SlideShare ist ein Scribd-Unternehmen logo
1 von 47
Data Driven Advertising in the Social Web Lecture / FH FurtwangenMichael Altendorf11.5.2011
AGENDA  	PART 1: THE NEW MARKET 	PART 2: SOCIAL DATA 	PART 3: OPPORTUNITIES
PART 1: THE NEW MARKET
Even in the beginning  the web was about people ,[object Object]
Mobile Data/internet flatrate will change life of many people around the world
The personalized web comes close to the first vision of the internet
Communication is everywhere, even your new TV will have Skype Source: Computer History Museum
The Social Web market is already No 1 The Social Web may still be in its early phases,  but it is likely to transform  the fundamental businesses  of the Internet  far more rapidly than the incumbents anticipate. » » (Accel Ventures – The rise of the social web, 2009)
Facebook‘s revenues increase fast "Its early days are unproven fully, but Facebook believes that's the holy grail," observed analysis Kawaja.
And Facebook‘s valuation increases even faster (max ~95B)  Source: Techcrunch.com
Plattform vs. One Trick Pony Very hard to generate first network effects  Difficult monetization as it is indirect e.g. Apps with $1 each or typical digital goods Source: Facebook HACK
Data Driven Advertising -  Closed loop process automation Planning Define your target audience. Select from fixed  audiences existing categories such as demography, occupation, education, and hobbies, or design your own unique target group. Ad Serving The delivery is fully automated within the Advertising Platform. Just choose a banner, specify the duration of the campaign, select a target group... and you‘re done! Real time campaign and conversion optimization. Market Intelligence Incorporate your new findings directly into your marketing plan to achieve a higher ROI  Reporting You will receive an evaluation of your campaign in real time. Learn more about your users: How old are  they? Where do they live? Are they female or male? Interests? Or integrate the social media measurement tools as you see fit. Analytics Real time campaign Optimization
The Market of Today – Web 1.0 Companies rule the game ,[object Object]
Problem: To find out who is leading in technology and who is leading but personal network ,[object Object]
2011 is the year of M&A
Single tools will become platforms
Older technologies will disappear,[object Object]
The Social data revolution – Websites like Social Networks can increase their power Source: http://www.slideshare.net/tkawaja/terence-kawajas-iab-networks-and-exchanges-keynote
The new data layer will add more middleman Source: http://www.slideshare.net/tkawaja/terence-kawajas-iab-networks-and-exchanges-keynote
Privacy – What is needed for the personalized web? ,[object Object]
Is data on the web private?
Why is Foursquare (or i.e. Nike+ GPS data) used such often, if nobody wants to put private data online?1. Personal Data 2. Demographics: Age, Job, Joblevel etc. 3. Interests like Music, Movies, Books, Sports or even Quotations 4. Geo Data like City, Holiday Destination 5. Friends & Social Graph 6. Acitivities in Groups 7. Wall and Comments 8. Fotos 9. Specials e.g. Blogs or Videopodcasts after Content OK ( Gmail) Further use of optional User Data only under the terms of data Protection Beside the Data Protection you should respect the State of the User
PART 2: SOCIAL DATA
The New Information Age Source: http://techcrunch.com/2011/04/10/the-new-information-age/
What kind of data is available? Context Interests - Intent Identity Confidential 18 Source: Greg Stuart greg@gregstuart.com /Slideshare 18
Data is the key & social networks are leading Source: http://www.slideshare.net/tkawaja/terence-kawajas-iab-networks-and-exchanges-keynote SOCIAL  TARGETING
Social Data bringshighest user experience + clickrates ,[object Object]
Everything will be tracked. Even more on mobile
Desktop/TV – and mobile convergence,[object Object]
Single Sign-On Technologies / Facebook Connect rules the game Which Profile Data are available?
Amazon: Social Shopping with Facebook Connect SOCIALSHOPPING After Connecting with Facebook, Amazon gives you recommendations based on your and your friends public information.  For Amazon, knowing which of their Customers knowing each other would be an extremely powerfull marketing tool.  For the Users it can be very helpful to know each others interests, e.g. for buying birthday presents or borrow DVDs which are already bought by friends.
[object Object]
Collaborative Filtering
Advertising
RecommendationsPersonalized Experience with Facebook Connect
[object Object]
Is now on hold at Facebook
Sales houses will push this approach together with behavioral targeting vendors again as well to have aInstant Personalization – End of privacy?(Facebook stopped rollout due to transparency)
Real Time Identitfication
Augmented Reality
Virtual Worlds of today-  Zynga'sFarmville ,[object Object]
Tomorrow augmented reality games  and physical world will converge
Example: Mobile GPS based games,[object Object]
PART 3: OPPORTUNITIES
Facebook to communicate with your oldfriends
Badooto get in touch with newfriends
Foursquareaddslocationawareness

