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| Responsive © 2014
Nordic Growth Hackers
January 2015
MOFIBO
60% increase in conversion in 5 weeks.
Use data to increase engagement
| 7/11/14
1
Den Blå Planet – A typical Start-up Scenario
| 18-03-2022 | Responsive © 2013
2
Inauguration
Visitors first 12
months
Marketing
permissions first 12
months
Mar 2013
> 1M
Almost 0
Den Blå Planet -
Denmark’s biggest aquarium
The Start-up process
| 18-03-2022 | Responsive © 2013
3
Develop
Build release version v1
Focus: Product features
Release
Release v1  Onboard users
 Improve product
Focus: Product viability
Scale
• More users
• More markets
• More functions
• More user segments
• …
 More revenue
Focus: Product scalability
Efficient communication with your users
comes at what stage?
| 18-03-2022 | Responsive © 2014
4
Business model
| 18-03-2022 | Responsive © 2014
6
The customer pays kr. 99/month.
When the customer has read more than 10% of
a book Mofibo has to pay the publisher.
The more recent the book - the more expensive.
Older books are purchased in bulk.
Customers must be engaged - but not too happy
with the product
Mapping af Mofibos Customer Journey
| 18-03-2022 | Responsive © 2014
7
Pre sign-up
(No creditcard info)
Free Trial
(First 14 days)
Semi-active
(Day 14-50)
Active
(+50 days)
Pre-churn
(churn risk)
Anti-churn
(Sign off og APP still active)
“Save” Activation, 0-30 days,APP inaktive “Saved” Winback
| 18-03-2022 | Responsive © 2014
8
Pre sign-up
(Users who have tried sign-up without giving credit
card information)
Pre-active
(First 14 days)
Create
profile
Enter
creditc.
Approved
sign uo
@
Sign-up web
Sign-up APP
Call center
No Creditc.
info 1
No creditc-
info 2
List to
Call center
@
@
Welcome
acknowledgment
@
Welcome
Editor
Instant
48 hours after sign-up
1 houer after
sign-up try
2 days after
sign-up try
4 days after
sign-up try Download APP
Login APP
Get a book
Read book
Share book
Review book
Like book
@
Get 1th book
Badge
@
Read 1th book
Badge
@
Share book
Badge
@
Review book
Badge
@
Liket book
Badge
@
Pre-active
medium
@
Pre-active
high
@
Pre-active
low
48 Hours: Welcome Editor
@
Pre-active
none
@
Pre-active
No book
@
Pre-active
medium
@
Pre-active
high
@
Pre-active
low
REMINDER OR INFOMAIL: 8 days after sign-up
@
Pre-active
none
@
Pre-active
No book
@
Pre-active
medium
@
Pre-active
high
@
Pre-active
low
REMINDER OR INFOMAIL 15 days after sign-up
@
Pre-active
none
@
Pre-active
No book
Inactive users
Engagementscore= inactive vs. active
Engagementscore= inactive vs. active
Engagementscore= inactive vs. active
Semi-active
(14-50 days)
First payment Login APP
Take a book
Share book
Review book
Like bog
Read book
Segmented active-flow 1 –
25 days after sign-up
@
Get a book
Badge
@
Read1th book
Badge
@
Share book
Badge
@
Review
Badge
@ Liket bog
Badge
@
Active
low
@
Active
medium
@
Active
high
@
Active
low
@
Active
medium
@
Active
high
@
Active
low
@
Active
medium
@
Active
high
Inactive users
Engagementscore= active vs. inactive
Segmented active-flow 2 –
35 days after sign-up
Segmented active-flow 3 –
50 days aftersign-up
Engagementscore= active vs. inactive Engagementscore= active vs. inactive
Pre-churn
(churn risk)
Active
(50 days)
Anti-churn
(After sign off. APP still active)
2nd payment
Sign-off
Do not take a book
Do not read book
No loginAPP
3rd payment (ongoing)
Login APP
Get book
Read book
Shared book
Review book
Like book Instant
@
Sign-off
receipt
@
Newsletter + reminder
@
Log-in
(+60 days)
@
Get book
(+60 days)
@
Read book
(+60 days)
@
Bookbadge
@
Read 1th bookbadge
@
Share bookbadge
@
Review bookbadge
@
Liket bookbadge
@
Inactive users Inactive users
Engagementscore= active vs. inactive
Engagementscore= inactive
@
No-user
(segment 1)
+1 days from
sign-off
@
Users
(segment 2-5)
@
No-user
(segment 1)
3 days before
inactivation
@
User
(segment 2-5
WITH offer)
@
User
(segment 2-5
WITHOUT
offer)
“Saved”
(Customer win-back)
“Save period” Activation, 0-30 days after APP is inactive
(Active attempt to save the customer s)
Inactive customer
Customer is active
@
Survey + competition
+3 days before inactivation
@
”Glad you are back”
One day after win-back
Mini-survey
@
Winner
No-offer
+10 days before
inactivation
@
Non winner
WITH offer
@
NON winner
no-offer
Winback
(customer is back)
@
1-shot subscription offer
1 Winback
@
Winner WITH
offer
Defining characteristics within segments
| 18-03-2022 | Responsive © 2014
12
1 2 3 4 5
Persons with
no log-on
history
Log-on – but
no reading
High
engagement.
