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Michael Briggs
Director, Growth
@SkyscannerGrwth
Developing Multi-channel Journeys
that Drive Growth
In Digital Marketing
almost 20 years
Worked in
Edinburgh, Glasgow,
Dubai, London and
Manila
Joined Skyscanner 3
years ago
Director inside
Central Growth
Modelling for Marketing
WhatsApp
Modelling for Marketing
WhatsApp
Facebook
Modelling for Marketing
WhatsApp
Facebook
Google
Modelling for Marketing
WhatsApp
Facebook
Google
Email
Modelling for Marketing
WhatsApp
Facebook
Google
Email
Phone
Modelling for Marketing
WhatsApp
Facebook
Google
Email
Snapchat
Awareness Interest Decision Action
At Skyscanner we …
• Believe in growth rather than marketing
• Focus on the problems we solve for users
• Develop systems and mechanisms to deliver solutions to these problems
At Skyscanner we have our own approach
How we measure growth at Skyscanner
How we measure growth at Skyscanner
User comes to your business from
various channels
How we measure growth at Skyscanner
User has a positive experience from
your product/service
How we measure growth at Skyscanner
User got value before and returns,
visiting visits multiple times
How we measure growth at Skyscanner
User likes experience and product
so much they tell their friends about
you and refers them
How we measure growth at Skyscanner
User conducts the activities that
generate revenue
How we measure growth at Skyscanner
Channel and Content appropriate for
first time visitors
Channels and Content appropriate
to develop repeated use
Acquisition
Activation
Retention
Reduces Acquisition Costs
Acquisition
Activation
Retention
Reduces Acquisition Costs
Maximises Customer Lifetime Value
Acquisition
Activation
Retention
Reduces Acquisition Costs
Maximises Customer Lifetime Value
Drives sustainable long term compound growth
UMV -> Pirate Metrics -> CLV
For this to work
A multi-channel approach to growth requires :
1. Validate that potential users see this as a problem
2. Understand as deeply as possible the user problem you are solving
3. Develop solution(s) to these problems
4. Create channel visibility in these places
5. Launch responses to re-engage users who don’t get the value
6. Measure everything
7. Restart at stage one
A multi-channel approach to growth requires :
“Take a risk and keep testing,
because what works today won’t work tomorrow,
But what worked yesterday may work again.”
Amrita Sahasrabudhe
Moving from theory into practice
Our Hypothesised User Problem Example
“I want to go on holiday to Ibiza but I don’t want to get a good
deal on my flights as I’m tired of dealing with witches and the
dwarves need a break also”
Validating the problem
Discovery Channel Platforms Extent of the problem
Search Engines Google, Yandex, Yahoo!,
Naver, Bing
In some markets lots of
questions being asked, in
some markets not as
important
Forums Quora, Yahoo! Answers.
Forums
Number of questions
being asked
Social Facebook, Twitter Ongoing deep
conversations
Ask questions of users User satisfaction, users
testing
Some qualitative data
available
Best Time to Book Solutions
Channel based experiments
• SEO
• SEM (PPC)
• Social posts
• Email promotion
Baselines on retention characteristics
Baselines tell us certain things
• The differences in retention between :
• new and returning users
• Mobile and desktop users
• Entry Channel performance
• Natural Multi-channel performance
How we leveraged this data?
IF This Then That Model
QuestionsRetentionActivationAcquisition
Acquired User
through channel
and messaging
Gets Product Value
User Returns
What can we learn
from the cohorts
behavior and
apply?
User Doesn’t
Return
What happened
differently?
Does Something
Else
User Returns
What led the user
to return
User Doesn’t
Return
What does the
behavior tell us we
could have done
better
Bounces User doesn’t return
What could we
improve to deliver
more value?
IF This Then That Model
QuestionsRetentionActivationAcquisition
Acquired User
through channel
and messaging
Gets Product Value
User Returns
What can we learn
from the cohorts
behavior and
apply?
User Doesn’t
Return
What happened
differently?
Does Something
Else
User Returns
What led the user
to return
User Doesn’t
Return
What does the
behavior tell us we
could have done
better
Bounces User doesn’t return
What could we
improve to deliver
more value?
IF This Then That Model
QuestionsRetentionActivationAcquisition
Acquired User
through channel
and messaging
Gets Product Value
User Returns
What can we learn
from the cohorts
behavior and
apply?
User Doesn’t
Return
What happened
differently?
Does Something
Else
User Returns
What led the user
to return
User Doesn’t
Return
What does the
behavior tell us we
could have done
better
Bounces User doesn’t return
What could we
improve to deliver
more value?
