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Richard Falconer
Managing Director
@rich_falconer
linkedin.com/in/richfalconer/
Stacking the Ads Deck
What % of users being unable to identify search adverts is acceptable?
1% 5%
10%
20%
40%
>40%
What % of users would you guess are unable to identify search adverts?
1% 5%
10%
20%
40%
>40%
Why should I care?
1. Consumer trust. Losing trust can destroy a search engine. Baidu:
2. Consumer trust for your brand – Do you really want to trick your customers into clicking?
3. Brand protection – Are you happy that users searching for your brand can click on competitors, thinking it’s a
natural search result.
4. Ad swerving, fake news issues, increased marketing costs & what happens the day Google is forced to
properly differentiate its ads?
Source: Google, Alphabet
0%
5%
10%
15%
20%
25%
30%
35%
2011 2012 2013 2014 2015 2016 2017 2018
Ad Revenue Growth
“we expect that advertising funded search
engines will be inherently biased towards
the advertisers and away from the needs
of the consumers”
http://infolab.stanford.edu/~backrub/google.html
https://edge45.co.uk/blog/google-adwords-evolution-timeline/
2002
2003
Inside the mind of the searcher
Sample size: 400
• sponsored ads are very easy to identify on Google
• users who prefer to ignore sponsored ads tend to be drawn to Google
• users of Google more likely to be resistant to looking at sponsored ads
There was a general perception that Google’s organic results were the least
commercially tainted ones of all the major engines.
“Pale green box, text content..must be an ad. I’ll ignore it,”
was the conditioned response that Google was creating in its AdSense program.
https://www.manningmarketing.com/dvi/wp-content/uploads/2019/07/Inside-the-Mind-of-the-Searcher-2004.pdf
Gord Hotchkiss - Enquiro
2005
Internet searchers are confident, satisfied and trusting – but they are also unaware and naïve.
Sample size: 2,200 (phone survey)
62%
unaware of a
distinction between
paid and unpaid
https://www.pewinternet.org/wp-content/uploads/sites/9/media/Files/Reports/2005/PIP_Searchengine_users.pdf.pdf
Deborah Fallows, PhD, Senior Research Fellow, Pew Internet
45%
would stop using a search
engine if it did not make it
clear that some results were
paid
2012
2012
Consumer Ad Awareness in Search Results
Sample size: 1,000
45.5%
unable to identify PPC ads
http://www.seobook.com/consumer-ad-awareness-search-results
2012
User Testing Is Key To Understanding People
Sample size: 100 (eye tracking)
40%
did not know that the
listings in yellow boxes
were ads
https://bunnyfoot.com/2014/05/user-testing-is-key-to-understanding-people/
…search engines have introduced background shading that is significantly less visible
….consumers may not be able to detect on many computer monitors or mobile devices.
…search engines should use:
(1) more prominent shading that has a clear outline;
(2) a prominent border that distinctly sets off advertising from the natural search results; or
(3) both prominent shading and a border.
…search engines have reduced the font size of some text labels to identify [ads] and often
locate these labels in the top right-hand corner of the shaded area or “ad block,” as is the
case with top ads.
…we recommend that search engines place any text label….immediately in front of an
advertising result, or in the upper-left hand corner of an ad block….in adequately sized and
colored font.
2013
https://www.ftc.gov/sites/default/files/attachments/press-releases/ftc-staff-revises-online-advertising-disclosure-guidelines/130312dotcomdisclosures.pdf
FTC Letter
2014
2014
Adwords Uncovered - How users perceive the new Google results page
Sample size: 30 (eye tracking)
27%
Of users unaware
of PPC ads
https://www.usability.de/en/usability-user-experience/publications/google-eye-tracking-study.html
2014
https://www.ofcom.org.uk/__data/assets/pdf_file/0026/80828/2016-adults-media-use-and-attitudes.pdf
2015
Adults media use and attitudes
Sample size: 1,841
40%
unable to
identify ads
2015
Children and Parents: Media Use and Attitudes Report
Sample size: 417
57%
Of 12-15 year olds
unable to identify ads
https://www.ofcom.org.uk/__data/assets/pdf_file/0024/78513/childrens_parents_nov2015.pdf
2017
2017
2016-2018
Only 42% of people know which links on Google are paid adverts
Sample size: 803
58%
Don’t know which
are paid ads
https://varn.co.uk/02/05/varn-original-research-only-40-of-people-know-which-links-on-google-are-paid-adverts/
2017
Are Ads on Google Search Engine Results Pages Labelled Clearly Enough?
