Measuring customer behaviour in-real-life

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Evolution over an average day

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Women 65+

Women 35-65

Women 15-35

Women children

Men 65+

Men 35-65

Men 15-35

Men children

The challenge

Understand trends and patternsin the behavior of customers in the store

How many people come in on an average day? What’s the peak hour? Where are the hot zones? How long do they stay? How often do they come? What is the first place in the store they go to?What’s the percentage of visitors watching my media? For how long? What best attracts their attention?How does the profile of visitors evolve over time? Do people behave differently depending on their gender and age?How do the various locations compare one another? And to global benchmarks?

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Proposed Solution

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• Alt64 delivers a full turnkey service along with Quividi and its technology partners to:

– Provide an advanced in-store measurement solution/methodology– Validate the branches chosen for the deployment of this solution– Install and setup the solution in stores– Monitor/manage the technology 24/7 to establish best quality of results– Establish meaningful KPI and produce the data reports that help you

optimize the experience in the stores– Plan technically and commercially a solution across branches to provide

the dashboards that can be used to monitor/optimize store performance and customer experience

The technologies used

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• Amoobi WiFi/Bluetooth sensors for smartphone radio tracking• Quividi VidiCube, a robust hardware plaform that allows

– Automatic processing of video for movement and flow detection– Face detection, tracking and classification

• VidiCenter: a back office in the cloud that allow the management of sensors in the field, the storage of sensors data, data coherence and analysis of data measured to produce customized reports

Those solutions are completely anonymous and respect customer privacy as they never store images or any data that can be traced

back to a single person.

A robust and discrete solution

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• Ability to use store internet or standalone 3G router solution• Robustness: works 24/7, automatically reinitialization in case of

power shutdown. Remote monitoring and automatic IT notification in case of hardware issue

• Discrete cameras (3x8x2cm) and easy to install/hide hardware (VidiCube 12.5x12.5x3 cm et Amoobi 20x11x6 cm) that can be fixed on walls or installed in the branch ceiling

The measurementsNumber of visitors and demographic categories (gender and age categories: child, young adult, adult, senior) Presence depending on time of day/period (day, week, month,….) Average dwell time in branch Traffic dans l’agence et ses départements dwell and attention time to a measured point (digital signage, poster, windows, shelf … etc.) Conversion Rates (entrance to aisles to shelf to product..)

And any combination TBD !!!

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Wave Division deliverables

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Optional : Help to select statiscally relevant sample of branches to be measured KPIs (totals, averages, ratios, …) as reports on frequency TBD adapted to the graphical charts/logo requirements from customer Study of customer flows/paths in store Comparison by period, by site, by demographic group Analysis of trends (average days /weeks,…)

Other Possible analysis

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Benchmarking between location/industries/period of time Data-mining and correlation (sales number, wait tickets, demographics, playlist of played media on digital screen etc.) Customer loyalty and customer satisfaction (using satisfaction kiosks) Comparison of various branch layouts (before/after, concept stores …) Study on the impact of windows and any promotional media (digital screens, posters…)

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About Quividi?

Pioneered Ananymous Face Detection in 2007 The leader of OOH (Out of Home) audience measurement Date Measurement, management and analytics for 200 clients

dans 43 countries with 2.5 B+ faces detected

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www.alt64.com www.quividi.comwww.medicionaudiencia.com