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Media Channels SEO PPCSession 8
Georg Singer
georg.singer ät ut . ee
© Pearson Education Limited 2009
1/30Internet Marketing - UT Spring Semester
2011
Learning objectives
• Search engine marketing (today mainly SEO, adwords is learned in 2 hours)
• Online PR
• E-Mail marketing
• Affiliate marketing
© Pearson Education Limited 2009
2/30Internet Marketing - UT Spring Semester
2011
Importance of information sources for purchase decision
© Pearson Education Limited 2009
3/30Internet Marketing - UT Spring Semester
2011
Source:Brand new world (2004)
Types of search engine results pages in Google
© Pearson Education Limited 2009
6/30Internet Marketing - UT Spring Semester
2011
PPC
SEO
Google Adwords
90% traffic
Microsoft/Yahoo
adCenter
10% traffic
Relative traffic projections based on the ranking on search engine results pages
© Pearson Education Limited 2009
7/30Internet Marketing - UT Spring Semester
2011
Source: Atlas (2004) (http://www.atlassolutions.com/pdf/RankReport.pdf
Overture=Yahoo!
The Page Rank
• Link analysis algorithm named after Larry Page
• Numerical weighting to each element of a hyperlinked set of documents like WWW
• Relative importance of each element within the set important
• Numerical weight is called PageRank of E, PR(E)
• Page, L. et al., 1999. The PageRank Citation Ranking: Bringing Order to the Web. Available at: http://ilpubs.stanford.edu:8090/422/ [Accessed April 5, 2011].
4/8/2011Internet Marketing - UT Spring Semester
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Source http://en.wikipedia.org/wiki/PageRank
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http://en.wikipedia.org/wiki/PageRank
The Page Rank continued
Mathematical PRsOut of 100
PR of http://www.cnn.com/
Stages involved in producing a search engine listing for the organiclistings
© Pearson Education Limited 2009
10/30Internet Marketing - UT Spring Semester
2011
SERP=search engine results page
SEO ranking factors• On page optimisation:
– <title> tag = 4.9/5
– Keyword frequency and density = 3.7/5
– Keyword in headings = <h1> = 3.1, <h2> = 2.8
– Keyword in document name = 2.8
– Meta name description = 2/5
– Meta name keywords = 1/5
• Off-page optimisation:– More back(inbound)links (higher PageRank)= 4/5
– Link anchor text contains keyword = 4.4/5
– Page assessed as a hub = 3.5/5
– Page assessed as an authority = 3.5/5
– Link velocity (rate at which changes) = 3.5/5
See http://www.seomoz.org/article/search-ranking-factors© Pearson Education Limited
200911/30
Internet Marketing - UT Spring Semester 2011
Which factors affect returns from paid search?
• 1. Distribution of daily budget
• 2. Amount bid (Max CPC).
• * 3. Clickthrough rate
• * 4. Creative quality including creative testing
• * 5. Campaign structure
• * 6. Match types especially negative matches
• 7. Use of content network
• 8. Time-of-day (day parting)
• 9. Landing page quality
• * In Google AdWords, Live Search and Yahoo! Quality Score especially important
© Pearson Education Limited 2009
12/30Internet Marketing - UT Spring Semester
2011
1. A
ttrac
ting
visito
rs th
roug
h
sear
ch
3. Building
Cam
paign
Buzz
2. Engagem
ent
& D
ialogue
4. D
efen
sive
/ Cris
is
Online
PR
E-PR activities
o Surveys and polls
o Audience research:
o Social media inc
user-generated content
o Own blog
o Influencing media owners
E-PR activities
o Inbound link-building
o Content creation
o Blogs
o Feeds (RSS)
o Press releases
o Influencing media
owners
E-PR activities
o Brand protection
o Monitoring
and response:
o Social media
o Influencing media
owners
E-PR activities
o Propagating
‘big idea’
o Web editorial
contacts
o Viral agents
o Seeding viral
o Press releases
o Influencing media
owners
The key areas of online PR
© Pearson Education Limited 2009
16/30Internet Marketing - UT Spring Semester
2011
Mini Case Study – Cloud Computing Economics
• Cloud Computing Economics Research Group
• Set up Cloud-computing-Economics.com
• Goal:– Thought leader on Google for this area
– Drive organic traffic, 300-500 visitors a day• Through online PR and thought leadership
• Social Media
– Redirect traffic to product sites
– Convert traffic on product sites to sales (Ebooks, Analyzer..)
