Does your new burger taste as good as the campaign promises?

burger innovation

Industry

Retail & Foodservice

CHALLENGE

The brand regularly launched new burgers, toppings, and sauces without prior sensory validation. This led to a disconnect between bold marketing claims and the actual customer experience, with inconsistent commercial results.

RESULTS

By using Sensesbit, the team was able to predict which version would be more successful before launching. They integrated A/B sensory testing and real consumer feedback into their innovation process, leading to higher product acceptance and a better match between promise and flavor.

“We used to test products internally and go with what we thought people would like. But sometimes what looked great in a campaign just didn’t work in-store. Now, we make decisions based on real sensory data and predicted preference. That changes everything.”

Head of Innovation

International Fast Food Restaurant Chain

The Challenge

In fast-moving restaurant environments, launching without sensory data is a risk.
The innovation team frequently introduced new burgers or limited-edition collaborations with bold ingredients or sauces, but had no formal sensory validation beyond internal tastings or anecdotal feedback.

This led to several issues:

  • High-investment campaigns that didn’t convert into sales

  • Visually appealing products that failed on taste

  • Loyal customers feeling disconnected from the experience

The team needed a fast and reliable way to:

  • Compare product variants before launch

  • Validate which version consumers actually preferred

  • Predict performance based on sensory data

  • Justify internal decisions with real evidence—not assumptions

The Solution

With Sensesbit, the innovation team ran its first true A/B sensory validation using real consumers, supported by predictive preference modeling.

This enabled them to:

  • Activate a comparative test with two burger versions

  • Collect sensory feedback from 120 real consumers aged 18–40

  • Measure key sensory attributes: overall taste, topping intensity, texture combination, sweet–savory balance, and “premium burger” perception

  • Include contextual questions: Which one would you order again?

  • Generate an automated preference prediction with Sensesbit’s AI

  • Make a launch decision in just 6 days, without slowing campaign timelines

The Results

Using Sensesbit, the innovation team was able to compare two product variants directly with real consumers and predict which one would perform better—before launching.

The version identified as the most preferred reached a 91% match between Sensesbit’s predictive model and actual consumer selections. This allowed the team to adjust the marketing message, align product promise with sensory reality, and confidently move forward with the launch.

As a result:

  • The final product achieved an 18% increase in repeat purchase rate compared to previous limited editions.

  • The validated version was preferred by 76% of participants in blind tests.

  • The estimated ROI of using Sensesbit in this decision was 5.2x, compared to previous trial-and-error approaches.

  • The team has since integrated sensory testing into every key product decision, replacing internal assumptions with real consumer data.

With Sensesbit, sensory decisions deliver measurable results.

 

👉 Ready to get better sensory solutions?

GET A DEMO

The Challenge

In fast-moving restaurant environments, launching without sensory data is a risk.
The innovation team frequently introduced new burgers or limited-edition collaborations with bold ingredients or sauces, but had no formal sensory validation beyond internal tastings or anecdotal feedback.

This led to several issues:

  • High-investment campaigns that didn’t convert into sales

  • Visually appealing products that failed on taste

  • Loyal customers feeling disconnected from the experience

The team needed a fast and reliable way to:

  • Compare product variants before launch

  • Validate which version consumers actually preferred

  • Predict performance based on sensory data

  • Justify internal decisions with real evidence—not assumptions

The Solution

With Sensesbit, the innovation team ran its first true A/B sensory validation using real consumers, supported by predictive preference modeling.

This enabled them to:

  • Activate a comparative test with two burger versions

  • Collect sensory feedback from 120 real consumers aged 18–40

  • Measure key sensory attributes: overall taste, topping intensity, texture combination, sweet–savory balance, and “premium burger” perception

  • Include contextual questions: Which one would you order again?

  • Generate an automated preference prediction with Sensesbit’s AI

  • Make a launch decision in just 6 days, without slowing campaign timelines

The Results

Using Sensesbit, the innovation team was able to compare two product variants directly with real consumers and predict which one would perform better—before launching.

The version identified as the most preferred reached a 91% match between Sensesbit’s predictive model and actual consumer selections. This allowed the team to adjust the marketing message, align product promise with sensory reality, and confidently move forward with the launch.

As a result:

  • The final product achieved an 18% increase in repeat purchase rate compared to previous limited editions.

  • The validated version was preferred by 76% of participants in blind tests.

  • The estimated ROI of using Sensesbit in this decision was 5.2x, compared to previous trial-and-error approaches.

  • The team has since integrated sensory testing into every key product decision, replacing internal assumptions with real consumer data.

With Sensesbit, sensory decisions deliver measurable results.

 

👉 Ready to get better sensory solutions?

GET A DEMO