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Faster, lighter, 
brighter 
Real-time insights to answer real world 
questions 
Philip Lynch 
Kantar Media News Intelligence
© 2014 Kantar Media 2 
Today’s Session 
This man talks about how the demand for 
information is moving to real time. How 
can we deliver rapid insights to manage 
campaigns and to improve impact? 
Then… 
We talk together about the pressures of 
managing communications in real time, 
and how faster data can support decision 
making. 
Philip Lynch – Director of Media 
Evaluation 
Works For: Diageo, Unilever, IOC, 
GSK, Airbus Group
© 2014 Kantar Media 3 
Today’s Session 
Faster – at the same speed as the conversation. Deliver insights to 
optimise campaigns, not to audit them. 
Brighter – illuminate outcomes. Make recommendations clear and 
actionable. 
Lighter – targeted data. Make the 
focus of analysis relevant to the question.
© 2014 Kantar Media 4 
A New Journey Into Media Analysis
© 2014 Kantar Media 5 
What is the most important indicator for a new movie? 
The opening weekend box office $ 
Could media data help film studios run better release campaigns? 
We think so 
Pressure to get it right must be huge? 
Absolutely 
This is our take on a movie’s opening weekend – with faster, lighter research
© 2014 Kantar Media 6 
Decisions linked to success of WOM 
Does the movie need more or less advertising support? 
Investment in which media platforms delivers the best uplift in awareness? 
Do potential new audiences become real new audiences?
Real time analysis of the power of word of mouth 
18k Foursquare Check-ins 
© 2013 Kantar Media 7 
209kTwitter posts 
GoogleSearch Data 
$80M of ad spend 
1200+ features in newspapers and magazines 
Segmentationof consumers who would see the movie, or had seen 
the movie
25000 
20000 
15000 
10000 
5000 
0 
Star Date 17 May 2013: Advertising investment reaches a peak 
immediately before the opening weekend, as ads saturate the national 
networks. 
The grey line shows earned media publicity arriving in force, just ahead 
of opening weekend. 
© 2014 Kantar Media 8 
1000 
900 
800 
700 
600 
500 
400 
300 
200 
100 
0 
Earned Media Ad Spend
25000 
20000 
15000 
10000 
5000 
0 
Now we take the advertising and PR and add a third dimension – the 
buzz in social media. The yellow line shows a high level of social 
amplification – let’s find out if this is genuine interest in seeing the 
movie... 
© 2013 Kantar Media 9 
1000 
900 
800 
700 
600 
500 
400 
300 
200 
100 
0 
Google Search Earned Media Social Buzz Ad Spend
25000 
20000 
15000 
10000 
5000 
0 
We isolate all expressions of intention to see the movie and there is a 
very strong correlation with overall trends in buzz. 
© 2014 Kantar Media 10 
1000 
900 
800 
700 
600 
500 
400 
300 
200 
100 
0 
Let’s measure how intention becomes action... 
Going to See Social Buzz
3500 
3000 
2500 
2000 
1500 
1000 
500 
0 
The green line measures check-ins made on foursquare once the 
audience is at the cinema. 
© 2014 Kantar Media 11 
1000 
900 
800 
700 
600 
500 
400 
300 
200 
100 
0 
Going to See Foursquare checkins
3500 
3000 
2500 
2000 
1500 
1000 
500 
0 
So, the audience has checked in and watches the movie. This crowd is 
now our post-exposure group. As the credits roll, they reach for their 
iPhones. They are about to give a big collective thumbs up, or thumbs 
down. Let’s see the verdict... 
© 2013 Kantar Media 12 
Foursquare checkins I Saw
© 2013 Kantar Media 13 
“I have seen...” 
Negative 
“I have seen...” Positive 
“I’m going to see...” Neutral
2500 
2000 
1500 
1000 
500 
© 2013 Kantar Media 14 
• 250% uplift in buzz 
• Viewers x3 more likely 
to post a comment after 
the show 
• Four out of every five 
recommendations 
positive 
0 
120 
100 
80 
60 
40 
20 
0 
Post-Exposure 
Positive Negative Google Search Going to See I Saw
2500 
2000 
1500 
1000 
500 
0 
© 2013 Kantar Media 15 
120 
100 
80 
60 
40 
20 
0 
Recommendation Meets Search 
Google Search Going to See I Saw 
• 250% uplift in buzz 
• Viewers x3 more likely 
to post a comment after 
the show 
• Four out of every five 
recommendations 
positive 
Post-Exposure 
Positive Negative
© 2014 Kantar Media 16 
WOM Outcomes 
• Amplification of Awareness and Recommendation 
• Intention to see the movie 
• Search demand for reviews 
• Strong Supply of Positive Reviews and Recommendation 
• Strong Social Impact 
Large number of Sources (Amplification 250%) 
Strength of Message (84% Positive) 
Immediacy (Real time review updates)
© 2014 Kantar Media 17 
You can measure this stuff without breaking the bank 
Define your objective 
Keep data selection relevant to your objective 
Focus your analysis on elements you can change 
“Marketers want a full picture of what’s really 
happening to their brand, right now. And they want 
to know in time to do something about it.” 
