SlideShare a Scribd company logo
A Growth Strategy to
an int’l Travel Meta Search Engine
(excerpt)
Nov 2015
Frankie Chan
frankie.wailun@gmail.comc
Content	
  
•  Background	
  
•  Idea	
  
•  Execu2on	
  
•  Success	
  metrics	
  
•  Q&A	
  
Background	
  
•  ??	
  M	
  unique	
  users	
  each	
  month	
  globally	
  	
  
•  Growing	
  trac2on	
  in	
  Asia	
  
–  20%	
  of	
  users	
  in	
  Asia	
  in	
  2014	
  vs.	
  6%	
  in	
  2012	
  
•  Minimal	
  awareness	
  in	
  Hong	
  Kong	
  and	
  Taiwan	
  
–  Each	
  comprises	
  only	
  0.1%	
  of	
  total	
  Facebook	
  page	
  followers	
  (5,530	
  and	
  7,033	
  respec2vely)	
  	
  
•  Aiming	
  to	
  expand	
  in	
  its	
  unexploited	
  Hong	
  Kong	
  and	
  Taiwan	
  markets	
  
Mission	
  
Create	
  a	
  self-­‐sustainable	
  social	
  campaign	
  that	
  grows	
  the	
  brand’s	
  user	
  base	
  
in	
  Hong	
  Kong	
  and	
  Taiwan	
  and	
  increases	
  usage	
  in	
  the	
  markets	
  
Target	
  audience	
  
•  Young	
  adult	
  
•  Travel	
  lovers	
  –	
  making	
  the	
  most	
  out	
  of	
  a	
  2ght	
  budget	
  
Channels	
  
74%	
  of	
  Taiwan	
  popula2on	
  on	
  LINE	
  	
  h]ps://www.techinasia.com/line-­‐releases-­‐regional-­‐breakdowns-­‐for-­‐its-­‐490m-­‐registered-­‐users/	
  
41%	
  of	
  users	
  aged	
  16-­‐24	
  	
  
h]p://expandedramblings.com/index.php/important-­‐instagram-­‐stats/	
  
71%	
  of	
  HK	
  mobile	
  internet	
  users	
  ac2ve	
  on	
  WhatsApp	
  h]p://www.sta2sta.com/sta2s2cs/291540/mobile-­‐internet-­‐user-­‐whatsapp/	
  
91%	
  of	
  HK	
  social	
  media	
  users	
  on	
  Facebook	
  
h]p://cw.com.hk/news/hk-­‐web-­‐users-­‐spend-­‐more-­‐2me-­‐facebook-­‐tv/	
  
Top	
  4	
  network	
  in	
  Hong	
  Kong	
  
h]p://www.go-­‐globe.hk/blog/social-­‐media-­‐hong-­‐kong/	
  	
  
Solu2on	
  
REFERRAL PROGRAMME
	
  
#memberGetMember	
  	
  
#2SidedIncen1ve	
  
#ViralLoop	
  
Why	
  referral	
  programme?	
  
•  Zero	
  adver2sing	
  budget	
  
•  2.8	
  million	
  direct	
  referrals	
  sent	
  in	
  one	
  month	
  
•  User	
  base	
  expanded	
  40x	
  in	
  15	
  months	
  (from	
  100K	
  to	
  4M)	
  
•  Similar	
  situa2on:	
  
–  Growing	
  a	
  user	
  base	
  from	
  barely	
  scratch	
  (in	
  HK	
  and	
  Taiwan)	
  
–  Keen	
  compe22on	
  (Adword	
  gets	
  expensive	
  –	
  tradi2onal	
  marke2ng	
  not	
  a	
  
good	
  resort)	
  
Ref:	
  h]p://www.slideshare.net/gueste94e4c/dropbox-­‐startup-­‐lessons-­‐learned-­‐3836587?ref=h]p://www.referralcandy.com/blog/referrals-­‐built-­‐dropbox-­‐empire/	
  
	
  	
  	
  	
  	
  	
  	
  	
  h]p://www.referralcandy.com/blog/referrals-­‐built-­‐dropbox-­‐empire/	
  	
  	
  
