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David Ellis, from Station 10, talks about how social media is changing the way we prove the value of TV.
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Talking Telly Or how social media is changing how to prove the value of TV
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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.
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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
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The future is data, social & multiplatform
4 out of 5 CMOs anticipate a high/very high level of data complexity over the next 5 years, but only half felt ready to handle it. Source: Econsultancy, Oct 2011
Q. How prepared /unprepared is your organisation for the following upcoming trends over the next 5 years?
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How do these trends affect telly?
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Digital and Multiplatform is changing TV
consumption
“Viewers may be watching [TV] in different ways, with laptops on their knee or twittering via tablets, but it seems they are still watching it.
And recording it, by jingo. In 2011…peaktime viewing increased after recording by…7.5%.”
Stephen Price, Broadcast, Review of 2011, Jan 2012.
The first episode of Sherlock was the most-requested show ever in a 24 hour period on the BBC iPlayer as the VoD service posted its highest-ever month in December with a total of 187m requests.
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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.
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A Flavour of Social Media Insight -
@chattyman
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Chatty Man has fewer viewers against more
peak-time peers… Show Show Viewers (most
recent or series peak) No. Followers
Followers (as % 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
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…but has strong follower volumes…
Show Show Viewers (most recent or series peak)
No. Followers
Followers (as % 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
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…so “punches above its weight” on Twitter
Show Show Viewers (most recent or series peak)
No. Followers
Followers (as % 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
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But, are these fans positive? Show Positive
Sentiment Comments
Neutral Sentiment Comments
Negative Sentiment Comments
Sentiment Index
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
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Positive sentiment continues strongly while
off-air… Show Positive
Sentiment Comments
Neutral Sentiment Comments
Negative Sentiment Comments
Sentiment Index
Graham Norton – not during TX
107 493 27 3.96
Graham Norton – mid show
147 676 25 5.88
Chattyman – not during TX
96 147 4 24.00
Chattyman – mid show
132 108 4 33.00
Source: SocialMention. Data for week ending 13/2/11
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…but escalates significantly during TX
Show Positive Sentiment Comments
Neutral Sentiment Comments
Negative Sentiment Comments
Sentiment Index
Graham Norton – not during TX
107 493 27 3.96
Graham Norton – mid show
147 676 25 5.88
Chattyman – not during TX
96 147 4 24.00
Chattyman – mid show
132 108 4 33.00
Source: SocialMention. Data for week ending 13/2/11
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How do other industries use “big data”?
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Using location data to increase conversion
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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."
Source: Econsultancy, Feb 2012
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How “big data” is changing TV
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How “big data” is changing TV
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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