Kirk Ward 
TNS
Philip Lynch 
Philip.lynch@kantarmedia.com 
www.kantarmedia.com

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Faster, lighter, brighter - Philip Lynch, Kantar Media

  • 1. Faster, lighter, brighter Real-time insights to answer real world questions Philip Lynch Kantar Media News Intelligence
  • 2. © 2014 Kantar Media 2 Today’s Session This man talks about how the demand for information is moving to real time. How can we deliver rapid insights to manage campaigns and to improve impact? Then… We talk together about the pressures of managing communications in real time, and how faster data can support decision making. Philip Lynch – Director of Media Evaluation Works For: Diageo, Unilever, IOC, GSK, Airbus Group
  • 3. © 2014 Kantar Media 3 Today’s Session Faster – at the same speed as the conversation. Deliver insights to optimise campaigns, not to audit them. Brighter – illuminate outcomes. Make recommendations clear and actionable. Lighter – targeted data. Make the focus of analysis relevant to the question.
  • 4. © 2014 Kantar Media 4 A New Journey Into Media Analysis
  • 5. © 2014 Kantar Media 5 What is the most important indicator for a new movie? The opening weekend box office $ Could media data help film studios run better release campaigns? We think so Pressure to get it right must be huge? Absolutely This is our take on a movie’s opening weekend – with faster, lighter research
  • 6. © 2014 Kantar Media 6 Decisions linked to success of WOM Does the movie need more or less advertising support? Investment in which media platforms delivers the best uplift in awareness? Do potential new audiences become real new audiences?
  • 7. Real time analysis of the power of word of mouth 18k Foursquare Check-ins © 2013 Kantar Media 7 209kTwitter posts GoogleSearch Data $80M of ad spend 1200+ features in newspapers and magazines Segmentationof consumers who would see the movie, or had seen the movie
  • 8. 25000 20000 15000 10000 5000 0 Star Date 17 May 2013: Advertising investment reaches a peak immediately before the opening weekend, as ads saturate the national networks. The grey line shows earned media publicity arriving in force, just ahead of opening weekend. © 2014 Kantar Media 8 1000 900 800 700 600 500 400 300 200 100 0 Earned Media Ad Spend
  • 9. 25000 20000 15000 10000 5000 0 Now we take the advertising and PR and add a third dimension – the buzz in social media. The yellow line shows a high level of social amplification – let’s find out if this is genuine interest in seeing the movie... © 2013 Kantar Media 9 1000 900 800 700 600 500 400 300 200 100 0 Google Search Earned Media Social Buzz Ad Spend
  • 10. 25000 20000 15000 10000 5000 0 We isolate all expressions of intention to see the movie and there is a very strong correlation with overall trends in buzz. © 2014 Kantar Media 10 1000 900 800 700 600 500 400 300 200 100 0 Let’s measure how intention becomes action... Going to See Social Buzz
  • 11. 3500 3000 2500 2000 1500 1000 500 0 The green line measures check-ins made on foursquare once the audience is at the cinema. © 2014 Kantar Media 11 1000 900 800 700 600 500 400 300 200 100 0 Going to See Foursquare checkins
  • 12. 3500 3000 2500 2000 1500 1000 500 0 So, the audience has checked in and watches the movie. This crowd is now our post-exposure group. As the credits roll, they reach for their iPhones. They are about to give a big collective thumbs up, or thumbs down. Let’s see the verdict... © 2013 Kantar Media 12 Foursquare checkins I Saw
  • 13. © 2013 Kantar Media 13 “I have seen...” Negative “I have seen...” Positive “I’m going to see...” Neutral
  • 14. 2500 2000 1500 1000 500 © 2013 Kantar Media 14 • 250% uplift in buzz • Viewers x3 more likely to post a comment after the show • Four out of every five recommendations positive 0 120 100 80 60 40 20 0 Post-Exposure Positive Negative Google Search Going to See I Saw
  • 15. 2500 2000 1500 1000 500 0 © 2013 Kantar Media 15 120 100 80 60 40 20 0 Recommendation Meets Search Google Search Going to See I Saw • 250% uplift in buzz • Viewers x3 more likely to post a comment after the show • Four out of every five recommendations positive Post-Exposure Positive Negative
  • 16. © 2014 Kantar Media 16 WOM Outcomes • Amplification of Awareness and Recommendation • Intention to see the movie • Search demand for reviews • Strong Supply of Positive Reviews and Recommendation • Strong Social Impact Large number of Sources (Amplification 250%) Strength of Message (84% Positive) Immediacy (Real time review updates)
  • 17. © 2014 Kantar Media 17 You can measure this stuff without breaking the bank Define your objective Keep data selection relevant to your objective Focus your analysis on elements you can change “Marketers want a full picture of what’s really happening to their brand, right now. And they want to know in time to do something about it.” Kirk Ward TNS