eCommerce Optimization for TUI Poland


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Goals: Increasing online sales, Increasing revenue from each user, Creating new traffic sources, conversion optmizaton on the Website.

Results: Increase of Conversion 150%, Increase of CTR from 3,21% to 5,24%

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eCommerce Optimization for TUI Poland

  1. 1. Case StudyeCommercefor TUI Poland
  2. 2. TUI Poland•  TUI  Poland  is  part  of  the  world’s  biggest   tourist  concern  -­‐  TUI  Travel  PLC  –   quoted  on  the  London  Stock  Echange.  •  TUI  Poland  owns  63  representaEve   offices.  •  A  complex  presentaEon  of  the  offer  is   available  on  the  Website,  which  also   allows  for  online  reservaEons.  The   clients  are  also  welcome  to  use  the  call   centre.    •  TUI’s  offer  includes:  charter  vacaEon,   hotel  reservaEons,  flights,  car  rentals   and  much  more.    
  3. 3. Goals•  Increasing  online  sales   Increasing  revenue  from  each  single  sum  of  money  spent  on  markeEng.     Introducing  new  traffic  sources.    •  Increasing  the  effec0veness  of  the  online  channel   More  visible  clients’  engagement,  higher  conversion  rates.     Introducing  new  services  and  products  available  online.    Strategy•  Introducing  new  traffic  sources  and  op0miza0on  of  the  current   ones.    •  Conversion  op0miza0on  on  the  Website.      
  4. 4. Conversion OptimizationTesting and Redesign ofthe Website
  5. 5. GoalsThe   aim   of   our   work   at   this   stage   was   to   rebuild   TUI’s   WebsEe   based   on   the   results   of   our   usability   tests.  We  designed  and  run  a  series  of  tests  which  helped  us  achieve  this  goal.      MethodsIn  order  to  get  the  Eps  necessary  to  design  a  new  page  layout,  we  carefully  chose  the  accurate  tools  for  usability  tests.     2a. Statistical analysis 3. 2b. Expert audit Conclusions 4. Interactive 1. Demands 5. Graphic and wireframes analysis design 2c. Eyetracking tests recommendati and mockups ons Expert consultations
  6. 6. 1. Demands Analysis•  First,  we  learned  about  the  business  demands  and  technical  limitaEons.    •  Then  we  met  with  people  responsible  for  the  product,  communicaEon   and  preparing  the  offers,  customer  service,  technology  and   development.    •  Moreover,  we  did  a  thorough  recogniEon  of  the  branch,  we  read   arEcles,  reports  and  met  with  independent  experts  on  the  tourist   business.    •  Armed  with  this  knowledge,  we  could  go  to  the  next  step  –  the  analysis   of  the  Website.    
  7. 7. 2a. Statistical Analysis•  Traffic  analysis  based  on  staEsEcs  provided  by  Google  AnalyEcs  let  us   detect  usability  and  communicaEon  problems  at  a  large  scale  –  thanks   to  the  staEsEcs,  we  had  hard  data  regarding  parEcular  elements  and   subpages.    •  What  is  more,  we  were  able  to  recognize  the  elements  which  were  OK   and  did  not  need  considerable  modificaEons.  To  get  the  full  picture,  we   just  needed  a  couple  of  addiEonal  tests,  which  are  described  next.   Some of the landing pages, especially special offers, have too high bounce rate. The Website does not use the pottential of the opinions – the users use them relatively rarely. […] The users get to this Website by chance, not planing to enter the transactional process, and back off quickly.
  8. 8. 2b. Expert Audit•  The  analysis,  run  by  a  couple  of  independent  experts,  allowed  for  the   esEmaEon  of  the  Website  regarding  usability.    •  Apart  from  detecEng  errors  and  problems  connected  with  usability,  we   enriched  the  analysis  with  complex  recommendaEons  based  mainly  on   the  tourist  field.  We  also  got  the  chance  to  learn  about  compeEEon  and   benchmarks  worldwide.    
