La Vie en Rose Case Study: Improving Conversion with Retail Traffic Analytics | SMS Storetraffic

La Vie en Rose improved in-store conversion rates after upgrading its people counting system with SMS Storetraffic, using traffic and KPI analytics to better manage store performance.

Executive summary

La Vie en Rose, a Canadian lingerie, swimwear, and sleepwear retailer with a large international store network, upgraded its people counting technology with SMS Storetraffic in 2019. The goal was to better understand how in-store traffic translated into sales performance. By using traffic, conversion rate, and transaction value KPIs, the company improved conversion rates and gave store teams clearer control over performance. The results were reported by the company’s CIO following the deployment of the updated system.


Key results

  • Conversion rate increased after the 2019 system upgrade (reported by CIO)
  • Improved visibility into weekly traffic patterns, helping identify higher-opportunity periods
  • Stronger use of KPI-based decision-making at the store level
  • Clearer linkage between traffic, customer service, and sales performance through the retail equation

Customer profile

La Vie en Rose is a Canadian retailer specializing in lingerie, swimwear, and sleepwear. The company operates more than 230 boutiques in Canada and more than 275 international locations, reflecting a large multi-location retail footprint across multiple markets.


What challenge did the customer face?

La Vie en Rose needed a clearer way to connect in-store traffic data to sales performance and conversion outcomes.

As the business expanded across multiple regions and store formats, understanding how traffic translated into results at the store level became critical for improving performance.


Why was the previous method insufficient?

Counting store traffic alone did not provide enough insight to improve conversion or customer experience.

According to La Vie en Rose leadership, the priority was not just measuring traffic volume but understanding how traffic-related KPIs such as conversion rate and average transaction value could be used to influence sales.


What did SMS Storetraffic implement?

SMS Storetraffic provided an upgraded people counting and retail traffic analytics solution focused on KPI tracking.

The implementation enabled La Vie en Rose to monitor and act on the retail equation:

  • Traffic
  • Conversion rate (hit rate)
  • Average transaction value

This framework allowed store teams to directly connect shopper activity to revenue outcomes.


How was the rollout handled?

The solution was deployed as part of a technology upgrade in 2019 within an existing long-term partnership with SMS Storetraffic.

The updated system was integrated into store operations, allowing teams to monitor traffic trends and performance metrics on an ongoing basis.


What changed after deployment?

After implementing the updated system, La Vie en Rose reported an increase in conversion rates and improved use of KPI-driven performance management.

The company used traffic analytics to:

  • Identify periods in the week with stronger conversion opportunities
  • Improve customer service during key timeframes
  • Better understand how store execution impacts sales results

“Storetraffic is not just a traffic counting company; they understand the meaning of the KPIs and how you can drive sales using these traffic-related KPIs.”
Eric Champagne, CIO, La Vie en Rose


What can similar retailers learn from this?

Retailers can improve conversion rates by using traffic data as part of a structured KPI framework rather than as a standalone metric.

This case highlights that:

  • Traffic becomes actionable when tied to conversion and transaction value
  • Weekly traffic patterns can reveal opportunities to improve performance
  • Store teams benefit from understanding how their actions influence measurable KPIs

Why this matters for similar retailers

For multi-location retailers, connecting traffic, conversion, and sales into a single measurement framework provides a practical way to improve store performance. This approach helps shift teams from reporting metrics to actively managing outcomes at the store level.

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