IF This Then That Model
QuestionsRetentionActivationAcquisition
Acquired User
through channel
and messaging
Gets Product Value
User Returns
What can we learn
from the cohorts
behavior and
apply?
User Doesn’t
Return
What happened
differently?
Does Something
Else
User Returns
What led the user
to return
User Doesn’t
Return
What does the
behavior tell us we
could have done
better
Bounces User doesn’t return
What could we
improve to deliver
more value?
IF This Then That Model
QuestionsRetentionActivationAcquisition
Acquired User
through channel
and messaging
Gets Product Value
User Returns
What can we learn
from the cohorts
behavior and
apply?
User Doesn’t
Return
What happened
differently?
Does Something
Else
User Returns
What led the user
to return
User Doesn’t
Return
What does the
behavior tell us we
could have done
better
Bounces User doesn’t return
What could we
improve to deliver
more value?
IF This Then That Model
QuestionsRetentionActivationAcquisition
Acquired User
through channel
and messaging
Gets Product Value
User Returns
What can we learn
from the cohorts
behavior and
apply?
User Doesn’t
Return
What happened
differently?
Does Something
Else
User Returns
What led the user
to return
User Doesn’t
Return
What does the
behavior tell us we
could have done
better
Bounces User doesn’t return
What could we
improve to deliver
more value?
IF This Then That Model
QuestionsRetentionActivationAcquisition
Acquired User
through channel
and messaging
Gets Product Value
User Returns
What can we learn
from the cohorts
behavior and
apply?
User Doesn’t
Return
What happened
differently?
Does Something
Else
User Returns
What led the user
to return
User Doesn’t
Return
What does the
behavior tell us we
could have done
better
Bounces User doesn’t return
What could we
improve to deliver
more value?
IF This Then That Model
QuestionsRetentionActivationAcquisition
Acquired User
through channel
and messaging
Gets Product Value
User Returns
What can we learn
from the cohorts
behavior and
apply?
User Doesn’t
Return
What happened
differently?
Does Something
Else
User Returns
What led the user
to return
User Doesn’t
Return
What does the
behavior tell us we
could have done
better
Bounces User doesn’t return
What could we
improve to deliver
more value?
IF This Then That Model
QuestionsRetentionActivationAcquisition
Acquired User
through channel
and messaging
Gets Product Value
User Returns
What can we learn
from the cohorts
behavior and
apply?
User Doesn’t
Return
What happened
differently?
Does Something
Else
User Returns
What led the user
to return
User Doesn’t
Return
What does the
behavior tell us we
could have done
better
Bounces User doesn’t return
What could we
improve to deliver
more value?
Opportunities
• Email contact to those on newsletter
• Onsite merchandising and personalisation
• Retargetting on Facebook and other platforms
• Potential set of new content required by users
Winning channel journeys are replicated
Our MVP hadn’t fully solved the problem
“I want to go on holiday to Ibiza but I don’t want to get a good
deal on my flights as I’m tired of dealing with witches and the
dwarves need a break also”
Product Updated
Product Updated
Cannibalisation vs Incremental Growth in Multichannel
Brand Bidding : Biggest fight in search!
Brand Bidding Experiment
No ads showing on brand terms Ads showing on brand terms
Incremental Value
Cannibalisation
Paid Search
Organic Search
Two questions we looked to answer
1. What is the impact of brand bidding on brand search?
2. If we pay for sessions is there really a benefit of this activity?
Test Design
1. Have a test and control market (with similar characteristics)
2. Phase ad delivery in the test market
3. Change nothing in the control market
4. Analyse results for sessions and revenue
How we ran the experiment
Market Phase 1 Phase 2 Phase 3 Phase 4
Test
Control
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
How we ran the experiment
Market Phase 1 Phase 2 Phase 3 Phase 4
Test
Control
No Brand
SEM
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
How we ran the experiment
Market Phase 1 Phase 2 Phase 3 Phase 4
Test
Control
No Brand
SEM
Brand SEM
Mobile
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
How we ran the experiment
Market Phase 1 Phase 2 Phase 3 Phase 4
Test
Control
No Brand
SEM
Brand SEM
Mobile
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
How we ran the experiment
Market Phase 1 Phase 2 Phase 3 Phase 4
Test
Control
No Brand
SEM
Brand SEM
Mobile
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Brand SEM
Mobile +
Desktop
Results
1
2
3
Organic Sessions were cannibalised
All of these were recovered through
paid activity
And, sometimes, there was an
incremental gain.
Results
4
5
6
Incremental revenue was achieved
This was across all device types
The change in revenue varies by
new and returning users!
