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Olivia Simon
WSJ
Building Habits That Matter: How
WSJ Models Subscriber Behavior
to Improve Retention and
Engagement
Tune in on Twitter: #testandlearn19
Building Habits That Matter
at WSJ
DOW JONES OPTIMIZATION
What Does Experimentation at
WSJ Look Like?
DOW JONES OPTIMIZATION
Where Do We Test?
Acquisition:
Homepage placements
Article roadblocks
Shop
Checkout
Engagement:
Onboarding
Newsletter Center
Platforms Center
Customer Center
DOW JONES OPTIMIZATION
Where Do We Test?
Product:
Home page
Article pages
Videos / Video Center
Retention:
Online Cancel
Winback shop
Winback emails
Credit Card Decline
WSJ & BARRON’S iOS TESTING - 2016
DOW JONES OPTIMIZATION
How Do We Quantify the Value
of Product Testing?
DOW JONES OPTIMIZATION
Acquisition Tests Make Us $$$$
100 People
Shop Test
10% Uplift!
10 More
orders!
10 orders x $2 per order = $20!
DOW JONES OPTIMIZATION
But Do Product Tests Make Us $$$?
100 People
Article Test:
Email Shares
10% Uplift!
10 More email
shares
10 more email shares? So what?
DOW JONES OPTIMIZATION
Determining A Fair Metric For Product Testing
Did they ride it again? Did they order it again?
Test question: What does WSJ have that
keeps members around longer?
DOW JONES OPTIMIZATION
Turning Product Actions Into Value
The Habit Project:
A model to determine what onsite habits
make members stay longer.
DOW JONES OPTIMIZATION
Habit in a Nutshell
Over 50 product actions
● Content types (section,
column)
● Authors
● Video/Audio
● Sharing
● Product benefits (app,
newsletter, WS+)
Resulting 1-year
retention rate
+
Likelihood
Yes! :)
No! >:(
In a member’s first
100 days, did they
do the action?
DOW JONES OPTIMIZATION
First 100 Days = Habit Magic
Opportunity
Window
First 100 Days
DOW JONES OPTIMIZATION
Correlation vs Causation?
What if people who
share via email are
just more engaged
members than
those who watch
video content?”
1. Model focuses on non-habituated
readers (ie, first 100 days).
2. Trends held true regardless of
tenure and subscription package
selected.
DOW JONES OPTIMIZATION
Our Framework for Mapping Habits
Habit’s Impact on 1 Year Retention Rate
CurrentAdoptionRateoftheHabit
LOW HIGH
HIGH
LOW Unlikely and Not
Sticky!
Highly Likely and
Very Sticky!
Very Sticky, but
Unlikely
Very Likely, but
not Sticky
DOW JONES OPTIMIZATION
LOW HIGH
2
122 11
10
4 8HIGH
LOW
1
Our Framework for Mapping Habits
Habit’s Impact on 1 Year Retention Rate
CurrentAdoptionRateoftheHabit
DOW JONES OPTIMIZATION
A Peek At The Results
WSJ App Newsletters Our Content!
WSJ & BARRON’S iOS TESTING - 2016
DOW JONES OPTIMIZATION
Actioning Sticky Habits via Testing
DOW JONES OPTIMIZATION
Testing Our Onboarding Flow
Mobile Apps
Card 1
Newsletter
Card 2
WSJ+
Card 4
Social
Card 5
PI Card
Card 3
Control
DOW JONES OPTIMIZATION
Testing Our Onboarding Flow
Variation
App Card 1
Newsletter Card 2
Puzzle Card 4 Watchlist Card 5
Video Card 6
Podcast Card 7 WSJ+ Card 8 Social Card 9
PI Card 3
Books and Sports
Newsletters Added
+51%
increase in average
number of
engagement actions
being taken
DOW JONES OPTIMIZATION
Get Them to The App!
Variation
+4.3% app download rate
Control
DOW JONES OPTIMIZATION
Get Them to The App! Part 2
Variation
+7194% app download rate
Control
DOW JONES OPTIMIZATION
Get Them to The App! Part 3
Variation
+13% app download rate
Control
WSJ & BARRON’S iOS TESTING - 2016
DOW JONES OPTIMIZATION
Evaluating Success
DOW JONES OPTIMIZATION
How Much We’ve Changed Engagement With Sticky Actions
Habit Change
Play Podcast on WSJ.com +371%
Read Content A +118%
Play Puzzle +54%
Read Author A +51%
Read Author B +51%
Subscribe to New Newsletter +44%
Post Comment +14%
Read Content B +10%
Visit On Weekend +7%
Login App +6%
Add to Watchlist -2%
Read Content C -7%
Read Content D -16%
DOW JONES OPTIMIZATION
Building Habits That Matter
at WSJ
Next Session
How to Leverage Design to Learn & Deliver
Results Quickly
Angel Steger
Director of Product Design, Dropbox
Tune in on Twitter: #testandlearn19

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Test & Learn: Building Habits That Matter - How WSJ Models Subscriber Behavior to Improve Retention & Engagement

  • 1. Olivia Simon WSJ Building Habits That Matter: How WSJ Models Subscriber Behavior to Improve Retention and Engagement Tune in on Twitter: #testandlearn19
  • 2. Building Habits That Matter at WSJ
  • 3. DOW JONES OPTIMIZATION What Does Experimentation at WSJ Look Like?
