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Measuring Consumer Preferences for Successful Ready-To-Eat Development | A Sensory Research Case Study
By E2E Research | May 25, 2021

Research Objective

  • A food retailer made some changes in their processes for an existing line of ready-to-eat products and wanted to understand the impacts on customer preferences for the redeveloped product.
  • A Central-Location-Test followed by a survey was determined to be most appropriate to compare perceptions of the new test products and the original control products.

 

Scope & Methodology

  • Consumers tested the products and rated them against a series of emotional perceptions
  • Among others, key statistics conducted included:
      • Just About Right (JAR) analysis
      • Penalty analysis
      • Sentiment analysis
      • Likeability analysis
  • For Flavor 1, 47% of people preferred the new test flavor over control. The old flavor won. And, for Flavor 2, 59% of people preferred the new test flavor over control. The new flavor won.

 

Value Delivered

  • The first Control flavor was associated with more positive feelings like exciting, social, inviting, and loving, whereas the second Test flavor was associated with more positive feelings like exciting and social.
  • The client learned that the changes in product processes were successful for one flavor but less so for the second flavor.

 

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Identifying Target Audiences of Two New Tea Variants | An IHUT + JAR Analysis Case Study
By E2E Research | April 2, 2021

Research Objective

  • A beverage brand wanted to launch two new flavors of tea. They needed to understand which flavor would be preferred by target groups within a specified geography as well as overall.

 

Scope & Methodology

  • Sensory testing was conducted by way of In-Home-Usage-Tests (IHUT) and survey data from 250 participants.
  • Participants tested both flavor prototypes and completed an exit survey about their in-home sensory experience.
  • Sentiment and likability scores were calculate for both of the variants. In addition, the data were analyzed using statistical techniques such as JAR analysis and penalty analysis.
  • Results showed a preferred flavor as well as distinct differences based on demographic and geographic characteristics.

 

Value Delivered

  • The client learned which of the flavor prototypes was preferred as well as specific reasons for those preferences.
  • They were able to understand the preferences by demographics and geographics allowing them to create more meaningful marketing strategies for their desired target groups.

 

 

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