– 10k-15k visitors a month, 2% Conv. rate, 200 conversions X 30$=6.000$/per month
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Keyword Tool – “Cloud Computing”
• Keyword Competition Global Monthly Searches Local Monthly Searches google apps 0.1 4090000 0.52 1000000 clouding computing 0.52 1000000 0.52 1000000 saas 0.26 823000 web 2.0 0.1 673000 cloud microsoft 0.38 60500 is 0.42 49500 what is 0.43 40500 saas what is a 0.43 40500 what 0.43 40500 ppts what is the 0.43 40500 pdfs cloud service 0.41 27100 paper ppts on 0.29 27100 ppts 0.29 27100 powerpointpresentation 0.29 27100 benefits pdfs 0.19 18100 applications pdf 0.19 18100 business pdf on 0.19 18100 pdf 0.19 18100 security companies 0.83 18100 cloud it 0.18 18100 virtualization wiki 0.38 14800 wiki 0.38 14800 security 0.27 14800 and security 0.27 14800 security of 0.27 14800 security in 0.27 14800 the 0.24 14800 service 0.5 14800 business cloud 0.43 14800 cloud providers 0.8 12100 google 0.63 12100 google 0.63 12100 google and 0.63 12100 cloud computer 0.51 12100 how to 0.32 12100 microsoft0.6 9900 microsoft 0.6 9900 microsoft and 0.6 9900 architecture 0.33 9900 papers on 0.31 9900 papers 0.31 9900 services 0.57 8100 linux cloud 0.35 8100 application 0.38 8100 applications 0.38 8100 application of 0.38 8100 applications of 0.38 8100 define 0.44 8100 2010 0.23 8100 how to 0.43 6600 free 0.44 6600 free 0.44 6600 cloud database 0.47 6600 data 0.22 6600 business 0.47 6600 for business 0.47 6600 apps 0.43 6600 defined 0.45 6600 for dummies 0.71 5400 definition 0.44 5400 definition of 0.44 5400 definition 0.44 5400 elastic computing cloud 0.2 5400 software as a service 0.38 5400 grid computing 0.17 5400 grid 0.17 5400 grid and 0.17 5400 cloud grid computing 0.17 5400 paper 0.34 5400 research 0.22 5400 saas 0.37 5400 saas 0.37 5400 and saas 0.37 5400 software 0.54 5400 presentations 0.37 5400 presentation 0.38 4400 technologies 0.34 4400 virtualization 0.3 4400 virtualization 0.3 4400 virtualization and 0.3 4400 and virtualization 0.3 4400 virtualization in 0.3 4400 conferences 0.35 4400 mobile 0.24 4400 mobile 0.24 4400 cloud compute 0.41 4400 providers 0.85 4400 tutorials 0.35 4400 stocks 0.74 4400 download 0.22 4400 what is it 0.27 4400 conference 0.33 3600 benefits of 0.4 3600 benefits 0.4 3600 system 0.28 3600 systems 0.28 3600 tutorial 0.36 3600 project on 0.3 3600
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201118/30
Characteristics
• Revenue share concept, cost per sale (CPS)
• Affiliates are rewarded for visitors or customers brought ( x %)
• Four core players
– Merchant (retailer)
– Network (matches retailers and affiliates)
– Publisher (affiliate)
– Customer
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The affiliate marketing model
© Pearson Education Limited 2009
23/30Internet Marketing - UT Spring Semester
2011
E-mail marketing characteristics
• Permission based e-mail marketing effective tool for building relationships
• Low cost
• Direct response
• Fast campaign deployment
• Easily personalized
• Options for testing
• Integration with other direct media
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E-mail service provider (www.emailreaction.com)Source: smartFOCUS DIGITAL
© Pearson Education Limited 2009
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2011
© Pearson Education Limited 2009
27/30Internet Marketing - UT Spring Semester
2011
Retention email=in-house lists
http://www.email-marketing-reports.com/email-open-rates/