Choice Modeling & Marketing Analytics Consulting
Independent analytical expertise for market research agencies and advisory firms.
Red Analytics provides specialized choice modeling, conjoint analysis, segmentation, and advanced marketing analytics consulting. We combine hands-on analytical execution with proactive methodological judgment to help research teams develop evidence that supports consequential business decisions.
Our work goes beyond implementing a requested model. We help clarify the decisions research must inform, recommend appropriate analytical approaches, and examine whether the resulting evidence can support its intended use.
Specialized Analytical Services
Choice Modeling & Conjoint Analysis
Experimental design, hierarchical Bayes estimation, market simulation, and analysis of pricing, product configuration, substitution, and portfolio decisions. Our independent modeling code base allows us to evaluate specifications beyond standard software defaults.
Explore Choice Modeling Consulting
Segmentation & Advanced Analytics
Customer segmentation, driver analysis, regression, and specialized statistical modeling. We evaluate alternative approaches and develop analytical frameworks that reflect the research objectives and decisions being considered, rather than treating a particular algorithm as the solution.
Why Analytical Judgment Matters
Competent statistical execution is necessary. It is not always sufficient.
Research briefs frequently specify activities or broad analytical objectives without clearly identifying the business decision. A choice experiment might be designed to optimize preference share when the actual decision concerns profitability. A study might exclude competitors when their presence fundamentally changes the economics of the choice.
These are not simply modeling details. They influence what the research can establish.
Red Analytics brings proactive analytical judgment to these situations. We help clarify the decision, recommend research designs and methods while options remain open, and investigate results that may be statistically plausible but economically misleading.
Our recommendations are informed by applied consulting, independent model development, and original methodological research. The difference is not simply years of experience. It is how that experience and research are applied to the analytical decisions that shape an engagement.
Work That Stands Up to Examination
Our work spans pricing and portfolio choice models, product and service configuration, monetization, segmentation, and specialized statistical investigations.
Our case studies illustrate the analytical challenges behind these engagements, the recommendations we made, and how those choices affected the evidence available for decision-making.
Independent research is another important part of our practice. We investigate modeling assumptions, experimental design, predictive validation, and the economic interpretation of statistical results. This work informs our recommendations and provides a basis for examining them critically.
Research & Conference Contributions
A Decision-First Approach to Marketing Science
We call this perspective Strategic Decision Architecture.
The underlying principle is straightforward: identify the business decision, establish what evidence it requires, and then design and execute the analysis. Strategic Decision Architecture developed in response to a problem we call Insight Compliance: research that fulfills its formal requirements but cannot adequately support the decision it was intended to inform.
Our objective is not to replace familiar analytical methods. It is to ensure those methods serve the decision rather than define it.
Why Strategic Decision Architecture Exists | Understanding Insight Compliance