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GeoIp2\Model\City Object
(
    [raw:protected] => Array
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            [city] => Array
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                    [geoname_id] => 4509177
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                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
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                            [fr] => Amérique du Nord
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                            [pt-BR] => América do Norte
                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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                            [ru] => США
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                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [ru] => США
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                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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                    [iso_code] => US
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                            [ru] => США
                            [zh-CN] => 美国
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    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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                    [network] => 216.73.216.0/22
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                )

        )

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                            [zh-CN] => 哥伦布
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                    [latitude] => 39.9625
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            [validAttributes:protected] => Array
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            [validAttributes:protected] => Array
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                                    [pt-BR] => Ohio
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)

 country : United States
 city : Columbus
US
Array
(
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    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)

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  • Starbucks vs Dunkin Geographic Footprint Analysis

Starbucks vs Dunkin Geographic Footprint Analysis - A U.S. Market Case Study

Explore the U.S. market with Starbucks vs Dunkin Geographic Footprint Analysis, revealing expansion trends, store distribution, and competitive insights.

Download Case Studies

GeoIp2\Model\City Object
(
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                            [ru] => Колумбус
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                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
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                            [zh-CN] => 美国
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        )

    [continent:protected] => GeoIp2\Record\Continent Object
        (
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                    [names] => Array
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                            [de] => Nordamerika
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                            [fr] => Amérique du Nord
                            [ja] => 北アメリカ
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                            [ru] => Северная Америка
                            [zh-CN] => 北美洲
                        )

                )

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        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [geoname_id] => 6252001
                    [iso_code] => US
                    [names] => Array
                        (
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                            [en] => United States
                            [es] => Estados Unidos
                            [fr] => États Unis
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                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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        )

    [locales:protected] => Array
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    [maxmind:protected] => GeoIp2\Record\MaxMind Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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            [validAttributes:protected] => Array
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        )

    [registeredCountry:protected] => GeoIp2\Record\Country Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [iso_code] => US
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                            [es] => Estados Unidos
                            [fr] => États Unis
                            [ja] => アメリカ
                            [pt-BR] => EUA
                            [ru] => США
                            [zh-CN] => 美国
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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                    [1] => geonameId
                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
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        )

    [representedCountry:protected] => GeoIp2\Record\RepresentedCountry Object
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                )

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            [validAttributes:protected] => Array
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                    [0] => confidence
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                    [2] => isInEuropeanUnion
                    [3] => isoCode
                    [4] => names
                    [5] => type
                )

        )

    [traits:protected] => GeoIp2\Record\Traits Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
                (
                    [ip_address] => 216.73.216.213
                    [prefix_len] => 22
                    [network] => 216.73.216.0/22
                )

            [validAttributes:protected] => Array
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                    [8] => isHostingProvider
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                    [13] => isSatelliteProvider
                    [14] => isTorExitNode
                    [15] => mobileCountryCode
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                    [19] => staticIpScore
                    [20] => userCount
                    [21] => userType
                )

        )

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            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                            [en] => Columbus
                            [es] => Columbus
                            [fr] => Columbus
                            [ja] => コロンバス
                            [pt-BR] => Columbus
                            [ru] => Колумбус
                            [zh-CN] => 哥伦布
                        )

                )

            [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
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            [validAttributes:protected] => Array
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    [location:protected] => GeoIp2\Record\Location Object
        (
            [record:GeoIp2\Record\AbstractRecord:private] => Array
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                    [latitude] => 39.9625
                    [longitude] => -83.0061
                    [metro_code] => 535
                    [time_zone] => America/New_York
                )

            [validAttributes:protected] => Array
                (
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                    [1] => accuracyRadius
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                    [8] => timeZone
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        )

    [postal:protected] => GeoIp2\Record\Postal Object
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            [validAttributes:protected] => Array
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                    [1] => confidence
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        )

    [subdivisions:protected] => Array
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                            [geoname_id] => 5165418
                            [iso_code] => OH
                            [names] => Array
                                (
                                    [de] => Ohio
                                    [en] => Ohio
                                    [es] => Ohio
                                    [fr] => Ohio
                                    [ja] => オハイオ州
                                    [pt-BR] => Ohio
                                    [ru] => Огайо
                                    [zh-CN] => 俄亥俄州
                                )

                        )

                    [locales:GeoIp2\Record\AbstractPlaceRecord:private] => Array
                        (
                            [0] => en
                        )

                    [validAttributes:protected] => Array
                        (
                            [0] => confidence
                            [1] => geonameId
                            [2] => isoCode
                            [3] => names
                        )

                )

        )

)

 country : United States
 city : Columbus
US
Array
(
    [as_domain] => amazon.com
    [as_name] => Amazon.com, Inc.
    [asn] => AS16509
    [continent] => North America
    [continent_code] => NA
    [country] => United States
    [country_code] => US
)
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Navratri Mega Sale Price Tracking

Introduction

Understanding market presence and expansion patterns is critical in the highly competitive coffee retail industry. Actowiz Solutions leveraged Starbucks vs Dunkin Geographic Footprint Analysis to help businesses gain actionable insights into the U.S. coffee shop landscape. By analyzing store locations, market density, and geographic trends, the study provided a clear view of competitive positioning. The approach combined advanced web scraping techniques and location intelligence to map store distribution and identify growth opportunities. Using tools like Geographic Distribution of Starbucks vs Dunkin and Starbucks vs Dunkin Store Presence Analysis, the analysis revealed key differences in regional penetration, particularly in urban and suburban markets. By integrating Starbucks and Dunkin web scraping with real-time location tracking and store data, Actowiz Solutions delivered a comprehensive view of market dynamics. This case study highlights how Starbucks vs Dunkin Geographic Footprint Analysis can guide strategic decisions, optimize expansion plans, and enhance competitive intelligence in the U.S. coffee market.