Sample size: 1,000
62%
Unaware of or unable to
distinguish ads from organic
https://pdfs.semanticscholar.org/5c32/45ae6eb5ba1da6cdc8cf4b4e74c59854d9bc.pdf
Lewandowski, Sünkler, Kerkmann
Hamburg University of Applied Sciences
2003
2012
2013
2014
2017
2017
41%
46%
46%
27%
62%
40%
57%
40%
58%
62%
Unable to identify ads
2019 ???
https://weareyard.com/our-blog/google-blurring-the-line-between-natural-and-paid-search-results/
2019
Stacking the Ads Deck
Sample size: 428
Women 64% correct / Average time 3 min 25 secs
Men 64% correct / Average time 3 min 21 secs
Age Time % Correct
18-29 2.46 66%
30-44 3.34 64%
45-59 3.50 63%
60-75 4.19 63%
No-one answered all questions correctly.
Does this image contain any adverts?
98% Yes
73% YES
27% don’t know
these are
adverts
70% No
30% think
featured
snippets are
adverts
NO
18 - 29 86%
30 - 44 59%
45 - 59 68%
60 - 75 45%
59% Yes
41% don’t know
these are adverts
59% Yes
41% don’t see this
advert
61% No
39% think there is
advertising here
66% No
34% think these
are adverts
62%
Yes
73%
Yes
79% Yes
21% think there
are no adverts
59% No
41% think these
are adverts
Age Yes
18 - 29 52%
30 - 44 55%
45 - 59 64%
60 - 75 70%
58% Yes
42% Can’t see the
advert, including 48%
of 18-29 year olds
45% No
55% think these
are adverts!
Age Yes
18 - 29 36%
30 - 44 55%
45 - 59 73%
60 - 75 80%
40% No
60% of people
think these are
adverts!!!
Conclusion
The purpose of Google’s new favicon mobile
results is to make the natural results look more
like ads.
Conclusion
• Search engines are deliberately blending paid ads with
natural results
• The driving force behind this is revenue & profit
• Its not just about making ads blend in with natural
results but making natural results more like ads
• This undoubtedly puts a question mark over a large % of
Google’s revenue
• A conservative 20% of accidental clicks = $27 BILLION
Richard Falconer - Stacking the Ads Deck

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Richard Falconer - Stacking the Ads Deck

  • 2. What % of users being unable to identify search adverts is acceptable? 1% 5% 10% 20% 40% >40%
  • 3. What % of users would you guess are unable to identify search adverts? 1% 5% 10% 20% 40% >40%
  • 4. Why should I care? 1. Consumer trust. Losing trust can destroy a search engine. Baidu: 2. Consumer trust for your brand – Do you really want to trick your customers into clicking? 3. Brand protection – Are you happy that users searching for your brand can click on competitors, thinking it’s a natural search result. 4. Ad swerving, fake news issues, increased marketing costs & what happens the day Google is forced to properly differentiate its ads?
  • 6. 0% 5% 10% 15% 20% 25% 30% 35% 2011 2012 2013 2014 2015 2016 2017 2018 Ad Revenue Growth
  • 7. “we expect that advertising funded search engines will be inherently biased towards the advertisers and away from the needs of the consumers” http://infolab.stanford.edu/~backrub/google.html
  • 8.
