CUSTOMER STORIES
How Goiko uses CARTO for international expansion with data-driven site selection
Goiko
Goiko
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The Client
GOIKO Grill is a Spanish gourmet-burger restaurant chain founded in 2013 and recognized for its high-quality products, efficient service and good ambience of its venues. To this day, GOIKO is present in Spain and France and has a total of 106 stores across both countries.
The Challenge
GOIKO was working on their international expansion but these efforts were paused due to the COVID pandemic. With regained momentum in 2021, the goal was to expand to different European countries such as Italy, France, and Germany. However, GOIKO faced challenges with sourcing appropriate data for their new markets. Consequently, the company lacked data-driven insights into key drivers for their site selection process such as proximity to target demographic and socioeconomic segments.
By converting data into relevant insights, GOIKO was looking to minimize the risk of opening new restaurants.
Results
GOIKO recognizes the critical importance of Location Intelligence in site planning, and CARTO’s expertise in the space to deliver a scalable solution that will reduce risk in new markets and contribute to more profitable business decisions for an ambitious expansion plan.
With a goal to increase branch coverage across Europe, Goiko uses their existing branch data to keep track of store profitability and predict revenue of new site openings in different countries. In addition to this, the company is able to keep expanding their brand in Spain.
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Why CARTO?
GOIKO chose CARTO due to the selection of data available (more than 12,000 datasets globally), the ability to have an off-the-shelf solution (vs building from zero) and the possibility to have support from a world-class team of data science and development experts.
CARTO for Site Selection allows business users to view & understand the demographics of customers in existing locations as well as analyze whitespace for new expansion opportunities using store performance and third-party geospatial data. Users can easily model and predict the performance of new locations to maximize ROI.
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