Real Time Personalization & Social Commerce by Stefan Laengin
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Real Time Personalization & Social Commerce by Stefan Laengin

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Stefan Längin presents real-time personalization and social commerce at CeBIT Hannover 2013.

Stefan Längin presents real-time personalization and social commerce at CeBIT Hannover 2013.

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Real Time Personalization & Social Commerce by Stefan Laengin Presentation Transcript

  • 1. CEBIT, 05.03.2013 Stefan Laengin, VP Europe
  • 2. Real TimePersonalization& Social CommerceDATA DRIVEN1to1 MARKETING
  • 3. WHY PERSONALIZATION MATTERS?
  • 4. Personalized OfferWHY PERSONALIZATION MATTERS?
  • 5. Personalized OfferWHY PERSONALIZATION MATTERS?Customized Message
  • 6. Personalized OfferWHY PERSONALIZATION MATTERS?Customized MessageMore Relevance
  • 7. Personalized OfferWHY PERSONALIZATION MATTERS?Customized MessageMore RelevanceMore Revenue!
  • 8. It is just finding the best combination...
  • 9. ...with permanent testing and optimization...
  • 10. ...in real time and fully automated!
  • 11. BEHIND THE SCENES
  • 12. Time on SiteKeyword SearchesCustomer ReviewsLocation IDProduct attributesMerchant-driven rulesClicks, Sales, MarginBuying historyCRM dataINPUT ALGORITHMCollaborative filteringChoice modelingData miningetc.OUTPUTPersonalizedProductsOffersDesignsInformationUsabilityFunctionsRecommendations
  • 13. CHALLENGESVarious Data WarehousesInferior Quality of Data„Take a Ticket“ - IT is busyNo PermissionTesting = Huge ProjektBig Data
  • 14. Time on SiteKeyword SearchesCustomer ReviewsLocation IDProduct attributesMerchant-driven rulesClicks, Sales, MarginBuying historyCRM dataINPUT ALGORITHM OUTPUTCollaborative filteringChoice modelingData miningetc.PersonalizedProductsOffersDesignsInformationUsabilityFunctionsRecommendationsFriends activity, Friends opions,Friends reviews, Friends likesInterests & Likes, More Demografic Data,Activities, Friends/Network
  • 15. Time on SiteKeyword SearchesCustomer ReviewsLocation IDProduct attributesMerchant-driven rulesClicks, Sales, MarginBuying historyCRM dataINPUT ALGORITHM OUTPUTCollaborative filteringChoice modelingData miningetc.PersonalizedProductsOffersDesignsInformationUsabilityFunctionsRecommendationsFriends activity, Friends opions,Friends reviews, Friends likesInterests & Likes, More Demografic Data,Activities, Friends/Networkmanageable withthe right system-> Convert+Big Data!
  • 16. DisplaySearchAffiliateFacebookVideoSmartphoneLaptopTabletPlay ConsoleConnected TVWorkHomeCityLandscapeTravelBusinessAgeGenderInterestsSinus MillieusMARKETING DEVICES LOCATION TARGET GROUPDelivers personlizedWebsites & AppsPROFILE PARAMETERSTailored content &optimized productfeed with multivariatetesting of design &message for eachcombinationAdtelligence`s Personalization Engine
  • 17. PERSONALIZED SHOPPINGon Facebook Connect profile dataWith the Facebook LogIn, users have personalizedrecommendations according to their profiles.1 Visit homepage2 Press Facebook Connect
  • 18. PERSONALIZED SHOPPINGon Facebook Connect profile dataGive permission for gender,age, city & interests data34Page with personlizedoffers according toyour profile
  • 19. PERSONALIZED SHOPPINGwith right combination of target group, Facebook ads, product range & product sequence
  • 20. MULTIPLE VERSIONS OF DESIGN, PRODUCT RANGE AND SEQENCES
  • 21. MORE ORDERS WITH PERSONALIZATION3xbetterPersonalizedNON - Personalized
  • 22. Personalizationleads you tothe next level.Meet us at our stand! Hall 6, K40/1Stefan LaenginVP Europe, Adtelligence