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Talking Telly
                      Or how social media is changing how to prove the value of TV




0, 1, 1, 2, 3,   5,     8,   13,     21,        34,                55,
Who are Station10?

           Multiplatform data, insight and
            optimisation experts

           We prove the true business value of your
            programmes, and help to optimise that
            performance

           We answer questions like:
                         What is the value of my multiplatform
                          audiences?

                         How is my Social Media activity
                          performing?

                         How do my audiences behave through
                          digital channels?

                         And…HELP! I don’t know what my data is
                          telling me, and I need to understand it.




0, 1, 1, 2, 3,       5,      8,      13,          21,                34,   55,
Insight over Instinct

          The most effective organisations are those that analyse their customer and
           business performance data to improve and evolve their business.




                                                                  Source: MIT, 2010.



          The most successful businesses in all sectors in 2015 will be data-led and who use
          it to understand customers and drive actionable insight


0, 1, 1, 2, 3,   5,   8,   13,     21,           34,                       55,
The future is data, social & multiplatform




           Q. How prepared /unprepared is your organisation for the following upcoming trends over the next 5 years?

           4 out of 5 CMOs anticipate a high/very high level of data complexity over
0, 1, 1,the 3, 5, 5 8,
         2, next    years,13, only 21, felt ready to handle it.
                           but      half                               Source: Econsultancy, Oct 2011
                                               34,                 55,
How do these trends
                      affect telly?



0, 1, 1, 2, 3,   5,   8,   13,   21,   34,   55,
Digital and Multiplatform is changing TV
       consumption


      “Viewers may be watching [TV] in          The first episode of Sherlock was the most-
      different ways, with laptops on their     requested show ever in a 24 hour period on
      knee or twittering via tablets, but it    the BBC iPlayer as the VoD service posted its
      seems they are still watching it.         highest-ever month in December with a total
                                                of 187m requests.
      And recording it, by jingo. In
      2011…peaktime viewing increased
      after recording by…7.5%.”

      Stephen Price, Broadcast, Review of
      2011, Jan 2012.



0, 1, 1, 2, 3,   5,   8,   13,     21,         34,                   55,
Social Media can add depth to audience
       understanding
      Social Media is part of this changing landscape.

      But Social Media can also provide large volumes of data, and
      insights, around viewer attitudes, interests, location, social
      network, influence, frequency, and even propensity to purchase.




0, 1, 1, 2, 3,   5,   8,   13,   21,   34,               55,
A Flavour of Social Media Insight -
       @chattyman




0, 1, 1, 2, 3,   5,   8,   13,   21,   34,   55,
Chatty Man has fewer viewers against more
       peak-time peers…
       Show                                   Show Viewers (most            No.         Followers (as %
                                              recent or series peak)        Followers   of viewers)
       X Factor                               16,080,000                    169,000     1%
       I’m A Celebrity                        11,430,000                    37,000      0.3%
       Strictly Come Dancing                  10,580,000                    26,000      0.2%
       Graham Norton                          3,110,000                     N/A         N/A
       Million Dollar Drop                    2,770,000                     15,000      0.5%

       Inbetweeners                           2,170,000                     840         0.04%
       Glee                                   1,610,000                     467,000 *   N/A
       ChattyMan                              1,550,000                     103,000     6.6%
       Misfits                                830,000                       30,000      3.6%
       Skins                                  820,000                       90,000      11%


                      Source: Follower data – Twitter, Viewer data – BARB
                      * Includes (v. large) US following
0, 1, 1, 2, 3,   5,   8,       13,              21,                   34,                55,
…but has strong follower volumes…
       Show                                   Show Viewers (most            No.         Followers (as %
                                              recent or series peak)        Followers   of viewers)
       Glee                                   1,610,000                     467,000 *   N/A
       X Factor                               16,080,000                    169,000     1%
       ChattyMan                              1,550,000                     103,000     6.6%
       Skins                                  820,000                       90,000      11%
       I’m A Celebrity                        11,430,000                    37,000      0.3%
       Misfits                                830,000                       30,000      3.6%
       Strictly Come Dancing                  10,580,000                    26,000      0.2%

