Why some consumers resist new innovations even when they look better
Discover the idea of preference inertia and how it helps explain and predict real consumer choices in the face of new health plans and products. This work uses data-driven models to show why people cling to existing options and how to account for that in analysis and design.
In clear terms, the book investigates a behavioral phenomenon where evaluation of attributes does not translate into switching preferences. It blends segmentation, measurement, and testing to explain who is most likely to stick with the old and who might embrace the new. The methods combine survey data, factor analysis, and discriminant analysis to create practical tools for predicting choice and guiding product design.
Readers will gain practical insights into: how inertia alters preference shares, how to build inertia-aware predictive models, and how to apply diagnostics to compare innovations against existing options. The work also discusses plans for testing models on independent data to validate findings.
- How preference inertia shapes consumer response and prediction accuracy.
- Ways to segment audiences by inertia tendency and identify predisposition factors.
- Methods to incorporate inertia into linear models and get better forecasts.
- Diagnostic tools to compare innovations with existing products and with each other.
Ideal for readers of marketing science, consumer behavior, and product design who want practical, data-backed insights into why people resist new options.