Takeaways
1. Put the users needs first when developing any strategy
2. Analytically process results to understand where is most effective
3. Multichannel isn’t always sequential
4. Be willing to be proven wrong!
Edinburgh • Glasgow • Singapore • Beijing • Miami • Barcelona • Shenzhen • Sofia •
Budapest
For more example Case Studies about experiments
inside channels and a copy of theseslides, visit:
bit.ly/multichanneljourneys

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Multi channel journeys inside growth

  • 1. Michael Briggs Director, Growth @SkyscannerGrwth Developing Multi-channel Journeys that Drive Growth
  • 2. In Digital Marketing almost 20 years Worked in Edinburgh, Glasgow, Dubai, London and Manila Joined Skyscanner 3 years ago Director inside Central Growth
  • 9. At Skyscanner we … • Believe in growth rather than marketing • Focus on the problems we solve for users • Develop systems and mechanisms to deliver solutions to these problems
  • 10. At Skyscanner we have our own approach
  • 11.
  • 12. How we measure growth at Skyscanner
  • 13. How we measure growth at Skyscanner User comes to your business from various channels
  • 14. How we measure growth at Skyscanner User has a positive experience from your product/service
  • 15. How we measure growth at Skyscanner User got value before and returns, visiting visits multiple times
  • 16. How we measure growth at Skyscanner User likes experience and product so much they tell their friends about you and refers them
  • 17. How we measure growth at Skyscanner User conducts the activities that generate revenue
  • 18. How we measure growth at Skyscanner Channel and Content appropriate for first time visitors Channels and Content appropriate to develop repeated use
  • 19.
  • 22. Acquisition Activation Retention Reduces Acquisition Costs Maximises Customer Lifetime Value Drives sustainable long term compound growth
  • 23. UMV -> Pirate Metrics -> CLV For this to work
  • 24. A multi-channel approach to growth requires : 1. Validate that potential users see this as a problem 2. Understand as deeply as possible the user problem you are solving 3. Develop solution(s) to these problems 4. Create channel visibility in these places 5. Launch responses to re-engage users who don’t get the value 6. Measure everything 7. Restart at stage one
  • 25. A multi-channel approach to growth requires :
  • 26. “Take a risk and keep testing, because what works today won’t work tomorrow, But what worked yesterday may work again.” Amrita Sahasrabudhe
  • 27. Moving from theory into practice
  • 28. Our Hypothesised User Problem Example “I want to go on holiday to Ibiza but I don’t want to get a good deal on my flights as I’m tired of dealing with witches and the dwarves need a break also”
  • 29. Validating the problem Discovery Channel Platforms Extent of the problem Search Engines Google, Yandex, Yahoo!, Naver, Bing In some markets lots of questions being asked, in some markets not as important Forums Quora, Yahoo! Answers. Forums Number of questions being asked Social Facebook, Twitter Ongoing deep conversations Ask questions of users User satisfaction, users testing Some qualitative data available
  • 30. Best Time to Book Solutions
  • 31. Channel based experiments • SEO • SEM (PPC) • Social posts • Email promotion
  • 32. Baselines on retention characteristics
  • 33. Baselines tell us certain things • The differences in retention between : • new and returning users • Mobile and desktop users • Entry Channel performance • Natural Multi-channel performance
  • 34. How we leveraged this data?
  • 35. IF This Then That Model QuestionsRetentionActivationAcquisition Acquired User through channel and messaging Gets Product Value User Returns What can we learn from the cohorts behavior and apply? User Doesn’t Return What happened differently? Does Something Else User Returns What led the user to return User Doesn’t Return What does the behavior tell us we could have done better Bounces User doesn’t return What could we improve to deliver more value?
  • 36. IF This Then That Model QuestionsRetentionActivationAcquisition Acquired User through channel and messaging Gets Product Value User Returns What can we learn from the cohorts behavior and apply? User Doesn’t Return What happened differently? Does Something Else User Returns What led the user to return User Doesn’t Return What does the behavior tell us we could have done better Bounces User doesn’t return What could we improve to deliver more value?
  • 37. IF This Then That Model QuestionsRetentionActivationAcquisition Acquired User through channel and messaging Gets Product Value User Returns What can we learn from the cohorts behavior and apply? User Doesn’t Return What happened differently? Does Something Else User Returns What led the user to return User Doesn’t Return What does the behavior tell us we could have done better Bounces User doesn’t return What could we improve to deliver more value?
