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360 digital marketing metadata
Heimo Hänninen
@heimohanninen
www.talentbase.fi
Today’s shop window and clerk look like these
The tide is turning
Source:
http://markbean.tumblr.com/
The pain
• Big data 3V
• Is this the same thing here as it is in other source?
• What does this thing mean – no definition, context ?
• Is your definition different than customer's?
• Can I trust this data?
• Who is responsible of maintaining this data?
• Why customers don’t like our content?
• The product is out, but no-one seems to find it?
• Are we putting our money on the right content?
• Are we maintain the content which no one cares?
• What customers might expect next?
• A lot of traffic but not many clicks to buy – why?
Some facts
• SEO and Social are the most important drivers to your site
– 75% of users never scroll past the first page of results
– Inbound leads costs 61% less than outbound leads
• a prospect coming from Facebook to your eShop vs one bombarded by
campaigns, newsletters mass broadcasts…
• By Ektron study 2013
• Content must be relevant for the visitors
– Keywords should be derived from the content – not creating content
around the keywords
• to create conversation, to add relevant keywords
• Business systems are optimized locally but damaged as whole
– The relevant metadata about your products and customers is somewhere
(in isolated system) but not inserted to the web pages
Metadata behind user experience
Content
Descriptive,
management,
targeting
Business
Offerings,
Biz targets
A / B testing
Customer
Location, site
behaviour,
search history,
community
activities
Other
customers
History data,
patterns,
reviews
Life cycle as you may think
Create Publish Engage
Manage
Analytics
Life cycle of metadata - evolving
Creation
Publishing
Engagement
Analytics Management
CREATION
Content related
ANALYTICS
Behaviour
ENGANGEMENT
Conversion
PUBLISH
Business context
Five content metadata types for 360 view
Dynamic Static
User generated:
- review, rate, posts
- augmentations
- content curation
How customers value it.
Learn from customers.
Conversation
Content meta: e.g.
title, creator,
description,
keywords… How author meant it
Created
Analytics:
- user’s actions
- other users’ action
- Social data mining
How customer behaves and
previous customers behaved
Observed
Business substance
categories: e.g.
product, market,
customer, price…
How business sees it
Applied
Auto-
tagging
Management
small data on top of Big Data
Ontology
Product
Model
Life Sport
Technology
Customer Car
Audi
Market
How big is the big?
Connected 2012
99% to be connected
High level architecture
DB-Pedia
LOD
Common
terms
Web publishing, user interaction
Presentation
RTD
Content
publishing
CMS
Campaign
Data
Customer
Data
Product Data
Site
Operational core data
New terms
Terms for
tagging
User generated Targets
Indexing &
Search
SEO keywords
SOLR
Metadata service
Ontology
Enterprise
graph
PoolParty
Virtuoso
Facebook
Graph API
Web
analytics
Results
Apache Hadoop
MapReduce
SocialDevice
Behaviour
LED
Layers
Big Data Storage
Data Sources LOD
Data Processing &
Analysis
Apache Hadoop DFS
DB-Pedia CRM
MapReduce…
Facebook
Graph API
Enterprise Graph
Business Ontology =
small data CMS
PoolParty…
Virtuoso, Neo4j…
PDM
Publishing
CMS
CRM
PDM
LED
Sample: 5 type of Content Metadata
User generated
-contest results
-blog comments
-shared own video URL
Business related
-Auto type: Sports/Roadster
-Segment: promoter
-KPI: Number of new
customers per month
-Campaign type: local store
Analytics based, observed
-number of page visits
-time spend on page
-next click to the Event –rate
- Call To Action success
Content related
-Title: Sales event in Münich
-Description: Pink prize to…
-Content type: Teaser
-Format: MPG4
Promoted by
Teaser
A press release:
Content Item Smart Car Radio
Product
Ontology
Product
Model
Life Sport
Technology
Customer Car
Audi
Management
-CMS ID
-Online FROM – TO date
-author
Demo - smart car radio: triplets
Demo - smart car radio: enterprise graph
Demo - smart car radio: Biz Ontology
Demo
Let’s have a PoolParty
Demo: Smart car radio
Three key points are demonstrated in the following video:
1. Smart Car Radio as SKOS thesaurus
• Customized as business ontology (relations, attributes)
2. Five type of metadata of Content Items
3. Linked Open Data connectivity and auto-populating concepts
Play
Questions?
