Case Study
How Aesop Grew In-Store Conversion Rates by 4 Percentage Points
Summary
Aesop transformed its retail operations by adopting data-driven labor planning with StoreForce. By aligning staffing to peak traffic periods and empowering store leaders with actionable insights, Aesop improved in-store conversion rates from 49% in 2024 to 53% in 2025—a 4 percentage point increase—while achieving double-digit revenue growth with the same labor hours.
Key Takeaways:
- In-store conversion increased from 49% (2024) to 53% (2025)—a 4 percentage point lift by targeting 90% peak coverage.
- Maintained the same labor hours as the previous year while achieving double-digit revenue growth.
- Finance, operations, and store leadership aligned on a single data-driven playbook.
ABOUT
Aesop is a global luxury skincare brand celebrated for its sophisticated, plant-based formulas and its architectural store designs. Every Aesop space is unique, thoughtfully co-created with designers and artists, serving as a physical extension of the brand’s minimalist ethos and reverence for experience.
Co-created with designers and artists, serving as a physical extension of the brand’s minimalist ethos and reverence for experience.
With nearly 400 locations in 27 countries, including a growing presence in North America, Aesop faces the operational challenge of combining luxury service with labor precision, all without compromising the intentional calm of its stores.
Learn More: https://www.aesop.com/ca/en/r/about/

The Problem
Like many retailers, Aesop used to build its labor plans from the bottom up.
Each store estimated its needs, finance translated those into budgets, and wage percentage acted as the primary anchor. This approach worked for a while, until it didn’t.
The inefficiencies became hard to ignore:
– Stores were operating in silos.
– Coverage assumptions weren’t grounded in traffic patterns or sales behaviors.
– And their tools become disconnected, inconsistent, and manual.
Aesop’s Retail leaders knew they needed a better way. Transforming the model required clarity, collaboration, and most importantly, trust in one another.
Recognizing the Need to Evolve
The shift toward a more data-informed labor strategy came from both experience and necessity. For leaders Pauline Notari, Director of Retail Operations, and Dave Ferruggia, Head of Commercial Retail North America, the shift wasn’t theoretical.
Both had led payroll transformations before, but this time, the stakes were higher.
“We were using five different tools,” said Pauline. “Payroll was based on sales assumptions, and the system felt disjointed. StoreForce didn’t just streamline the process, it helped us ask better questions.”
Aesop started moving away from static wage percentage allocations and built more responsive, store-specific models. However, this shift wasn’t about turning operations into spreadsheets. It was about creating a system that reflected how the business actually worked in the field.
The Solution
Unlike grab-and-go Retail, where speed is everything, Specialty Retail is built on connection. In categories like apparel, footwear, and home décor, shoppers don’t just want to buy, they want to be guided.
Personalized service, thoughtful recommendations, and a sense of trust all play a critical role in the path to purchase. That’s why effective labor planning in Specialty Retail must start with the shopper.
Bottom-up scheduling handles execution. Top-down planning begins with visualizing traffic patterns and layering in the people who bring the brand to life, your associates.
StoreForce became the platform that kick-started Aesop’s labor transformation. Not by dictating a new philosophy, but by giving their teams the validation to evolve their approach.
Key Shifts Included:
– Bringing all stakeholders into one system: Finance, HR, Commercial Ops, and Store Leadership.
– Building a payroll model based on data and impact, not just inherited percentages.
– Driving peak hour planning using real-time traffic and performance insights.
– Capturing non-sell activity with clarity, making non-selling hours visible and meaningful.
“The math is the math,” said Dave. “StoreForce helped depersonalize the conversation between departments. It became a neutral ground where we could see the data and work together.”
The Results
Aesop’s labor planning evolution was measurable and has shown eye opening results. Here’s how it looked on paper:
Focus Area | What Changes with StoreForce | Impact on the Business |
In-Store Conversion Rates | Scheduling to 90% Peak Coverage | Acheived a 4 percentage pt increase in in-store conversion rates to 53% |
Revenue Growth | Strategic Labor Banding | Maintained the same labor hours as the previous year while achieving double-digit revenue growth |
Peak Coverage | Top-down instead of Bottom-up Labor Planning | Consistently hitting conversion rates that are above the company average |
Wage Costs vs. Sales | Strategic Labor Banding | Sales ↑ / Costs ↓; Balanced Q1 budget amid unexpected PTO |
Operational Alignment | Unified planning across teams through one source of truth | Finance, Ops, HR collaborating with real-time data; eliminating bias. |
Highlight Store Capacity with Available Resources | Adopting the Available Capacity Report | Improved understanding of store capacity and scheduling selling hours |
Culture Eats Strategy for Breakfast
and Then Builds a Better One
From the start, Aesop approached this as a people-first transformation.
“We knew we had to involve our Store Managers during the solution roll-out,” Pauline explained. “They’re used to running a business. If they feel like they’re part of the process, the buy-in is real.”
This meant training, dialogue, dry runs, and the launch of a Super User Program—a group of field leaders who could coach peers, gain insights, and reinforce StoreForce education at scale.
This helped reframe how scheduling decisions are made:
– Store Managers began asking, “How can I be profitable with the hours I have?”
– District Managers started owning their P&Ls, using StoreForce data to dynamically adjust schedules.
– Teams across Canada reported clearer, more efficient weekend coverage, resulting in stronger, more focused customer experiences without overstaffing.
Aesop’s transition was a mindset shift.
Store Managers became more financially fluent. District Managers leaned into strategic coaching. And leadership stopped working in silos.
“We used to operate in silos,” one leader said. “Now, we’re building an even stronger team.”
Their case proves that when you lead with clarity, data, and empathy, the transformation feels natural and produces incredible results.
Drive In-Store Conversion Rates, Optimize Costs,
and Align Your Teams
Aesop increased in-store conversion by 4 percentage pts and maintained the same labor hours as the previous year while achieving double-digit revenue growth. By adopting StoreForce’s data-driven scheduling platform, you can develop the same processes:
– Achieve 90% peak coverage to obtain above company average in-store conversion rates.
– Balance wage costs against sales in real time, even during unexpected labor challenges.
– Unite finance, operations, and store leadership with a shared, actionable playbook.
Optimize Labor Planning with StoreForce
StoreForce’s Labor Banding tool helps you allocate the right hours to the right stores, balancing selling and non-selling activities. This drives better conversion, improves efficiency, and gives your teams more flexibility.
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