       Million Dollar Drop                    2,770,000                     15,000      0.5%
       Inbetweeners                           2,170,000                     840         0.04%
       Graham Norton                          3,110,000                     N/A         N/A


                      Source: Follower data – Twitter, Viewer data – BARB
                      * Includes (v. large) US following
0, 1, 1, 2, 3,   5,   8,       13,              21,                   34,                55,
…so “punches above its weight” on Twitter
       Show                                   Show Viewers (most            No.         Followers (as %
                                              recent or series peak)        Followers   of viewers)
       Skins                                  820,000                       90,000      11%
       ChattyMan                              1,550,000                     103,000     6.6%
       Misfits                                830,000                       30,000      3.6%
       X Factor                               16,080,000                    169,000     1%
       Million Dollar Drop                    2,770,000                     15,000      0.5%
       I’m A Celebrity                        11,430,000                    37,000      0.3%
       Strictly Come Dancing                  10,580,000                    26,000      0.2%
       Inbetweeners                           2,170,000                     840         0.04%

       Glee                                   1,610,000                     467,000 *   N/A
       Graham Norton                          3,110,000                     N/A         N/A


                      Source: Follower data – Twitter, Viewer data – BARB
                      * Includes (v. large) US following
0, 1, 1, 2, 3,   5,   8,       13,              21,                   34,                55,
But, are these fans positive?
           Show                        Positive       Neutral          Negative     Sentiment
                                       Sentiment      Sentiment        Sentiment    Index
                                       Comments       Comments         Comments

           ChattyMan                   96             147              4            24.00
           Glee                        264            543              36           7.33
           I’m A Celebrity             54             220              8            6.75
           T4                          79             279              19           4.16
           X Factor                    103            509              25           4.12
           Graham Norton               107            493              27           3.96
           Misfits                     74             305              20           3.70

           Inbetweeners                96             435              27           3.55
           Million Dollar Drop         106            421              31           3.41
           Skins                       74             339              22           3.36
           Strictly Come Dancing       91             500              30           3.03
                 Source: SocialMention. Data for week ending 13/2/11
0, 1, 1, 2, 3,   5,   8,      13,           21,             34,                    55,
Positive sentiment continues strongly while
       off-air…
                 Show               Positive         Neutral           Negative      Sentiment
                                    Sentiment        Sentiment         Sentiment     Index
                                    Comments         Comments          Comments
                 Graham             107              493               27            3.96
                 Norton –
                 not during
                 TX
                 Graham             147              676               25            5.88
                 Norton –
                 mid show
                 Chattyman – 96                      147               4             24.00
                 not during
                 TX
                 Chattyman – 132                     108               4             33.00
                 mid show

                 Source: SocialMention. Data for week ending 13/2/11
0, 1, 1, 2, 3,   5,   8,      13,         21,              34,                     55,
…but escalates significantly during TX
                 Show               Positive         Neutral           Negative      Sentiment
                                    Sentiment        Sentiment         Sentiment     Index
                                    Comments         Comments          Comments
                 Graham             107              493               27            3.96
                 Norton –
                 not during
                 TX
                 Graham             147              676               25            5.88
                 Norton –
                 mid show
                 Chattyman – 96                      147               4             24.00
                 not during
                 TX
                 Chattyman – 132                     108               4             33.00
                 mid show

                 Source: SocialMention. Data for week ending 13/2/11
0, 1, 1, 2, 3,   5,   8,      13,         21,              34,                     55,
How do other industries use “big
                      data”?



0, 1, 1, 2, 3,   5,    8,   13,   21,   34,   55,
Using location data to increase conversion




0, 1, 1, 2, 3,   5,   8,   13,   21,   34,   55,
Data is power




                      "We are looking for Predictive Modeling/Data Mining
                      Scientists and Analysts, at both the senior and junior
                      level, to join our department through November 2012 at
                      our Chicago Headquarters,” read the ad.