  • 4. DOW JONES OPTIMIZATION Where Do We Test? Acquisition: Homepage placements Article roadblocks Shop Checkout Engagement: Onboarding Newsletter Center Platforms Center Customer Center
  • 5. DOW JONES OPTIMIZATION Where Do We Test? Product: Home page Article pages Videos / Video Center Retention: Online Cancel Winback shop Winback emails Credit Card Decline
  • 6. WSJ & BARRON’S iOS TESTING - 2016 DOW JONES OPTIMIZATION How Do We Quantify the Value of Product Testing?
  • 7. DOW JONES OPTIMIZATION Acquisition Tests Make Us $$$$ 100 People Shop Test 10% Uplift! 10 More orders! 10 orders x $2 per order = $20!
  • 8. DOW JONES OPTIMIZATION But Do Product Tests Make Us $$$? 100 People Article Test: Email Shares 10% Uplift! 10 More email shares 10 more email shares? So what?
  • 9. DOW JONES OPTIMIZATION Determining A Fair Metric For Product Testing Did they ride it again? Did they order it again? Test question: What does WSJ have that keeps members around longer?
  • 10. DOW JONES OPTIMIZATION Turning Product Actions Into Value The Habit Project: A model to determine what onsite habits make members stay longer.
  • 11. DOW JONES OPTIMIZATION Habit in a Nutshell Over 50 product actions ● Content types (section, column) ● Authors ● Video/Audio ● Sharing ● Product benefits (app, newsletter, WS+) Resulting 1-year retention rate + Likelihood Yes! :) No! >:( In a member’s first 100 days, did they do the action?
  • 12. DOW JONES OPTIMIZATION First 100 Days = Habit Magic Opportunity Window First 100 Days
  • 13. DOW JONES OPTIMIZATION Correlation vs Causation? What if people who share via email are just more engaged members than those who watch video content?” 1. Model focuses on non-habituated readers (ie, first 100 days). 2. Trends held true regardless of tenure and subscription package selected.
  • 14. DOW JONES OPTIMIZATION Our Framework for Mapping Habits Habit’s Impact on 1 Year Retention Rate CurrentAdoptionRateoftheHabit LOW HIGH HIGH LOW Unlikely and Not Sticky! Highly Likely and Very Sticky! Very Sticky, but Unlikely Very Likely, but not Sticky
  • 15. DOW JONES OPTIMIZATION LOW HIGH 2 122 11 10 4 8HIGH LOW 1 Our Framework for Mapping Habits Habit’s Impact on 1 Year Retention Rate CurrentAdoptionRateoftheHabit
  • 16. DOW JONES OPTIMIZATION A Peek At The Results WSJ App Newsletters Our Content!
  • 17. WSJ & BARRON’S iOS TESTING - 2016 DOW JONES OPTIMIZATION Actioning Sticky Habits via Testing
  • 18. DOW JONES OPTIMIZATION Testing Our Onboarding Flow Mobile Apps Card 1 Newsletter Card 2 WSJ+ Card 4 Social Card 5 PI Card Card 3 Control
  • 19. DOW JONES OPTIMIZATION Testing Our Onboarding Flow Variation App Card 1 Newsletter Card 2 Puzzle Card 4 Watchlist Card 5 Video Card 6 Podcast Card 7 WSJ+ Card 8 Social Card 9 PI Card 3 Books and Sports Newsletters Added +51% increase in average number of engagement actions being taken
  • 20. DOW JONES OPTIMIZATION Get Them to The App! Variation +4.3% app download rate Control
  • 21. DOW JONES OPTIMIZATION Get Them to The App! Part 2 Variation +7194% app download rate Control
  • 22. DOW JONES OPTIMIZATION Get Them to The App! Part 3 Variation +13% app download rate Control
  • 23. WSJ & BARRON’S iOS TESTING - 2016 DOW JONES OPTIMIZATION Evaluating Success
  • 24. DOW JONES OPTIMIZATION How Much We’ve Changed Engagement With Sticky Actions Habit Change Play Podcast on WSJ.com +371% Read Content A +118% Play Puzzle +54% Read Author A +51% Read Author B +51% Subscribe to New Newsletter +44% Post Comment +14% Read Content B +10% Visit On Weekend +7% Login App +6% Add to Watchlist -2% Read Content C -7% Read Content D -16%
  • 25. DOW JONES OPTIMIZATION Building Habits That Matter at WSJ
  • 26. Next Session How to Leverage Design to Learn & Deliver Results Quickly Angel Steger Director of Product Design, Dropbox Tune in on Twitter: #testandlearn19