The Client

The-Client

The client is a leading consulting firm specializing in retail market strategy and competitive benchmarking. They assist coffee chains and other quick-service restaurants in understanding market dynamics and making data-driven decisions. The client needed a comprehensive analysis of Starbucks and Dunkin store locations to evaluate geographic penetration, identify market gaps, and support strategic planning. Traditional methods of manual data collection were inefficient and failed to provide real-time insights. By partnering with Actowiz Solutions, the client leveraged Starbucks vs Dunkin Geographic Footprint Analysis to obtain accurate, structured, and up-to-date data on store locations across the U.S. Tools like Scrape Starbucks and Dunkin store locations in the U.S and Starbucks vs Dunkin New York Store Count enabled precise mapping of regional footprints. With additional capabilities such as Starbucks store location data scraping and Real-time Dunkin location tracking in USA, the client could monitor competitor activity and benchmark performance efficiently. The solution provided actionable insights to support expansion strategies, marketing decisions, and competitive analysis.

Key Challenges

The client faced multiple challenges in analyzing the U.S. coffee shop market. First, accurately mapping the geographic footprint of two major competitors, Starbucks and Dunkin, required access to up-to-date store location data, which was fragmented across websites and platforms. Manual collection of this data was labor-intensive, prone to errors, and difficult to scale. Another challenge was tracking changes in real-time, such as new store openings or closures, to maintain accurate insights. Comparing regional penetration and density required consolidating massive datasets into a usable format. Understanding store distribution in high-competition areas, including Tier-1 cities like New York, was essential but challenging without automation. Additionally, the client needed to extract insights that could guide strategic decisions such as site selection, marketing focus, and competitive benchmarking. Finally, integrating this data with broader Dunkin vs Starbucks Store Locations and market intelligence to identify growth opportunities required advanced analytics capabilities. The client needed a solution that combined Coffeeshop Company Data Scraping, Scrape Store Location Data, and Location Intelligence Solutions to deliver comprehensive, real-time, and actionable insights efficiently.

Key Solutions

Actowiz Solutions implemented a robust solution leveraging Starbucks vs Dunkin Geographic Footprint Analysis to provide detailed insights into U.S. store distribution. The team used Starbucks and Dunkin web scraping and Scrape Starbucks and Dunkin store locations in the U.S to collect comprehensive store location data. Automated Starbucks store location data scraping and Real-time Dunkin location tracking in USA ensured continuous monitoring of new openings, closures, and regional trends. The collected data was processed and analyzed to generate Starbucks vs Dunkin Store Presence Analysis, highlighting areas of high density, untapped markets, and competitive overlap. In-depth mapping with Geographic Distribution of Starbucks vs Dunkin provided visual insights for strategic decision-making. For detailed competitor benchmarking, Actowiz Solutions applied Dunkin vs Starbucks Store Locations analytics and combined it with Coffeeshop Company Data Scraping techniques. Web Scraping Services and Scrape Store Location Data enabled scalable data collection across thousands of store locations, while Location Intelligence Solutions translated raw data into actionable insights. By leveraging Starbucks vs Dunkin Geographic Footprint Analysis, the client gained a complete view of market penetration, regional strengths, and growth opportunities. The solution empowered data-driven decisions for site selection, expansion planning, and competitive strategy, delivering measurable value across the U.S. coffee market.

Client Testimonial

“Actowiz Solutions provided unparalleled insights through their Starbucks vs Dunkin Geographic Footprint Analysis. The comprehensive data collection and real-time tracking allowed us to understand market penetration, regional density, and competitor presence effectively. Tools like Starbucks vs Dunkin Store Presence Analysis and Real-time Dunkin location tracking in USA helped us make informed decisions for expansion and strategic planning. The team’s expertise in Location Intelligence Solutions and Web Scraping Services made the entire process seamless. With these insights, we were able to optimize market entry strategies, evaluate high-potential regions, and strengthen our competitive position. Actowiz Solutions is a reliable partner for data-driven market intelligence.”

— Director of Market Strategy

Conclusion

Through Starbucks vs Dunkin Geographic Footprint Analysis, the client gained actionable insights into store distribution, regional penetration, and competitive dynamics across the U.S. market. By integrating Geographic Distribution of Starbucks vs Dunkin, Starbucks vs Dunkin Store Presence Analysis, and Dunkin vs Starbucks Store Locations, Actowiz Solutions provided a clear understanding of market density and growth opportunities. Starbucks and Dunkin web scraping, along with Scrape Starbucks and Dunkin store locations in the U.S, ensured accurate and real-time data collection. Advanced analytics using Starbucks store location data scraping and Real-time Dunkin location tracking in USA enabled proactive decision-making for expansion and competitor benchmarking. Leveraging Coffeeshop Company Data Scraping, Scrape Store Location Data, and Location Intelligence Solutions, the client could optimize strategic planning and identify high-potential markets efficiently. This case study demonstrates how Starbucks vs Dunkin Geographic Footprint Analysis delivers actionable insights, supports data-driven strategies, and strengthens market positioning for businesses in the competitive coffee retail industry.

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Data Analyst, Aditya Birla Group

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Organic Grocery / FMCG

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Improved

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Product Manager, 24Mantra Organic

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Quick Commerce

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Business Development Lead,Organic Tattva

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Beverage / D2C

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Faster

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“The data scraping services offered by Actowiz Solutions have been crucial in refining our strategies. They have significantly improved our ability to analyze and respond to market trends quickly.”

Marketing Director, Sleepyowl Coffee

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Enhanced

stock tracking across SKUs

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With hourly price monitoring, we aligned promotions with competitors, drove 17%

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