#retaillocationintelligence

A US retailer needed to understand where competitors such as ShopRite, Smart & Final, and Meijer were operating across different markets.

By collecting and structuring competitor store-location data, retailers can analyze:

→ Competitor market presence → ZIP-level store coverage → Geographic overlaps → Market gaps → Store density → Potential expansion opportunities

Large-scale competitor location data can turn thousands of individual store records into actionable retail location intelligence.

The result? A more structured way to understand competitive markets and support territory planning and expansion decisions.

Read the full case study:

Leveraging Technology to Extract Starbucks and Dunkin' Donuts Location Data for Market Insights

In today’s hyper-competitive retail landscape, understanding competitor presence and market positioning is no longer optional – it’s essential. Global coffee giants like Starbucks and Dunkin’ Donuts rely heavily on location strategy to capture foot traffic, consumer loyalty, and revenue growth.

At iWeb Data Scraping, we help businesses, analysts, and strategists extract real-time location data of Starbucks and Dunkin’ Donuts outlets to gain deeper market intelligence. This data enables you to:

Map competitor footprints across regions and cities

Identify high-traffic zones and under-served neighborhoods

Compare density and expansion strategies of both brands

Support smarter site selection and market entry decisions

Benchmark regional presence to assess competition intensity

With access to this intelligence, you can uncover growth opportunities, optimize your expansion plans, and make confident, data-driven decisions in an increasingly saturated market.