Electric Insights
Beer Concept Test · Consumer Survey · 803 Respondents

CPG Concept-Test Case Study

54.7% of respondents rated their purchase intent for the test product in the top two boxes after seeing the package concept. What drove that number — and what could have changed it? Five tools let you explore the data yourself.

Five Ways to Engage with the Data

Two simulators run on the published 6-variable model. A stress test challenges the headline. An explorer and a model builder let anyone inspect, challenge, or extend the released account.

Use the published model

All-or-Nothing Simulator

Pin every respondent to one chosen response level per package factor and see how the 54.7% top-2 purchase intent shifts. Runs on Electric Insights' release-day explanatory account.

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Fine-Tuning Simulator

Same published model, but redistribute response shares gradually rather than pinning. Watch how small distributional changes move the purchase-intent needle.

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Stress test the published headline

Non-Response Test

Specify a nonresponse pattern and see whether the 54.7% top-2 purchase intent would survive it. A vulnerability check on the released score, separate from the explanatory model.

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Inspect, challenge, or extend the published model

Survey Explorer

Browse the raw responses. See how consumers reacted to each package factor, which questions moved together, and how one group compared to another. Frequencies, cross-tabs, and correlations.

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Model Builder

Take a whack at improving the published model. Add or remove predictors, refit on a subgroup, or build a model from scratch. The published model remains the released account; this tool exists so anyone can challenge or extend it.

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All tools use data from the beer concept-test consumer survey (n=803)

About Concept Testing

How a concept test works

1. Show the concept

Respondents see a package design, ad mockup, or product description.

2. Capture reactions

A battery of questions probes appeal, fit, relevance, and intent — typically on 5-point scales.

3. Model what matters

Statistical modeling identifies which reactions actually predict the purchase decision.

Package design

The package concept is the stimulus

Purchase intent

5-point scale, top-2 box reported

Brand fit

Does the package match the brand?

Personal relevance

Top driver in the published model

The Concept-Test Survey

Beer-category respondents were shown a new package concept and asked a battery of reaction questions. Purchase intent was captured on a 5-point scale; the top-2 box (Extremely / Very likely) is the modeled outcome.

54.7%
Top-2 Purchase Intent
803
Beer-category respondents

Survey Topics Covered:

Package appeal & fit
Purchase intent (pre + post)
Beer-category behavior
Competitor brand awareness
Demographics & segmentation

Ready to explore what drove the 54.7%?

Simulate scenarios, stress-test the headline against nonresponse, or build your own model from scratch.