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The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of
Research & Analytics
Ray Poynter
The Future Place / NewMR
BAQMaR, Ghent
November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
2014
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
Mobile First!
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
Qual
Conventional Connecting
Participant
‘On the
Shoulder’
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
Survey Compatibility
Source: Research Now panels, US, July 2015
28%
18%
18%
37%
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
How Many Cereals?
How many boxes of cereal do
you have at home?
• 0
• 1
• 2
• 3
• 4
• 5
• 6
• 7
• 8
• 9
• 10 or more
Example from MMR
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
Kingsgate Shopping Mall
Huddersfield, Yorkshire (UK)
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
Informed
Consent
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
R1 Photo + GPS location
R1 Email including Photo and GPS
R1 GPS tracked journey
R2 Video
R1 Tweet of of Photo
R2 FB uploads video
R1 watches R2’s video
R3 Retweets R1’s Tweet
R3 Whatsapp a message to R1 and R2, capturing time and location of message
R1 Reads Whatsapp message from R3, capturing time and location of message
R2 Plays a game, Flurry captures what else is running on the phone and background
:
:
:
What shape is market research data? Especially Quant Data?
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
Image from Viking I,
1976 Mars
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
I used to think correlation implied
causation, then I went on a course
and now I don’t
So, the course helped
then?
Not necessarily.
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
Experiment
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
Marketing
MR
Project
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
7 Things to Watch
1. Voice recognition
2. Web messaging
3. More location tools: WiFi, cell tower, GPS, beacon, RFID,
Bluetooth and more
4. Biometrics, facial coding, voice analysis
5. Android panel of 1 Billion
6. Passive media monitoring via smartphone
7. Single source data – including smartphone
The Mobile Future of Research & Analytics
Ray Poynter, BAQMaR, November 2015
Thank You!
Questions/Discussion

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Ray Poynter - Keynote: The Mobile Future of Research & Analytics

  • 1. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 The Mobile Future of Research & Analytics Ray Poynter The Future Place / NewMR BAQMaR, Ghent November 2015
  • 2. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 2014
  • 3. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 Mobile First!
  • 4. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 Qual Conventional Connecting Participant ‘On the Shoulder’
  • 5. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 Survey Compatibility Source: Research Now panels, US, July 2015 28% 18% 18% 37%
  • 6. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 7. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 8. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 9. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 How Many Cereals? How many boxes of cereal do you have at home? • 0 • 1 • 2 • 3 • 4 • 5 • 6 • 7 • 8 • 9 • 10 or more Example from MMR
  • 10. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 11. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 12. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 13. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 Kingsgate Shopping Mall Huddersfield, Yorkshire (UK)
  • 14. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 15. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 Informed Consent
  • 16. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 17. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 18. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 R1 Photo + GPS location R1 Email including Photo and GPS R1 GPS tracked journey R2 Video R1 Tweet of of Photo R2 FB uploads video R1 watches R2’s video R3 Retweets R1’s Tweet R3 Whatsapp a message to R1 and R2, capturing time and location of message R1 Reads Whatsapp message from R3, capturing time and location of message R2 Plays a game, Flurry captures what else is running on the phone and background : : : What shape is market research data? Especially Quant Data?
  • 19. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 Image from Viking I, 1976 Mars
  • 20. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 21. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 22. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 23. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 I used to think correlation implied causation, then I went on a course and now I don’t So, the course helped then? Not necessarily.
  • 24. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 Experiment
  • 25. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 26. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015
  • 27. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 Marketing MR Project
  • 28. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 7 Things to Watch 1. Voice recognition 2. Web messaging 3. More location tools: WiFi, cell tower, GPS, beacon, RFID, Bluetooth and more 4. Biometrics, facial coding, voice analysis 5. Android panel of 1 Billion 6. Passive media monitoring via smartphone 7. Single source data – including smartphone
  • 29. The Mobile Future of Research & Analytics Ray Poynter, BAQMaR, November 2015 Thank You! Questions/Discussion

Editor's Notes

  1. People kept describing Mobile as the next big thing, but they also kept asking when would it arrive – well it arrived in 2014
  2. The core to surveys is mobile first, to research is mobile first, to analytics is mobile first, and to large parts of the rest of our lives.
  3. Based on the grid
  4. If your survey does not work on a smartphone change it. If your question does not work on mobile, change it.
  5. This is a Norman Door, named after Don Norman. Mobile needs to be intuitive.
  6. Qual and Quant are still different, but the nature of data we collect for qual and quant has become more similar.
  7. Thousands of shoppers have had their movements tracked in Aberdeen city centre after their smartphones were accessed to pinpoint their whereabouts. It comes after nine sensors were installed in Union Street to map people’s activity in the key shopping district. Each sensor uses a wi-fi signal to access the shopper’s unique MAC address on their mobile device. As the shopper moves around the city centre, the sensor will track the journey of the device. The information is acquired without consent of the mobile phone owner with some concerns raised about the way the data is accessed. But those behind the scheme insist there is no threat to privacy and that the identity of the shopper cannot be traced. The data collection project is being run by retail analysts Springboard for Aberdeen Inspired, which is charged with increasing the numbers of those visiting the city centre. Diane Wehrle, marketing and insights director at Springboard, said: “The data collected is completely confidential. The sensors will know when it entered the city centre, where it goes and when it leaves. “Aberdeen Inspired will know how frequently the device comes back and where it goes in the city.” She stressed that there was no information available as to who owned the mobile phone that had been tracked. Ms Wehrle said: “We don’t have access to the registration details, we only have the MAC address. We don’t know who has that MAC address. “We don’t link the data to an individual. People should not be worried or concerned.” Roughly 50,000 people a week visited Union Street over the summer months, although a more detailed picture will build up over time using the data. The sensors were fitted three months ago and are due to collect data until 2016. The tracking systems have already been used in other shopping districts across the world, including Manhattan. Similar schemes are already used in some supermarkets to monitor how people shop. Aberdeen Inspired will built up an archive of data to show which parts of the city centre are used the most, and importantly highlight the least attractive areas for users. Emma Carr, director of Big Brother Watch, said: “Shoppers will rightly be concerned to learn that their movements are being tracked in this way and it seems wholly wrong that the only way that they can currently opt out is by leaving their phone at home. “This scheme highlights how technology has made tracking us much easier and, in the rush to generate data and revenue, there is not enough of a deterrent for people to stop and ensure that people are asked to give their consent before any data is collected. “