Two Brands, Two Strategies

Starbucks and Dunkin are the two largest coffee chains in the United States, and at first glance they might seem to be playing the same game. Both sell coffee. Both are everywhere. But when you scrape their store location data and analyze it systematically, two fundamentally different expansion strategies emerge — strategies shaped by decades of regional history, real estate philosophy, and customer targeting.

Understanding these differences through data is not just an academic exercise. For real estate investors, competing QSR brands, commercial landlords, and market researchers, the location strategies of Starbucks and Dunkin reveal actionable insights about American consumer geography.

Store Count: The Scale of Competition

As of recent data, Starbucks operates approximately 16,300 company-operated and licensed stores in the United States. Dunkin (now officially just "Dunkin'" after dropping the "Donuts" in 2018) runs approximately 9,500 US locations. That means Starbucks has roughly 70% more US locations than Dunkin — a significant lead, though Dunkin's count is substantial in its own right.

But store count alone is misleading. Dunkin operates almost entirely through franchisees, meaning each location represents an independent business operator's investment decision. Starbucks operates a mix of company-owned and licensed locations, giving corporate more direct control over site selection. These different operating models produce different location patterns when you examine the data closely.

Geographic Patterns: A Tale of Two Americas

The most striking finding from scraping and mapping both chains' store locator data is the geographic divide:

Dunkin is a Northeastern brand at its core. Dunkin's location density is overwhelmingly concentrated in the Northeast corridor. Massachusetts alone has over 1,100 Dunkin locations — more per capita than any other state. New York, New Jersey, Pennsylvania, Connecticut, and Florida round out the top states. In many Northeastern cities and suburbs, Dunkin locations outnumber Starbucks locations by a factor of 2-to-1 or more.

Starbucks dominates the West and is more nationally distributed. Starbucks has its strongest presence in California (with over 2,800 locations), Washington (its home state), Texas, and across the Western US. Unlike Dunkin, Starbucks has achieved relatively even national distribution, with meaningful presence in every state including those where Dunkin is sparse.

When you calculate locations per 100,000 residents by state, the contrast is stark. In Massachusetts, Dunkin has roughly 15 locations per 100,000 people compared to Starbucks' 5. In Washington state, Starbucks has about 10 per 100,000 while Dunkin has fewer than 2.

This geographic complementarity means that in much of the country, the two brands are not directly competing for the same real estate — they are serving different regional markets with different consumer expectations.

Urban vs Suburban Location Strategies

Scraping store addresses and cross-referencing with Census urban-rural classifications reveals different real estate philosophies:

Starbucks skews urban and high-traffic. Starbucks locations cluster in downtown business districts, university areas, upscale shopping centers, and high-foot-traffic corridors. Their store format varies significantly — from 200-square-foot kiosks in office lobbies to 15,000-square-foot Reserve Roastery flagship locations. This format flexibility allows Starbucks to penetrate dense urban environments where traditional drive-through formats would not fit.

Dunkin skews suburban and convenience-oriented. Dunkin locations gravitate toward suburban strip malls, gas station adjacencies, highway exits, and commuter corridors. The typical Dunkin is designed for speed and convenience — a quick stop on the morning commute rather than a destination for lingering.

The data shows that in the 50 largest US metro areas, Starbucks has approximately 3x the downtown (ZIP code level) location density compared to Dunkin, while Dunkin's suburban location density more closely matches Starbucks in its strongest markets.

Drive-Through Analysis

Drive-through capability is one of the most revealing data points in coffee chain location strategy, and it is directly scrapable from store locator pages:

Approximately 60-70% of Dunkin locations include a drive-through window. This aligns with Dunkin's convenience-first, commuter-oriented positioning. The drive-through is not an add-on for Dunkin — it is central to their business model, and franchise operators specifically seek real estate parcels that support drive-through configurations.

Starbucks has historically had a lower drive-through percentage (estimated at 50-60% of US locations), though the company has been aggressively increasing drive-through and pickup-only formats since 2020. New Starbucks locations are now far more likely to include drive-through capability than locations opened a decade ago.

Scraping the store attributes from both chains' locator tools over time reveals this convergence. Starbucks is increasingly adopting the convenience-oriented format that has always been Dunkin's strength, while Dunkin has been investing in store renovations and menu upgrades that edge closer to Starbucks territory.

Market Saturation Analysis

When you overlay both chains' locations on a map, market saturation patterns emerge:

Oversaturated markets: In parts of Massachusetts, Long Island, and New Jersey, the combined density of Starbucks and Dunkin locations exceeds 25 per 100,000 residents. These markets leave little room for new entrants and may see consolidation as underperforming locations close.

Undersaturated markets: Large swaths of the Mountain West, Great Plains, and rural South have fewer than 5 combined locations per 100,000 residents. These areas may represent expansion opportunities, though lower population density and different consumer preferences create economic challenges.

Battleground markets: The most interesting markets are those where both chains are present in meaningful numbers and actively competing — cities like Chicago, Philadelphia, Dallas, and Atlanta. In these markets, scraping data reveals active real estate competition, with both chains opening new locations in growing suburban corridors and mixed-use developments.

What Location Scraping Reveals About Expansion Strategy

By scraping store locator data quarterly over multiple years, analysts can track each chain's expansion strategy in near-real-time:

New store openings: Scraping new locations that appear in the store locator reveals where each chain is investing. Starbucks has been expanding aggressively in the Sun Belt (Texas, Florida, Arizona), while Dunkin has been making a concerted push westward into markets like California, Colorado, and the Pacific Northwest.

Store closures: Locations that disappear from the store locator indicate market contraction. Both chains have closed underperforming locations in recent years, with Starbucks shutting some urban locations citing safety and operational challenges, while Dunkin has trimmed in its most oversaturated Northeastern markets.

Format evolution: Changes in store attributes (drive-through additions, pickup-only conversions, co-located formats) reveal how each chain is adapting its physical footprint to changing consumer behavior.

Co-location patterns: Both chains frequently appear in the same shopping centers, intersections, and commercial corridors. Analyzing co-location frequency helps quantify how directly the two brands compete for the same customer trips versus serving complementary occasions.

Coffee Market Intelligence Through Data

The Starbucks versus Dunkin location story is ultimately a case study in how scraping publicly available location data can reveal strategic patterns that are invisible at the individual store level. The same analytical approach applies to any industry where physical location drives business performance — restaurants, retail, healthcare, fitness, banking, and beyond.

If you are interested in building location intelligence from store locator data, mapping competitive landscapes, or tracking expansion patterns in the restaurant and hospitality industry, contact ScrapeAny to learn how we can help you collect, process, and analyze location data at scale.