Weitere ähnliche Inhalte

Mehr von Michael Altendorf

Michael Altendorf, ADTELLIGENCE - How to start a Venture
Michael Altendorf, ADTELLIGENCE - How to start a VentureMichael Altendorf, ADTELLIGENCE - How to start a Venture
Michael Altendorf, ADTELLIGENCE - How to start a Venture
Michael Altendorf
 
Kapitel 6 Marktforschung & -Analyse Michael Altendorf FH Salzburg Multimedia ...
Kapitel 6 Marktforschung & -Analyse Michael Altendorf FH Salzburg Multimedia ...Kapitel 6 Marktforschung & -Analyse Michael Altendorf FH Salzburg Multimedia ...
Kapitel 6 Marktforschung & -Analyse Michael Altendorf FH Salzburg Multimedia ...
Michael Altendorf
 
Kapitel 10 Existenzgründung Praxisbeispiel Michael Altendorf FH Salzburg SS 2010
Kapitel 10 Existenzgründung Praxisbeispiel Michael Altendorf FH Salzburg SS 2010Kapitel 10 Existenzgründung Praxisbeispiel Michael Altendorf FH Salzburg SS 2010
Kapitel 10 Existenzgründung Praxisbeispiel Michael Altendorf FH Salzburg SS 2010
Michael Altendorf
 
Kapitel 1 Einleitung Michael Altendorf Fh Salzburg Multimedia Technologie Ss2010
Kapitel 1 Einleitung Michael Altendorf Fh Salzburg Multimedia Technologie Ss2010Kapitel 1 Einleitung Michael Altendorf Fh Salzburg Multimedia Technologie Ss2010
Kapitel 1 Einleitung Michael Altendorf Fh Salzburg Multimedia Technologie Ss2010
Michael Altendorf
 
11 Literaturverzeichnis und_empfehlungen_fh_salzburg_multimedia_technologie_s...
11 Literaturverzeichnis und_empfehlungen_fh_salzburg_multimedia_technologie_s...11 Literaturverzeichnis und_empfehlungen_fh_salzburg_multimedia_technologie_s...
11 Literaturverzeichnis und_empfehlungen_fh_salzburg_multimedia_technologie_s...
Michael Altendorf
 
Kapitel 5 Internet Economics Michael Altendorf FH Salzburg Multimedia Technol...
Kapitel 5 Internet Economics Michael Altendorf FH Salzburg Multimedia Technol...Kapitel 5 Internet Economics Michael Altendorf FH Salzburg Multimedia Technol...
Kapitel 5 Internet Economics Michael Altendorf FH Salzburg Multimedia Technol...
Michael Altendorf
 
Kapitel 4 Workshop Geschäftsmodelle der Internetstars FH Salzburg Multimedia ...
Kapitel 4 Workshop Geschäftsmodelle der Internetstars FH Salzburg Multimedia ...Kapitel 4 Workshop Geschäftsmodelle der Internetstars FH Salzburg Multimedia ...
Kapitel 4 Workshop Geschäftsmodelle der Internetstars FH Salzburg Multimedia ...
Michael Altendorf
 
