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UX Analytics and Experimentation
for eCommerce Growth
Narayan Keshavan
Head – Digital Analytics
(Design Analytics)
About Me
• Head of Digital Analytics in the Design Analytics org., a
global team that owns the experimentation charter for
Dell.com
• Over 13 years of experience spanning eCommerce, Telecom
and Insurance sectors
• Have managed marketing with P&L responsibilities for over
USD 45 Mn in the hyper-competitive telecom sector
• Have managed teams working in the area of marketing and
digital marketing analytics including conversion rate
optimisation, campaign analytics, SEO and social media
listening.
• Lead the Digital Analytics Community (DAC) initiative to
build and expand a thriving community of digital analytics
professionals DigitalAnalyticsCommunity.wordpress.com
Focus on the user
EDD EDDand all else will follow
Dell.com - an optimization journey with
experimentation at its core
1996 2009 2020
Narayan Keshavan | Design Analytics | Dell Digital Design
A “great idea” can come from anywhere
Narayan Keshavan | Design Analytics | Dell Digital Design
Quantitative Qualitative
UX
Analytics
Heatmaps/
Session replays
VOC
Test
iterations
Business
inputs
Building your experimentation roadmap
Experimentation
Roadmap
Business
inputs
Bench-
marking
Voice of
users
Product
roadmap
Test
Insights
Analytics
UX
Research
Product
managers
Design/ UX
Marketing
eCommerce
Segment/
Element targeted
KPI Projections
Iterative experimentation
success metricshypothesis
analysis performance check
Key principles for an effective
experimentation strategy
Less is ‘More’?
Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
Nothing is OBVIOUS
Experimentation is the real ‘Moment of Truth’
and can, many times, SURPRISE us!
Image courtesy: Fabian Reitmeier | pexels
Reducing the clutter had unintended consequences
Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
“I have not failed.
I've just found 10,000 ways that won't
work.”
― Thomas A. Edison
There is no such thing
as a ‘failed experiment’!
Every test offers insights which feed
into subsequent iterations
We tried to simplify the checkout pages by collapsing
optional fields
optional
fields
Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
Interestingly, more users dropped off later in checkout
optional fields
collapsed
Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
The insights gained helped us iterate with a better experience
optional
fields at the
bottom
(not collapsed)
Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
mandator
y fields
Beware of ‘Testing Myopia’Avoid ‘Testing Myopia’
Short-sightedness in interpreting test results
may prove detrimental to business
Image courtesy: David Travis | unsplash
Let’s consider an A/B test for a banner
Variation A Variation B
Which variation is better? Do you say ‘B’?
A B
Metric Variation A Variation B
Visits 1000 1000
Users 200 100
Conversion Rate
Users 10% 12%
Please Note: I have taken random numbers for convenience of explanation. These are not from any real test
Which variation is better? Is it that obvious?
A B
Metric Variation A Variation B
Visits 1000 1000
Users 200 100
Orders
Users 20 12
Conversion Rate
Users 10% 12%
Please Note: I have taken random numbers for convenience of explanation. These are not from any real test
What do you think now? Is ‘A’ better?
A B
Metric Variation A Variation B
Visits 1000 1000
Users 200 100
Non-users 800 900
Orders 36 30
Users 20 12
Non-users 16 18
Conversion Rate 3.6% 3.0%
Users 10% 12%
Non-users 2% 2%
Please Note: I have taken random numbers for convenience of explanation. These are not from any real test
What do you think now? Is ‘A’ better?
A B
Metric Variation A Variation B
Visits 1000 1000
Users 200 100
Non-users 800 900
Orders 36 30
Users 20 12
Non-users 16 18
Conversion Rate 3.6% 3.0%
Users 10% 12%
Non-users 2% 2%
Please Note: I have taken random numbers for convenience of explanation. These are not from any real test
Users are on your team
Image courtesy: Malte Wingen | unsplash
Keeping your ears open to what
users are saying is often rewarding
Users were not sure about the payment options available
till they reached the payment page
Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
Simply adding this information on the cart page improved
cart conversion
Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
Competition has it; do we need it too?
Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
Every website is unique
‘Competitive Benchmarking’ trap - just because a
leading website has it, doesn’t mean it will work for you
We added merchandising banners in the masthead
Only to realise that not many users clicked on it
Don’t lean towards
‘your’ idea
Aim to ‘TEST' if the idea is effective;
not ‘PROVE' that the idea is effective
Image courtesy: Marco Ceschi | unsplash
What is the best way to sort search results?
Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
Conversion improved but not for the reasons expected
Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
Did we implement this then?
Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
Every website
is unique
Don’t lean towards
‘your’ idea
Nothing is
obvious
There is no such thing
as a ‘failed experiment’
Users are on
your team
In a nutshell…
Avoid ‘Testing Myopia’
Thank you Thank you
QnA
[Next up]
An Interview with Amazon Prime Video’s
Sr. Product Lead Karan Peri
Date & Time - 22 July | 11 AM ET / 8 AM PT
Details - vwo.com/webcast

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UX Analytics and Experimentation for eCommerce Growth

  • 1. UX Analytics and Experimentation for eCommerce Growth Narayan Keshavan Head – Digital Analytics (Design Analytics)
  • 2. About Me • Head of Digital Analytics in the Design Analytics org., a global team that owns the experimentation charter for Dell.com • Over 13 years of experience spanning eCommerce, Telecom and Insurance sectors • Have managed marketing with P&L responsibilities for over USD 45 Mn in the hyper-competitive telecom sector • Have managed teams working in the area of marketing and digital marketing analytics including conversion rate optimisation, campaign analytics, SEO and social media listening. • Lead the Digital Analytics Community (DAC) initiative to build and expand a thriving community of digital analytics professionals DigitalAnalyticsCommunity.wordpress.com
  • 3. Focus on the user EDD EDDand all else will follow
  • 4. Dell.com - an optimization journey with experimentation at its core 1996 2009 2020 Narayan Keshavan | Design Analytics | Dell Digital Design
  • 5. A “great idea” can come from anywhere Narayan Keshavan | Design Analytics | Dell Digital Design Quantitative Qualitative UX Analytics Heatmaps/ Session replays VOC Test iterations Business inputs
  • 6. Building your experimentation roadmap Experimentation Roadmap Business inputs Bench- marking Voice of users Product roadmap Test Insights Analytics UX Research Product managers Design/ UX Marketing eCommerce Segment/ Element targeted KPI Projections
  • 8. Key principles for an effective experimentation strategy
  • 9. Less is ‘More’? Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
  • 10. Nothing is OBVIOUS Experimentation is the real ‘Moment of Truth’ and can, many times, SURPRISE us! Image courtesy: Fabian Reitmeier | pexels
  • 11. Reducing the clutter had unintended consequences Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
  • 12. “I have not failed. I've just found 10,000 ways that won't work.” ― Thomas A. Edison
  • 13. There is no such thing as a ‘failed experiment’! Every test offers insights which feed into subsequent iterations
  • 14. We tried to simplify the checkout pages by collapsing optional fields optional fields Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
  • 15. Interestingly, more users dropped off later in checkout optional fields collapsed Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
  • 16. The insights gained helped us iterate with a better experience optional fields at the bottom (not collapsed) Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version mandator y fields
  • 17. Beware of ‘Testing Myopia’Avoid ‘Testing Myopia’ Short-sightedness in interpreting test results may prove detrimental to business Image courtesy: David Travis | unsplash
  • 18. Let’s consider an A/B test for a banner Variation A Variation B
  • 19. Which variation is better? Do you say ‘B’? A B Metric Variation A Variation B Visits 1000 1000 Users 200 100 Conversion Rate Users 10% 12% Please Note: I have taken random numbers for convenience of explanation. These are not from any real test
  • 20. Which variation is better? Is it that obvious? A B Metric Variation A Variation B Visits 1000 1000 Users 200 100 Orders Users 20 12 Conversion Rate Users 10% 12% Please Note: I have taken random numbers for convenience of explanation. These are not from any real test
  • 21. What do you think now? Is ‘A’ better? A B Metric Variation A Variation B Visits 1000 1000 Users 200 100 Non-users 800 900 Orders 36 30 Users 20 12 Non-users 16 18 Conversion Rate 3.6% 3.0% Users 10% 12% Non-users 2% 2% Please Note: I have taken random numbers for convenience of explanation. These are not from any real test
  • 22. What do you think now? Is ‘A’ better? A B Metric Variation A Variation B Visits 1000 1000 Users 200 100 Non-users 800 900 Orders 36 30 Users 20 12 Non-users 16 18 Conversion Rate 3.6% 3.0% Users 10% 12% Non-users 2% 2% Please Note: I have taken random numbers for convenience of explanation. These are not from any real test
  • 23. Users are on your team Image courtesy: Malte Wingen | unsplash Keeping your ears open to what users are saying is often rewarding
  • 24. Users were not sure about the payment options available till they reached the payment page Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
  • 25. Simply adding this information on the cart page improved cart conversion Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
  • 26. Competition has it; do we need it too? Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
  • 27. Every website is unique ‘Competitive Benchmarking’ trap - just because a leading website has it, doesn’t mean it will work for you
  • 28. We added merchandising banners in the masthead
  • 29. Only to realise that not many users clicked on it
  • 30. Don’t lean towards ‘your’ idea Aim to ‘TEST' if the idea is effective; not ‘PROVE' that the idea is effective Image courtesy: Marco Ceschi | unsplash
  • 31. What is the best way to sort search results? Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
  • 32. Conversion improved but not for the reasons expected Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
  • 33. Did we implement this then? Please note: the screenshots have been simplified for illustration and do not completely resemble the actual version
  • 34. Every website is unique Don’t lean towards ‘your’ idea Nothing is obvious There is no such thing as a ‘failed experiment’ Users are on your team In a nutshell… Avoid ‘Testing Myopia’
  • 36. QnA
  • 37. [Next up] An Interview with Amazon Prime Video’s Sr. Product Lead Karan Peri Date & Time - 22 July | 11 AM ET / 8 AM PT Details - vwo.com/webcast