Promote
recommen-
dation,
evaluation,
etc..
Good start we
want to
confirm the
Mofibo
concept.
Has started
reading – but
still not truly
engaged
| 18-03-2022 | Responsive © 2014
13
Different versions of e-mails
1 2 3 4 5
Persons with
no log-on
history
Log-on – but
no reading
High
engagement.
Promote
recommen-
dation,
evaluation,
etc..
Good start we
want to
confirm the
Mofibo
concept.
Has started
reading – but
still not truly
engaged
| 18-03-2022 | Responsive © 2014
14
Results – conversion from trial to 1st payment (5 week test)
TOTAL
9.189
CONVERTED
5.867
CONVERSION RATE
63,85 %
5 5 4 4 4
48
41
36
34 33
19
20
41 20
19
25
28 30
31
33
4 6 9 10 12
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
30 31 32 33 34
WEEK
Segment 5
Segment 4
Segment 3
Segment 2
Segment 1
| 18-03-2022 | Responsive © 2014
15

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Tomas Gorrissen, CCO, Responsive

  • 1. | Responsive © 2014 Nordic Growth Hackers January 2015 MOFIBO 60% increase in conversion in 5 weeks. Use data to increase engagement | 7/11/14 1
  • 2. Den Blå Planet – A typical Start-up Scenario | 18-03-2022 | Responsive © 2013 2 Inauguration Visitors first 12 months Marketing permissions first 12 months Mar 2013 > 1M Almost 0 Den Blå Planet - Denmark’s biggest aquarium
  • 3. The Start-up process | 18-03-2022 | Responsive © 2013 3 Develop Build release version v1 Focus: Product features Release Release v1  Onboard users  Improve product Focus: Product viability Scale • More users • More markets • More functions • More user segments • …  More revenue Focus: Product scalability Efficient communication with your users comes at what stage?
  • 4. | 18-03-2022 | Responsive © 2014 4
  • 5.
