also easy to overlook the enormous power that is being accrued by those who've successfully become the repository for our collective intelligence. Who owns that data? Is it ours, or does it belong to the vendor?
Tim O’Reilly, 2006
• 2 billion searches a day worldwide• Cookie with 5 year expiration• data storage and manipulation on a monumental scale
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International Politics of Search
Not all pages found are indexed
Google indexes more sites
Academic and EDU sites from the U.S. and get the most coverage
U.S. sites have a statistically better chance of more complete indexing•China has the lowest average coverage rate
•US: 93.6% indexed, China: 79.8% indexed
In-links DO matter across the board, regardless of site type
Smaller coverage more pronounced in .com and .gov sites
Type US % China % Sing % Taiwan %
COM 94.8 67.6 67.9 78.6
GOV 98.3 77.9 94.5 97.9
ORG 82.1 79.3 87.9 86.0
AVG 91.8 74.9 83.4 87.5
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Google US: “ Tiananmen Square”
Showcasing Google’s preference for Wikipedia
Majority of results are on massacre
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Google China
Generic tourism results
Tourism photos
Filtered from outside as well as inside China
Google US
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Google FranceShowcase Google’s preference for Wikipedia
BBC result
News photos document protest
General Tourism sites
Google US
UW Digital Communications04/08/202321
Resources
Social Media Usage Statistics http://www.marketing-online.co.uk/wiki/Social_Media_Usage_Statistics
Razorfish Digital Feed 2009 http://feed.razorfish.com/feed09/the-data/
Hubspot Twitter Usage Report http://www.hubspot.com/Portals/53/docs/01.10.sot.report.pdf
Ignite Social Network Analysis Report http://hbr.org/2010/01/the-hbr-list-breakthrough-ideas-for-2010/ar/1
Identifying Influentials in the Blogsosphere: Agarwal, Liu, Tang
Search & Social Media: http://palblog.fxpal.com/?p=2814
UW Digital Communications04/08/202322
Thank You
Marianne Sweeny
Search Services
M 206.898.3786
D 425.519.7700