  9. 9. 2c. Eyetracking Tests•  The  golad  of  eyetracking  test  was  to  detect  usability  problems.    •  Thanks  to  the  equipment  monitoring  points  of  the  biggest  interest   (sight  fixaEon)  on  the  Website,  we  could  observe  what  draws   aZenEon  and  what  remains  unnoEced.  The  test  was  qualitaEve.  The   eyetracker  was  rented  from   The frequency used to gather data reached 120 Hz, which, combined with the possibility to move one’s head freely, allowed us to get valuable data, resembling closely natural settings.
  10. 10. 2c. Eyetracking Tests An example of the first minute spent by the user on the home page while performing a task to find a given holiday. An example of eyetracking path. The dots mark the points of fixations (the bigger the dots, the longer the fixation lasted). The links between the dots represent saccadic movements.
  11. 11. 2d. Expert Consultations•  Apart  from  tests,  analysis  and  reading  a  number  of  reports   and  arEcles,  we  followed  the  advice  of  our  befriended  experts   from  the  tourist  business.  •  They  helped  us  understand  this  business  and  we  o[en  used   their  support  when  making  project  decisions.  
  12. 12. 3. Conclusions andRecommendations. Why somany tests?•  Conclusions  and  recommendaEons  allowed  us  to  come  up   with  a  new  concepEon.  •  Each  tool  was  supposed  to  recognize  a  different  fragment  of   the  whole.    •  Conclusions  drawn  from  eyetracking  tests  confirmed  earlier   staEsEcs  and  recommendaEons  from  expert  analysis  were  a   source  of  ideas  for  the  designers.    
  13. 13. 4. Interactive WireframesHaving  gathered  conclusions  and  recommendaEons,  we  started  designing,  which  effected  in  interacEve  wireframes.    We  prepared  over  20  prototypes  and  designed  over  30  different  looks  represenEng  key  subpages.  .   Home page Search results Subpage of an offer
  14. 14. 5. Graphic DesignOnce  the  interacEve  wireframes  were  done,  we  got  down  to  create  graphic  design.  We  wanted  it  to  be  fresh  and  modern,  with  a  clear  interface.     Home page Search results Subpage of an offer
  15. 15. The main changes:The search engine is crucialAccording  to  the  tests,  the  search  engine  was  the  crucial  element  of  the  Website.  It  is  responsible  for  guiding  the  majority  of  the  users  to  the  proper  offer.  In  its  previous  form,  the  search  engine  was  somewhat  problemaEc,  especially  regarding  non-­‐intuiEve  opEons  and  the  very  way  it  worked.  What  was  more,  the  search  engine  was  not  visible  enough.    
  16. 16. The main changes:The search engine is crucialWe  proposed  some  changes.  The  search  engine  is  wider  and  takes  exactly  half  of  the  page’s  width.  In  the  second  part,  there  is  a  dynamically  scrolled  banner  presenEng  the  newest  offers.  It  also  serves  as  a  visual  refreshment.  We  improved  the  search  fields  based  on  earlier  analysis  to  make  them  more  intuiEve  and  effecEve.    
  17. 17. The main changes:Can I place an order here?The  former  version  of  the  Website  did  not  suggest  that  it  was  possible  to  buy  a  holiday  on  it.  In  response  to  that,  we  prepared  simple  and  clear  copywriEng  texts  suggesEng  reservaEons  and  added  an  aZracEve  informaEon  secEon  to  the  home  page.    
  18. 18. The main changes:How to put all this information on thehome page? The  former  version  of  the  Website  presented  only  w  few  offers.  We  decided  to  change   it,  designing  a  large  element  in  the  form  of  bookmarks,  which  enabled  us  to  put  over   100  offers  in  one  place.    
  19. 19. The main changes:Megadropdown menu type is cool,but is it always?A[er  our  observaEon  of  the  users  and  many  discussion  within  our  team,  we  decided  to  remove  the  megadropdown  menu.  Thanks  to  this  simplificaEon,  the  users  can  move  around  the  Website  much  more  freely.    
