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PERSONALIZATION
PHILIPP BAERFUSS
MAGNOLIA CTO
CATCH UP
NEW FEATURES
STABALIZE
5.35.25.15.0
WE NEED
PERSONALIZATION!
JOURNEY
UNDERSTANDING
Brochure
Brochure Targeting
Brochure Targeting Individual
Personalization
Personalization
Explicit
Based on an actual user profile given to us:
- user registers a profile with us
- user allows us to access a social profile
- user profile is stored in an external system
- profile reveals explicit, personal data
Personalization
Implicit
Based on what we can see in a visit:
- new or recurring visitor
- geo location of visitor
- languages set in browser
- date and time of visit
- device type and its capabilities
Explicit
Based on an actual user profile given to us:
- user registers a profile with us
- user allows us to access a social profile
- user profile is stored in an external system
- profile reveals explicit, personal data
Personalization
Implicit
Based on what we can see in a visit:
- new or recurring visitor
- geo location of visitor
- languages set in browser
- date and time of visit
- device type and its capabilities
Explicit
Based on an actual user profile given to us:
- user registers a profile with us
- user allows us to access a social profile
- user profile is stored in an external system
- profile reveals explicit, personal data
Behavior Analysis
Based on a visitor‘s journey so far:
- tag content with „interests“
- track pages a visitor goes to
- create implicit profile from histograms
- adapt content on pages accordingly
- use data from ad networks to know more
http://postitartists.com/wp-content/uploads/2013/12/postitwall.jpg
ESENCE
Magnolia combines flexibility,
efficiency and simplicity in a
unique way.
SIMPLICITY
“Simplicity before understanding is
simplistic; simplicity after
understanding is simple.”
TAKING THE TRAIN
THE 4 TOOLS
1) TRAITS
age
Yên is an 18-year-old Vietnamese speaker.
languagetraits:
Traits
Personas
Segments
Content
Variants
Traits
Magnolia (Out of the Box)
Traits
Traits
Magnolia (Out of the Box)
Custom
Traits
Traits
Magnolia (Out of the Box)
Personalization Engine
Custom
Traits
Traits
Implicit
Based on what we can see in a visit:
- new or recurring visitor
- geo location of visitor
- languages set in browser
- date and time of visit
- device type and its capabilities
Explicit
Based on an actual user profile given to us:
- user registers a profile with us
- user allows us to access a social profile
- user profile is stored in an external system
- profile reveals explicit, personal data
&
Magnolia (Out of the Box)
Personalization Engine
Custom
Traits
2) CONTENT VARIANTS
DEMO
Traits
Personas
Segments
Content
Variants
ORGANIZE!
3) SEGMENTS
7%
8%
10%
11%
29%
35%
traits
rules
age >= 18
interest incl. movies
location of visit = China
segment
DEMO
Traits
Personas
Segments
Content
Variants
4) PERSONAS
Age = 37
Sex = male
Technical
Philipp
DEMO
+
Date
Location
Device
Philipp
DEMO
Traits
Personas
Segments
Content
Variants
LEVERAGE WHAT WE HAVE
Content Apps
Content Apps
Categorization
++
Content Apps
Categorization
++
Dynamic Components
++
USE THE TRAITS IN YOUR TEMPLATES
MARKETING TAGS
<script type="text/javascript">
var google_conversion_id = 123;
</script>
1
2
3<head>
<body>
DEMO
ON PERFORMANCE
OPTIMIZE THE CACHE
Cache Key
Cache Policy
Cache Filter
WHAT IS SLOW?
POST CACHING
CACHE RENDERING
EDGE SIDE
INCLUDES (ESI)
PERSONALIZATION
ARCHITECTURE
+ +
4 TOOLS LEVERAGE MARKETING
TAGS
4 Tools
Preview
Marketing Tags
Caching
More Traits
Content Pools
OUTLOOK
Multivariate Testing
Content Inheritance
Behavior Analysis
NEXTDONE
FEEDBACK
THANK
YOU!

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