Kapitel 2 Wie schreibt man einen Businessplan? Michael Altendorf FH Salzburg ...
Kapitel 2 Wie schreibt man einen Businessplan? Michael Altendorf FH Salzburg ...Kapitel 2 Wie schreibt man einen Businessplan? Michael Altendorf FH Salzburg ...
Kapitel 2 Wie schreibt man einen Businessplan? Michael Altendorf FH Salzburg ...
Michael Altendorf
 
ADTELLIGENCE White Paper: Monetizationof strategies and business models for S...
ADTELLIGENCE White Paper: Monetizationof strategies and business models for S...ADTELLIGENCE White Paper: Monetizationof strategies and business models for S...
ADTELLIGENCE White Paper: Monetizationof strategies and business models for S...
Michael Altendorf
 

Mehr von Michael Altendorf (20)

Intro Presentation - Future of eCommerce - Big Data, Social, Mobile & Real Ti...
Intro Presentation - Future of eCommerce - Big Data, Social, Mobile & Real Ti...Intro Presentation - Future of eCommerce - Big Data, Social, Mobile & Real Ti...
Intro Presentation - Future of eCommerce - Big Data, Social, Mobile & Real Ti...
 
Michael Altendorf, ADTELLIGENCE - How to start a Venture
Michael Altendorf, ADTELLIGENCE - How to start a VentureMichael Altendorf, ADTELLIGENCE - How to start a Venture
Michael Altendorf, ADTELLIGENCE - How to start a Venture
 
MBA School Mannheim - How to write a Business Plan _Entrepreneurship Club
MBA School Mannheim - How to write a Business Plan _Entrepreneurship Club MBA School Mannheim - How to write a Business Plan _Entrepreneurship Club
MBA School Mannheim - How to write a Business Plan _Entrepreneurship Club
 
Social Commerce and real time personalization - Adtelligence presentation NOA...
Social Commerce and real time personalization - Adtelligence presentation NOA...Social Commerce and real time personalization - Adtelligence presentation NOA...
Social Commerce and real time personalization - Adtelligence presentation NOA...
 
Entrepreneurship Bootcamp - The Art of the Start - How to start a venture bac...
Entrepreneurship Bootcamp - The Art of the Start - How to start a venture bac...Entrepreneurship Bootcamp - The Art of the Start - How to start a venture bac...
Entrepreneurship Bootcamp - The Art of the Start - How to start a venture bac...
 
Adtelligence - Starting a company in Germany - Mannheim MBA School
Adtelligence - Starting a company in Germany - Mannheim MBA SchoolAdtelligence - Starting a company in Germany - Mannheim MBA School
Adtelligence - Starting a company in Germany - Mannheim MBA School
 
Lecture Entrepreneurship -The Art of the Start - How to start a Venture Capit...
Lecture Entrepreneurship -The Art of the Start - How to start a Venture Capit...Lecture Entrepreneurship -The Art of the Start - How to start a Venture Capit...
Lecture Entrepreneurship -The Art of the Start - How to start a Venture Capit...
 
ADTELLIGENCE - Social Targeting & Permission Marketing - Die Zukunft der Onli...
ADTELLIGENCE - Social Targeting & Permission Marketing - Die Zukunft der Onli...ADTELLIGENCE - Social Targeting & Permission Marketing - Die Zukunft der Onli...
ADTELLIGENCE - Social Targeting & Permission Marketing - Die Zukunft der Onli...
 
TEDx Rhein-Main Michael Altendorf February 2011 - Virtual Identity and the en...
TEDx Rhein-Main Michael Altendorf February 2011 - Virtual Identity and the en...TEDx Rhein-Main Michael Altendorf February 2011 - Virtual Identity and the en...
TEDx Rhein-Main Michael Altendorf February 2011 - Virtual Identity and the en...
 