  • 10. 2003 Inside the mind of the searcher Sample size: 400 • sponsored ads are very easy to identify on Google • users who prefer to ignore sponsored ads tend to be drawn to Google • users of Google more likely to be resistant to looking at sponsored ads There was a general perception that Google’s organic results were the least commercially tainted ones of all the major engines. “Pale green box, text content..must be an ad. I’ll ignore it,” was the conditioned response that Google was creating in its AdSense program. https://www.manningmarketing.com/dvi/wp-content/uploads/2019/07/Inside-the-Mind-of-the-Searcher-2004.pdf Gord Hotchkiss - Enquiro
  • 11. 2005 Internet searchers are confident, satisfied and trusting – but they are also unaware and naïve. Sample size: 2,200 (phone survey) 62% unaware of a distinction between paid and unpaid https://www.pewinternet.org/wp-content/uploads/sites/9/media/Files/Reports/2005/PIP_Searchengine_users.pdf.pdf Deborah Fallows, PhD, Senior Research Fellow, Pew Internet 45% would stop using a search engine if it did not make it clear that some results were paid
  • 12. 2012
  • 13. 2012 Consumer Ad Awareness in Search Results Sample size: 1,000 45.5% unable to identify PPC ads http://www.seobook.com/consumer-ad-awareness-search-results
  • 14. 2012 User Testing Is Key To Understanding People Sample size: 100 (eye tracking) 40% did not know that the listings in yellow boxes were ads https://bunnyfoot.com/2014/05/user-testing-is-key-to-understanding-people/
  • 15. …search engines have introduced background shading that is significantly less visible ….consumers may not be able to detect on many computer monitors or mobile devices. …search engines should use: (1) more prominent shading that has a clear outline; (2) a prominent border that distinctly sets off advertising from the natural search results; or (3) both prominent shading and a border. …search engines have reduced the font size of some text labels to identify [ads] and often locate these labels in the top right-hand corner of the shaded area or “ad block,” as is the case with top ads. …we recommend that search engines place any text label….immediately in front of an advertising result, or in the upper-left hand corner of an ad block….in adequately sized and colored font. 2013 https://www.ftc.gov/sites/default/files/attachments/press-releases/ftc-staff-revises-online-advertising-disclosure-guidelines/130312dotcomdisclosures.pdf FTC Letter
  • 16. 2014
  • 17. 2014 Adwords Uncovered - How users perceive the new Google results page Sample size: 30 (eye tracking) 27% Of users unaware of PPC ads https://www.usability.de/en/usability-user-experience/publications/google-eye-tracking-study.html
  • 18. 2014
  • 20. 2015 Children and Parents: Media Use and Attitudes Report Sample size: 417 57% Of 12-15 year olds unable to identify ads https://www.ofcom.org.uk/__data/assets/pdf_file/0024/78513/childrens_parents_nov2015.pdf
  • 21. 2017
  • 22. 2017
  • 23. 2016-2018 Only 42% of people know which links on Google are paid adverts Sample size: 803 58% Don’t know which are paid ads https://varn.co.uk/02/05/varn-original-research-only-40-of-people-know-which-links-on-google-are-paid-adverts/
  • 24. 2017 Are Ads on Google Search Engine Results Pages Labelled Clearly Enough? Sample size: 1,000 62% Unaware of or unable to distinguish ads from organic https://pdfs.semanticscholar.org/5c32/45ae6eb5ba1da6cdc8cf4b4e74c59854d9bc.pdf Lewandowski, Sünkler, Kerkmann Hamburg University of Applied Sciences
  • 26. https://weareyard.com/our-blog/google-blurring-the-line-between-natural-and-paid-search-results/ 2019 Stacking the Ads Deck Sample size: 428 Women 64% correct / Average time 3 min 25 secs Men 64% correct / Average time 3 min 21 secs Age Time % Correct 18-29 2.46 66% 30-44 3.34 64% 45-59 3.50 63% 60-75 4.19 63% No-one answered all questions correctly. Does this image contain any adverts?
  • 27.
  • 28.
  • 30.
  • 31.
  • 32. 73% YES 27% don’t know these are adverts
  • 33.
  • 34. 70% No 30% think featured snippets are adverts NO 18 - 29 86% 30 - 44 59% 45 - 59 68% 60 - 75 45%
  • 35.
  • 36. 59% Yes 41% don’t know these are adverts
  • 37.
  • 38. 59% Yes 41% don’t see this advert
  • 39.
  • 40. 61% No 39% think there is advertising here
  • 41.
  • 42. 66% No 34% think these are adverts
  • 43.
  • 45.
  • 46. 79% Yes 21% think there are no adverts
  • 47.
  • 48. 59% No 41% think these are adverts
  • 49.
  • 50. Age Yes 18 - 29 52% 30 - 44 55% 45 - 59 64% 60 - 75 70% 58% Yes 42% Can’t see the advert, including 48% of 18-29 year olds
  • 51.
  • 52. 45% No 55% think these are adverts! Age Yes 18 - 29 36% 30 - 44 55% 45 - 59 73% 60 - 75 80%
  • 53.
  • 54. 40% No 60% of people think these are adverts!!!
  • 55. Conclusion The purpose of Google’s new favicon mobile results is to make the natural results look more like ads.
  • 56. Conclusion • Search engines are deliberately blending paid ads with natural results • The driving force behind this is revenue & profit • Its not just about making ads blend in with natural results but making natural results more like ads • This undoubtedly puts a question mark over a large % of Google’s revenue • A conservative 20% of accidental clicks = $27 BILLION