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Data Insights

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

Factors Affecting Retail Site Selection

Factors Affecting Retail Site Selection: What Actually Drives Store Performance

Explore the key factors affecting retail site selection, from demand and trade areas to competition, foot traffic, cannibalization, and site economics.
Audience Segmentation Model

Audience Segmentation Model: Choose the Right Signals, Not More Data

Learn how to choose an audience segmentation model, select the right signals, add real-world context, and build segments that improve targeting decisions.
Retail Void Analysis

Retail Void Analysis: Separating Real Market Gaps From False Opportunity

Retail void analysis finds market gaps, but not every gap signals demand. Learn how to validate trade areas, competition, and real expansion potential.
Location intelligence for retail featured image

Location Intelligence for Retail: The Decisions Behind Store Success

Location intelligence for retail helps choose better sites, plan expansion, understand competition, improve operations, and drive stronger store performance.
Store Location Data featured image

Store Location Data: The Signals That Separate a Promising Site From a Costly Mistake

Store location data combines place, traffic, demographics, trade areas, competition, and network overlap. See how each signal changes a retail site decision.
Why Precise Targeting Still Fails to Drive Conversions

Trade Area Demographics: What Market Averages Hide

Two markets can share the same average income and offer completely different audiences. How to read trade area demographics by distribution, count, and geography.
How Accurate Is Foot Traffic Data? Six Decisions Behind the Number

How Accurate Is Foot Traffic Data? Six Decisions Behind the Number

Foot traffic accuracy depends on more than one metric. Explore the six factors that shape the numbers, from location signals and sampling to validating the data against your own sites.
Why Retailers Miss Foot Traffic Targets Because of Hidden Data Gaps

Why Retailers Miss Foot Traffic Targets Because of Hidden Data Gaps

Learn why retailers miss foot traffic targets when stale or single-source places data hides closures, competitors, and shifts in local trade areas.
How to Compare Retail Locations With Similar Demographics

How to Compare Retail Locations With Similar Demographic Data

Learn how to compare retail locations using foot traffic, trade areas, competition, customer fit, accessibility, and cannibalisation risk.

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