Principle	
  mechanic	
  
Principle	
  mechanic	
  
referral	
  code	
  
Principle	
  mechanic	
  
referral	
  code	
  
Principle	
  mechanic	
  
Incen2vise	
  usage	
  
referral	
  code	
  
Principle	
  mechanic	
  
Incen2vise	
  referral	
  
referral	
  code	
  
Principle	
  mechanic	
  
Incen2vise	
  referral	
  
code	
  use	
  
referral	
  code	
  
Principle	
  mechanic	
  
referral	
  code	
  
Principle	
  mechanic	
  
referral	
  code	
  
registra2on	
  
page	
  
social	
  share	
  
Viral	
  loop	
  
registra2on	
  
page	
  
social	
  share	
  
search	
  page	
  
Viral	
  loop	
  
Viral	
  loop	
  
registra2on	
  
page	
  
social	
  share	
  
account	
  	
  page	
   search	
  page	
  
Viral	
  loop	
  
registra2on	
  
page	
  
social	
  share	
  
account	
  	
  page	
   search	
  page	
  
Viral	
  loop	
  
registra2on	
  
page	
  
social	
  share	
  
account	
  	
  page	
   search	
  page	
  
influencers	
  
Branded	
  
social	
  content	
  
Touch	
  point	
  
NOT AVAILABLE IN EXCERPT
Touch	
  point	
  
NOT AVAILABLE IN EXCERPT
Touch	
  point	
  
NOT AVAILABLE IN EXCERPT
Rewards	
  
User	
  Type	
   Reward	
   Defini1on	
  
Non-­‐referred	
   HKD	
  400	
  /	
  NTD	
  1600	
   Any	
  new	
  signup	
  with	
  no	
  referral	
  code	
  
Referrer	
   HKD	
  100	
  /	
  NTD	
  400	
  
Any	
  exis2ng	
  user	
  whose	
  referral	
  code	
  
successfully	
  generates	
  a	
  new	
  signup	
  
Referee	
   HKD	
  500	
  /	
  NTD	
  2000	
   Any	
  new	
  signup	
  with	
  a	
  referral	
  code	
  
Campaign	
  period	
  
May	
  –	
  September	
  2016	
  
Phase	
  1	
  (acquisi1on)	
  
October	
  –	
  December	
  2016	
  
Phase	
  2	
  (credit	
  burning)	
  
Referral	
  code	
  valid	
   referral	
  code	
  no	
  longer	
  valid	
  
Credit	
  valid	
  for	
  redeeming	
  (no	
  expiry)	
  
Stakeholders	
  
Area	
   Descrip1on	
   Stakeholders	
  
Campaign	
  design	
   •  Campaign	
  design	
  
•  Channel	
  Strategy	
  
•  UX	
  flow	
  
•  Social	
  Media	
  Manager	
  
•  Product	
  manager	
  
Marke2ng	
  &	
  
adver2sing	
  
•  Social	
  strategy	
  
-  Content	
  strategy	
  
-  Influencer	
  engagement	
  
•  Social	
  Media	
  Manager	
  
•  Crea2ve	
  Director	
  
Technical	
  
implementa2on	
  
•  Programme’s	
  technical	
  infrastructure	
  (i.e.,	
  
implemen2ng	
  referral	
  code	
  &	
  account	
  bal.	
  features	
  in	
  
CRM	
  system)	
  
•  Social	
  plugin	
  implementa2on	
  in	
  website	
  and	
  mobile	
  app	
  
•  Product	
  Manager	
  
	
  
User	
  experience	
  &	
  
customer	
  care	
  
•  Foresee	
  possible	
  users’	
  enquiries	
  and	
  devise	
  solu2ons	
  
•  UX	
  feedback	
  relay	
  workflow	
  
•  Social	
  listening	
  
•  Social	
  Media	
  Manager	
  
•  Customer	
  Service	
  Manager	
  
Resources	
  
Item	
   Details	
   Cost	
  (USD)	
  
Influencer	
  engagement	
   •  Poten2al	
  influencers:	
  
-  xxxxxx	
  (17.5K	
  followers	
  on	
  Facebook)	
  
-  xxxxxx	
  (20.5K	
  followers	
  on	
  Facebook)	
  
Variable,	
  minimal	
  
Social	
  listening	
  tool	
   •  Poten2al	
  vendor:	
  XXXXXXXXXX	
  
(www.XXXXXXXXXX.com)	
  
