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March 3, 2015
Mobile SEO
Case Study:
Bryson Meunier
SEO Director, Vivid Seats
@BrysonMeunier
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
MOBILE FRIENDLY: A QUESTION WITH
MORE THAN ONE RIGHT ANSWER
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
DYNAMIC SERVING IS ONE RIGHT ANSWER
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
1. Does fixing the mobile usability errors drastically
increase mobile search traffic or revenue or
dramatically decrease bounce rate?
2. Does having a mobile friendly label in Google
increase click through rate in a statistically
significant way?
CASE STUDY: FIXING MOBILE USABILITY ERRORS
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
20,000 TO 1,000 ERRORS IN UNDER 4 MONTHS
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
20,000 TO 1,000 ERRORS IN UNDER 4 MONTHS
Identified
corresponding
template
Prioritized based
on revenue
impact
Redesigned
priority
templates
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
20,000 TO 1,000 ERRORS IN UNDER 4 MONTHS
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
20,000 TO 1,000 ERRORS IN UNDER 4 MONTHS
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Start with list of 2000 mobile pages with errors fixed between 9/09 – 10/25
Keep only pages with sessions
Vast majority occur in October
500 pages remaining
Goals:
Are total number of fixed pages correlated to average number of sessions, bounce rate, or revenue?
Does average sessions/day, bounce rate/day, or revenue/day increase as mobile errors are fixed relative to randomized control sample?
METHODOLOGY
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Control group comprised of 1000 randomly selected mobile landing pages with similar number of sessions but with unfixed errors
Control group linear fit has a slope consistent with zero
R = 0.03 (no linear correlation)
• Linear fit to test group also has a slope consistent with zero
R = 0.17 (no linear correlation)
NO statistically significant difference between correlation coefficient with control group (p = 0.66)
NO statistically significant difference between fit slope with control group (p = 0.48)
MEASURED CORRELATION BETWEEN FIXED ERRORS
AND BOUNCE RATE, SESSIONS AND REVENUE
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
• Investigated correlation between
sessions, bounce rate, or revenue vs.
total number of fixed mobile errors
In all cases, we found no linear
correlation
• Investigated average sessions/day,
bounce rate/day, or revenue/day
increase as mobile errors are fixed
relative to randomized control sample
In all cases, the correlation coefficients and
slopes of the test groups and control groups are
indistinguishable.
NO DIFFERENCE BEFORE AND AFTER
MOBILE USABILITY ERRORS FIXED
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
1. Fixing mobile usability errors has no immediate
effect on traffic, revenue, or bounce rate from
mobile search traffic
2. No apparent mobile usability algorithm exists as
of 2/17/2015. If it exists it may not be worth the
effort.
3. Going to continue measuring to see if effect is
delayed
DOES FIXING MOBILE USABILITY ERRORS
HELP WITH SEO OR USER EXPERIENCE?
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
DOES MOBILE FRIENDLY LABEL HELP CTR?
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
MFT introduced on 11/18/2014
Sample includes 21 landing pages having traffic between 11/13/2014 and 11/30/2014 with a variance in average page position of < 0.2
throughout that time
Average CTR before MFT: 13.5%
Average CTR AFTER MFT: 13.4%
DIFFERENCE IN AVERAGE CTR IS NOT STATISTICALLY SIGNIFICANT
DOES MOBILE FRIENDLY LABEL HELP CTR?
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
1. No statistically significant
difference in average CTR
before and after mobile-
friendly label
2. Limited data set
3. All competitors have
mobile friendly label, which
could affect results
4. Going to continue
monitoring to see if effect
is delayed.
DOES MOBILE FRIENDLY LABEL HELP CTR?
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
1. Assumptions about mobile usability and SEO are
not necessarily supported by data today
2. More testing is needed to support conclusions,
as this is one site and doesn’t account for
potential delay in benefit
3. Still recommend continuing with priority fixes
that aren’t cost prohibitive, and measuring
results
FINAL THOUGHTS
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
February 16, 2015
Appendix: Effect of
Mobile Fixes on Sessions,
Bounce Rate, and
Revenue
Dr. David Pignotti
Data Scientist, Vivid Seats
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Start with list of 2000 mobile pages with errors fixed between 9/09 – 10/25
Keep only pages with sessions
Vast majority occur in October
500 pages remaining
Goals:
Are total number of fixed pages correlated to average number of sessions, bounce rate, or revenue?
