Adidas opened its first Middle East flagship in Dubai Mall — a massive store serving a diverse, international audience. The team already had strong retail instincts, but wanted to go further: sharper data on how customers engage with activations, more precise staffing, and a way to measure what drives results across every part of the store.
January 2025
Supercharging In-Store Activations for Adidas Dubai
Discover how Adidas UAE turned its existing CCTV into a powerful analytics engine — sharpening staffing, boosting product engagement, and delivering a 9X return on investment.
33%
More engagement with product displays
15%
Improved staff allocation
9X
Return on investment
This proves how impactful Aura Vision is as a tool
It not only validates our strategies but also gives us the confidence to make data-driven decisions that ultimately grow the business.
Samantha Turner
Business Transformation Manager, Adidas
Why Adidas Dubai chose Aura Vision
The team wanted advanced analytics to build a stronger activation strategy for the UAE. The key drivers were clear:
- Demographic segmentation — Understanding diverse customer behaviours across gender and age groups in the UAE.
- Optimising large-format stores — Aligning staffing with visitor trends and peak hours.
- Tailored insights for stakeholders — Custom reporting for Store Operations, Development, and Omnichannel Activation teams.
- Evaluating campaign performance — Measuring the impact of visual merchandising and in-store promotions.
- Future-proof technology — AI-powered insights that go beyond what previous tools could offer.
The team had previous experience with full-store analytics, but wanted a solution that exceeded existing technologies. After a thorough vendor evaluation, Adidas chose Aura Vision for its depth and simplicity. The platform works like Google Analytics for physical stores — privacy-first, AI-powered, and built for retail teams who need answers fast.
What the platform delivered
Aura Vision gave the Adidas team a complete picture of how customers move through and interact with their stores.
At the foundation is AI-powered demographic analysis — breaking down visitors by age and gender while automatically separating staff from customer counts. This alone transformed the accuracy of conversion reporting and gave the team a true read on who's in the store.
From there, product engagement tracking showed exactly which displays and categories attract the most interaction, while heatmaps and path analysis revealed where customers linger, which routes they take, and which areas they skip. Together, these insights made it possible to redesign activations with real evidence behind every decision.
On the operations side, till time monitoring kept service levels visible, and the headcount planner recommended precise staffing levels by area and time slot based on actual visitor patterns. No more guesswork on rotas.
Finally, custom dashboards gave each team — store ops, visual merchandising, area management — their own tailored view, with a location summary dashboard that lets Area Managers compare performance across all flagship stores at a glance.
What changed
With these insights in hand, the Adidas team made real changes — and saw real results.
Activations that connect. Using heatmaps and demographic data, the team redesigned product displays and ran A/B tests to find what resonates. The result: 33% more customer engagement with key product areas.
Smarter staffing. The headcount planner showed exactly where and when staff were needed most. Schedules were rebuilt around real traffic — leading to a 15% improvement in staff allocation and smoother service across the store.
One view across all stores. Area managers got a single dashboard covering every flagship location, making it easy to compare performance, spot opportunities, and standardise best practices.
All of this added up to a 9X return on investment.
What's next
Adidas UAE continues to expand its use of Aura Vision across the region. The flagship stores are now a benchmark for how data can make in-store activations sharper, staffing smarter, and retail teams more confident — without adding complexity on the ground.
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