Read post

11.09.25

Visualising market potential through area-level performance insights

Discover how market potential analysis and visualisation drives smarter business decisions....

Retail

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01.09.25

Maximising margin with area-specific pricing models

As competition, costs, and customer demands are in constant flux in today's world, embracing dynamic pricing models is no longer a nice-to-have....

Retail

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26.08.25

Unlocking commercial value through integrated location analytics

Geospatial data visualisation is becoming a key weapon of commercial strategy across many sectors. Here's why....

Retail

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19.08.25

Identifying high-value customer segments using cluster analysis

Learn how to use cluster analysis and geodemographic segmentation to uncover high-value customer segments and boost your retail strategy....

Retail

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15.08.25

Aligning product distribution with localised demand signals

How localised demand signals can refine your product distribution strategy, improve availability, and boost conversion rates with supply chain analytics....

Retail

Read post

11.08.25

Why your retail marketing is targeting the wrong customers (and what to do about it)

Most retailers waste budget targeting the wrong customers. Discover why legacy targeting fails and how to find untapped, high-value customers with data....

Retail

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04.08.25

Translating geodemographic patterns into targeted customer strategies

Discover the key to precise targeting, and how geodemographic segmentation can refine customer acquisition strategies. ...

Retail

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06.06.25

Combining geospatial data with sales metrics for deeper retail insights

We’ll start by outlining how to gather and segment your retail sales metrics effectively, before looking at how to layer in geospatial context, from customer catchments to product spend potential....

Retail

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30.05.25

Identifying market gaps and new opportunities using geospatial data

By combining retail data with mapping technologies, businesses can now uncover previously hidden insights about their customers, competitors, and untapped potential....

Retail

Category: Retail

Visualising market potential through area-level performance insights

Maximising margin with area-specific pricing models

Unlocking commercial value through integrated location analytics

Identifying high-value customer segments using cluster analysis

Aligning product distribution with localised demand signals

Why your retail marketing is targeting the wrong customers (and what to do about it)

Translating geodemographic patterns into targeted customer strategies

Combining geospatial data with sales metrics for deeper retail insights

Identifying market gaps and new opportunities using geospatial data

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