                      "We are a multi-disciplinary team of statisticians,
                      predictive modelers, data mining experts,
                      mathematicians, software developers, general
                      analysts and organizers -all striving for a single goal:
                      re-electing President Obama."

0, 1, 1, 2, 3,   5,    8,       13,           21,                34,             55,   Source: Econsultancy, Feb 2012
How “big data” is changing TV




0, 1, 1, 2, 3,   5,   8,   13,   21,   34,   55,
How “big data” is changing TV




0, 1, 1, 2, 3,   5,   8,   13,   21,   34,   55,
Social TV Tips

       Embrace social data to inform your strategies – it’s your friend.
       If you don’t look to understand your audience’s interests and
        likelihood to purchase, someone else will.
       Consider how to build a platform to incorporate social data
       Consider how you can harness dual screening audiences to
        create value
              What’s the value of a retweet?
              How influential is the audience?
       Prove the value, don’t believe the hype




0, 1, 1, 2, 3,   5,   8,   13,   21,         34,       55,
THANK YOU!

                      david.ellis@station10.co.uk




0, 1, 1, 2, 3,   5,    8,    13,     21,        34,   55,

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Talking Telly: Station 10 on measurement and analytics

  • 1. Talking Telly Or how social media is changing how to prove the value of TV 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 2. Who are Station10?  Multiplatform data, insight and optimisation experts  We prove the true business value of your programmes, and help to optimise that performance  We answer questions like:  What is the value of my multiplatform audiences?  How is my Social Media activity performing?  How do my audiences behave through digital channels?  And…HELP! I don’t know what my data is telling me, and I need to understand it. 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 3. Insight over Instinct  The most effective organisations are those that analyse their customer and business performance data to improve and evolve their business. Source: MIT, 2010. The most successful businesses in all sectors in 2015 will be data-led and who use it to understand customers and drive actionable insight 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 4. The future is data, social & multiplatform Q. How prepared /unprepared is your organisation for the following upcoming trends over the next 5 years?  4 out of 5 CMOs anticipate a high/very high level of data complexity over 0, 1, 1,the 3, 5, 5 8, 2, next years,13, only 21, felt ready to handle it. but half Source: Econsultancy, Oct 2011 34, 55,
  • 5. How do these trends affect telly? 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 6. Digital and Multiplatform is changing TV consumption “Viewers may be watching [TV] in The first episode of Sherlock was the most- different ways, with laptops on their requested show ever in a 24 hour period on knee or twittering via tablets, but it the BBC iPlayer as the VoD service posted its seems they are still watching it. highest-ever month in December with a total of 187m requests. And recording it, by jingo. In 2011…peaktime viewing increased after recording by…7.5%.” Stephen Price, Broadcast, Review of 2011, Jan 2012. 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 7. Social Media can add depth to audience understanding Social Media is part of this changing landscape. But Social Media can also provide large volumes of data, and insights, around viewer attitudes, interests, location, social network, influence, frequency, and even propensity to purchase. 