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Improving Fixture Performance (Case Study)

Artificial Intelligence, Data Analytics, Download Reports, Retail

Improving Fixture Performance (Case Study)

A large retailer with more than fifty stores used RetailNextTM to understand and optimize the performance of two different apparel fixtures in its stores, hereafter referred to as the focal fixture and the secondary fixture. The RetailNext in-store analytics platform enabled the retailer to track shopper interaction and gain deep insights into how shoppers respond to the two fixtures.

Metrics

  • Exposure
  • Engagement
  • Average Dwell Time
  • Conversion

Results

  • More specific measurements of fixture performance uncovered specific recommendations to increase sales for different fixture types in different areas of the store.
  • The focal fixture had high exposure and low engagement. To improve engagement, and, ultimately, conversion, the retailer could display trend merchandise instead of basic merchandise.
  • The secondary fixture performed well in terms of engagement and conversion, but it suffered from low overall exposure. Driving traffic to this fixture with destination merchandise or marketing efforts should result in higher fixture productivity.
  • The use of RetailNext analytics allowed for deeper insights to drive sales at both the store and the company levels that had previously gone undiscovered.

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