425 search results for "market research"

Generalizing from Marketing Research: The Right Question and the Correct Analysis

June 28, 2015
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Generalizing from Marketing Research: The Right Question and the Correct Analysis

The marketing researcher asks some version of the following question in every study, "Tell me what you want?" The rest is a summary of the notes taken during the ensuing conversation.Steve Jobs' quote suggests that we might do better getting a reaction...

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Maximizing Return from Every Item in the Marketing Research Questionnaire

December 3, 2013
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Maximizing Return from Every Item in the Marketing Research Questionnaire

Consumers will not complete long questionnaires, so marketing research must get the most it can from every item.  In this post, we look into the toolbox of R packages and search for statistical models that enable us to learn a great deal about eac...

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Incomplete Data by Design: Bringing Machine Learning to Marketing Research

May 6, 2013
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Incomplete Data by Design: Bringing Machine Learning to Marketing Research

Survey research deals with the problem of question wording by always asking the same question.  Thus, the Gallup Daily Tracking is filled with examples of moving averages for the exact same question asked precisely the same way every day. &nb...

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Data Analysis for Marketing Research with R Language (1)

April 22, 2013
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Data Analysis for Marketing Research with R Language (1)

Data Analysis technologies such as t-test, ANOVA, regression, conjoint analysis, and factor analysis are widely used in the marketing research areas of A/B Testing, consumer preference analysis, market segmentation, product pricing, sales driver analysis, and sales forecast etc. Traditionally the analysis tools are mainly SPSS and SAS, however, the open source R language is catching

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Choice Modeling with Features Defined by Consumers and Not Researchers

March 25, 2016
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Choice Modeling with Features Defined by Consumers and Not Researchers

Choice modeling begins with a researcher "deciding on what attributes or levels fully describe the good or service." This is consistent with the early neural networks in which features were precoded outside of the learning model. That is, choice modeli...

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CRAN: the Granddaddy of Analytical Marketplaces

February 20, 2015
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by Bill Jacobs, VP Product Marketing, Revolution Analytics I had a most interesting exchange with an industry analysis firm recently who suggested that application marketplaces were critical to the success of analytical tools, suggesting that Revolution Analytics was remiss in not creating one. I must say, I was taken aback somewhat. In considering the suggestion, I was left suspecting...

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Extending methylKit: Christmas Offer for Methylome Researchers

December 16, 2014
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Next week is going to be a vacation and most of us are going on vacation. Me too. However, I thought that this Christmas I would OFFER fellow researchers a GOOD SERVICE. Many of the biologists are learning to deal with their high-throughput sequen...

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Variable Selection in Market Segmentation: Clustering or Biclustering?

July 29, 2014
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Variable Selection in Market Segmentation: Clustering or Biclustering?

Will you have that segmentation with one or two modes?The data matrix for market segmentation comes to us with two modes, the rows are consumers and the columns are variables. Clustering uses all the columns to transform the two-mode data matrix (row a...

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Using CART for Stock Market Forecasting

February 28, 2014
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Using CART for Stock Market Forecasting

There is an enormous body of literature both academic and empirical about market forecasting. Most of the time it mixes two market features: Magnitude and Direction. In this article I want to focus on identifying the market direction only. The goal I set myself, is to identify market conditions when the odds are significantly biased

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Who knows the Oscar winners? The betting markets, probably.

February 28, 2014
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Who knows the Oscar winners? The betting markets, probably.

This is the time of year when everyone likes to speculate on the winners of the Academy Awards, to be announced on Sunday. There are plenty of ways to try and predict which movie is going to win Best Picture or who'll win Best Actress. You could look at the various betting markets and see who the speculators are...

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