Line Extensions

Predict the success of line extensions or new products using likeability forecasting models.

Why do it?

  • Get insights into the concepts with the highest predicted success in your target market.

Questions

  • What line-extensions have the highest chance of success?
  • What is the reason-to-believe that a particular concept will resonate?
  • What is the target audience for a particular concept?
  • What are the numbers behind the reason-to-believe?
  • What flavors will create consumer excitement?

What do you get?

  • Winning concepts:

    Identify the concepts with the highest trial and liking scores.

  • Reasons why:

    Metrics and insights reveal why a concept will be successful in a specific market.

  • Value proposition / Solution USP

    Screen millions of concepts to increase speed of development and identify winning concepts through digital twins.

    Goals

    > To generate new and distinctive line extensions for a specific target audience and flavor camp.
    > To give insights into what drives the trial and liking of your target audience.
    > To avoid cannibalization on your core products.

    Key measures

    > Predicted liking
    > Predicted trial

    Configuration

    > Select concept
    > Select concept details

    Data sources

    > Analytical aroma data via GC-MS
    > Analytical taste data via HPLC and photometric methods
    > Commercial products from e-commerce websites
    > Recipe websites, blogs
    > Social media

    Capabilities

    > Trial and liking prediction on all possible variations within a specific flavor camp
    > Generate ideal flavor profile

    Innovation cycle

    Concept & formulation development

    loop

     

    Target audience

    > CMI
    > R&D
    > Marketing

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