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 8. A Flavour of Social Media Insight - @chattyman 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 9. Chatty Man has fewer viewers against more peak-time peers… Show Show Viewers (most No. Followers (as % recent or series peak) Followers of viewers) X Factor 16,080,000 169,000 1% I’m A Celebrity 11,430,000 37,000 0.3% Strictly Come Dancing 10,580,000 26,000 0.2% Graham Norton 3,110,000 N/A N/A Million Dollar Drop 2,770,000 15,000 0.5% Inbetweeners 2,170,000 840 0.04% Glee 1,610,000 467,000 * N/A ChattyMan 1,550,000 103,000 6.6% Misfits 830,000 30,000 3.6% Skins 820,000 90,000 11% Source: Follower data – Twitter, Viewer data – BARB * Includes (v. large) US following 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 10. …but has strong follower volumes… Show Show Viewers (most No. Followers (as % recent or series peak) Followers of viewers) Glee 1,610,000 467,000 * N/A X Factor 16,080,000 169,000 1% ChattyMan 1,550,000 103,000 6.6% Skins 820,000 90,000 11% I’m A Celebrity 11,430,000 37,000 0.3% Misfits 830,000 30,000 3.6% Strictly Come Dancing 10,580,000 26,000 0.2% Million Dollar Drop 2,770,000 15,000 0.5% Inbetweeners 2,170,000 840 0.04% Graham Norton 3,110,000 N/A N/A Source: Follower data – Twitter, Viewer data – BARB * Includes (v. large) US following 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 11. …so “punches above its weight” on Twitter Show Show Viewers (most No. Followers (as % recent or series peak) Followers of viewers) Skins 820,000 90,000 11% ChattyMan 1,550,000 103,000 6.6% Misfits 830,000 30,000 3.6% X Factor 16,080,000 169,000 1% Million Dollar Drop 2,770,000 15,000 0.5% I’m A Celebrity 11,430,000 37,000 0.3% Strictly Come Dancing 10,580,000 26,000 0.2% Inbetweeners 2,170,000 840 0.04% Glee 1,610,000 467,000 * N/A Graham Norton 3,110,000 N/A N/A Source: Follower data – Twitter, Viewer data – BARB * Includes (v. large) US following 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 12. But, are these fans positive? Show Positive Neutral Negative Sentiment Sentiment Sentiment Sentiment Index Comments Comments Comments ChattyMan 96 147 4 24.00 Glee 264 543 36 7.33 I’m A Celebrity 54 220 8 6.75 T4 79 279 19 4.16 X Factor 103 509 25 4.12 Graham Norton 107 493 27 3.96 Misfits 74 305 20 3.70 Inbetweeners 96 435 27 3.55 Million Dollar Drop 106 421 31 3.41 Skins 74 339 22 3.36 Strictly Come Dancing 91 500 30 3.03 Source: SocialMention. Data for week ending 13/2/11 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 13. Positive sentiment continues strongly while off-air… Show Positive Neutral Negative Sentiment Sentiment Sentiment Sentiment Index Comments Comments Comments Graham 107 493 27 3.96 Norton – not during TX Graham 147 676 25 5.88 Norton – mid show Chattyman – 96 147 4 24.00 not during TX Chattyman – 132 108 4 33.00 mid show Source: SocialMention. Data for week ending 13/2/11 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 14. …but escalates significantly during TX Show Positive Neutral Negative Sentiment Sentiment Sentiment Sentiment Index Comments Comments Comments Graham 107 493 27 3.96 Norton – not during TX Graham 147 676 25 5.88 Norton – mid show Chattyman – 96 147 4 24.00 not during TX Chattyman – 132 108 4 33.00 mid show Source: SocialMention. Data for week ending 13/2/11 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 15. How do other industries use “big data”? 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 16. Using location data to increase conversion 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 17. Data is power "We are looking for Predictive Modeling/Data Mining Scientists and Analysts, at both the senior and junior level, to join our department through November 2012 at our Chicago Headquarters,” read the ad. "We are a multi-disciplinary team of statisticians, predictive modelers, data mining experts, mathematicians, software developers, general analysts and organizers -all striving for a single goal: re-electing President Obama." 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, Source: Econsultancy, Feb 2012
  • 18. How “big data” is changing TV 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 19. How “big data” is changing TV 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 20. Social TV Tips  Embrace social data to inform your strategies – it’s your friend.  If you don’t look to understand your audience’s interests and likelihood to purchase, someone else will.  Consider how to build a platform to incorporate social data  Consider how you can harness dual screening audiences to create value  What’s the value of a retweet?  How influential is the audience?  Prove the value, don’t believe the hype 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,
  • 21. THANK YOU! david.ellis@station10.co.uk 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55,