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Data Insights

Explore our latest publications, from industry insights to in-depth tech analysis

How Store Cannibalisation Analysis Separates Net-New Demand

How Store Cannibalisation Analysis Separates Net-New Demand

Learn how store cannibalisation analysis helps retailers separate net-new demand from transferred visits and measure the network impact of a new store.
Catchment Area Analysis for Evaluating Retail Locations

Catchment Area Analysis for Evaluating Retail Locations

Discover how catchment area analysis uses mobility, POI, people, and visit data to evaluate retail locations, market potential, and cannibalization risk.
How POI Data for EV Charging Networks Improves Site Selection

How POI Data for EV Charging Networks Improves Site Selection and Utilization

POI data helps EV charging operators, cities, and businesses place chargers where drivers naturally stop, shop, work, and travel. By using location, mobility, and foot traffic insights, POI data improves charger utilization, reduces deployment risk, and supports smarter EV infrastructure planning.
Catchment Area

What Is a Catchment Area and How Do Businesses Analyse It?

Understand what a catchment area is, how businesses analyse it, and how mobility, visit, Places, and People data improve location decisions.
12 Ways to Increase Foot Traffic in Retail Using Real-World Data

12 Ways to Increase Foot Traffic in Retail Using Real-World Data

Discover how to increase foot traffic in retail using mobility data, trade area insights, audience targeting, and campaign measurement.
Data-Driven Retail Decisions

How Data-Driven Retail Decisions Improve Stores, Markets, and Demand Planning

See how retailers use internal and external data to improve store performance, demand planning, marketing, site selection, and market expansion.
Using Geospatial Data for Retail Industry to Evaluate Sites, Trade Areas, and Markets

Using Geospatial Data for Retail Industry to Evaluate Sites, Trade Areas, and Markets

See how retailers use geospatial data to evaluate sites, analyze trade areas, compare markets, and support smarter expansion decisions.
Why Retailers Miss Demand Shifts and How Demand Sensing in Retail Helps

Why Retailers Miss Demand Shifts and How Demand Sensing in Retail Helps

See how demand sensing in retail helps teams detect store-level demand shifts using sales, foot traffic, visit, market, and consumer data.
Cluster Analysis in Retail Industry_ How to Build Better Store and Market Clusters

Cluster Analysis in Retail Industry: How to Build Better Store and Market Clusters

Cluster analysis in the retail industry helps retailers group stores, customers, products, and markets to improve planning, forecasting, and expansion.

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