  20. 20. The main changes:The users like to compare offers- lets makeit easier for them.The  nature  of  the  business,  with  its  numerous  parameters  and  standards  of  their  marking,  causes  the  offers  to  be  very  difficult  to  compare,  while  the  users  o[en  compare  in  order  to  pick  the  best  offer.  The  parEcular  opEons  are  o[en  an  individual  maZer  and  the  users  are  o[en  wiling  to  pay  more  for  some  faciliEes.  To  make  it  easier  for  the  users  to  compare  offers,  we  designed  a  new  layout  of  the  offers’  list.  Dynamic  filters,  readable  results  and  new  icons  of  facilites  increased  the  effecEvenss  of  searching  and  comparing  the  offers.    
  21. 21. The main changes:A transformed process of orderingThanks  to  the  wholly  new  process  of  booking,  the  users  can  indicate  the  opEons  they  are  interested  in  and  see  how  the  price  changes  respecEvely.  Moreover,  right  a[er  entering  the  offer’s  subpage,  the  total  price  is  visible,  which  makes  the  ordering  process  run  much  more  smoothly.    
  22. 22. The main changes:Reservation in 3 simple steps Three  steps  of  reservaEon,  already  present  on  the  previous  version  of   te  Website,  turned  out  to  be  truly  easy  to  go  through.  So  we  decided  to   make  only  a  couple  of  changes  to  improve  the  visual  side  and  usability.    
  23. 23. The main changes:Implementing social opinions • ImplemenEng  the  possibility  to  add  and  share  opinions,  based  on   Facebook  mechanisms   • Lowering  entry  barriers  –  making  the  process  of  adding  an  opinion   much  more  easier   • Drawing  new  users  (each  opinion  published  on  a  user’s  wall)  
  24. 24. Results •  Increasing  users’  engagement   (accompanied  by  the  increasing  number   of  page  visits)   •  Increse  of  an  average  number  of  pages  per   visit  from  6,78  to  10,43   •  Increase  of  an  average  Eme  spent  on  the   Website  from  4:12  to  4:56   •  Decrease  of  bounce  rate  from  27,55%  to   22,54%   •  The  bounce  rate  for  the  subpages  of  the   offers  decreased  from  9,45%  to  6,4%     •  The  bounce  rate  of  search  results  decreased   from  11,59%  to  4,19%   •  Conversion  (accompanied  by  the   increasing  number  of  page  visits)   •  Conversion  rate  increased  by  150%  This  part  was  prepared  by  Tomek  Tomalik,      Ideacto  interacEve  agency  (part  of  the  Divante  Group)    
  25. 25. MarketingOptimization of TrafficSources
  26. 26. We start from the audit of the currentstate•  Sales  are  generated  only  by  the  branding  campaigns.  •  70%  of  the  page  visits  coming  from  CPC  are  single  visits.                  •  Meanwhile,  as  much  as  16%  paid  reservaEons  needed  at  least  12  contacts!    
  27. 27. Organization of the Campaign•  RecommendaEons  are  quality-­‐oriented     (Quality  Score).    Quality  Score:   •  Influences  the  actual  CPC  of  the  keywords.   •  Serves  esEmaEng  rates  for  the  first-­‐page  result.   •  Determines  whether  a  keyword  is  right.   •  Influences  the  ad’s  posiEon  in  the  ranking.  •  Working  on  the  Quality  Score  lowers  the  costs  of  AdWords  and   simultaneously  retains  or  increases  traffic.         Example:  Egypt  –  creang  separate  ad  groups  with  separate  keywords  (holiday,  vacaon),  separate  for  „last   minute”  for  the  hotel-­‐connected  keywords.  Such  a  division  allows  one  to  create  beBer  ad  texts  and  more   diversified  landing  pages.    
