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Data Insights

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

Audience Segmentation Analysis

Audience Segmentation Analysis: Build Better Audiences With Real-World Data

Use audience segmentation analysis with real-world data to build actionable segments, improve targeting, and measure lift across campaigns and markets.
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.
Foot Traffic Trends and Analysis- Stop Guessing Where Your Next Location Should Be

Foot Traffic Trends and Analysis: Stop Guessing Where Your Next Location Should Be

Use foot traffic trends and analysis to compare locations, forecast demand, optimize staffing, measure campaigns, and make smarter site decisions.
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 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.
Foot Traffic Attribution_ How to Measure Campaign-Driven Store Visits

Foot Traffic Attribution: How to Measure Campaign-Driven Store Visits

Learn how foot traffic attribution connects ad exposure with store visits, measures incremental lift, and improves offline campaign performance.

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