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Designing Experiences Under Pressure:
CMS/WCM/Experience Management Platforms:
3rd
Party Optimizers:
1. Freedom from bothering programmers! Non-technical management.
2. Richness of data model; depth and fit-for-purpose.
3. Interface usability, high integration with other tasks/analytics.
4. Appropriateness of architecture to scale of activity, operational efficiencies.
5. Breadth of capabilities, special features like machine learning.
Evaluating Personalization Platforms
CMS/WCM
Architecture:
3rd
Party Optimizer
Architecture:
1. Better interfaces to help organize personalization efforts—like a file
system. Difficult to survey and organize complex activity.
 Multi-part Personalization Programs with numerous rules,
components, etc. Some systems have an idea of campaigns.
 Reusable components—rules, content sets, etc.
2. Tracking at the level of the performance of the individual
personalized component. Campaigns, segments, etc. are usually
the focus of tracking.
What’s Missing From Current Platforms?
 Where to start. So much possibility.
 Necessary Content. Bet you don’t have it.
 How to proof. The site no longer looks the same to all users.
 Who owns this. Personalization needs a home in Web operations.
 Organizing the effort. The need to keep track of personalization.
 Technical challenges. Performance / storage can be significant issues.
What Are The Operational Challenges?
The Basic Flow of
All Personalization
Activity:
Four Frameworks
To Organize
Activity:
 Aligning with UX and Content Strategy
 Documenting programs, campaigns,
components, rules and audience segments
 User state simulation and
Collision Detection
 QA and QA history
 Tracking outcomes and tracking history
Staying Organized
 Choosing a methodology
 Dangers of getting it wrong
 Continuous evolution of segments
 Machine generated segmentation
 3rd
Party Data
Profiling Users
 Beyond “Optimization”
 UX, User Researchers, Content Strategists
 Marketing Managers, Analytics Pros
 Making the case
 The need for Personalization Architects
Building The Team
 The promise, the reality
 Multichannel engagement automation
 Theoretical and practical difficulties
 Fragmented platforms, user repositories
 The real best case scenario
Multichannel, Lifetime
Love of Your Brand
Hey! I wrote a 250-page
substantive book on this topic!
On Amazon:
bit.ly/tbgpersonalizationebook
Me on twitter:
@rjohnberndt
@berndtgroup
#one2oneweb

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Content Personalization for Web Teams of All Sizes (SXSW 2015 talk)

  • 1.
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 8.
  • 10. 1. Freedom from bothering programmers! Non-technical management. 2. Richness of data model; depth and fit-for-purpose. 3. Interface usability, high integration with other tasks/analytics. 4. Appropriateness of architecture to scale of activity, operational efficiencies. 5. Breadth of capabilities, special features like machine learning. Evaluating Personalization Platforms
  • 12. 1. Better interfaces to help organize personalization efforts—like a file system. Difficult to survey and organize complex activity.  Multi-part Personalization Programs with numerous rules, components, etc. Some systems have an idea of campaigns.  Reusable components—rules, content sets, etc. 2. Tracking at the level of the performance of the individual personalized component. Campaigns, segments, etc. are usually the focus of tracking. What’s Missing From Current Platforms?
  • 13.  Where to start. So much possibility.  Necessary Content. Bet you don’t have it.  How to proof. The site no longer looks the same to all users.  Who owns this. Personalization needs a home in Web operations.  Organizing the effort. The need to keep track of personalization.  Technical challenges. Performance / storage can be significant issues. What Are The Operational Challenges?
  • 14. The Basic Flow of All Personalization Activity: Four Frameworks To Organize Activity:
  • 15.  Aligning with UX and Content Strategy  Documenting programs, campaigns, components, rules and audience segments  User state simulation and Collision Detection  QA and QA history  Tracking outcomes and tracking history Staying Organized
  • 16.  Choosing a methodology  Dangers of getting it wrong  Continuous evolution of segments  Machine generated segmentation  3rd Party Data Profiling Users
  • 17.  Beyond “Optimization”  UX, User Researchers, Content Strategists  Marketing Managers, Analytics Pros  Making the case  The need for Personalization Architects Building The Team
  • 18.  The promise, the reality  Multichannel engagement automation  Theoretical and practical difficulties  Fragmented platforms, user repositories  The real best case scenario Multichannel, Lifetime Love of Your Brand
  • 19. Hey! I wrote a 250-page substantive book on this topic! On Amazon: bit.ly/tbgpersonalizationebook Me on twitter: @rjohnberndt @berndtgroup #one2oneweb