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Research Methodologies
April 2, 2015
Two out of the top 3 trends in market research repeatedly reported by Greenbook’s GRIT report are social listening and online communities.
By Michalis Michael
Two out of the top 3 trends in market research repeatedly reported by Greenbook’s GRIT report are social listening and online communities. The third is mobile research which, being a method of collecting data for surveys, can be part of online communities anyway.
We have written about private online communities and social media listening separately many times before, but this blog post is dedicated to the power of integrating the two disciplines.
Back in February, the CEO of Kantar Research Eric Salama spoke at the Insight Innovation Exchange conference in Amsterdam, about his view of the future of market research. One of the concepts that stuck with me was that in the future, market research will be divided in “learning applications” and “action applications”. My interpretation of these two types of apps is that the former is pure market research as we know it, and the latter are adjacent marketing activities that today are not governed by the ESOMAR or the MRS code of conduct. Examples of action applications are programmatic advertising, customer advocacy, and agile customer engagement.
Two of the following three ways to integrate social listening and online community platforms are action applications, and one is a learning application. Let’s see if you agree that 1+1 will equal more than 2 in these three cases:
Connecting the dots is a very powerful notion in market research. As shared on this blog several times, we firmly believe that a true business insight is more likely to be the result of synthesizing data from multiple sources as opposed to analysing a (small) data-set to death. The insights expert is a necessary part of this equation (1+1=3). There is also a new breed of a human skill-set that is becoming more and more an integral part of those market research agencies that “get it”; it is the data scientist who is among other things a machine learning specialist not daunted by tera-, peta-, hexa or zeta-bytes.
Thoughts?
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The views, opinions, data, and methodologies expressed above are those of the contributor(s) and do not necessarily reflect or represent the official policies, positions, or beliefs of Greenbook.
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