  • 6. Business model | 18-03-2022 | Responsive © 2014 6 The customer pays kr. 99/month. When the customer has read more than 10% of a book Mofibo has to pay the publisher. The more recent the book - the more expensive. Older books are purchased in bulk. Customers must be engaged - but not too happy with the product
  • 7. Mapping af Mofibos Customer Journey | 18-03-2022 | Responsive © 2014 7 Pre sign-up (No creditcard info) Free Trial (First 14 days) Semi-active (Day 14-50) Active (+50 days) Pre-churn (churn risk) Anti-churn (Sign off og APP still active) “Save” Activation, 0-30 days,APP inaktive “Saved” Winback
  • 8. | 18-03-2022 | Responsive © 2014 8 Pre sign-up (Users who have tried sign-up without giving credit card information) Pre-active (First 14 days) Create profile Enter creditc. Approved sign uo @ Sign-up web Sign-up APP Call center No Creditc. info 1 No creditc- info 2 List to Call center @ @ Welcome acknowledgment @ Welcome Editor Instant 48 hours after sign-up 1 houer after sign-up try 2 days after sign-up try 4 days after sign-up try Download APP Login APP Get a book Read book Share book Review book Like book @ Get 1th book Badge @ Read 1th book Badge @ Share book Badge @ Review book Badge @ Liket book Badge @ Pre-active medium @ Pre-active high @ Pre-active low 48 Hours: Welcome Editor @ Pre-active none @ Pre-active No book @ Pre-active medium @ Pre-active high @ Pre-active low REMINDER OR INFOMAIL: 8 days after sign-up @ Pre-active none @ Pre-active No book @ Pre-active medium @ Pre-active high @ Pre-active low REMINDER OR INFOMAIL 15 days after sign-up @ Pre-active none @ Pre-active No book Inactive users Engagementscore= inactive vs. active Engagementscore= inactive vs. active Engagementscore= inactive vs. active
  • 9. Semi-active (14-50 days) First payment Login APP Take a book Share book Review book Like bog Read book Segmented active-flow 1 – 25 days after sign-up @ Get a book Badge @ Read1th book Badge @ Share book Badge @ Review Badge @ Liket bog Badge @ Active low @ Active medium @ Active high @ Active low @ Active medium @ Active high @ Active low @ Active medium @ Active high Inactive users Engagementscore= active vs. inactive Segmented active-flow 2 – 35 days after sign-up Segmented active-flow 3 – 50 days aftersign-up Engagementscore= active vs. inactive Engagementscore= active vs. inactive
  • 10. Pre-churn (churn risk) Active (50 days) Anti-churn (After sign off. APP still active) 2nd payment Sign-off Do not take a book Do not read book No loginAPP 3rd payment (ongoing) Login APP Get book Read book Shared book Review book Like book Instant @ Sign-off receipt @ Newsletter + reminder @ Log-in (+60 days) @ Get book (+60 days) @ Read book (+60 days) @ Bookbadge @ Read 1th bookbadge @ Share bookbadge @ Review bookbadge @ Liket bookbadge @ Inactive users Inactive users Engagementscore= active vs. inactive Engagementscore= inactive @ No-user (segment 1) +1 days from sign-off @ Users (segment 2-5) @ No-user (segment 1) 3 days before inactivation @ User (segment 2-5 WITH offer) @ User (segment 2-5 WITHOUT offer)
  • 11. “Saved” (Customer win-back) “Save period” Activation, 0-30 days after APP is inactive (Active attempt to save the customer s) Inactive customer Customer is active @ Survey + competition +3 days before inactivation @ ”Glad you are back” One day after win-back Mini-survey @ Winner No-offer +10 days before inactivation @ Non winner WITH offer @ NON winner no-offer Winback (customer is back) @ 1-shot subscription offer 1 Winback @ Winner WITH offer
  • 12. Defining characteristics within segments | 18-03-2022 | Responsive © 2014 12 1 2 3 4 5 Persons with no log-on history Log-on – but no reading High engagement. Promote recommen- dation, evaluation, etc.. Good start we want to confirm the Mofibo concept. Has started reading – but still not truly engaged
  • 13. | 18-03-2022 | Responsive © 2014 13 Different versions of e-mails 1 2 3 4 5 Persons with no log-on history Log-on – but no reading High engagement. Promote recommen- dation, evaluation, etc.. Good start we want to confirm the Mofibo concept. Has started reading – but still not truly engaged
  • 14. | 18-03-2022 | Responsive © 2014 14 Results – conversion from trial to 1st payment (5 week test) TOTAL 9.189 CONVERTED 5.867 CONVERSION RATE 63,85 % 5 5 4 4 4 48 41 36 34 33 19 20 41 20 19 25 28 30 31 33 4 6 9 10 12 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 30 31 32 33 34 WEEK Segment 5 Segment 4 Segment 3 Segment 2 Segment 1
  • 15. | 18-03-2022 | Responsive © 2014 15

Editor's Notes

  1. ≈ ALMOST EQUAL TO Unicode: U+2248, UTF-8: E2 89 88