  28. 28. Keywords Example:    •  Matches  –  in  an  ad  group,  o[en  one  word  is     used  in  3  matches.   Phrases  that  generated  clicks  (wrong   matches):   –  We  suggested  preparing  keywords  –  from  the  more   •  Spanish  jobs   general  to  detailed  –  and  giving  them  different  types  of   •  Czech  coal   maches  (broad  match,  phrase  match,  exact  match).   •  Czech  Republic  prices  of  mobile   Simultaneously,  the  list  of  mutually  exclusive  keywords   phones   should  be  constantly  updated,  especially  in  the  groups   •  Leopold  Staff  descripon  of  a   where  there  are  keywords  in  the  broad  match.     journey  to  Italy   •  Madera  doors  •  Mutually  exclusive  keywords   •  Mexico  weather   •  Wooden  houses   –  Currently,  the  campaign  and  ad  groups  have  very  liZle   •  Beijing  warehouses   mutually  exclusive  keywords  defined.  In  the  case  of   •  Kubus  games   general  keywords  and  broad  match  (e.g.  Chech   •  Beijing  coordinates   •  United  Arab  Emirates  electrician   Republic,  China,  Bali),  tha  ads  are  displayed  and   jobs   generate  clicks  in  response  to  searched  phrases  totally   unconnected  to  the  offer.    
  29. 29. Examples of Recommendations•  Developing  the  list  of  mutually  exclusive  keywords  •  ModificaEon  of  the  types  of  matches  for  the  current  keywords  •  LP  modificaEons  –  e.g.  by  using  filters  to  understand  beZer  what  a  user  was   looking  for  while  typing  a  given  phrase  (beZer  LP  match  to  the  searched   phrase)    •  RetargeEng  –  as  a  method  to  use  CPC  to  sale  •  TesEng  more  aZracEve  ad  texts:   –  If  an  add  includes  %  ,  CTR  is  over  3x  beZer  –  9,72%  vs.  2,92%     –  Words  such  as  special  offer,  see,  check  do  not  work.   Words  „last,  cheap,  cheaper,  discount,  all  inclusive”  do  work.    
  30. 30. Constant Campaign Optimization•  Each  channel  that  leads  a  user  to  the  Website  has  to  be  analyzed  with   respect  to  its  role  in  conversion  rate  at  every  stage.    •  The  procedure  in  each  ad  group  with  the  phrase  match  should  go  as  follows:   –  Adding  a  new  keyword.   –  A[er  a  given  Eme  –  analysis  of  the  ad’s  results  for  the  keywords.  While  analyzing,  a  list  of   the  phrases  typed  by  the  users,  which  provoked  clicking  on  a  given  ad,  should  always  be   checked.  In  the  case  of  keywords  with  the  phrase  match,  o[en  one  word  in  the  campaign  is   linked  to  several  or  even  several  dozen  different  searched  phrases.      
  31. 31. SummaryResults
  32. 32. Results•  MarkeEng  (sales  campaign)   –  Increase  of  CTR  of  the  ads  from  3,21%  to  5,24%     –  Lowering  an  average  CPC  from  0,73  to  0,61   –  Considerable  growth  in  the  number  of  page  visits  •  Increase  of  user  engagement  (accompanied  by  the  increase  of  page   visits)   –  Increse  of  an  average  number  of  pages  per  visit  from  6,78  to  10,43   –  Increase  of  an  average  Eme  spent  on  the  Website  from  4:12  to  4:56   –  Decrease  of  the  bounce  rate  from  27,55%  to  22,54%  •  Conversion  (accompanied  by  the  increase  of  page  visits)   –  Conversion  rate  grew  by  150%.  
  33. 33. What’s next?New products
  34. 34. Airplane Tickets - Tests•  New  service  –  Ecket  sales  •  Mapping  the  disEnguishing  features  –  what  are  the  users’  needs  as  far   as  airplane  Eckets  purchase  is  concerned?  –  how  can  we  help  them?    •  Market  survey  from  IMAS  InternaEonal   –  The  survey  was  conducted  among  a  group  of  306  users  who  have  bought  an   airplane  Ecket  during  the  previous  12  months.    