Does average sessions/day, bounce rate/day, or revenue/day increase as mobile errors are fixed relative to randomized control sample?
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Average Sessions/Day Vs. Total Number of Fixed Pages
Correlation coefficient (R) = 0.26
No linear correlation
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Average Sessions/day over time for test group and control group
Control group comprised of 1000 randomly selected mobile landing pages with similar number of sessions but with unfixed errors
Control group linear fit has a slight negative slope
R = 0.32 (weak linear correlation)
Linear fit to test group also has slight negative slope
R = 0.30 (weak linear correlation)
NO statistically significant difference between correlation coefficient with control group (p = 0.95)
NO statistically significant difference between fit slope with control group (p = 0.82)
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Average Bounce Rate/Day Vs. Total Number of Fixed Pages
Correlation coefficient (R) = 0.07
No linear correlation
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Average Bounce Rate/day over time for test group and control group
Control group comprised of 1000 randomly selected mobile landing pages with similar number of sessions but with unfixed errors
Control group linear fit has a slope consistent with zero
R = 0.03 (no linear correlation)
• Linear fit to test group also has a slope consistent with zero
R = 0.17 (no linear correlation)
NO statistically significant difference between correlation coefficient with control group (p = 0.66)
NO statistically significant difference between fit slope with control group (p = 0.48)
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Average Revenue/Day Vs. Total Number of Fixed Pages
Correlation coefficient (R) = 0.18
No linear correlation
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Average Bounce Rate/day over time for test group and control group
Control group comprised of 1000 randomly selected mobile landing pages with similar number of sessions but with unfixed errors
Control group linear fit has a slope consistent with zero
R = 0.05 (no linear correlation)
• Linear fit to test group also has a slope consistent with zero
R = 0.02 (no linear correlation)
NO statistically significant difference between correlation coefficient with control group (p = 0.90)
NO statistically significant difference between fit slope with control group (p = 0.86)
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Summary
Investigated correlation between sessions, bounce rate, or revenue vs. total number of fixed mobile
errors
In all cases, we found no linear correlation
• Investigated average sessions/day, bounce rate/day, or revenue/day increase as mobile errors
are fixed relative to randomized control sample
In all cases, the correlation coefficients and slopes of the test groups and control groups are
indistinguishable.
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Does introduction of Google’s “Mobile Friendly Tag” increase CTR?
Does introduction of Google’s “Mobile Friendly Tag” (MFT) increase CTR?
MFT introduced on 11/18/2014
Sample includes 21 landing pages having traffic between 11/13/2014 and 11/30/2014 with a variance in average page
position of < 0.2 throughout that time
Average CTR before MFT: 13.5%
Average CTR AFTER MFT: 13.4%
DIFFERENCE IN AVERAGE CTR IS NOT STATISTICALLY SIGNIFICANT
searchmarketingexpo.com
@BrysonMeunier
#SMX #21D
Does introduction of Google’s “Mobile Friendly Tag” increase CTR?
Does introduction of Google’s “Mobile Friendly Tag” (MFT) increase CTR?
