Shopper Style Analysis (Consumer Styles Inventory)

Eight scientifically described shopping styles from quality-conscious to impulsive – as a personal profile with your two strongest styles.

The live demo opens the real questionnaire — no signup required.

Shopper Style Analysis (Consumer Styles Inventory) – questionnaire preview

In 1986 George Sproles and Elizabeth Kendall described eight decision-making styles people use when shopping – from quality- and brand-conscious through price-conscious and impulsive to habitual and confused by overchoice. The Consumer Styles Inventory has since become one of the most replicated instruments in consumer research and has been validated in many countries. For market research it is doubly attractive: participants read it as an entertaining type test, while it delivers a genuine, research-based segmentation – the same data that feeds the personal report aggregates into a robust audience typology.

When should you use this template?

This template is a great fit for:

  • As a segmentation instrument in retail and consumer goods studies
  • As a high-reach self-check in marketing campaigns
  • To describe audiences beyond age and income

Every question in this template

  1. 1

    I understand that participation is voluntary and anonymous, and I take part. *

    Consent
  2. 2

    How much do you agree with the following statements? *

    Matrix
    Strongly disagreeDisagreeNeutralAgreeStrongly agree
    I make a real effort to find the very best quality.
    My standards for products are high.
    I compare thoroughly before making a larger purchase.
    Well-known brands are a promise of quality to me.
    More expensive products are usually better.

Related survey templates

Browse all survey templates →

Frequently asked questions

Can you have several styles at once?
Yes, that is the normal case. The instrument describes eight independent dimensions, not mutually exclusive types. That is why your two strongest styles are reported.
Is this suitable for real segmentation?
Yes. Because the eight values are stored as dataset columns per response, they can be filtered, benchmarked and cross-tabulated afterwards – the personal report and the aggregate analysis come from the same data.

Start with this template

Load the template into DataLion, adapt it to your brand and start collecting responses — GDPR-compliant, in minutes.