  35. 35. Airplane Tickets- THE  USE  OF  WEBSITES   OFFERING  AIRPLANE  Tests TICKETS   0%   20%   40%   60%   80%   100%  •  From  20  to  30%  users   who  declare  that  they  (n=161)   21   46   33   are  familiar  with  (n=180)   32   37   31   Websites  selling  Eckets  (n=88)   31   39   31   admit  that  they  have   purchased  Eckets  there.­‐lotnicze  (n=105)   27   44   30  •  The  highest  awareness-­‐ tanie-­‐  (n=192)   35   38   27   to-­‐purchase  conversion  (n=86)   31   42   27   is  noted  by,  and  (n=71)   37   39   24   the  lowest  by   (  was  not  taken  (n=79)   37   41   23   into  account).  (n=51)   53   25   22  (n=96)   31   49   20  (n=10)   50   50   0   znam  go  tylko  z  nazwy   I  know  it  only  by  name.   p3,  różne  podstawy   znam,  ale  nie  korzystałem(am)  z  niego   I  know  it,  but  I  haven’t  used  it.   znam  i  skorzystałem(am)  z  niego  (kupiłem(am)  bilet)   I  know  it  and  I  used  it  –  I  bought  a  Ecket  there.   QuesEon  3.    How  well  do  you  know  these  Website’s  offers?  Can  you  say  that…   Base:  respondents  who  indicated  an  exact  Website  in  QuesEon  2   35  
  36. 36. Aiplane Tickets - KEY  FACTORS  WHILE   PURCHASING  AIRPLANE  Tests TICKETS  ONLINE  •  The  key  element  while   Final  price   73%   making  the  decision  to  buy   końcowa  cena   63%   a  given  Ecket  is  its  final   78%   price  (as  indicated  by  73%   Availability   dostępność  połączenia  do  miejsca   57%   45%   respondents).  What  is   docelowego   62%   interesEng,  the  users   Credibility   34%   buying  from  airlines     wiarygodność  serwisu   37%   33%   indicated  this  element   more  o[en  than  those   32%   Detailed  descripEon  of  what  the  płat   szczegółowy  opis  o 35%   buying  Eckets  on  Websites   payments   32%   (respecEvely  78  and  63%).     28%   bezpieczeństwo  transakcji   Safe  transacEon   34%   25%  •  Similarly  in  the  case  of   availability,  which  is  second   13%   DescripEon  of    an  offer   opis  oferty   24%   most  important  deciding     8%   element.     1%   Other   inne   0%   2%   p11,  różne  podstawy   Ogółem  306)   Total  ((n=306)   Portale  internetowe  (n=99)   Websites  (99)   Strona  przewoźnika  (n=199)   Website  of  a  carrie  (199)           QuesEon  11.  Which  elements  were  the  key  ones  while  picking  the  offer?     Base:  respondents  who  have  bough  a  Ecket  on  a  given  Website  