Data protection and privacy in the social web en 17072010
Data protection and privacy in the social web en 17072010Data protection and privacy in the social web en 17072010
Data protection and privacy in the social web en 17072010
 
Kapitel 8 Raising Venture Capital Michael Altendorf FH Salzburg SS2010
Kapitel 8 Raising Venture Capital Michael Altendorf FH Salzburg SS2010Kapitel 8 Raising Venture Capital Michael Altendorf FH Salzburg SS2010
Kapitel 8 Raising Venture Capital Michael Altendorf FH Salzburg SS2010
 
Kapitel 6 Marktforschung & -Analyse Michael Altendorf FH Salzburg Multimedia ...
Kapitel 6 Marktforschung & -Analyse Michael Altendorf FH Salzburg Multimedia ...Kapitel 6 Marktforschung & -Analyse Michael Altendorf FH Salzburg Multimedia ...
Kapitel 6 Marktforschung & -Analyse Michael Altendorf FH Salzburg Multimedia ...
 
Kapitel 10 Existenzgründung Praxisbeispiel Michael Altendorf FH Salzburg SS 2010
Kapitel 10 Existenzgründung Praxisbeispiel Michael Altendorf FH Salzburg SS 2010Kapitel 10 Existenzgründung Praxisbeispiel Michael Altendorf FH Salzburg SS 2010
Kapitel 10 Existenzgründung Praxisbeispiel Michael Altendorf FH Salzburg SS 2010
 
Kapitel 1 Einleitung Michael Altendorf Fh Salzburg Multimedia Technologie Ss2010
Kapitel 1 Einleitung Michael Altendorf Fh Salzburg Multimedia Technologie Ss2010Kapitel 1 Einleitung Michael Altendorf Fh Salzburg Multimedia Technologie Ss2010
Kapitel 1 Einleitung Michael Altendorf Fh Salzburg Multimedia Technologie Ss2010
 
11 Literaturverzeichnis und_empfehlungen_fh_salzburg_multimedia_technologie_s...
11 Literaturverzeichnis und_empfehlungen_fh_salzburg_multimedia_technologie_s...11 Literaturverzeichnis und_empfehlungen_fh_salzburg_multimedia_technologie_s...
11 Literaturverzeichnis und_empfehlungen_fh_salzburg_multimedia_technologie_s...
 
Kapitel 5 Internet Economics Michael Altendorf FH Salzburg Multimedia Technol...
Kapitel 5 Internet Economics Michael Altendorf FH Salzburg Multimedia Technol...Kapitel 5 Internet Economics Michael Altendorf FH Salzburg Multimedia Technol...
Kapitel 5 Internet Economics Michael Altendorf FH Salzburg Multimedia Technol...
 
Kapitel 4 Workshop Geschäftsmodelle der Internetstars FH Salzburg Multimedia ...
Kapitel 4 Workshop Geschäftsmodelle der Internetstars FH Salzburg Multimedia ...Kapitel 4 Workshop Geschäftsmodelle der Internetstars FH Salzburg Multimedia ...
Kapitel 4 Workshop Geschäftsmodelle der Internetstars FH Salzburg Multimedia ...
 
Kapitel 2 Wie schreibt man einen Businessplan? Michael Altendorf FH Salzburg ...
Kapitel 2 Wie schreibt man einen Businessplan? Michael Altendorf FH Salzburg ...Kapitel 2 Wie schreibt man einen Businessplan? Michael Altendorf FH Salzburg ...
Kapitel 2 Wie schreibt man einen Businessplan? Michael Altendorf FH Salzburg ...
 
ADTELLIGENCE White Paper: Monetizationof strategies and business models for S...
ADTELLIGENCE White Paper: Monetizationof strategies and business models for S...ADTELLIGENCE White Paper: Monetizationof strategies and business models for S...
ADTELLIGENCE White Paper: Monetizationof strategies and business models for S...
 