12,500.00	
  
promoted	
  post	
   •  Facebook	
  geo-­‐targeted	
  suggested	
  post	
  
•  Instagram	
  referralted	
  post	
  
Variable,	
  minimal	
  
Incen2ve	
  to	
  acquired	
  users	
   Approx.	
  100/user	
  
Timeline	
  
Period	
   Ac1on	
  items	
   Time	
  
Pre-­‐produc2on	
   Line	
  up	
  influencers	
   Mid-­‐March	
  –	
  Mid-­‐April	
  
Plan	
  social	
  content	
  and	
  promoted	
  
posts	
  placement	
  
March	
  –	
  April	
  2016	
  
Technical	
  implementa2on	
  
•  referral	
  code	
  feature	
  
•  credit	
  system	
  feature	
  
December	
  2015	
  –	
  April	
  2016	
  (TBC)	
  
Customer	
  care	
  scripts	
   March	
  –	
  April	
  2016	
  
Social	
  listening	
  vendor	
  engagement	
   January	
  –	
  April	
  2016	
  
Produc2on	
   Phase	
  1	
  (acquisi2on)	
   May	
  –	
  September	
  2016	
  
Phase	
  2	
  (credit	
  burning)	
   October	
  –	
  December	
  2016	
  
Weekly	
  review	
   May	
  –	
  December	
  2016	
  
Post-­‐produc2on	
   •  Data	
  consolida2on	
  and	
  analysis	
  
•  Review	
  
Jan	
  2016	
  
Primary	
  Metrics	
  
Effec1ve	
  in	
  acquiring	
  users?	
   No.	
  of	
  new	
  users:	
  total	
  no.	
  of	
  new	
  users	
  during	
  Phase	
  1	
  vs.	
  	
  total	
  number	
  of	
  new	
  users	
  during	
  the	
  
same	
  period	
  previous	
  year	
  	
  
Referral	
  rate:	
  avg.	
  number	
  of	
  referral	
  per	
  user	
  
Cost	
  effec1veness:	
  customer	
  acquisi2on	
  cost	
  (CAC)	
  vs.	
  customer	
  life2me	
  value	
  (CLV)	
  
Cost	
  effec1veness:	
  CAC	
  of	
  the	
  campaign	
  vs.	
  average	
  CAC	
  of	
  other	
  ini2a2ves	
  
Effec1ve	
  in	
  boos1ng	
  usage?	
   Transac1on	
  made:	
  total	
  no.	
  of	
  transac2on	
  made	
  during	
  the	
  campaign	
  periods	
  vs.	
  total	
  no.	
  of	
  
transac2on	
  made	
  during	
  the	
  same	
  period	
  previous	
  year	
  
New	
  users’	
  ac1veness:	
  Time	
  taken	
  to	
  burn	
  70%	
  of	
  total	
  credits	
  given	
  away	
  	
  
Secondary	
  Metrics	
  
Effec1ve	
  in	
  acquiring	
  users	
  
for	
  which	
  product(s)?	
  
no.	
  of	
  transac2on	
  in	
  flight	
  vs.	
  no.	
  of	
  transac2on	
  in	
  hotel	
  vs.	
  no.	
  of	
  transac2on	
  in	
  car	
  hire	
  by	
  users	
  
acquired	
  	
  
Channels’	
  effec1veness	
   %	
  of	
  total	
  referral	
  code	
  	
  shared	
  in	
  each	
  channel	
  
conversion	
  	
  rate	
  in	
  each	
  channel	
  
Influencers’	
  effec1veness	
   no.	
  of	
  converted	
  user	
  (to	
  signup)	
  
Content’s	
  effec1veness	
   no.	
  of	
  converted	
  user	
  (to	
  signup)	
  
Q&A
Possible	
  Ques2ons	
  
Q1.	
  Any	
  poten2al	
  roadblock?	
  
A1.	
  Account	
  balance	
  feature.	
  Massive	
  integra2on	
  works	
  with	
  partners	
  website	
  may	
  
result,	
  more	
  technical	
  advice	
  required.	
  
Q2.	
  How	
  can	
  users’	
  authen2city	
  be	
  ensured?	
  