  37. 37. Airplane Tickets - KEYWORDS  USED  IN  THE   SEARCH  ENGINE  –  SHOPPING   Tests nazwa CART  ANALYSIS   misto przewoźni miasto kraj bilety lotnicze docelowe tanie ka loty wylotu bilet lot do linie lotniczy online docelowy przelotybilety 81,9% 23,6% 16,7% 1,4% 2,8% 8,3% 0,0% 1,4% 1,4% 1,4% 0,0% 8,3% 0,0% 1,4%lotnicze 83,1% 22,5% 22,5% 1,4% 1,4% 7,0% 0,0% 0,0% 1,4% 15,5% 0,0% 5,6% 0,0% 1,4%miasto docelowe 27,0% 25,4% 19,0% 3,2% 22,2% 31,7% 14,3% 17,5% 15,9% 3,2% 6,3% 1,6% 1,6% 0,0%tanie 26,1% 34,8% 26,1% 0,0% 45,7% 6,5% 0,0% 2,2% 6,5% 19,6% 0,0% 0,0% 6,5% 8,7%nazwa przewoźnika 3,1% 3,1% 6,3% 0,0% 0,0% 3,1% 3,1% 0,0% 0,0% 0,0% 3,1% 0,0% 0,0% 0,0%loty 6,9% 3,4% 48,3% 72,4% 0,0% 10,3% 0,0% 3,4% 13,8% 0,0% 0,0% 0,0% 10,3% 3,4%miasto wylotu 30,0% 25,0% 100,0% 15,0% 5,0% 15,0% 10,0% 20,0% 5,0% 5,0% 5,0% 5,0% 0,0% 0,0%bilet 0,0% 0,0% 52,9% 0,0% 5,9% 0,0% 11,8% 0,0% 11,8% 0,0% 52,9% 0,0% 5,9% 0,0%lot 6,7% 0,0% 73,3% 6,7% 0,0% 6,7% 26,7% 0,0% 33,3% 0,0% 0,0% 0,0% 13,3% 0,0%do 8,3% 8,3% 83,3% 25,0% 0,0% 33,3% 8,3% 16,7% 41,7% 0,0% 8,3% 0,0% 16,7% 8,3%linie 9,1% 100,0% 18,2% 81,8% 0,0% 0,0% 9,1% 0,0% 0,0% 0,0% 0,0% 0,0% 0,0% 0,0%lotniczy 0,0% 0,0% 44,4% 0,0% 11,1% 0,0% 11,1% 100,0% 0,0% 11,1% 0,0% 0,0% 11,1% 0,0%online 100,0% 66,7% 16,7% 0,0% 0,0% 0,0% 16,7% 0,0% 0,0% 0,0% 0,0% 0,0% 0,0% 0,0%kraj docelowy 0,0% 0,0% 20,0% 60,0% 0,0% 60,0% 0,0% 20,0% 40,0% 40,0% 0,0% 20,0% 0,0% 20,0%przeloty 20,0% 20,0% 0,0% 80,0% 0,0% 20,0% 0,0% 0,0% 0,0% 20,0% 0,0% 0,0% 0,0% 20,0% 100,0% •  Above,  there  is  a  presentaEon  of  shopping  cart  analysis  showing  the  coesxistence  of   keywords.  The  numbers  rerpezent  the  percentages  of  phrases  typed  in  the  search  engine  in   which  the  same  keywords  appeared.     •  The  data  should  be  read  in  lines,  e.g.  together  with  the  word  bilety  (Eckets),  in  82%  of  the   phrases,  the  word  lotnicze  (airplane)  appeared,  in  24%  miasto  docelowe  (desEnaEon  city)  and   in  17%,  there  addiEonally  appeared  the  word  tanie  (cheap).   •  The  dark-­‐green  fields  mark  the  most  dense  coexistence  of  the  words.   QuesEon  14.  What  words  have  you  typed  in  the  search  engine  while  making  this  last  purchase?     Base:  respondents  who  get  to  the  Website  led  by  the  search  results  
  38. 38. Examples of Conclusions Drawnfrom the Tests•  While  looking  for  an  offer,  respondents  spend  on  average  from  1   to  3  hours  on  the  Internet,  browsing  from  2  to  10  offers.    •  Having  found  an  interesEng  offer,  the  majority  of  the  respondents   evaluate  the  Website  (if  they  do  not  know  it  yet).  Most  o[en,  they   look  for  opinions  on  the  Internet,  call  the  call  center  or  send  an  e-­‐ mail.    •  The  most  common  payment  form  is  bank  transfer.  It  is  also  the   most  preferred  form  of  payment.    •  The  respondents  admit  that  they  o[en  come  back  to  the  Websites   they  have  already  made  purchase  on.  The  key  factors  making   them  come  back  are  (again!)  the  price  and  the  availabilty  of  the   given  trip.  Also  the  credibility  of  the  Websites,  earned  earlier,   maZers.    
