Retail Performance Optimization
Sculpted by Aimee is seeking deeper visibility on the productivity of its flagship boutiques on Grafton Street in Dublin and Carnaby Street in London. The Retail Analytics Solution by SHIFT was deployed to turn physical footfall into actionable insights, tracking the full customer journey from street traffic to in-store visit and transaction.
SHIFT’s Retail Analytics Solution acts as the Google Analytics of the physical world. Sensors installed across the boutiques measure passersby, visitors, time spent and zone-by-zone journeys, then cross these signals with sell-out data and local marketing activations to identify what genuinely drives performance.
Over the first reporting period, traffic, engagement and sales dynamics were analyzed day by day and benchmarked against beauty and luxury retail references. Store capture, conversion and in-store navigation were assessed zone by zone, the impact of opening hours, Beauty Advisor coverage and in-store masterclasses was quantified, and every finding was translated into concrete operational recommendations. Monitoring has since been extended across both boutiques until the end of 2026.
Over the first reporting period, traffic, engagement and sales dynamics were analyzed day by day and benchmarked against beauty and luxury retail references. Store capture, conversion and in-store navigation were assessed zone by zone, the impact of opening hours, Beauty Advisor coverage and in-store masterclasses was quantified, and every finding was translated into concrete operational recommendations. Monitoring has since been extended across both boutiques until the end of 2026.
3 main objectives achieved:
• Identify opportunities to improve store capture and conversion
• Understand how customers navigate and engage with each area of the boutique
• Turn in-store data into concrete operational recommendations
• Identify opportunities to improve store capture and conversion
• Understand how customers navigate and engage with each area of the boutique
• Turn in-store data into concrete operational recommendations