Monetarisierung von Social Networks Medientage 2009 München
Monetarisierung von Social Networks Medientage 2009 MünchenMonetarisierung von Social Networks Medientage 2009 München
Monetarisierung von Social Networks Medientage 2009 München
 

Kürzlich hochgeladen

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 

Kürzlich hochgeladen (20)

ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 

Adtelligence - Data Driven Advertising &_Targeting in the Social Web - Lecture

  • 1. Data Driven Advertising in the Social Web Lecture / FH FurtwangenMichael Altendorf11.5.2011
  • 2. AGENDA PART 1: THE NEW MARKET PART 2: SOCIAL DATA PART 3: OPPORTUNITIES
  • 3. PART 1: THE NEW MARKET
  • 4.
  • 5. Mobile Data/internet flatrate will change life of many people around the world
  • 6. The personalized web comes close to the first vision of the internet
  • 7. Communication is everywhere, even your new TV will have Skype Source: Computer History Museum
  • 8. The Social Web market is already No 1 The Social Web may still be in its early phases, but it is likely to transform the fundamental businesses of the Internet far more rapidly than the incumbents anticipate. » » (Accel Ventures – The rise of the social web, 2009)
  • 9. Facebook‘s revenues increase fast "Its early days are unproven fully, but Facebook believes that's the holy grail," observed analysis Kawaja.
  • 10. And Facebook‘s valuation increases even faster (max ~95B) Source: Techcrunch.com
  • 11. Plattform vs. One Trick Pony Very hard to generate first network effects Difficult monetization as it is indirect e.g. Apps with $1 each or typical digital goods Source: Facebook HACK
  • 12. Data Driven Advertising - Closed loop process automation Planning Define your target audience. Select from fixed audiences existing categories such as demography, occupation, education, and hobbies, or design your own unique target group. Ad Serving The delivery is fully automated within the Advertising Platform. Just choose a banner, specify the duration of the campaign, select a target group... and you‘re done! Real time campaign and conversion optimization. Market Intelligence Incorporate your new findings directly into your marketing plan to achieve a higher ROI Reporting You will receive an evaluation of your campaign in real time. Learn more about your users: How old are they? Where do they live? Are they female or male? Interests? Or integrate the social media measurement tools as you see fit. Analytics Real time campaign Optimization
  • 13.
  • 14.
  • 15. 2011 is the year of M&A
  • 16. Single tools will become platforms
  • 17.
  • 18. The Social data revolution – Websites like Social Networks can increase their power Source: http://www.slideshare.net/tkawaja/terence-kawajas-iab-networks-and-exchanges-keynote
  • 19. The new data layer will add more middleman Source: http://www.slideshare.net/tkawaja/terence-kawajas-iab-networks-and-exchanges-keynote
  • 20.
  • 21. Is data on the web private?
  • 22. Why is Foursquare (or i.e. Nike+ GPS data) used such often, if nobody wants to put private data online?1. Personal Data 2. Demographics: Age, Job, Joblevel etc. 3. Interests like Music, Movies, Books, Sports or even Quotations 4. Geo Data like City, Holiday Destination 5. Friends & Social Graph 6. Acitivities in Groups 7. Wall and Comments 8. Fotos 9. Specials e.g. Blogs or Videopodcasts after Content OK ( Gmail) Further use of optional User Data only under the terms of data Protection Beside the Data Protection you should respect the State of the User
  • 24. The New Information Age Source: http://techcrunch.com/2011/04/10/the-new-information-age/
  • 25. What kind of data is available? Context Interests - Intent Identity Confidential 18 Source: Greg Stuart greg@gregstuart.com /Slideshare 18
  • 26. Data is the key & social networks are leading Source: http://www.slideshare.net/tkawaja/terence-kawajas-iab-networks-and-exchanges-keynote SOCIAL TARGETING