MFT introduced on 11/18/2014
Sample includes 21 landing pages having traffic between 11/13/2014 and 11/30/2014 with a variance in average page
position of < 0.2 throughout that time
Weighted (impressions) average CTR before MFT: 9.6%
Weighted (impressions) average CTR AFTER MFT: 9.5%
DIFFERENCE IN AVERAGE CTR IS NOT STATISTICALLY SIGNIFICANT

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Mobile SEO Case Study

  • 1. March 3, 2015 Mobile SEO Case Study: Bryson Meunier SEO Director, Vivid Seats @BrysonMeunier
  • 2. searchmarketingexpo.com @BrysonMeunier #SMX #21D MOBILE FRIENDLY: A QUESTION WITH MORE THAN ONE RIGHT ANSWER
  • 4. searchmarketingexpo.com @BrysonMeunier #SMX #21D 1. Does fixing the mobile usability errors drastically increase mobile search traffic or revenue or dramatically decrease bounce rate? 2. Does having a mobile friendly label in Google increase click through rate in a statistically significant way? CASE STUDY: FIXING MOBILE USABILITY ERRORS
  • 6. searchmarketingexpo.com @BrysonMeunier #SMX #21D 20,000 TO 1,000 ERRORS IN UNDER 4 MONTHS Identified corresponding template Prioritized based on revenue impact Redesigned priority templates
  • 9. searchmarketingexpo.com @BrysonMeunier #SMX #21D Start with list of 2000 mobile pages with errors fixed between 9/09 – 10/25 Keep only pages with sessions Vast majority occur in October 500 pages remaining Goals: Are total number of fixed pages correlated to average number of sessions, bounce rate, or revenue? Does average sessions/day, bounce rate/day, or revenue/day increase as mobile errors are fixed relative to randomized control sample? METHODOLOGY
  • 10. searchmarketingexpo.com @BrysonMeunier #SMX #21D Control group comprised of 1000 randomly selected mobile landing pages with similar number of sessions but with unfixed errors Control group linear fit has a slope consistent with zero R = 0.03 (no linear correlation) • Linear fit to test group also has a slope consistent with zero R = 0.17 (no linear correlation) NO statistically significant difference between correlation coefficient with control group (p = 0.66) NO statistically significant difference between fit slope with control group (p = 0.48) MEASURED CORRELATION BETWEEN FIXED ERRORS AND BOUNCE RATE, SESSIONS AND REVENUE
  • 11. searchmarketingexpo.com @BrysonMeunier #SMX #21D • Investigated correlation between sessions, bounce rate, or revenue vs. total number of fixed mobile errors In all cases, we found no linear correlation • Investigated average sessions/day, bounce rate/day, or revenue/day increase as mobile errors are fixed relative to randomized control sample In all cases, the correlation coefficients and slopes of the test groups and control groups are indistinguishable. NO DIFFERENCE BEFORE AND AFTER MOBILE USABILITY ERRORS FIXED
  • 12. searchmarketingexpo.com @BrysonMeunier #SMX #21D 1. Fixing mobile usability errors has no immediate effect on traffic, revenue, or bounce rate from mobile search traffic 2. No apparent mobile usability algorithm exists as of 2/17/2015. If it exists it may not be worth the effort. 3. Going to continue measuring to see if effect is delayed DOES FIXING MOBILE USABILITY ERRORS HELP WITH SEO OR USER EXPERIENCE?
  • 14. searchmarketingexpo.com @BrysonMeunier #SMX #21D MFT introduced on 11/18/2014 Sample includes 21 landing pages having traffic between 11/13/2014 and 11/30/2014 with a variance in average page position of < 0.2 throughout that time Average CTR before MFT: 13.5% Average CTR AFTER MFT: 13.4% DIFFERENCE IN AVERAGE CTR IS NOT STATISTICALLY SIGNIFICANT DOES MOBILE FRIENDLY LABEL HELP CTR?
  • 15. searchmarketingexpo.com @BrysonMeunier #SMX #21D 1. No statistically significant difference in average CTR before and after mobile- friendly label 2. Limited data set 3. All competitors have mobile friendly label, which could affect results 4. Going to continue monitoring to see if effect is delayed. DOES MOBILE FRIENDLY LABEL HELP CTR?
  • 16. searchmarketingexpo.com @BrysonMeunier #SMX #21D 1. Assumptions about mobile usability and SEO are not necessarily supported by data today 2. More testing is needed to support conclusions, as this is one site and doesn’t account for potential delay in benefit 3. Still recommend continuing with priority fixes that aren’t cost prohibitive, and measuring results FINAL THOUGHTS
  • 18. February 16, 2015 Appendix: Effect of Mobile Fixes on Sessions, Bounce Rate, and Revenue Dr. David Pignotti Data Scientist, Vivid Seats
  • 19. searchmarketingexpo.com @BrysonMeunier #SMX #21D Start with list of 2000 mobile pages with errors fixed between 9/09 – 10/25 Keep only pages with sessions Vast majority occur in October 500 pages remaining Goals: Are total number of fixed pages correlated to average number of sessions, bounce rate, or revenue? Does average sessions/day, bounce rate/day, or revenue/day increase as mobile errors are fixed relative to randomized control sample?
