Kelley School of Business
Pricing and Analytics Tools
Interactive tools for pricing strategy, demand analysis, and marketing analytics.
Created by Dr. Koray Cosguner
Pricing Effectiveness Matrix
A diagnostic scorecard to evaluate organizational pricing maturity across strategy, execution, and analytics dimensions.
Qualitative Elasticity Assessment
Assess price sensitivity based on qualitative market factors (e.g., uniqueness, switching costs).
Price Elasticity Calculator
Calculate Price Elasticities using direct price/quantity changes.
Income Elasticity (YED)
Calculate Income Elasticity of Demand to categorize products as Necessities, Luxuries, or Inferior goods.
Price Optimizer (Linear)
Solver for Linear Demand (Q = A + BP). Calculates optimal price for Revenue vs. Profit maximization.
Single-Point Price Optimizer
Optimize price when you lack historical data. Extrapolates a full demand curve from a single price/quantity point.
Linear, Poisson, Binary Logistic Regressions
Preview data, view statistics, filter subsets. Run regressions with variable transformations. Filter by significance level, view equations, and make predictions.
General Purpose Optimizer
Define custom equations with decision and control variables. Optimize single or multiple variables, generate R code, and visualize objective functions.
Model-Based Price Elasticity Calculator
Enter your estimated regression equation and the values of your control variables.
Channel Pricing Optimizer
Optimize producer pricing in vertical channels with three retailer types: vertically integrated, cost-plus markup, and strategic (Stackelberg). Compares double marginalization effects.
Pricing with Substitute or Complementary Products
Compare optimal pricing under collusion vs. competition, with or without a common retailer. Supports manual parameter entry or regression from uploaded data.
Van Westendorp Price Sensitivity Meter
Discover optimal pricing and acceptable price ranges using customer survey data. Upload responses to four price sensitivity questions and get key price points instantly.
Gabor-Granger Price Analysis
Determine optimal price points by analyzing purchase intent at different price levels. Upload survey data to find the revenue-maximizing price.
Conjoint Fractional Factorial Design
Generate fractional factorial designs for conjoint analysis. Define attributes and levels, then export profiles with dummy coding.
Conjoint Analysis Tool
Analyze conjoint survey data: estimate part-worth utilities via OLS regression, compute attribute importance, segment respondents, and simulate market shares.
Latent Class Regression
Estimate segment-level regression models using finite mixture modeling ("flexmix") package in R. Supports Linear, Poisson, and Binary Logistic models.
Multinomial and Conditional Logistic Regressions
Estimate multinomial and conditional logit models using the "mlogit" package in R. Analyze consumer choice data with alternative-specific attributes.
Pricing Survey Builder
Designed for instructors to create and manage pricing surveys. Supports both Van Westendorp (PSM) and Gabor-Granger (price ladder) surveys with real-time response collection.