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A Rough Guide to

Social Media Research
Francesco D’Orazio, Research Director at Face, @abc3d




 CIPRsm
We have been
asking the
wrong question
“We talk of the relationships
consumers have with our brands
as if they were primary but the
data points to things being
otherwise. Consumers’ most
valuable relationships are not with
brands but with other
consumers” Mark Earls
Social media allow us to learn about
the relationships and interactions
between consumers and how brands
can fit into that equation 




                     Cosmic 140 © Information Architects, Inc. 2010
Social Media allow us to see how
interactions play out at network level
How do you fit
                                 into peoples
                                 lives?

                                 What does it
                                 mean to be
                                 human?
© Avatar Sculpture Works 2005
Currently we look at social media#
                         like a butcher looks at a carcass
                                                         




Cutting by
keywords 


         Aggregating
         by channels
                    Weighting
                                       by influence
© Alexandre Farto aka Vhils 2010




  We are only just scratching #
  the surface > CONTENT
© Alexandre Farto aka Vhils 2010




   Missing out on
   CONTEXT > stories, social
   spaces, physical spaces…
   BEHAVIOUR > activities,
   purchase, consumption…
“A Periodic Table of Human Behaviours” David Bausola
The code
behind a
tweet
© Alexandre Farto aka Vhils 2010




  Today we are going to focus on
  analyzing CONTENT through
  social media mining
how do you turn social
media data into insights?
Define the objectives of the study:


           Brand audit#
           Topic audit#
        Campaign Tracking#
         Ongoing Tracking#
           Social CRM
Hearing vs Listening#


    What are you going to listen to?#
Do not assume you can track everything#
        Build a panel of sources#
    Shape your panel strategically#
   Make data comparable over time
Define your #
   verticals#
as well as your #
  horizontals
What kind of data streams #
 do you have access to?#



       Real-time?#
       Sampled?#
     Sampled How?#
       Historical?
Define your search strategy


    Cast your net wide#
  Keywords & Keyphrases
Stopwords & Content Filters
       Date Range
          Iterate
Look at the metrics
visual mining and natural interaction with
   data to support pattern recognition #
          and iterative thinking
volumes are nothing without weighting



          take into account reach,
        engagement and features of
                each message
            to assess its ‘visibility’
human sentiment analysis is key: #
       we crowd-source it

      Analysts                                  Company




                    Benefits of this approach


a) access to a on-demand, 24/7, scalable workforce
b) volumes: thousands of messages analyzed in a few hours
c) lower cost per message coded
1) Domain Relevance
      2) User Reach
    3) User Credibility




how do you
  measure
 influence?
but there are still some open challenges:


                demographics
                 geography
                  sentiment
                   sources
                    spam
this is why social media analysis is all about...
partitioning




reducing complexity    hierarchy




                      independence
mining for patterns


decoding the shape of phenomena,
     rather then micro values
from data to insights
the
                            POLL          packaging              PICTURE

                                                 The analysis funnel
                                                                   
                             S
                                          looks cool
                    CHAT                     but...                 love this
                           did you                                    ad...
                             hear                       saw
           BLOG              that..                    this on
                                                           fb    this is
                  VIDEO                                          cool..
                                       check
                                      this out



                             web scan


                      targeted monitoring

feedback                                                                        feedback
                           noise reduction

                          refined mentions

    feedback                  analysis                              feedback


                              reporting
step #1
landscape
summary of the most
important data for any
specific search
volumes/reactivity
visibility
qualitative visibility
geography
step #2
leads
identify the leads
that might be
pointing towards
relevant phenomena
step #3
drill-down
different types of
leads require
different types of
drill-down action
topics/wordclouds
topics/treemaps
trending topics / strata
Sites/users by volumes
Sites/users by visibility
Sites/users by engagement
step #4
events
explain what
caused a specific
phenomenon
More on Pulsar Social Media Mining Solutions
More on Pulsar Social Media Mining Solutions
tactical
           “reactions show that speed is not the main concern and
           there is a solid audience for propositions that are
           tailored on usage levels”

step #5    “identify the most influential sources that have been
insights   discussing the topic and engage them about the launch
           of the new broadband packages”


           strategic
           “providing original research-based information which
           sources and users can embed within their contents
           drives high profile mentions and viral engagement”
bring together events + insights in a
          comprehensive trend that tells the story of
step #6   the brand over a specific period of time
trends
+
models
          identify recursive patters and suggest actions
          which will cause a trend to emerge again
O2 Case Study
the business context

