2012 Research Predictions (The NGMR Twiteratti – Part 1)

January 2, 2012
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Last week I put out the word that I was looking for a few industry predictions for 2012. As it turns out response was so great (Looks like I’ve already received over 50) that I’ve decided to break them out into multiple posts.

Last week I put out the word that I was looking for a few industry predictions for 2012. As it turns out response was so great (Looks like I’ve already received over 50) that I’ve decided to break them out into multiple posts.

Today I’m posting the 2012 predictions from the “#NGMR Twiteratti”, those 20 who responded most quickly with their predictions. If you sent me a prediction and don’t see it here please check back during the week as I continue this series.

Neuroscience will slow down even more and another neuro company [other than Emsense] will go belly-up…[i.e.] any of the facial coding businesses


@Mike_Rodenburgh
Mike Rodenburgh
VP Product Development
Ipsos Open Thinking Exchange

Social Media Research is not just qual! 2012 will see at least 5 prominent case studies on the use of predictive models based on social media data mining

@JHenning
Jeffrey Henning
CMO Affinnova

A continued convergence of marketing and market research, or as I like to say a cross pollination of the two disciplines. I believe that buyers are going to look for more research opportunities within their marketing activities to reduce costs. Seeing it with online communities already, but I also think that the online consumer is more available to be engaged…That and the collapse of ESOMAR

@SawchukMR
Derek Sawchuk
Senior Community Consultant at Passenger

For political/public affairs research which I do: More MROC using Facebook platform & more experimentation w/ social media methodologies. Also figuring out how to conduct political research (frequent, short) on mobile. Creating panel of voters willing to engage

@christinelmatt
Christine Matthews
President, Bellwether Research

Valuable insights in analyzing collective data from multiple sources – traditional, payment, social media, qualitative

@jebbing9
Jason Ebbing
Director, Data Services at MRSI

(1) The research companies who find ways to leverage and incorporate existing data/knowledge with their primary data collection skills will flourish
(2) Increased demand for short, digestible and creative ways of presenting information to assist in getting insights ‘out there’ –
video & design skills
(3) Qualitative recruitment about finding the ’sharp point’ rather than the representative – tight specs, creative, and category engaged
(4) Diversification of methods used to engage qualitatively. Mobile before the group, video, online + face-2-face to get a fuller picture of the consumer

@GambleGamble
Victoria Gamble
Founder & Researcher
WorkINProgress

1. In a year of the US election I predict a revolution in political polling techniques driven by mobile research and social media analytics
2. We will see the emergence of some new breeds of tracking studies more game like in nature
3. Some neuro science techniques will hit the high street
4. Will see a raft of new sexier text analytics techniques hitting the headlines

@JonPuleston
Jon Puleston
VP Innovation at GMI

2012 will be the year market research begins to see the power of geolocation apps. We no longer will rely on reported behavior…with online qual we now can know how and why. With geolocation we will know where the decision takes place

@LongoMR
Jim Longo
VP Marketing
Itracks

Folks will become more savvy in their social media monitoring to uncover unmet consumer needs, deeper understanding of brand meanings, and profitable attitudinal linkages to use in marketing their brands


@MarketingLetter
Angela Hausman
Associate Professor of Marketing
Howard University

Social media is going to be integrated in more quantitative research by informing attributes, messaging, etc. I think the traditional quant tracker could get a serious face lift with SM integration


@Blythegridley
Blythe Gridley McLean
Account Manager
Bellomy Research

Social Media Research is not just qual! 2012 will see at least 5 prominent case studies on the use of predictive models based on social media data mining

0


@VirtualMR
Cathy Lanigan Harrison
Social Media Research Manager
Chadwick Martin Bailey

Social Media Research is not just qual! 2012 will see at least 5 prominent case studies on the use of predictive models based on social media data mining

1


Archana Gidwani
Chief Of Global Insights and Brand Strategy
Breakthrough Insights

Social Media Research is not just qual! 2012 will see at least 5 prominent case studies on the use of predictive models based on social media data mining

2


@SBrudvig
Susan Brudvig
Marketing Professor
Ball State University

Social Media Research is not just qual! 2012 will see at least 5 prominent case studies on the use of predictive models based on social media data mining

3


@Lennyism
Lenny Murphy
Greenbook
BrandScan360
Decooda
Kontrol
Pureprofile
InsightPool

Social Media Research is not just qual! 2012 will see at least 5 prominent case studies on the use of predictive models based on social media data mining

4


@Tomderuyck
Tom De Ruyck
Head of Research Communities
Insites Consulting

Social Media Research is not just qual! 2012 will see at least 5 prominent case studies on the use of predictive models based on social media data mining

5


@RobPetersen
Rob Petersen
President and Founder
BarnRaisers

Social Media Research is not just qual! 2012 will see at least 5 prominent case studies on the use of predictive models based on social media data mining

6


@DrTaitMartin
Tait J. Martin, Ph.D.,
President & Chief iNSiGHT Officer
The iNSiGHT Cooperative

Social Media Research is not just qual! 2012 will see at least 5 prominent case studies on the use of predictive models based on social media data mining

7

@Rhobber
Rick Hobbs
National Board of Directors
MRIA

A big thanks to everyone who responded so far!

Remember to check back again as I post more of the predictions – hopefully by category. Of course please feel free to post your own prediction here or comment on any agree or disagree with.

@TomHCAnderson