Using Open Source Software to Make Sense of Small Big Data explains how to apply small big data methodology and AI to produce an actionable deliverable.
The Foundations of Behavioral Economics is a user-friendly overview of behavioral economics and its relevance to the field of marketing.
In our article, The Decisiveness of Statistical Inference, we exhibit methods of measuring the accuracy of survey research to gauge brand equity, consumer sentiment, political polls, etc. In these cases we use probability samples to get our most accurate picture.
In our Greenbook blog post The Misrepresentation of Statistical Accuracy – Unethical, but Fraud?, we touch upon one of the most common areas of statistical misrepresentation, the reclassification rates of segmentation typing tools and discuss at what point do unethical practices turn into fraud?
In Advancing the Data Product, we navigate how a data company can take their inventory, collected
survey data, shopping history, or large consumer sentiment studies, and create a subscription
service. This is especially relevant as data companies seek to re-engage their vast amounts of historical data that has now become stale
The Misrepresentation of Statistical Accuracy, published in GreenBook, examines where to draw the line with fraud using a segmentation as an example.
Understand Your Brand’s Movable Middle – a Key to Growth explains how to increase this important category of buyers.
Demystifying Data Mining explores data mining methodologies.
Artificial Intelligence Needs Human Eyes: How Marketing Researchers Can Help Fill the Gap examines the future of artificial intelligence.
Data Translators – The Must Have Role for the Future brings an interesting perspective to the existential angst of many market researchers – what should my job be in an age of big data and data science? Our conception of a role of “data translator” is an intriguing one, and plays to certain historical strengths of market researchers.
The Quirk’s Marketing Research Review article, Data Fusion – How Researchers Can Create C – Suite Deliverables, discusses interpretations and presentation of predictive analytics and marketing research, which both employ data scientists.
Lloyd Shapley’s Value – Brand Research and Decision Input in the Post-Covid World discusses a fair approach to adding value.
The Quirk’s Marketing Research Review article, “Accelerating Recovery – Using Research to Manage a Brand Crisis,” offers strategies for using research as a major part of any effort to repair a brand’s reputation.
Assessing a Brand Funnel Using Comparative Discriminant Analysis explores how a brand can improve commitment to brands by using multiple sections of a survey or existing data silo input.
Data-mining Wikipedia – A New Frontier of Insights illustrates how to benefit from mapping network connections.
How to Measure Employee Fraud discusses how to ask questions to determine employee fraund levels.
In Game Theory and Consumer Choice, we explain the fundamental differences between the two game theory models.
Migration of the Marketing Analytics to the Human Resources Industry explains why HR professionals need to go beyond reporting date to analyzing company data.
Game Theory and Consumer Choice goes through one step at a time of the brand funnel.
Principles of sampling are analyzed in this guest blog post article.
A comprehensive list of articles and publications by Michael D. Lieberman.
This article, In the Numbers: How Lockdowns Prevent Breakouts, demonstrates the contribution of lockdowns to the reduction of Covid-19 infections.
Talent Management – Organizational Network Analysis examines how organizations are utilizing analytics methods to increase collaboration to ensure more efficiency and boost profits. Inter-organizational connections can take many forms, such as problem-solving relationships, decision making relationships, personal support relationships, and strategic partner relationships.
In this article, A Product Quadrant for Accurate Data Modeling, published in Quirk’s Marketing Research Review, Michael Lieberman examines how to determine which model will provide relevant business forecasting.
Combining predictive analytics with traditional employee surveys can lead to a significant decrease in employee churn. This represents a significant opportunity for market researchers to demonstrate value to corporate management, as described in this Greenbook Blog post, Boosting Employee Retention with Predictive Analytics.
Michael Lieberman is quoted in an NBC New York news article about IHOP’s name change to promote its addition of burgers to the menu.
Many companies wish to link their customer experience (CX) variables to specific financial outcomes. They wish to estimate customer retention based on data they already possess and identify variables that will predict financial performance. In this article in Quirk’s Marketing Research Review, Deploying Existing Client Databases CX Financial Linkage, we discuss linkage between company CX measurements to Financial Outcome along a continuum.
The article, Applied Behavioral Economics, explains that Applied Behavioral Economics is already in the marketing research quiver, with several examples of analyses that fall within this framework.
A collection based on statistical methods and inference to solve strategic marketing issues, define choice motives, forecast the optimum price of items, and discuss thought within the marketing, research, and strategic consulting industries. Available on Amazon.
A cruise line example illustrates how to use discrete choice to determine marginal value in this piece published in Quirk’s Marketing Research Review, How to Price an Island.