A2.	
  Introduce	
  a	
  phone	
  verifica2on	
  step	
  in	
  registra2on	
  process.	
  
thank you.
Frankie Chan
frankie.wailun@gmail.com

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Growth Strategy

  • 1. A Growth Strategy to an int’l Travel Meta Search Engine (excerpt) Nov 2015 Frankie Chan frankie.wailun@gmail.comc
  • 2. Content   •  Background   •  Idea   •  Execu2on   •  Success  metrics   •  Q&A  
  • 3. Background   •  ??  M  unique  users  each  month  globally     •  Growing  trac2on  in  Asia   –  20%  of  users  in  Asia  in  2014  vs.  6%  in  2012   •  Minimal  awareness  in  Hong  Kong  and  Taiwan   –  Each  comprises  only  0.1%  of  total  Facebook  page  followers  (5,530  and  7,033  respec2vely)     •  Aiming  to  expand  in  its  unexploited  Hong  Kong  and  Taiwan  markets  
  • 4. Mission   Create  a  self-­‐sustainable  social  campaign  that  grows  the  brand’s  user  base   in  Hong  Kong  and  Taiwan  and  increases  usage  in  the  markets  
  • 5. Target  audience   •  Young  adult   •  Travel  lovers  –  making  the  most  out  of  a  2ght  budget  
  • 6. Channels   74%  of  Taiwan  popula2on  on  LINE    h]ps://www.techinasia.com/line-­‐releases-­‐regional-­‐breakdowns-­‐for-­‐its-­‐490m-­‐registered-­‐users/   41%  of  users  aged  16-­‐24     h]p://expandedramblings.com/index.php/important-­‐instagram-­‐stats/   71%  of  HK  mobile  internet  users  ac2ve  on  WhatsApp  h]p://www.sta2sta.com/sta2s2cs/291540/mobile-­‐internet-­‐user-­‐whatsapp/   91%  of  HK  social  media  users  on  Facebook   h]p://cw.com.hk/news/hk-­‐web-­‐users-­‐spend-­‐more-­‐2me-­‐facebook-­‐tv/   Top  4  network  in  Hong  Kong   h]p://www.go-­‐globe.hk/blog/social-­‐media-­‐hong-­‐kong/    
  • 7. Solu2on   REFERRAL PROGRAMME   #memberGetMember     #2SidedIncen1ve   #ViralLoop  
  • 8. Why  referral  programme?   •  Zero  adver2sing  budget   •  2.8  million  direct  referrals  sent  in  one  month   •  User  base  expanded  40x  in  15  months  (from  100K  to  4M)   •  Similar  situa2on:   –  Growing  a  user  base  from  barely  scratch  (in  HK  and  Taiwan)   –  Keen  compe22on  (Adword  gets  expensive  –  tradi2onal  marke2ng  not  a   good  resort)   Ref:  h]p://www.slideshare.net/gueste94e4c/dropbox-­‐startup-­‐lessons-­‐learned-­‐3836587?ref=h]p://www.referralcandy.com/blog/referrals-­‐built-­‐dropbox-­‐empire/                  h]p://www.referralcandy.com/blog/referrals-­‐built-­‐dropbox-­‐empire/      
  • 12. Principle  mechanic   Incen2vise  usage   referral  code  
  • 13. Principle  mechanic   Incen2vise  referral   referral  code  
  • 14. Principle  mechanic   Incen2vise  referral   code  use   referral  code  
  • 17. registra2on   page   social  share   Viral  loop  
  • 18. registra2on   page   social  share   search  page   Viral  loop  
  • 19. Viral  loop   registra2on   page   social  share   account    page   search  page  
  • 20. Viral  loop   registra2on   page   social  share   account    page   search  page  
  • 21. Viral  loop   registra2on   page   social  share   account    page   search  page   influencers   Branded   social  content  
  • 22. Touch  point   NOT AVAILABLE IN EXCERPT
  • 23. Touch  point   NOT AVAILABLE IN EXCERPT
  • 24. Touch  point   NOT AVAILABLE IN EXCERPT
  • 25. Rewards   User  Type   Reward   Defini1on   Non-­‐referred   HKD  400  /  NTD  1600   Any  new  signup  with  no  referral  code   Referrer   HKD  100  /  NTD  400   Any  exis2ng  user  whose  referral  code   successfully  generates  a  new  signup   Referee   HKD  500  /  NTD  2000   Any  new  signup  with  a  referral  code  
