Retail is the scenario in which brands have the opportunity to interact directly with the final consumer. It is concerned with the physical space in which consumers make their last purchase decision.
Given the large volume of stimuli to which the consumer is faced at the point of sale, it’s essential to know what the visual impact of the products as well as the advertising elements associated with these spaces on the linears are.
Non-intrusive techniques of emotion measurement help measure the emotional reaction of users. It is based on the products and advertising in real-time shopping environments. This implies a revolution in retail research since it avoids biases in the traditional research at the point of sale when registering the user’s reaction to the linears in real-time.
A simple built-in camera can analyze crowds and their spontaneous behaviours in any social context
What it is about
The facial coding technology of Emotion Research Lab measures the customer’s reaction at the point of sale or showcase and translates it into data of the 6 basic emotions and the 4 emotional metrics. The software allows the researcher to obtain the knowledge of the number of people that have passed in front of the linears or areas of the point of sale. The platform reveals the number of people who are focusing on the product, as well as the time that they are showing attention. In addition, the software recognizes the sex and age of those who are paying attention to the linears or sales area.
What information is obtained
• The emotional impact of the products through metrics as activation, engagement, experience, satisfaction and the basic emotions with greater impact (happiness, surprise, anger, disgust, fear and sadness).
• The number of people walking in front of the sales areas and the proportion of active viewers.
• Sociodemographic profile of the viewers and the activities.
Comparative analysis of the points with more and less attention, and the emotional profile of consumers.
ACCESS TO THE ONLINE PLATFORM
Data available in real-time about the total traffic of people at the points of sale. Also the active observers and the associated emotional metrics.