Retail Analytics

Bring your network closer to your customers

By visualisng your data, you are free to explore ‘what-if’ scenarios in an instant.

Retail Analytics combines the data you already have with our datasets, analytics and spatial visualisation, giving you a more informed view of your data. 

By representing data on a map, you can add new layers of insight, to interrogate and explore it. You can then connect the physical and digital journeys of your customers and how they intersect with your business.

people in store

Global online retail sales are expected to grow by 22% in 2019*, in-person customer engagement always plays an essential part in delivering excellent customer service.

*eMarketer, May 2018

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Improve business management performance

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Identify locations that will increase revenue. And open new stores there faster.

Guaranteed Per Piece Pricing

Lower costs through strategic decisions driven by data.

Flexible Payment Options

Estimate store performance and support scenario management.

“Pitney Bowes’ Location Intelligence technology has allowed us to visualise and analyse where our customers are, where we should open new stores and where to focus our marketing efforts in order to attract new customers. By enriching our own customer information with geodemographic data, we can easily see where the best opportunities are for expansion. Decisions are now made based on accurate and precise information which has facilitated the rapid growth of our business.”
James Barritt, Executive Director of Zarraffa’s Coffee

How it works



We start with your core data.  For example, mapping your stores and customers.



We can then layer on extra, relevant data, such as key locations. Next, we use tools such as heat maps to analyae everything from drive-time to demographics.



You can view macro and micro data to get the full picture, make informed decisions and bring your case to life in reports.