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Mobile Web Stress
Understanding the neurological
impact of poor performance

Tammy Everts
Velocity Europe – November 2013
Why neuroscientific mobile testing?
Slide 2
• 2010 EEG study of desktop
users
• Throttled connection from 5MB
to 2MB
• Found that participants had to
concentrate up to 50% harder
• Afterward, participants reported
negative brand associations

Slide 3
Slide 4
Slide 5
It’s a mobile-first world.
55% of all time spent
on retail sites takes
place on a mobile device.

Shop.org / comScore, October 2013

Slide 7
Slide 8
Stuart McMillan, Schuh’s Journey to RWD (Conversion Conference 2013)
Slide 9
Three all-too-common
mobile assumptions
Assumption #1

Mobile users expect pages to be slow.

Slide 11
Keynote, 2012 Mobile User Survey
Slide 12
Radware, 2013 State of the Union: Mobile Ecommerce Performance
Slide 13
Radware, 2013 State of the Union: Mobile Ecommerce Performance
Slide 14
Assumption #2

Mobile users want to browse, not buy.

Slide 15
By 2017,
retail mcommerce
is expected to hit
$113 billion –
26% of total
ecommerce sales.

eMarketer, September 2013
Slide 16
Mobile shopping cart
abandonment rate
is 39% greater
than desktop rate.

2013 Google I/O

Slide 17
Assumption #3

Users will stick around, even if pages
are slow, if they really want to buy.

Slide 18
Skava/Harris Interactive, 2013

Slide 19
What is emotional
engagement research?
“95% of the consumer’s
decisions are made at the
subconscious level.”
Dr. Gerald Zaltman, Harvard University
Executive Committee of Harvard University’s
Mind, Brain and Behavior Interfaculty Initiative

Slide 21
Slide 22
Slide 23
Slide 24
Patients with damage to
emotional parts of the brain
cannot make decisions,
despite having no change in IQ.
Antonio Damasio, Descartes’ Error

Slide 25
The problem with surveys…
Traditional research relies on eliciting post-cognitive responses.
But thinking and talking about emotions changes and distorts
them.

Slide 26
Five benefits of neuro-scientific testing
1
2
3
4
5

Evaluates think/feel (not say)
Quantified data, at deeper-than-Qual levels
Moment-by-moment interaction
Cause-and-effect triggers
Fresh, deeper insights

Slide 27
Simplified cognitive timeline

Slide 28
EEG Emotional Engagement Study
Our research team
• Seren – leaders in customer experience & service design
• Neurosense – global leader in implicit methodologies
• NeuroStrata – expert consultants in blending neuromarketing
applications

Slide 30
The brands we tested

Slide 31
Our testers
• 20 testers (male and female)

• Pre-screened to ensure normal cognitive functioning
• Mobile device users
• Did not know they were part of a performance study

Slide 32
Jakob Nielsen, Why You Only Need to Test with 5 Users, 2000
Slide 33
Methodology
• Standardized set of shopping tasks (browsing and checkout)
• Testers served sites over one of two speeds:
– normal Wifi
– artificial 500ms delay

• Using EEG headset and eyetracker, measured moment-bymoment responses

Slide 34
Slide 35
Why test a 500ms delay?

Case study: The impact of HTML delay on mobile business metrics
Slide 36
We focused on the metrics most affected by the 500ms delay.

Frustration
Emotional engagement

Slide 37
Slide 38
Normal speed

2.66s

2.92s

2.83s

4.24s
Slide 39
Frustration levels across sites (normal speed)

Slide 40
Engagement levels across sites (normal speed)

Slide 41
500ms delay: Peak frustration results

Slide 42
500ms delay: Average engagement results

Slide 43
Impact of site speed on post-test brand association

Slide 44
EEG summary
• A mere 500ms delay results in significant increase in
frustration levels.

• Faster pages result in higher levels of engagement.
• Different sites trigger emotional shifts at different phases of
the experience (browsing vs. checkout).
• Important: These tests happened under ideal browsing
conditions.
Slide 45
Slide 46
Erin Kissane, November 2013
Slide 47
Bonus Study: Implicit Response Test
The effect of loading speed
on brand perception
We react faster to congruent stimuli
than incongruent stimuli.

Slide 49
https://www.projectimplicit.net/index.html

Slide 50
Methodology: Pre-test
Two brands – Easyjet and
Ryanair – were measured
against 24 attributes.

Slide 51
Slide 52
Slide 53
Slide 54
Implicit pre-test: Brand mapping

Slide 55
Implicit pre-test: Purchase intent

Slide 56
Methodology: Test
1 Participants then viewed one of two videos depicting a flight
selection/booking process:
•
•

Normal
Slow (500ms delay per page)

2 Each brand is measured again against the same 24
attributes.
3 Difference between normal and slow indicates effect of speed
on brand perception.

