Decode enabled an American multinational food manufacturing company save 270 hours of research.
An American multinational food manufacturing company saved 270 hours of research by recreating real shopping experiences with 3D packaging and shelves.
Industry
CPG
Technologies
Decode Shopper
Eye Tracking
Area of Interest (AoI)
Scope
Sample: 200
Countries: 5
Context
The company is trying to improve its package design to stay competitive in the market. They're comparing a new design with the old one to see which one customers prefer and which design is more likely to make people want to buy the product. They're also doing a detailed analysis by putting their new product next to similar products from other companies on a virtual shelf. This helps them see how well their product stands out compared to others, with the goal of making sure their product is attractive to customers and stands out in the market.
Problem Statement
Speed
It required a duration of 6-7 weeks to gather insights from various shelf studies and a substantial target demographic.
Inaccurate Prediction
Current shopping simulations lack real-world clutter, leading to inaccurate consumer behavior predictions.
Biased Insights
Challenging to understand shopper attention and engagement levels to evaluate purchase intent of consumers.
High Logistic cost
The high logistic cost of building physical mock stores for shopper research shows the need of a cheaper option.
Here’s How we helped them
1
Decode Shopper Insights – A multi-tenant platform for virtual shelf, pack design, and shopper journey testing.
2
Eye Tracking – A patented AI-powered technology that measures and quantifies human attention by capturing eye gaze movement.
3
Area of Interest (AoI) – Allows users to define specific areas within their stimuli.
4
The Impact Experienced
6X Faster
Time to insights per study was cut down, saving 270 manhours, leading to faster insights.
Simulated Retail
Created simulated environments to replicate realistic shopping conditions and clutter, including 3D packaging and shelves.
Unbiased and Richer Insights
Enhanced visibility of the new packaging was achieved through Facial Coding, Eye Tracking, AOI and element analysis.
Cost Efficient
Significant savings in logistics costs achieved by eliminating the need to construct physical mock stores for shopper research.
Related Case Studies
Decode enabled an American multinational food manufacturing company save 270 hours of research.
An American multinational food manufacturing company saved 270 hours of research by recreating real shopping experiences with 3D packaging and shelves.
Industry
CPG
Technologies
Decode Shopper
Eye Tracking
Area of Interest (AoI)
Scope
Sample: 200
Countries: 5
Context
The company is trying to improve its package design to stay competitive in the market. They're comparing a new design with the old one to see which one customers prefer and which design is more likely to make people want to buy the product. They're also doing a detailed analysis by putting their new product next to similar products from other companies on a virtual shelf. This helps them see how well their product stands out compared to others, with the goal of making sure their product is attractive to customers and stands out in the market.
Problem Statement
Speed
It required a duration of 6-7 weeks to gather insights from various shelf studies and a substantial target demographic.
Inaccurate Prediction
Current shopping simulations lack real-world clutter, leading to inaccurate consumer behavior predictions.
Biased Insights
Challenging to understand shopper attention and engagement levels to evaluate purchase intent of consumers.
High Logistic cost
The high logistic cost of building physical mock stores for shopper research shows the need of a cheaper option.
Here’s How we helped them
1
Decode Shopper Insights – A multi-tenant platform for virtual shelf, pack design, and shopper journey testing.
2
Eye Tracking – A patented AI-powered technology that measures and quantifies human attention by capturing eye gaze movement.
3
Area of Interest (AoI) – Allows users to define specific areas within their stimuli.
4
The Impact Experienced
6X Faster
Time to insights per study was cut down, saving 270 manhours, leading to faster insights.
Simulated Retail
Created simulated environments to replicate realistic shopping conditions and clutter, including 3D packaging and shelves.
Unbiased and Richer Insights
Enhanced visibility of the new packaging was achieved through Facial Coding, Eye Tracking, AOI and element analysis.
Cost Efficient
Significant savings in logistics costs achieved by eliminating the need to construct physical mock stores for shopper research.
