Links to Cannon Gray Articles
What Kinds of Statistical Tools Are Popular?
Are randomized experiments the gold standard in causal analytics?
Econometrics and Marketing Research
Brand Loyalty and Customer Retention
Machine Translation in a Nutshell
Where is Marketing Data Science Headed?
Why Does Science Get Things Wrong?
How To Turn Working From Home To Winning From Home
Recommender Systems in a Nutshell
Automatic Text Summarization in a Nutshell
Big Data, Small Data, or Both?
Are You Answering the Wrong Questions?
Funny Things Happened on the Way to the Forum
Making Customized Research a Priority
Checking your assumptions: 7 questions for MR
Why Research Is Hard…And What To Do About It
A Few Statistics Tips for Marketers
How Not To Lie With Statistics
How to Beat a Statistician in Debate
Some Things to Remember About Memory
Statistical Mistakes Even Scientists Make
Are You Limiting the Value of Quantitative Research?
Qualitative Research Methods for Data Science?
Connecting with the Internet of Things
Statistical Modeling: A Primer
Time Series Analysis: A Primer
What is Structural Equation Modeling?
Hard Hat Stats: Some Common & Uncommon Sense
What Does Marketing Science Bring to the Table?
Making Sense of Machine Learning
Demystifying Predictive Analytics
Social Media Analytics: Promises, Challenges and the Future
Marketing Mix Modeling: What It Is and What It Does
Propensity Score Analysis: A Tool for MR
Consumer Rationality is a Dead Horse
How to Overcome Executive and IT Resistance to Data-driven Decision Making
How to Separate Neuroscience from NeuroHype
Data Science and Analytics Demystified
Doing Your Homework: Tips on Telecommuting
Data Science and Marketing Research
Meta-Analysis and Marketing Research
Key Driver Analysis: An Analyst's Swiss Army Knife
What Do Marketing Scientists Really Do?
Segmentation: What It Is and What It Does
Change: Asteroid or Opportunity?
Time Series Analysis: What It Is and What It Does
Pros and Pitfalls of Observational Research
Links to Interviews with Leading Academics
Spatio-Temporal Statistics: A Primer (Chris Wikle)
Natural Language Processing for Social Media (Anna Farzindar)
Big Data: Promises, Challenges and Threats (Koen Pauwels)
Want to Become a Data Scientist? Read This First. (Jennifer Priestley)
Vital Statistics You Never Learned...Because They're Never Taught (Frank Harrell)
Causation: The Why Beneath The What (Tyler VanderWeele)
Sampling: A Primer (Stas Kolenikov)
Marketing Analytics for Data Rich Environments (Michel Wedel)
Overcoming Quantiphobia (Mark Reckase)
Neuroscience and Marketing (Nicole Lazar)
How Brands Don't Grow: Part 1 (Byron Sharp)
How Brands Don't Grow: Part 2 (Byron Sharp)
Text Analytics: A Primer (Bing Liu)
Bayesian Basics, Explained (Andrew Gelman)
Measuring Minds (Gordon Bruner)
Big Data: Start with Baby Steps (Peter Fader)
Links to MR Realities Podcast Series
"Myths and Misunderstandings about UX" (Michaela Mora)
"Real Insights with Real Impact" (Andrew Cannon)
"Art and Technology" (Anna Farzindar)
"The Future of the MR Industry" (Travyn Rhall)
"Making Healthcare Research Better" (Graeme Read)
"MR in Africa: Adventures and Misadventures" (Andrew Johnson)
"Real Answers for Real Problems: How Businesspeople Can Really Help" (Alastair Gordon)
"Current MR Trends: Which Will Thrive and Which Will Fizzle?" (Bob Lederer)
"How To Sell Reality Using Semiotics" (Rachel Lawes)
"Communicating Insights" (Lucy Davison)
"From Facts To Fiction" (Rickie Khosla)
"Marketing Heresies" (Jenni Romaniuk)
"Using Games and Gamification in Market Research" (Betty Adamou)
"Making a Difference" (Kristin Luck)
"The Role Of Surveys In Today's MR" (Jonathan Deitch)
"The Grumpy Innovator on MR" (Costas Papaikonomou)
Selected Papers
Gray, Kevin, "Market Response Modeling: A Case Study," The Journal of Business Forecasting, Volume 28, Number 2, Summer 2009
Roberts, John H., Morrison, Pamela D. and Gray, Kevin S., "Leverage and Implications from Segmenting Brand Equity to Account for Customer Heterogeneity," Presentation to the 2007 AMA Advanced Research Techniques Forum, Santa Fe, NM, June 2007.
Gray, Kevin and Yamamoto, Fumio, "New Approaches to Key Driver Analysis," Marketing Researcher, 2003 No. 94, Japan Market Research Association (Japanese publication)
Maclean, S. and Gray, K., "Structural Equation Modelling in Marketing Research," Journal of the Australian Market Research Society, Vol 6, No 1 January 1998, MRSA, Sydney
Gray, K.S, "Can Student Loan Default be Forecast Accurately?", Journal of Student Financial Aid, 15(1), 31-41, 1985
Advanced Analytics
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Innovative Methodologies
Focus on Decisions
Data Mining and Predictive Analytics
Consumer Segmentation
Market Response Modeling
Demand Forecasting
Key Driver Analysis
Pricing Research
Discrete Choice Modeling
MaxDiff Analysis
Ad Hoc Modeling
Experimental Designs
Consultation on Research Design
Coaching and Training
Review/Integration of Past Research
Analysis of Internal/External Data Bases
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