ETSE

Eye Tracking Shelf Evaluation (ETSE)

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Shelf evaluation with eye tracking

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Shelf evaluation with eye tracking

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Product Information

What includes? Methodology

In our ETSE report, you will find the necessary KPI´s to generate a in store product strategy and make adjustments before implementation.

ANALYSIS BY ZONES

Top 10 most attractive areas of the shelf
"Cold spots" or zones of less impact of the shelf
Shelf Journey of the shoppers

PRODUCT AND BRAND PERFORMANCE

Number of impacts per brand or product on shelf
Exposure time for each brand or product
Time to find a specific brand
Time to find a specific product
Number of people who observe the brand / product

SEGMENT ANALYSIS

• Easy to find the product among your consumers
• Ease of finding the product among non-consumers
• Metrics by demographics (Gender, age range, city)

PROMOTION ANALYSIS

Efectiveness Score of the promotion
Share of the market impacted by the promotion
Purchase intention of the promotion

COMPARATIVE ANALYSIS

Version with the highest market share
Version with longer exposure time for the brand or product
Easier to identify version on the shelf
Brands more benefited by shelf
Products most benefited by shelf

The methodology of Atlantia Search for the evaluation of shelves includes diverse technologies for the obtaining of the information, its processing and friendly visualization to facilitate the accionabilidad of the results.

Our technology has a unique algorithm that captures the position of the eye and eye movements and an artificial intelligence analyzes the image to detect patterns of observation. The platform allows to generate the image in specific areas to automatically generate KPIs linked to observation, interest, engagement and attention. The visualization of the Data is friendly and easy to interpret, allows the fast visualization of the optimal spaces of the shelf through Heat maps, Opacity maps, Pathfinding of a specific brand, and areas with the longest exposure time.

It only requires that:

1. Sending the planogram images or the proposed shelf

2. We launch online panel with category consumers

3. Projection of the shelf stimulus and tracking of the eye movement

4. We generate the report of results with behavior patterns

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