Slide 57
EasyJet: Impact of 500ms slowdown on each dimension

Slide 58
EasyJet: Impact of 500ms slowdown on each attribute

Slide 59
Ryanair: Impact of 500ms slowdown on each dimension

Slide 60
Ryanair: Impact of 500ms slowdown on each attribute

Slide 61
Brand perception summary
• Overall, EasyJet enjoys a more positive brand perception.
• 500ms delay triggers downward shift in perception for both companies.
• Impact on EasyJet was greater than on Ryanair.
• Impact varies across attributes for each brand:
– Slow EasyJet site suffers more in Purchase Intent and Functional attributes.
– Ryanair suffers more in Warmth/Friendliness dimensions.

Slide 62
Slide 63
Takeaways
1 Mobile users are significantly affected by slow performance:
up to 26% increase in peak frustration and up to 8% decrease
in engagement.
2 Slow sites can seriously undermine overall brand health –
across both desktop and mobile platforms.
3 The nature and scale of impact varies, depending on a
number of factors (e.g. inherent strength/weakness of brand).
4 Brands with already-fragile consumer affinity are at higher
risk.
5 Greatest risk is to purchase intent.
6 Great opportunities exist to strengthen overall brand by
investing in performance optimization.

Slide 65
Slide 66
Sources
Web Stress: A Wake-Up Call for European Business (Foviance, 2010)
http://www.ca.com/us/~/media/files/supportingpieces/final_webstress_survey_report_229296.aspx
2013 Social & Mobile Commerce Consumer Report (Shop.org / comScore)
http://shop.org/research/original/2013-social-mobile-commerce-consumer-report
2012 Mobile User Survey (Keynote)
http://www.keynote.com/docs/reports/Keynote-2012-Mobile-User-Survey.pdf
2013 State of the Union: Mobile Ecommerce Performance (Radware)
http://www.radware.com/mobile-sotu2013/
The Danger of a Poor Mobile Shopping Experience [INFOGRAPHIC]
http://www.getelastic.com/the-danger-of-a-poor-mobile-shopping-experience-infographic/
Case study: The impact of HTML delay on mobile business metrics (Web Performance Today, November 2011)
http://www.webperformancetoday.com/2011/11/23/case-study-slow-page-load-mobile-business-metrics/
I was a mobile-only user for six weeks (Erin Kissane)
http://the-pastry-box-project.net/erin-kissane/2013-november-12/

Slide 67
Questions?
Velocity Office Hour – Today @ 16:15
webperformancetoday.com
twitter.com/tameverts
linkedin.com/in/tammyeverts
plus.google.com/+TammyEverts/
Slide 68

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Mobile Web Stress: Understanding the Neurological Impact of Poor Performance