…please contact
heimo.hanninen@talentbase.fi
Thank You

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360 digital marketing metadata Leipzig 2014

  • 1. 360 digital marketing metadata Heimo Hänninen @heimohanninen www.talentbase.fi
  • 2. Today’s shop window and clerk look like these
  • 3. The tide is turning Source: http://markbean.tumblr.com/
  • 4. The pain • Big data 3V • Is this the same thing here as it is in other source? • What does this thing mean – no definition, context ? • Is your definition different than customer's? • Can I trust this data? • Who is responsible of maintaining this data? • Why customers don’t like our content? • The product is out, but no-one seems to find it? • Are we putting our money on the right content? • Are we maintain the content which no one cares? • What customers might expect next? • A lot of traffic but not many clicks to buy – why?
  • 5. Some facts • SEO and Social are the most important drivers to your site – 75% of users never scroll past the first page of results – Inbound leads costs 61% less than outbound leads • a prospect coming from Facebook to your eShop vs one bombarded by campaigns, newsletters mass broadcasts… • By Ektron study 2013 • Content must be relevant for the visitors – Keywords should be derived from the content – not creating content around the keywords • to create conversation, to add relevant keywords • Business systems are optimized locally but damaged as whole – The relevant metadata about your products and customers is somewhere (in isolated system) but not inserted to the web pages
  • 6. Metadata behind user experience Content Descriptive, management, targeting Business Offerings, Biz targets A / B testing Customer Location, site behaviour, search history, community activities Other customers History data, patterns, reviews
  • 7. Life cycle as you may think Create Publish Engage Manage Analytics
  • 8. Life cycle of metadata - evolving Creation Publishing Engagement Analytics Management
  • 9. CREATION Content related ANALYTICS Behaviour ENGANGEMENT Conversion PUBLISH Business context Five content metadata types for 360 view Dynamic Static User generated: - review, rate, posts - augmentations - content curation How customers value it. Learn from customers. Conversation Content meta: e.g. title, creator, description, keywords… How author meant it Created Analytics: - user’s actions - other users’ action - Social data mining How customer behaves and previous customers behaved Observed Business substance categories: e.g. product, market, customer, price… How business sees it Applied Auto- tagging Management
  • 10. small data on top of Big Data Ontology Product Model Life Sport Technology Customer Car Audi Market
  • 11. How big is the big? Connected 2012 99% to be connected
  • 12. High level architecture DB-Pedia LOD Common terms Web publishing, user interaction Presentation RTD Content publishing CMS Campaign Data Customer Data Product Data Site Operational core data New terms Terms for tagging User generated Targets Indexing & Search SEO keywords SOLR Metadata service Ontology Enterprise graph PoolParty Virtuoso Facebook Graph API Web analytics Results Apache Hadoop MapReduce SocialDevice Behaviour LED
  • 13. Layers Big Data Storage Data Sources LOD Data Processing & Analysis Apache Hadoop DFS DB-Pedia CRM MapReduce… Facebook Graph API Enterprise Graph Business Ontology = small data CMS PoolParty… Virtuoso, Neo4j… PDM Publishing CMS CRM PDM LED
  • 14. Sample: 5 type of Content Metadata User generated -contest results -blog comments -shared own video URL Business related -Auto type: Sports/Roadster -Segment: promoter -KPI: Number of new customers per month -Campaign type: local store Analytics based, observed -number of page visits -time spend on page -next click to the Event –rate - Call To Action success Content related -Title: Sales event in Münich -Description: Pink prize to… -Content type: Teaser -Format: MPG4 Promoted by Teaser A press release: Content Item Smart Car Radio Product Ontology Product Model Life Sport Technology Customer Car Audi Management -CMS ID -Online FROM – TO date -author
  • 15. Demo - smart car radio: triplets
  • 16. Demo - smart car radio: enterprise graph
  • 17. Demo - smart car radio: Biz Ontology
  • 18. Demo Let’s have a PoolParty
  • 19. Demo: Smart car radio Three key points are demonstrated in the following video: 1. Smart Car Radio as SKOS thesaurus • Customized as business ontology (relations, attributes) 2. Five type of metadata of Content Items 3. Linked Open Data connectivity and auto-populating concepts Play