  • 20. searchmarketingexpo.com @BrysonMeunier #SMX #21D Average Sessions/Day Vs. Total Number of Fixed Pages Correlation coefficient (R) = 0.26 No linear correlation
  • 21. searchmarketingexpo.com @BrysonMeunier #SMX #21D Average Sessions/day over time for test group and control group Control group comprised of 1000 randomly selected mobile landing pages with similar number of sessions but with unfixed errors Control group linear fit has a slight negative slope R = 0.32 (weak linear correlation) Linear fit to test group also has slight negative slope R = 0.30 (weak linear correlation) NO statistically significant difference between correlation coefficient with control group (p = 0.95) NO statistically significant difference between fit slope with control group (p = 0.82)
  • 22. searchmarketingexpo.com @BrysonMeunier #SMX #21D Average Bounce Rate/Day Vs. Total Number of Fixed Pages Correlation coefficient (R) = 0.07 No linear correlation
  • 23. searchmarketingexpo.com @BrysonMeunier #SMX #21D Average Bounce Rate/day over time for test group and control group Control group comprised of 1000 randomly selected mobile landing pages with similar number of sessions but with unfixed errors Control group linear fit has a slope consistent with zero R = 0.03 (no linear correlation) • Linear fit to test group also has a slope consistent with zero R = 0.17 (no linear correlation) NO statistically significant difference between correlation coefficient with control group (p = 0.66) NO statistically significant difference between fit slope with control group (p = 0.48)
  • 24. searchmarketingexpo.com @BrysonMeunier #SMX #21D Average Revenue/Day Vs. Total Number of Fixed Pages Correlation coefficient (R) = 0.18 No linear correlation
  • 25. searchmarketingexpo.com @BrysonMeunier #SMX #21D Average Bounce Rate/day over time for test group and control group Control group comprised of 1000 randomly selected mobile landing pages with similar number of sessions but with unfixed errors Control group linear fit has a slope consistent with zero R = 0.05 (no linear correlation) • Linear fit to test group also has a slope consistent with zero R = 0.02 (no linear correlation) NO statistically significant difference between correlation coefficient with control group (p = 0.90) NO statistically significant difference between fit slope with control group (p = 0.86)
  • 26. searchmarketingexpo.com @BrysonMeunier #SMX #21D Summary Investigated correlation between sessions, bounce rate, or revenue vs. total number of fixed mobile errors In all cases, we found no linear correlation • Investigated average sessions/day, bounce rate/day, or revenue/day increase as mobile errors are fixed relative to randomized control sample In all cases, the correlation coefficients and slopes of the test groups and control groups are indistinguishable.
  • 27. searchmarketingexpo.com @BrysonMeunier #SMX #21D Does introduction of Google’s “Mobile Friendly Tag” increase CTR? Does introduction of Google’s “Mobile Friendly Tag” (MFT) increase CTR? MFT introduced on 11/18/2014 Sample includes 21 landing pages having traffic between 11/13/2014 and 11/30/2014 with a variance in average page position of < 0.2 throughout that time Average CTR before MFT: 13.5% Average CTR AFTER MFT: 13.4% DIFFERENCE IN AVERAGE CTR IS NOT STATISTICALLY SIGNIFICANT
  • 28. searchmarketingexpo.com @BrysonMeunier #SMX #21D Does introduction of Google’s “Mobile Friendly Tag” increase CTR? Does introduction of Google’s “Mobile Friendly Tag” (MFT) increase CTR? MFT introduced on 11/18/2014 Sample includes 21 landing pages having traffic between 11/13/2014 and 11/30/2014 with a variance in average page position of < 0.2 throughout that time Weighted (impressions) average CTR before MFT: 9.6% Weighted (impressions) average CTR AFTER MFT: 9.5% DIFFERENCE IN AVERAGE CTR IS NOT STATISTICALLY SIGNIFICANT