SHOPPING MALL

Enhance shopping experience with data-driven insights 

Shoppers’ behaviour changes constantly. Data enables you to identify the trends and capitalize on any opportunity.

 
 
 
 

Every shopping mall is full of hidden potential. Find yours with Cyclops.

Increase negotiation power on leasing terms

Our solution tells the passer-by and footfall distribution across the shopping mall. With the insights of shoppers traffic, you can better understand the performance of all store locations and adjust respective rental. It provides strong evidence to negotiate with existing and prospective tenants.

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PASSERS-BY

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FOOTFALL

Identify prime locations at the shopping mall

Dwell time and heatmap allows you to identify the prime and secondary locations of the shopping mall and take appropriate actions - operating help centre, placing digital signage etc.

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DWELL TIME

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HEATMAP

Monitor pop-up / free-standing site

Heatmap visualizes the popularity of your exhibits.  Zone traffic & dwell time precisely measure how many visitors and for how long they are engaging with the booth.

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HEATMAP

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DWELL TIME

Traffic management

by zones/ floors

Footfall, passers-by and zone traffic could help you identify the most and least crowded area, so that you can take the corresponding control right away to create a better customer shopping experience.

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FOOTFALL

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ZONE TRAFFIC

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PASSERS-BY

Understand customer engagement in the shopping

The higher the engagement, the higher likelihood your customer will make a purchase! You can tell whether your customers are engaged and how long during their shopping journey. You can also identify the most and

least popular stores and events.

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ENGAGEMENT TIME

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DWELL TIME

Learn more about why Cyclops can work for shopping malls

Measure Marketing ROI

It is vital to evaluate the effectiveness of marketing campaigns. Our age and gender

data help you review if your marketing strategies successfully apply to your target audience.

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FOOTFALL

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DWELL TIME

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GENDER

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AGE GROUP

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HEATMAP

Unlock the hidden Potential of Customer data Today

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