  • 38. IF This Then That Model QuestionsRetentionActivationAcquisition Acquired User through channel and messaging Gets Product Value User Returns What can we learn from the cohorts behavior and apply? User Doesn’t Return What happened differently? Does Something Else User Returns What led the user to return User Doesn’t Return What does the behavior tell us we could have done better Bounces User doesn’t return What could we improve to deliver more value?
  • 39. IF This Then That Model QuestionsRetentionActivationAcquisition Acquired User through channel and messaging Gets Product Value User Returns What can we learn from the cohorts behavior and apply? User Doesn’t Return What happened differently? Does Something Else User Returns What led the user to return User Doesn’t Return What does the behavior tell us we could have done better Bounces User doesn’t return What could we improve to deliver more value?
  • 40. IF This Then That Model QuestionsRetentionActivationAcquisition Acquired User through channel and messaging Gets Product Value User Returns What can we learn from the cohorts behavior and apply? User Doesn’t Return What happened differently? Does Something Else User Returns What led the user to return User Doesn’t Return What does the behavior tell us we could have done better Bounces User doesn’t return What could we improve to deliver more value?
  • 41. IF This Then That Model QuestionsRetentionActivationAcquisition Acquired User through channel and messaging Gets Product Value User Returns What can we learn from the cohorts behavior and apply? User Doesn’t Return What happened differently? Does Something Else User Returns What led the user to return User Doesn’t Return What does the behavior tell us we could have done better Bounces User doesn’t return What could we improve to deliver more value?
  • 42. IF This Then That Model QuestionsRetentionActivationAcquisition Acquired User through channel and messaging Gets Product Value User Returns What can we learn from the cohorts behavior and apply? User Doesn’t Return What happened differently? Does Something Else User Returns What led the user to return User Doesn’t Return What does the behavior tell us we could have done better Bounces User doesn’t return What could we improve to deliver more value?
  • 43. IF This Then That Model QuestionsRetentionActivationAcquisition Acquired User through channel and messaging Gets Product Value User Returns What can we learn from the cohorts behavior and apply? User Doesn’t Return What happened differently? Does Something Else User Returns What led the user to return User Doesn’t Return What does the behavior tell us we could have done better Bounces User doesn’t return What could we improve to deliver more value?
  • 44. Opportunities • Email contact to those on newsletter • Onsite merchandising and personalisation • Retargetting on Facebook and other platforms • Potential set of new content required by users
  • 45. Winning channel journeys are replicated
  • 46. Our MVP hadn’t fully solved the problem “I want to go on holiday to Ibiza but I don’t want to get a good deal on my flights as I’m tired of dealing with witches and the dwarves need a break also”
  • 49. Cannibalisation vs Incremental Growth in Multichannel
  • 50. Brand Bidding : Biggest fight in search!
  • 51. Brand Bidding Experiment No ads showing on brand terms Ads showing on brand terms Incremental Value Cannibalisation Paid Search Organic Search
  • 52. Two questions we looked to answer 1. What is the impact of brand bidding on brand search? 2. If we pay for sessions is there really a benefit of this activity?
  • 53. Test Design 1. Have a test and control market (with similar characteristics) 2. Phase ad delivery in the test market 3. Change nothing in the control market 4. Analyse results for sessions and revenue
  • 54. How we ran the experiment Market Phase 1 Phase 2 Phase 3 Phase 4 Test Control Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop
  • 55. How we ran the experiment Market Phase 1 Phase 2 Phase 3 Phase 4 Test Control No Brand SEM Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop
  • 56. How we ran the experiment Market Phase 1 Phase 2 Phase 3 Phase 4 Test Control No Brand SEM Brand SEM Mobile Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop
  • 57. How we ran the experiment Market Phase 1 Phase 2 Phase 3 Phase 4 Test Control No Brand SEM Brand SEM Mobile Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop
  • 58. How we ran the experiment Market Phase 1 Phase 2 Phase 3 Phase 4 Test Control No Brand SEM Brand SEM Mobile Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop Brand SEM Mobile + Desktop
  • 59. Results 1 2 3 Organic Sessions were cannibalised All of these were recovered through paid activity And, sometimes, there was an incremental gain.
  • 60. Results 4 5 6 Incremental revenue was achieved This was across all device types The change in revenue varies by new and returning users!
  • 61. Takeaways 1. Put the users needs first when developing any strategy 2. Analytically process results to understand where is most effective 3. Multichannel isn’t always sequential 4. Be willing to be proven wrong!
  • 62. Edinburgh • Glasgow • Singapore • Beijing • Miami • Barcelona • Shenzhen • Sofia • Budapest For more example Case Studies about experiments inside channels and a copy of theseslides, visit: bit.ly/multichanneljourneys