Discover Retail Analytics: The Google Analytics of the Retail World

1. The Retail Sector: Thriving Post-COVID

Despite challenges from the pandemic, physical stores (also known as brick-and-mortar stores) remain a cornerstone of the retail sector. In 2023, global retail sales reached $31.7 trillion, with 60% of those sales still happening in physical stores.

A survey revealed that 72% of Gen Z shoppers enjoy in-store shopping when offered immersive and personalized experiences, debunking the myth that younger generations are solely digital buyers.

2. The Complexity of Retail Today

Retail success today hinges on balancing awareness, engagement, and conversion.

In the luxury sector, where retail contributes to 60% of sales, consumers expect bespoke experiences that combine digital and in-store touchpoints. The challenge lies in engaging them effectively, as luxury buyers rarely make purchases on their first visit, instead requiring a seamless, connected journey.

The average luxury shopper engages with a brand 7–10 times before purchasing, highlighting the need for a data-driven strategy.

3. Retail Analytics: A Game-Changer for In-Store Optimization

Retail analytics enables brands to go beyond simple sales metrics, providing valuable insights into:

? Foot traffic patterns (passersby, curious visitors, and in-store behaviors)

? Staff efficiency and scheduling

? Marketing and visual merchandising performance

? Customer service experiences

With this 360° view, brands can tailor their strategies to address every department’s needs, from store operations to executive management.

4. Luxury Retail Excellence in Switzerland: A Case Study

For the past three years, we’ve collaborated with a luxury brand in Switzerland to revolutionize their in-store performance, leveraging retail analytics. By combining their internal data with insights from our analytics tools, we introduced over 70 actionable KPIs, including:

? Hourly traffic patterns

? Visitor engagement by zone

? Staff-to-visitor ratios

? Capture rates from passersby to visitors

5. Measurable Improvements: Insights Driving Results

This data-driven approach delivered significant improvements:

? Optimized Customer Pathways

By analyzing traffic flow, we enhanced underutilized areas like the iconic product section, increasing both visits and sales in high-value zones.

Visitors to these zones increased by 15%, while sales in these categories rose by 20%.

? Enhanced Staff Performance

Using traffic data, we aligned staffing schedules with peak hours (2 PM–6 PM on weekdays, 2 PM–5 PM on Saturdays). This reduced customer wait times and boosted conversion rates.

Staff efficiency improved, leading to a 30% increase in transactions per associate.

? Boosted Holiday Sales

In December, visitor numbers rose by 15% year-over-year, with a 52% increase in Saturday traffic, driven by strategic window display changes and tailored staffing.

December accounted for 35% of annual revenue, proving the impact of targeted efforts.

? Increased Engagement Despite Challenges

Although window attractiveness declined by 30%, the capture rate (passersby to visitors) improved by 11%, showing the value of timely interventions.

6. Simple, Scalable, and Ready for Action

Retail analytics solutions are designed for seamless integration, making them scalable across diverse store formats. From installation to insights, the process is straightforward and yields immediate benefits.

Most clients see measurable improvements in under three months, thanks to the actionable insights provided.

7. Want to Know More? Let’s Talk!

Transform your retail operations with data-driven innovation. Whether you’re a luxury brand or a high-street retailer, retail analytics can unlock new growth opportunities. Reach out today to explore how we can help.

Sources: Mastercard, Statista, McKinsey & Company, Kochava, Chamber Suisse, Luxury Society, Forbes, Harvard Business Review, Gartner, University of Western Australia (UWA).

Insights: Vadim Wichmann , Candice Pisiou , Lise Bataille