Marketing Research Blog

How To Get The Best Results From Your Concept Test

There are several standards to ensure a quantitative online concept test yields reliable and actionable results. These standards span concept presentation, methodology, survey length and engagement, and sample/data integrity.

Here’s a breakdown on how to get the best results from your concept test.

Presentation

A concept must be standardized and fully developed. Ideally it includes the following core elements:

• Clear headline
• Defined consumer need
• Benefit statement for how the product solves a need
• Features, ingredients, or logic supporting the claim
• A realistic price point

Methodology

Monadic testing, where the respondent sees and evaluates one concept, is the best practice to prevent "comparison bias" or survey fatigue, which occurs when forcing respondents to evaluate multiple concepts.

Testing a new concept against an existing successful product (benchmark/control concept) or evaluating it against normative data is required to understand if a score is genuinely "good."

Survey Length and Engagement

Avoid designing long surveys that cause respondent fatigue. Keep concept tests lean, focused.

Mobile optimization is a must with the growing number of respondents participating via mobile devices. Online concept tests should be readable on a smartphone screen without horizontal scrolling.

A standard concept test evaluates these universally recognized Key Performance Indicators (KPIs), usually measured on a standard 5-point Likert scale:

• Purchase Intent - Likelihood to buy the product (measured on a 5-point scale from Definitely Would Buy to Definitely Would Not Buy).
• Uniqueness - How unique and different the product is from products currently available on the market.
• Believability - Whether consumers trust that the product can actually deliver on its stated benefit.
• Value/Price - Perceptions of the product’s value given its stated price

Sample and Data Integrity

The quality of the data is entirely dependent on who is taking the survey and the measures taken to keep bad data out.

• Respondents must match the target market for the category rather than utilizing a broad general population sample.
• Measures should be in place to prevent fraud and bots from getting into your data. Your survey should include cheater questions, speeder checks, and open-ended text analysis to filter out gibberish or AI-generated responses.

In an era where market windows are shrinking and consumer attention is fragmented, the standards of concept testing matter more than ever. A reliable online concept test is your first defense against costly market failures. However, the value of the test is only as good as the integrity of the framework behind it. Every step must be designed to capture genuine consumer behavior. By committing to these rigorous testing principles, insights teams can confidently guide innovation pipelines, transform raw ideas into viable products, and back their strategic decisions with data they can actually trust.

Maria Garza

Senior Research Analyst

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Maria has more than 30 years of marketing research experience. She has been with Decision Analyst’s Client Service staff since 2002. Maria manages projects for several major clients. She has experience in both consumer and business-to-business research, spanning such industries as retail, durable goods, fast-moving consumer goods, restaurants, and media.