Posts Tagged ‘Market Research’

Webinar on Polling for News and PR

Tuesday, January 24th, 2012

Election years are a perfect time to learn about (and brush up on) the fundamentals of survey research.  Not only are the airwaves inundated with public opinion polling, but methodological experts are called upon to talk about developments and current best practices as new technologies and methods become central to measuring consumer and public opinion and behavior.

This week the Poynter Institute is offering a webinar of particular interest for PR professionals, whether or not you care about political polls.  We also recommend it for any marketing professional because this type of polling is an exemplar of what all marketing research tries to achieve in measuring what people think and what they are likely to do. (more…)

Just Published: Handbook of Web Surveys

Wednesday, January 18th, 2012

Many of us in marketing research have been deploying web surveys for over ten years, and web surveys are, by far, the dominant mode of data collection in our industry nowadays.  But our techniques and methods are an amalgam of practices adapted from other data collection modes, learned in part through trial and error, and taught to others through channels more akin to oral traditions.  So it is helpful when our academic colleagues manage to document and codify the art and science of what we do. (more…)

Focus Groups Save Spider-Man!

Wednesday, January 11th, 2012

In last year’s cliffhanger episode of “Can a Focus Group Save Spider-Man?” we pondered whether market research was powerful enough to save a Broadway show from doom and destruction.  After crushing reviews from theater critics, the producers hired a market research firm to help them rewrite the show.

Guess what?  It worked.  (more…)

A Path to Better Research with Geo-Maps

Wednesday, January 4th, 2012

Given how common mapping capabilities have become via the Internet and smartphones, it is surprising that we don’t see more geographic mapping in market research.  Researchers nearly always look at customer demographics, and a key component of a person’s demographic profile is where he or she lives.  This data is far more compelling if you can present it visually with maps.

It does not take super fancy (and expensive) mapping software or specialized firms to create accurate, useful, and compelling maps from market research data.  We recently created maps for a client showing where in a three-county region their best customers lived.  Everything we used to make these maps was free and publicly available for download on the Internet.  Here are the steps we used: (more…)

42 Smart Applications of Marketing Research

Thursday, December 15th, 2011

We recently received and reviewed an excellent book summarizing practical findings from academic marketing research.  It is called Consumer Insights: Findings from Behavioral Research. It is published by the Marketing Science Institute and we highly recommend it.  Why is it so good and useful for corporate researchers and marketers?

  • It provides a quick overview of what we know in various areas of marketing
  • It is organized into 42 useful topics, most of which are relevant to nearly all marketers
  • Each topic provides universal findings based on research from hundreds of studies, not just one or two
  • Each topic/chapter is short and to the point (just two or three pages)
  • Each topic outlines insights, the evidence base, and managerial implications

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The Problem with MaxDiff

Thursday, November 3rd, 2011

MaxDiff is a powerful method and it is increasingly popular among market researchers.  But it is not always the best choice for measuring the importance of attributes, and here’s why.

Suppose you want to measure the importance of 12 attributes for a new product or service.  If you know ahead of time that consumers are going to say that all 12 are extremely important to them, then MaxDiff is an excellent method for differentiating among the attributes so you can focus on the top two or three that matter most.

But what if you don’t know that all 12 attributes are extremely important?  Maybe none of them are.  Maybe they run the gamut from unimportant to extremely important.  The problem with MaxDiff is that it only tells you the importance of attributes relative to each other, but it won’t tell you whether the attributes are important.  The MaxDiff model will assign ratio-level numbers so that you can rank and quantify the importance of each attribute vis-à-vis the others.  But it will not anchor the attributes in a meaningful way. (more…)

14 New Findings: Consumer Finance Research

Wednesday, October 26th, 2011

Having migrated from the world of academia to market research ten years ago, I appreciate the patience and care with which my academic colleagues pursue basic research without knowing for sure how (or whether) it will be used in the real world.

But I can tell them this:  It does get used, so keep doing it.  It allows people like me to bring new insights and new levels of rigor to the practical and sometimes urgent research questions that our customers need to have answered.

The Journal of Marketing Research has just published a special interdisciplinary issue on Consumer Financial Decision Making.  It is hot off the press, so we have yet to read it all.  But in the coming weeks we’ll be reading, reviewing, and using the findings in these articles to bring deeper insight to the work that we do for our customers.

In the meantime, here are the article titles, with links to the authors’ summaries, from the special issue of JMR that focuses on research in consumer finance: (more…)

Nielsen’s Legacy: Tons of Data

Thursday, October 20th, 2011

Earlier this month Arthur C. Nielsen, Jr. died.  He left behind a giant and reputable market research company and a brand name recognized throughout the world.  The A.C. Nielsen company was started by his father and in its early years tracked the sales of goods through grocery and drug stores.  The company then moved into media tracking and became the authoritative source for measuring audience size and demographics.  Nearly every company with an advertising budget continues to rely on Nielsen data to determine where to advertise and how much to spend.

Nielsen’s legacy is that he demonstrated the value of collecting and tracking data, and lots of it.  Every item we purchase is now logged, counted, and tracked.  Every television and radio show is tracked for how many viewers it has and in what markets they live.  And of course everything we do on the Internet is recorded and tracked.  Even our bodily locations are tracked via GPS or cell phone signals.  Most market research firms today generate the bulk of their revenue simply by collecting, tracking, tabulating, and reporting data.

This important legacy has left us with tons of data, growing at an exponential rate,  and a monumental challenge of how to synthesize it and move beyond mere tabulation and reporting.  The question is, how do we meet that challenge and take Nielsen’s legacy to the next frontier?  In our view, it will involve two key efforts:

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Using Avatars & Robots for Survey Research

Thursday, September 22nd, 2011

Two researchers at the U.S. Census Bureau recently outlined an emerging innovation in survey research that could reverse the trend towards passive, boring, self-administered surveys that characterizes much online research.  The idea is to use internet avatars in real-time interviewing with survey respondents.

Beyond just the heightened interest of having an animated survey, the avatars would be programmed to register and interpret respondents’ verbal answers, facial expressions, and body language through webcams.

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A Better Way to Scale MaxDiff Utilities

Thursday, September 15th, 2011

MaxDiff is a survey method used to measure the importance of product features.  Subsets of features are presented, and respondents are asked to select which feature is most important and which feature is least important.  Its advantage over other techniques is that by forcing a choice from among multiple features, it more strongly differentiates the features if customers are prone to say that all features are important or attractive.

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