  39. 39. Examples of Conlclusions Drawnfrom the Tests•  2/3  of  the  respondents  are  familiar  with  online  airplane  Ecket  sales.      •  The  most  popular  –  spontaneously,  as  well  as  when  given  hints  –  online  agencies  selling   airplane  Eckets  are  TUI,  Orbis  (!),  Itaka  and  Triada.  •  One  in  four  respondents  has  already  bought  an  airplane  Ecket  via  a  travel  agency.    •  Compared  to  the  offer  of  the  very  airlines,  as  well  as  the  Websites  dealing  parEculraly  with   airplane  Eckets  sales,  the  offer  of  travel  agencies  is  viewed  as  worse.    •  The  majority  of  the  respondents  claims  that,  compared  to  both  types  of  the  compeEEon   menEoned  above,  the  price  offer  is  worse.    •  If  the  respondents  were  to  chose  where  to  buy  idenEcal  offer  –  on  the  Website  of  a  travel   agency  or  one  of  an  airline  or  a  Website  selling  airplane  Eckets  exclusively  –  they  would  pick   an  agency  rarely.  At  the  same  Eme,  the  respondents’  needs  are  similar  –  they  pick  the  offer   that  seems  safe,  comfortble  and  cheap.    •  Finally  –  the  great  majority  of  the  respondents  think  that  travel  agencies  should  sell  airplane   Eckets  online.    
  40. 40. Designing Based on TestsFollowed by Implementation
  41. 41. Additional InformationInformation aboutDivante
  42. 42. The Quality of Service•  Sa0sfac0on  from  the  coopera0on  with  our  agency:  4.6  /  5     -­‐  2nd  place  in  Poland  The  survey  carried  out  on  all  Divante  clients  by   Media&MarkeEng  Poland  in  2011.  •  Sa0sfac0on  from  our  customer  service:  4.9  /  5     –  3rd  place  in  Poland  The  survey  carried  out  on  all  Divante  clients  by   Media&MarkeEng  Poland  in  2011.  •  100%  of  our  clients  would  recommend  us  to  their  friends.   The  survey  carried  out  on  all  Divante  clients  by  Divante  Company  in  2010.  •  Almost  60%  new  ques0ons  which  we  receive  comes  from  the  references  from   our  previous  customers.      •  10  /10  points  in  „punctuality  and  reliability”  category.  The   survey  carried  out  on  all  Divante  clients  by  an  independent  unit  in  2009.  
  43. 43. The Quality of Work New  ideas  helping  to  improve  the  funconing  of  a  company.   -­‐  Puls  Biznesu  magazine,  2009     Such  examples  show  that  our  economy  is  really  innovave  and  has  a  huge  potenal  of   the  human  capital.   -­‐  SebasEan  Christow,  Ministry  of  Economy  of  the  Republic  of  Poland       Divante  is  able  to  connect  product  innovaons  with  the  care  for  the  best  quality  of  its   customer  service.  Thanks  to  that,  Divante  carries  out  projects  for  clients  in  Poland  and   all  over  the  world.   -­‐  Michał  Żyliński,  Microso[   A  great  communicaon  and  openness  to  new  soluons,  these  are  certainly  the  strong   sides  of  the  team.     -­‐  Izabela  Dauksza,  Coordinator  of  Project  Managers,  
  44. 44. Technology•  Scalability  –  PromoRing  enables  ca.  5  mln  PV  per  day,  serving  3  mln  UU  per   month  •  Flexibility  -­‐  .NET,  Django,  PHP  •  We  are  a  partner  of  Apple  and  the  Microso[  Company  •  We  are  integrated  with  many  outside  systems  (improvement  systems,   warehouse  systems,  ERP,  CRM)  
  45. 45. Thank you for your attentionContact  phone:    +48  71  34  22  406