  • 1. Mobile Web Stress Understanding the neurological impact of poor performance Tammy Everts Velocity Europe – November 2013
  • 2. Why neuroscientific mobile testing? Slide 2
  • 3. • 2010 EEG study of desktop users • Throttled connection from 5MB to 2MB • Found that participants had to concentrate up to 50% harder • Afterward, participants reported negative brand associations Slide 3
  • 7. 55% of all time spent on retail sites takes place on a mobile device. Shop.org / comScore, October 2013 Slide 7
  • 9. Stuart McMillan, Schuh’s Journey to RWD (Conversion Conference 2013) Slide 9
  • 11. Assumption #1 Mobile users expect pages to be slow. Slide 11
  • 12. Keynote, 2012 Mobile User Survey Slide 12
  • 13. Radware, 2013 State of the Union: Mobile Ecommerce Performance Slide 13
  • 14. Radware, 2013 State of the Union: Mobile Ecommerce Performance Slide 14
  • 15. Assumption #2 Mobile users want to browse, not buy. Slide 15
  • 16. By 2017, retail mcommerce is expected to hit $113 billion – 26% of total ecommerce sales. eMarketer, September 2013 Slide 16
  • 17. Mobile shopping cart abandonment rate is 39% greater than desktop rate. 2013 Google I/O Slide 17
  • 18. Assumption #3 Users will stick around, even if pages are slow, if they really want to buy. Slide 18
  • 21. “95% of the consumer’s decisions are made at the subconscious level.” Dr. Gerald Zaltman, Harvard University
Executive Committee of Harvard University’s Mind, Brain and Behavior Interfaculty Initiative Slide 21
  • 25. Patients with damage to emotional parts of the brain cannot make decisions, despite having no change in IQ. Antonio Damasio, Descartes’ Error Slide 25
  • 26. The problem with surveys… Traditional research relies on eliciting post-cognitive responses. But thinking and talking about emotions changes and distorts them. Slide 26
  • 27. Five benefits of neuro-scientific testing 1 2 3 4 5 Evaluates think/feel (not say) Quantified data, at deeper-than-Qual levels Moment-by-moment interaction Cause-and-effect triggers Fresh, deeper insights Slide 27
  • 30. Our research team • Seren – leaders in customer experience & service design • Neurosense – global leader in implicit methodologies • NeuroStrata – expert consultants in blending neuromarketing applications Slide 30
  • 31. The brands we tested Slide 31
  • 32. Our testers • 20 testers (male and female) • Pre-screened to ensure normal cognitive functioning • Mobile device users • Did not know they were part of a performance study Slide 32
  • 33. Jakob Nielsen, Why You Only Need to Test with 5 Users, 2000 Slide 33
  • 34. Methodology • Standardized set of shopping tasks (browsing and checkout) • Testers served sites over one of two speeds: – normal Wifi – artificial 500ms delay • Using EEG headset and eyetracker, measured moment-bymoment responses Slide 34
  • 36. Why test a 500ms delay? Case study: The impact of HTML delay on mobile business metrics Slide 36
  • 37. We focused on the metrics most affected by the 500ms delay. Frustration Emotional engagement Slide 37
  • 40. Frustration levels across sites (normal speed) Slide 40
  • 41. Engagement levels across sites (normal speed) Slide 41
  • 42. 500ms delay: Peak frustration results Slide 42
  • 43. 500ms delay: Average engagement results Slide 43
  • 44. Impact of site speed on post-test brand association Slide 44
  • 45. EEG summary • A mere 500ms delay results in significant increase in frustration levels. • Faster pages result in higher levels of engagement. • Different sites trigger emotional shifts at different phases of the experience (browsing vs. checkout). • Important: These tests happened under ideal browsing conditions. Slide 45
  • 47. Erin Kissane, November 2013 Slide 47
  • 48. Bonus Study: Implicit Response Test The effect of loading speed on brand perception
  • 49. We react faster to congruent stimuli than incongruent stimuli. Slide 49
  • 51. Methodology: Pre-test Two brands – Easyjet and Ryanair – were measured against 24 attributes. Slide 51
  • 55. Implicit pre-test: Brand mapping Slide 55
  • 56. Implicit pre-test: Purchase intent Slide 56
  • 57. Methodology: Test 1 Participants then viewed one of two videos depicting a flight selection/booking process: • • Normal Slow (500ms delay per page) 2 Each brand is measured again against the same 24 attributes. 3 Difference between normal and slow indicates effect of speed on brand perception. Slide 57
  • 58. EasyJet: Impact of 500ms slowdown on each dimension Slide 58
  • 59. EasyJet: Impact of 500ms slowdown on each attribute Slide 59
  • 60. Ryanair: Impact of 500ms slowdown on each dimension Slide 60
  • 61. Ryanair: Impact of 500ms slowdown on each attribute Slide 61
  • 62. Brand perception summary • Overall, EasyJet enjoys a more positive brand perception. • 500ms delay triggers downward shift in perception for both companies. • Impact on EasyJet was greater than on Ryanair. • Impact varies across attributes for each brand: – Slow EasyJet site suffers more in Purchase Intent and Functional attributes. – Ryanair suffers more in Warmth/Friendliness dimensions. Slide 62
  • 65. 1 Mobile users are significantly affected by slow performance: up to 26% increase in peak frustration and up to 8% decrease in engagement. 2 Slow sites can seriously undermine overall brand health – across both desktop and mobile platforms. 3 The nature and scale of impact varies, depending on a number of factors (e.g. inherent strength/weakness of brand). 4 Brands with already-fragile consumer affinity are at higher risk. 5 Greatest risk is to purchase intent. 6 Great opportunities exist to strengthen overall brand by investing in performance optimization. Slide 65
  • 67. Sources Web Stress: A Wake-Up Call for European Business (Foviance, 2010) http://www.ca.com/us/~/media/files/supportingpieces/final_webstress_survey_report_229296.aspx 2013 Social & Mobile Commerce Consumer Report (Shop.org / comScore) http://shop.org/research/original/2013-social-mobile-commerce-consumer-report 2012 Mobile User Survey (Keynote) http://www.keynote.com/docs/reports/Keynote-2012-Mobile-User-Survey.pdf 2013 State of the Union: Mobile Ecommerce Performance (Radware) http://www.radware.com/mobile-sotu2013/ The Danger of a Poor Mobile Shopping Experience [INFOGRAPHIC] http://www.getelastic.com/the-danger-of-a-poor-mobile-shopping-experience-infographic/ Case study: The impact of HTML delay on mobile business metrics (Web Performance Today, November 2011) http://www.webperformancetoday.com/2011/11/23/case-study-slow-page-load-mobile-business-metrics/ I was a mobile-only user for six weeks (Erin Kissane) http://the-pastry-box-project.net/erin-kissane/2013-november-12/ Slide 67
  • 68. Questions? Velocity Office Hour – Today @ 16:15 webperformancetoday.com twitter.com/tameverts linkedin.com/in/tammyeverts plus.google.com/+TammyEverts/ Slide 68