Survey based approach in which respondents
evaluate a series of price points, rating each
price point on a scale from “too cheap” to
“too expensive”. The data collected provides
a basis to assess pricing strategies (penetration,
revenue maximizing, etc).
Regression Analysis
Measures the strength of a relationship between a variable you try to explain (e.g. overall customer satisfaction) and one or more explaining variables (e.g. satisfaction with product quality and price). If the relationship is strong, it can be used to predict values of one variable given the other variables have known values
Conjoint Analysis
Survey based approach in which respondents make simulated purchase decisions. The results provide insight into the relative significance of product attributes and price points.
Correlation Analysis
Measures the degree of linear relationship between two variables. While in regression the emphasis is on predicting one variable from the other, in correlation the emphasis is on the degree to which a linear model may describe the relationship between two variables.
Perceptual Mapping
Survey based approach in which respondents make simulated purchase decisions. The results provide insight into the relative significance of product attributes and price points.
Kano Attribute Analysis
A systematic method to understand how a customer’s sense of satisfaction is affected when a product or service succeeds or fails to meet customer expectations. The pleasure/displeasure ratings are used to classify and prioritize customer needs.
Customer Value Map
Provides a clear picture of market position relative to competitors in the industry by plotting the relationship between perceived benefits and price. In addition, it verifies prices are in line with the benefits delivered.
Strategic Priority Analysis
Plots the importance and satisfaction ratings of attributes, capturing the gaps between importance and satisfaction. The output isolates the attributes with the highest priority (high importance and low satisfaction rating).
