Advanced Statistical Modeling & Multivariate Analysis

The Tech: We simulate the actual purchasing process by hitting respondents with "Choice Sets" rather than isolated questions. We then use Hierarchical Bayes (HB) Estimation to pull out individual-level utilities (part-worths).

The Result: This lets you run sophisticated "What-If" market simulations. You can actually predict how market share shifts when you tweak a price point or a competitor drops a new feature.

The Tech: Also known as Best-Worst Scaling. We force respondents to pick extremes within a balanced incomplete block design (BIBD). This effectively eliminates the "yea-saying" you get with those standard 1-to-5 Likert scales.

The Result: You get a ratio-scaled ranking of features or messages. It's a clear, defensible priority list for R&D-not just a bunch of attributes that all scored a "4.2."

The Tech: Using a greedy algorithm (or exhaustive search for smaller sets), TURF finds the specific mix of products or media that reaches the most unique consumers.

The Result: Essential for SKU rationalization. [Insert Personal Anecdote Here]. It tells you which combination of flavors or features attracts the biggest crowd without just cannibalizing your existing sales.

The Tech: We look at the asymmetry between a feature being there versus being absent. By using Multiple Regression with Dummy Variables, we quantify the "Penalty" for missing a basic requirement and the "Reward" for exceeding expectations.

The Result: It prioritizes your roadmap. You'll know exactly which features stop dissatisfaction and which ones actually build brand loyalty.

The Tech: This is a dimension-reduction move. We map categorical variables (Brands vs. Attributes) into a low-dimensional Euclidean space using Chi-square distances.

The Result: An immediate visual diagnostic. You can see the "white spaces" in the market and identify exactly where a brand is over-indexed or being marginalized by the competition.

The Tech: A longitudinal framework measuring the move from Awareness to Advocacy. We apply Key Driver Analysis (KDA) and path modeling to see which perceptions actually move the needle on purchase intent.

The Result: It lets you measure real Marketing ROI. You can track how shifts in brand health metrics actually correlate with long-term share growth.