 1.  To plug social media monitoring into the heart of business
     and brand planning
 2.  To help maximise the potential of executions in terms of
     Social Networking
 3.  To understand how we can target media and seed better than
     today
 4.  To help with gaining proactive insight – early discovery of
     emerging trends / issues / opportunities
 5.  Brand reputation management of both consumers and the
     media
RTO2 is a social media monitoring and
analysis solution designed for O2.


                                           RTO2 it’s software +
                                           strategic consultancy


                 outputs:


                 1) bespoke dashboard
                 2) weekly reports
                 3) monthly conferencing
                 4) quarterly workshops
dashboard

                                   online DB


      web crawler

                                                                   A live interactive dashboard
                                                                     generates real-time data
                                                                   visualization and customized
                                                                               reports
                                               analytics



   A web crawler browses the
 World Wide Web searching for
    specific key-phrases in a
methodical, automated manner.
   It creates a copy of all the
                                         Software analytics tools and
relevant pages and stores them
                                         human analysts process the
 in an online database for later
                                         information harvested by the
           processing
                                            web crawler in real-time
the real-time dashboard
The overriding research objective was to utilise
one tool for Traditional media and Social media,
covering:

   1.    Media and consumer social media monitoring
   2.    Buzz monitoring and sentiment tracking
   3.    Brand reputation management and performance
   4.    Media performance
   5.    Messaging success
How is being used?


  insight/innovation: topic-trend exploration
  brand/pr: brand reputation - share of voice
  brand/pr: wider landscape
  brand/advertising/pr: product/service/campaign tracking
  customer care: targeted customer engagement / social CRM
immediate practical challenges:


              1) Key word search continuity
              2) Scale
              3) Education/training
              4) Real-time planning
              5) Real-time social CRM
thanks


                          @abc3d
         francesco@facegroup.co.uk

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Market Research Online - Francesco D'Orazio