  • 27.
  • 28. Everything will be tracked. Even more on mobile
  • 29.
  • 30. Single Sign-On Technologies / Facebook Connect rules the game Which Profile Data are available?
  • 31. Amazon: Social Shopping with Facebook Connect SOCIALSHOPPING After Connecting with Facebook, Amazon gives you recommendations based on your and your friends public information. For Amazon, knowing which of their Customers knowing each other would be an extremely powerfull marketing tool. For the Users it can be very helpful to know each others interests, e.g. for buying birthday presents or borrow DVDs which are already bought by friends.
  • 32.
  • 36.
  • 37. Is now on hold at Facebook
  • 38. Sales houses will push this approach together with behavioral targeting vendors again as well to have aInstant Personalization – End of privacy?(Facebook stopped rollout due to transparency)
  • 41.
  • 42. Tomorrow augmented reality games and physical world will converge
  • 43.
  • 45. Facebook to communicate with your oldfriends
  • 46. Badooto get in touch with newfriends
  • 50. Twitter User generated News, faster than Reuters
  • 51. Opportunities in many areas! The new market: „Social Web“
  • 52.
  • 56. Mobile everywhereWhat to look for in the future
  • 58. Companies: www.adtelligence.de www.gravity.com/www.thecleversense.com/www.kamvar.org www.peerset.com www.media6degrees.com Articles http://techcrunch.com/2011/04/10/the-new-information-age/ http://www.slideshare.net/tkawaja/terence-kawajas-iab-networks-and-exchanges-keynote http://www.youtube.com/watch?v=35fNDzUe0vE www.slideshare.net/tkawaja/the-scienceification-of-media http://www.gpbullhound.com/researchpdf/GPBullhound%20Report%20-%20The%20Social%20Media%20Explosion%20-%20August%202010.pdf http://www.accel.com/download.php?file_id=80 More Information
  • 59. Check it out: www.adtelligence.de Become a fan: www.facebook.com/adtelligence About ADTELLIGENCE
  • 60.
  • 61. Founded by Michael Altendorf and Dr. Cyrille Waguet (SAP’s chief software architect of BI unit), together with venture capitalists
  • 62. Team consists of experts that formerly held key positions at SAP, Google, & IBM
  • 63. With its technology, ADTELLIGENCE creates the basis for successful business models in Web 2.0 & mobile platforms, increasing the competitiveness of social media services over traditional media
  • 64. ADTELLIGENCE got awarded at the Intel Technology Entrepreneurship Challenge 2010 (IBTEC) in Berkeley About ADTELLIGENCE
  • 65. Some impressions BUSINESS INTELLIGENCE SELF-BOOKINGPLATFORM SOCIALANALYTICS GEOTARGETING INTERESTTARGETING eCommerceAnalytics
  • 66.
  • 67. Targeting / matchinghappens up to millions of times per second. Huge benefit: we scale the matching algorithms to millions of calculations per second and have minimal infrastructure costs at the same time.Social Targeting & Dynamic Personalization Process
  • 68. Dynamic Personalization and Sales Funnel Analysis 1. Der Nutzer klickt auf den zielgruppen- optimierter Banner 2. Die Webseite passt sich dynamisch an die Bedürfnisse des Nutzers an 3. Der Nutzer wählt Ihre Produkte aus 4. Nach der Auswahl klickt der Nutzer auf "bestellen" 5. Die Daten des Nutzers werden abgefragt 6. Die Artikel sind gekauft Abbruch z.B. nicht alle Daten zur Hand Abbruch 3. Reminder Per E-Mail Per Rückruf Re-Targeting 1.Unvollständige Bestellung wird aufgenommen Re-Targeting Der Nutzer wird immer wieder in den Kaufprozess zurückgeleitet. Absprungraten werden so minimiert. - 20% - 25% - 25% Fußballtickets Frauenschuhe Frauenschuhe 2. Fehlende Daten werden nachgereicht Formular ausdrucken & per Post schicken Im Kundenbereich einloggen und Daten eintragen Per Telefon
  • 69.
  • 70. Increase your Conversions with next Generation Web Analytics
  • 71.

Hinweis der Redaktion

  1. The combination oftwitter, facerecognition and mobile data flat allows the convergence of digital and normal life