Archive for the ‘Data Analysis & Analytics’ Category
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…)
Tags: bias, Internet, Market Research, Online Surveys, Sampling, statistics, Survey Design
Posted in Data Analysis & Analytics, Data Collection, Market Research, Online Surveys, Resources and Recommendations, Sampling, Survey Design | No Comments »
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…)
Tags: Market Research, visualizing data
Posted in Charts and Data Visualization, Data Analysis & Analytics, Future Trends, Market Research, Methods & Tools, Presenting Research | No Comments »
Thursday, December 1st, 2011
Over the last few years we have wondered whether spreadsheet software like Excel will soon make statistics software like SPSS or SAS obsolete.
Spreadsheets have amazingly powerful and often intuitive capabilities. They have many of the statistical functions we use every day. Younger people entering our profession rarely know programs like SPSS or SAS, and we see them turning to Excel to generate frequencies, calculate means and proportions, create charts from data, and so on. The same goes for our customers. Many do not have statistical software, so when they need numbers and statistics, they often work in Excel.
But Versta Research continues to invest in advanced statistical software rather than doing our work in Excel for three important reasons: (more…)
Tags: analytics, software packages, statistics
Posted in Charts and Data Visualization, Data Analysis & Analytics, Future Trends, Market Research, Methods & Tools | No Comments »
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…)
Tags: conjoint, Market Research, MaxDiff, Survey Design
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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:
(more…)
Tags: analytics, communication, data, insight, Market Research, stories, tracking studies
Posted in Data Analysis & Analytics, Data Collection, Future Trends, Market Research, Turning Data into Stories | No Comments »
Thursday, October 13th, 2011
Many of us have uneasy feelings when reading statistics that presumably apply to ourselves and our own lives. Often the statistics do not seem to “fit” and seem to misrepresent the lives of real people from which the statistics are derived. It is with good reason that we chuckle when someone tells us that the average U.S. household has 0.64 children in it.
We were reminded of this upon hearing prominent news reports a few days ago that the average household income in the U.S. has fallen by about 10% in the past decade, most of it happening since the start of the recession four years ago. But does that mean most Americans’ incomes are falling? No. Though it is hard not to think so given how the data are being presented and reported.
(more…)
Tags: communication, data, Public Polls, statistics
Posted in Data Analysis & Analytics, Presenting Research, Public Polls, Turning Data into Stories | No Comments »
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.
(more…)
Tags: conjoint, Market Research, segmentation
Posted in Charts and Data Visualization, Data Analysis & Analytics, Market Research, Methods & Tools, New Products and Innovation, Presenting Research | No Comments »
Wednesday, August 31st, 2011
Monty Hall in Let's Make A Deal
The hardest part of quantitative market research is not that it involves numbers, math, or even statistics, but that it involves complex problems in probability.
Over the past several years, psychologists have been documenting how difficult it is for us humans to solve even “simple” probability problems. One fascinating example is a puzzle known as the Monty Hall dilemma based on the 1960’s game show Let’s Make A Deal. Monty would offer his contestants three doors to choose from, one of which had a valuable prize behind it. After the contestant chose, Monty would open one of the other two doors, deliberately choosing one that had no prize behind it. Then he offered the contestant an option of staying with the original choice, or switching to the other unopened door. Which should the contestant do? (more…)
Tags: conjoint, data, Market Research, mathematics, Sampling, statistics, stories
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Thursday, July 28th, 2011
An issue we continually struggle with at Versta Research is how to automate the research process and leverage new technologies without losing the essence of what good research does. Good research does not report data, build charts, or generate dashboards. It learns, answers new questions, interprets data, and helps users focus on information and findings that are relevant to their needs.
The last couple of weeks we have been working with a group that specializes in coding and tabulating text responses to open-ended questions on surveys. They have tools and technology that undoubtedly make the process easier and more efficient (we have used those tools, and they are impressive). They are also have a singular focus and expertise that is supposed to help streamline the process, cut costs, and improve speed and efficiency.
The results have been mediocre at best, even with human coders working the technology and making the critical decisions. (more…)
Tags: data, insight, Market Research, open-ends, qualitative research., survey technology
Posted in Data Analysis & Analytics, Future Trends, Market Research, Methods & Tools | 2 Comments »
Thursday, July 14th, 2011
How statistics are calculated and presented has a huge effect on how audiences interpret information and make decisions. A recent study about medical decisions based on drug efficacy data highlights the critical importance of how you turn your data into stories, no matter what industry. The research shows that different stories, all of them true and all of them based on the same data will lead to sharply different assessments and decisions. An article in the New York Times summarized one scenario tested by the researchers:
If your doctor tells you that highly reliable studies have shown that taking a certain pill will cut your risk of getting a serious disease in half, would you take it?
Suppose he adds that the risk is 2 percent for people who do not take the pill, but your risk will be reduced to 1 percent if you do. Would you still take it? And what would you do if he told you that only one of every 100 patients who take the drug will actually benefit from it?
The doctor could have said any of these things, all truthfully, because they are just different ways of describing the same data. (more…)
Tags: communication, data, Market Research, research, stories, visualizing data
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