  • 26. Campaign  period   May  –  September  2016   Phase  1  (acquisi1on)   October  –  December  2016   Phase  2  (credit  burning)   Referral  code  valid   referral  code  no  longer  valid   Credit  valid  for  redeeming  (no  expiry)  
  • 27. Stakeholders   Area   Descrip1on   Stakeholders   Campaign  design   •  Campaign  design   •  Channel  Strategy   •  UX  flow   •  Social  Media  Manager   •  Product  manager   Marke2ng  &   adver2sing   •  Social  strategy   -  Content  strategy   -  Influencer  engagement   •  Social  Media  Manager   •  Crea2ve  Director   Technical   implementa2on   •  Programme’s  technical  infrastructure  (i.e.,   implemen2ng  referral  code  &  account  bal.  features  in   CRM  system)   •  Social  plugin  implementa2on  in  website  and  mobile  app   •  Product  Manager     User  experience  &   customer  care   •  Foresee  possible  users’  enquiries  and  devise  solu2ons   •  UX  feedback  relay  workflow   •  Social  listening   •  Social  Media  Manager   •  Customer  Service  Manager  
  • 28. Resources   Item   Details   Cost  (USD)   Influencer  engagement   •  Poten2al  influencers:   -  xxxxxx  (17.5K  followers  on  Facebook)   -  xxxxxx  (20.5K  followers  on  Facebook)   Variable,  minimal   Social  listening  tool   •  Poten2al  vendor:  XXXXXXXXXX   (www.XXXXXXXXXX.com)   12,500.00   promoted  post   •  Facebook  geo-­‐targeted  suggested  post   •  Instagram  referralted  post   Variable,  minimal   Incen2ve  to  acquired  users   Approx.  100/user  
  • 29. Timeline   Period   Ac1on  items   Time   Pre-­‐produc2on   Line  up  influencers   Mid-­‐March  –  Mid-­‐April   Plan  social  content  and  promoted   posts  placement   March  –  April  2016   Technical  implementa2on   •  referral  code  feature   •  credit  system  feature   December  2015  –  April  2016  (TBC)   Customer  care  scripts   March  –  April  2016   Social  listening  vendor  engagement   January  –  April  2016   Produc2on   Phase  1  (acquisi2on)   May  –  September  2016   Phase  2  (credit  burning)   October  –  December  2016   Weekly  review   May  –  December  2016   Post-­‐produc2on   •  Data  consolida2on  and  analysis   •  Review   Jan  2016  
  • 30. Primary  Metrics   Effec1ve  in  acquiring  users?   No.  of  new  users:  total  no.  of  new  users  during  Phase  1  vs.    total  number  of  new  users  during  the   same  period  previous  year     Referral  rate:  avg.  number  of  referral  per  user   Cost  effec1veness:  customer  acquisi2on  cost  (CAC)  vs.  customer  life2me  value  (CLV)   Cost  effec1veness:  CAC  of  the  campaign  vs.  average  CAC  of  other  ini2a2ves   Effec1ve  in  boos1ng  usage?   Transac1on  made:  total  no.  of  transac2on  made  during  the  campaign  periods  vs.  total  no.  of   transac2on  made  during  the  same  period  previous  year   New  users’  ac1veness:  Time  taken  to  burn  70%  of  total  credits  given  away    
  • 31. Secondary  Metrics   Effec1ve  in  acquiring  users   for  which  product(s)?   no.  of  transac2on  in  flight  vs.  no.  of  transac2on  in  hotel  vs.  no.  of  transac2on  in  car  hire  by  users   acquired     Channels’  effec1veness   %  of  total  referral  code    shared  in  each  channel   conversion    rate  in  each  channel   Influencers’  effec1veness   no.  of  converted  user  (to  signup)   Content’s  effec1veness   no.  of  converted  user  (to  signup)  
  • 32. Q&A
  • 33. Possible  Ques2ons   Q1.  Any  poten2al  roadblock?   A1.  Account  balance  feature.  Massive  integra2on  works  with  partners  website  may   result,  more  technical  advice  required.   Q2.  How  can  users’  authen2city  be  ensured?   A2.  Introduce  a  phone  verifica2on  step  in  registra2on  process.