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Data Insights

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

demand forecasting methods

Demand Forecasting Methods: A Practical Guide to Choosing the Right Approach

Demand forecasting methods help businesses estimate future demand across inventory, operations, and growth planning. By combining qualitative, quantitative, causal, and AI-based approaches with real-world signals like mobility, visit behavior, POI context, and audience data, teams can improve forecast accuracy, detect demand shifts earlier, and make smarter planning decisions.
High street vs mall_ Retail Opportunities and Risks

High street vs mall: Retail Opportunities and Risks

The high street vs mall decision helps retailers choose locations that best match their customers, store format, cost structure, and growth goals. By comparing footfall quality, visibility, accessibility, surrounding businesses, audience fit, and profitability potential, retailers can reduce site risk and make more confident location decisions.
Retail Location Analysis: A Data-Driven Guide to Site Selection

Retail Location Analysis: A Data-Driven Guide to Site Selection

Retail location analysis helps businesses choose stronger store sites by combining foot traffic, mobility, demographics, POI, competitor, and trade area data. By moving beyond static market reports and using real-world behavior signals, retailers can better understand local demand, reduce site selection risk, and make more confident expansion decisions.
Retail Store Cannibalization

Retail Store Cannibalization: Why New Store Openings Drain Sales and How to Stop It

Retail store cannibalization happens when a new location shifts visits and sales away from nearby stores instead of creating new demand. By using mobility and location intelligence to measure catchment overlap, simulate expansion scenarios, and track post-launch demand shifts, retailers can reduce expansion risk and protect network performance.
Customer Shopping Behavior Across Locations

Customer Shopping Behavior Across Locations: What Transactions Miss and How to Measure It

Customer shopping behavior data helps retailers understand how people visit, move between, and engage with physical locations over time. By combining privacy-safe people and visit data, businesses can uncover visit frequency, dwell time, cross-shopping, repeat behavior, and location-level differences that transaction data alone cannot explain.
Micro-Catchment Footfall: How Retailers Can Spot Shifting Demand at a Street-Block Level

Micro-Catchment Footfall: How Retailers Can Spot Shifting Demand at a Street-Block Level

Micro-catchment footfall helps retailers understand demand at the block, street, and intersection level. By identifying where foot traffic is rising, weakening, or shifting around each store, retailers can improve hyper-local marketing, staffing, inventory planning, site selection, and competitive response.
Retail Geo-targeting Strategies for Holiday Marketing

Retail Geo-targeting Strategies for Holiday Marketing

Holiday geo-targeting helps retailers move beyond broad campaigns by using real-world signals like events, weather, traffic, footfall, competition, and local economics. By aligning media spend with store-level demand and operational capacity, brands can reduce wasted budget, improve ROI, and deliver more relevant holiday campaigns.
Top 5 Location Data Providers

Top 5 Location Data Providers In The Industry

Location data providers help businesses understand where people go, how places perform, and where opportunities exist. By comparing providers on accuracy, freshness, coverage, integration, flexibility, and privacy, businesses can choose the right partner for site selection, mobility analysis, marketing, logistics, and real-world decision-making.

Points of Interest API: What It Is, How It Works, and Business Use Cases

A Points of Interest API gives businesses structured, up-to-date data on real-world locations such as restaurants, stores, landmarks, hospitals, and public facilities. It helps power smarter search, site selection, routing, personalization, and location intelligence across industries.

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