  • 1. A Rough Guide to Social Media Research Francesco D’Orazio, Research Director at Face, @abc3d CIPRsm
  • 2. We have been asking the wrong question
  • 3. “We talk of the relationships consumers have with our brands as if they were primary but the data points to things being otherwise. Consumers’ most valuable relationships are not with brands but with other consumers” Mark Earls
  • 4.
  • 5. Social media allow us to learn about the relationships and interactions between consumers and how brands can fit into that equation  Cosmic 140 © Information Architects, Inc. 2010
  • 6. Social Media allow us to see how interactions play out at network level
  • 7. How do you fit into peoples lives? What does it mean to be human? © Avatar Sculpture Works 2005
  • 8. Currently we look at social media# like a butcher looks at a carcass Cutting by keywords Aggregating by channels Weighting by influence
  • 9. © Alexandre Farto aka Vhils 2010 We are only just scratching # the surface > CONTENT
  • 10. © Alexandre Farto aka Vhils 2010 Missing out on CONTEXT > stories, social spaces, physical spaces… BEHAVIOUR > activities, purchase, consumption…
  • 11. “A Periodic Table of Human Behaviours” David Bausola
  • 13. © Alexandre Farto aka Vhils 2010 Today we are going to focus on analyzing CONTENT through social media mining
  • 14. how do you turn social media data into insights?
  • 15. Define the objectives of the study: Brand audit# Topic audit# Campaign Tracking# Ongoing Tracking# Social CRM
  • 16. Hearing vs Listening# What are you going to listen to?# Do not assume you can track everything# Build a panel of sources# Shape your panel strategically# Make data comparable over time
  • 17. Define your # verticals# as well as your # horizontals
  • 18. What kind of data streams # do you have access to?# Real-time?# Sampled?# Sampled How?# Historical?
  • 19. Define your search strategy Cast your net wide# Keywords & Keyphrases Stopwords & Content Filters Date Range Iterate
  • 20. Look at the metrics
  • 21.
  • 22. visual mining and natural interaction with data to support pattern recognition # and iterative thinking
  • 23. volumes are nothing without weighting take into account reach, engagement and features of each message to assess its ‘visibility’
  • 24. human sentiment analysis is key: # we crowd-source it Analysts Company Benefits of this approach a) access to a on-demand, 24/7, scalable workforce b) volumes: thousands of messages analyzed in a few hours c) lower cost per message coded
  • 25. 1) Domain Relevance 2) User Reach 3) User Credibility how do you measure influence?
  • 26. but there are still some open challenges: demographics geography sentiment sources spam
  • 27. this is why social media analysis is all about...
  • 28. partitioning reducing complexity hierarchy independence
  • 29. mining for patterns decoding the shape of phenomena, rather then micro values
  • 30. from data to insights
  • 31. the POLL packaging PICTURE The analysis funnel S looks cool CHAT but... love this did you ad... hear saw BLOG that.. this on fb this is VIDEO cool.. check this out web scan targeted monitoring feedback feedback noise reduction refined mentions feedback analysis feedback reporting
  • 32. step #1 landscape summary of the most important data for any specific search
  • 37. step #2 leads identify the leads that might be pointing towards relevant phenomena
  • 38. step #3 drill-down different types of leads require different types of drill-down action
  • 45. step #4 events explain what caused a specific phenomenon
  • 46. More on Pulsar Social Media Mining Solutions
  • 47. More on Pulsar Social Media Mining Solutions
  • 48. tactical “reactions show that speed is not the main concern and there is a solid audience for propositions that are tailored on usage levels” step #5 “identify the most influential sources that have been insights discussing the topic and engage them about the launch of the new broadband packages” strategic “providing original research-based information which sources and users can embed within their contents drives high profile mentions and viral engagement”
  • 49. bring together events + insights in a comprehensive trend that tells the story of step #6 the brand over a specific period of time trends + models identify recursive patters and suggest actions which will cause a trend to emerge again
  • 51. the business context 1.  To plug social media monitoring into the heart of business and brand planning 2.  To help maximise the potential of executions in terms of Social Networking 3.  To understand how we can target media and seed better than today 4.  To help with gaining proactive insight – early discovery of emerging trends / issues / opportunities 5.  Brand reputation management of both consumers and the media
  • 52. RTO2 is a social media monitoring and analysis solution designed for O2. RTO2 it’s software + strategic consultancy outputs: 1) bespoke dashboard 2) weekly reports 3) monthly conferencing 4) quarterly workshops
  • 53. dashboard online DB web crawler A live interactive dashboard generates real-time data visualization and customized reports analytics A web crawler browses the World Wide Web searching for specific key-phrases in a methodical, automated manner. It creates a copy of all the Software analytics tools and relevant pages and stores them human analysts process the in an online database for later information harvested by the processing web crawler in real-time
  • 55. The overriding research objective was to utilise one tool for Traditional media and Social media, covering: 1.  Media and consumer social media monitoring 2.  Buzz monitoring and sentiment tracking 3.  Brand reputation management and performance 4.  Media performance 5.  Messaging success
  • 56. How is being used? insight/innovation: topic-trend exploration brand/pr: brand reputation - share of voice brand/pr: wider landscape brand/advertising/pr: product/service/campaign tracking customer care: targeted customer engagement / social CRM
  • 57. immediate practical challenges: 1) Key word search continuity 2) Scale 3) Education/training 4) Real-time planning 5) Real-time social CRM
  • 58. thanks @abc3d francesco@facegroup.co.uk