The	
  customized	
  approach	
  for	
  a	
  deeper	
  level	
  of	
  relevancy	
  and	
  personaliza?on	
  for	
  airline	
  
customers	
  proved	
  to	
  be	
  a	
  success:	
  	
  
•  Cost-­‐per-­‐sale:	
  Dynamic	
  decisioning	
  improved	
  cost-­‐per-­‐sale	
  by	
  67%	
  	
  
•  Conversion	
  rate	
  81%	
  higher:	
  Due	
  to	
  the	
  success	
  of	
  dynamic	
  decisioning	
  in	
  the	
  display	
  
network,	
  Performics	
  rolled	
  it	
  out	
  to	
  the	
  search	
  network.	
  On	
  test	
  routes,	
  the	
  search	
  
network	
  saw	
  81%	
  higher	
  conversion	
  rates.	
  	
  
Performance	
  
Performics	
  developed	
  75	
  audience	
  remarke?ng	
  lists	
  and	
  a	
  custom	
  API	
  script	
  which	
  
segmented	
  data	
  by	
  date,	
  pulling	
  real-­‐?me	
  lowest	
  pricing	
  into	
  a	
  single	
  template.	
  The	
  
customized	
  approach	
  allowed	
  for	
  bid	
  adjustment	
  by	
  search	
  recency,	
  using	
  more	
  than	
  
10	
  days	
  of	
  remarke?ng	
  history	
  to	
  bid.	
  
	
  
To	
  further	
  en?ce	
  customers,	
  Performics	
  created	
  an	
  individual	
  response	
  based	
  on	
  
combina?ons	
  of	
  geographic,	
  behavioral,	
  demographic,	
  pricing	
  and	
  intent	
  data	
  to	
  
500,000	
  poten?al	
  passengers	
  from	
  1.5M	
  site	
  search	
  queries.	
  	
  
	
  
Plan	
  
Performics	
  Creates	
  Custom	
  API	
  Enabling	
  	
  
Dynamic	
  Decisioning	
  for	
  Large	
  Airline	
  
Through	
  crea?ve	
  tes?ng	
  for	
  a	
  large	
  airline,	
  Performics	
  discovered	
  when	
  a	
  relevant	
  city	
  
is	
  in	
  the	
  crea?ve,	
  performance	
  improves	
  by	
  up	
  to	
  25%.	
  This	
  data-­‐driven	
  insight	
  posed	
  
new	
  opportunity	
  to	
  out-­‐perform	
  compe??on	
  and	
  increase	
  efficiency	
  and	
  response	
  
rate.	
  
	
  
Performics	
  took	
  the	
  tradi?onal	
  prac?ce	
  of	
  retarge?ng	
  and	
  sought	
  to	
  create	
  a	
  more	
  
personalized	
  message	
  through	
  the	
  Google	
  Display	
  Network	
  (GDN).	
  Responding	
  to	
  every	
  
unique	
  flight	
  search	
  query	
  with	
  a	
  personalized	
  loca?on	
  descrip?on	
  was	
  a	
  massive	
  
undertaking.	
  
Challenge	
  
1	
   2	
   3	
   4	
   5	
   6	
   7	
  
Airline	
  Cost-­‐Per-­‐Sale	
  Drops	
  67%	
  
Over	
  7	
  Months	
  
COST	
  PER	
  SALE	
  
MONTH	
  
“In	
  the	
  
par3cipa3on	
  
age,	
  people	
  
expect	
  to	
  
access	
  
informa3on	
  
about	
  
something	
  
relevant	
  to	
  
them	
  –	
  at	
  
the	
  very	
  
moment	
  it’s	
  
relevant.”	
  

Performics Creates Custom API Enabling Dynamic Decisioning for Large Airline

  • 1.
    The  customized  approach  for  a  deeper  level  of  relevancy  and  personaliza?on  for  airline   customers  proved  to  be  a  success:     •  Cost-­‐per-­‐sale:  Dynamic  decisioning  improved  cost-­‐per-­‐sale  by  67%     •  Conversion  rate  81%  higher:  Due  to  the  success  of  dynamic  decisioning  in  the  display   network,  Performics  rolled  it  out  to  the  search  network.  On  test  routes,  the  search   network  saw  81%  higher  conversion  rates.     Performance   Performics  developed  75  audience  remarke?ng  lists  and  a  custom  API  script  which   segmented  data  by  date,  pulling  real-­‐?me  lowest  pricing  into  a  single  template.  The   customized  approach  allowed  for  bid  adjustment  by  search  recency,  using  more  than   10  days  of  remarke?ng  history  to  bid.     To  further  en?ce  customers,  Performics  created  an  individual  response  based  on   combina?ons  of  geographic,  behavioral,  demographic,  pricing  and  intent  data  to   500,000  poten?al  passengers  from  1.5M  site  search  queries.       Plan   Performics  Creates  Custom  API  Enabling     Dynamic  Decisioning  for  Large  Airline   Through  crea?ve  tes?ng  for  a  large  airline,  Performics  discovered  when  a  relevant  city   is  in  the  crea?ve,  performance  improves  by  up  to  25%.  This  data-­‐driven  insight  posed   new  opportunity  to  out-­‐perform  compe??on  and  increase  efficiency  and  response   rate.     Performics  took  the  tradi?onal  prac?ce  of  retarge?ng  and  sought  to  create  a  more   personalized  message  through  the  Google  Display  Network  (GDN).  Responding  to  every   unique  flight  search  query  with  a  personalized  loca?on  descrip?on  was  a  massive   undertaking.   Challenge   1   2   3   4   5   6   7   Airline  Cost-­‐Per-­‐Sale  Drops  67%   Over  7  Months   COST  PER  SALE   MONTH   “In  the   par3cipa3on   age,  people   expect  to   access   informa3on   about   something   relevant  to   them  –  at   the  very   moment  it’s   relevant.”