Pop-Up Retail Performance Comparison
This use case compares two boutique setups by L’Artisan Parfumeur to assess traffic and engagement. The Retail Analytics Solution by SHIFT has been used to measure and compare in-store performance helping the brand better understand customer behavior and the impact of each location.
To support this, SHIFT’s Retail Analytics Solution was used to monitor store performance through innovative KPIs providing a deeper understanding of shopper behavior and enabling more tailored experiences. Traffic, engagement and sales dynamics were analyzed over a defined period (November 2024 to February 2025) and performance was benchmarked across key indicators by comparing different timeframes and boutiques. The impact of marketing actions and window activations was also captured to identify performance drivers, detect trends and highlight opportunities to refine retail strategy and maximize future results.
3 main objectives achieved:
• January represents the month with the best conversion rate
• Only little variations in capture rate can be noted in correlation with storefront change
• More than one out of three visitors convert into a sale
• January represents the month with the best conversion rate
• Only little variations in capture rate can be noted in correlation with storefront change
• More than one out of three visitors convert into a sale