Case Studies Store Lighting and Measuring Its Impact on KPIs

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	Store Lighting and Measuring Its Impact on KPIs

Store Lighting and Measuring Its Impact on KPIs

Technology Category	Analytics & Modeling - Real Time Analytics Functional Applications - Remote Monitoring & Control Systems
Applicable Industries	Retail
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Retail Store Automation
Services	Data Science Services System Integration
Challenge	The retailer wanted to determine what impact changes to in-store lighting would have on store performance. Specifically, the retailer wanted to know how changes to the lighting scheme in the store would affect average daily traffic, average daily sales, conversion rate, average transaction value, sales per shopper, dwell, and capture rate. Read More
About Customer	One of the world’s premier premium denim apparel brands with over 100 company-owned locations in North America, Europe, Asia, and the Middle East. This retailer remains a leader in premium apparel, continuously pushing industry standards for exceptional quality and service to new levels through the growth of its hybrid brand of fashion and innovation. Read More
Solution	RetailNext established baseline metrics through the deployment of its in-store analytics solution in ten areas of the company’s flagship store to measure average dwell time, dwell rate, and exposure. The combination of those measurements with total store metrics provided an accurate “snapshot” of the current state of the store’s performance before piloting changes to in-store lighting. After two weeks of baseline measurement, the store implemented its lighting changes. With those changes made, the retailer measured the same metrics over the equivalent time period. Comparing pre-lighting changes to post-lighting changes gave the retailer an in-depth and accurate assessment of the impact the lighting changes had on store performance. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Functional Applications - Remote Monitoring & Control Systems

Applicable Industries

Retail

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Retail Store Automation

Services

Data Science Services

System Integration

Challenge

The retailer wanted to determine what impact changes to in-store lighting would have on store performance. Specifically, the retailer wanted to know how changes to the lighting scheme in the store would affect average daily traffic, average daily sales, conversion rate, average transaction value, sales per shopper, dwell, and capture rate.

About Customer

One of the world’s premier premium denim apparel brands with over 100 company-owned locations in North America, Europe, Asia, and the Middle East. This retailer remains a leader in premium apparel, continuously pushing industry standards for exceptional quality and service to new levels through the growth of its hybrid brand of fashion and innovation.

Solution

RetailNext established baseline metrics through the deployment of its in-store analytics solution in ten areas of the company’s flagship store to measure average dwell time, dwell rate, and exposure. The combination of those measurements with total store metrics provided an accurate “snapshot” of the current state of the store’s performance before piloting changes to in-store lighting. After two weeks of baseline measurement, the store implemented its lighting changes. With those changes made, the retailer measured the same metrics over the equivalent time period. Comparing pre-lighting changes to post-lighting changes gave the retailer an in-depth and accurate assessment of the impact the lighting changes had on store performance.

Impact #1	RetailNext’s powerful, customized solution in retail analytics shed light on the retailer’s proposed in-store changes.
Impact #2	Overall dwell times decreased after the lighting change, revealing the possibility that lighting changes helped eliminate shopper confusion.
Impact #3	The retailer saw growth across multiple KPIs after implementing the lighting changes.

Impact #1

RetailNext’s powerful, customized solution in retail analytics shed light on the retailer’s proposed in-store changes.

Impact #2

Overall dwell times decreased after the lighting change, revealing the possibility that lighting changes helped eliminate shopper confusion.

Impact #3

The retailer saw growth across multiple KPIs after implementing the lighting changes.

Benefit #1	44% growth in sales
Benefit #2	3.8% growth in conversion
Benefit #3	21% growth in sales per shopper (SpS)

Benefit #1

44% growth in sales

Benefit #2

3.8% growth in conversion

Benefit #3

21% growth in sales per shopper (SpS)

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Overview

Store Lighting and Measuring Its Impact on KPIs

Operational Impact

Quantitative Benefit