What do our clients say about us?

Learn how our clients improve the daily performance of their business thanks to Geoblink

Whitney Myrus - Partner

ITICO F+B: “We have looked at over 200 locations in half the time”

Find the right sites at the right price points to drive return on investment with Geoblink

Lucas Martínez - Customer Developer Manager Proximity

Danone: "We will be able to grow by 15% in our push channel"

Taking the product to where potential customers are with Location Intelligence

They already trust us!

Recognised as the leading application in Location Intelligence hundreds of companies from different sectors already rely on Geoblink.

Andreu Beltran - Marketing Communication Manager

Granier: artisan recipes, golden crust and location analytics

Every time we think about opening a new franchise, our expansion manager must bring Geoblink's report now.

Daniel Izquierdo - Business Intelligence Analyst

Danone BI: Gaining more strategic insights with Location Intelligence

"Geoblink empowers people to be more self-sufficient and feel comfortable"

David Abrahams - Director of Franchises at Anytime Fitness

Anytime Fitness: ein Franchise-Unternehmen in Form dank Geoblink

Wir waren in der Lage, unsere Expansionspläne zu beschleunigen, indem wir neue Expansionsmöglichkeiten entdeckten und nutzten

Javier Saiz - Head of Business and Consumer Insight

Better ingredients for a better location

Thanks to Geoblink, Papa John’s has saved 2 to 4 days in making strategic business decisions

Oscar García - National Director of Retail Intelligence

Deep market research and data insights for commercial real estate

CBRE performs commercial real estate property valuations for investors, retailers and asset managers

Iñaki Espinosa - CEO of Sqrups!

Sqrups!, from 50 to 100 stores in 12 months

The company decided to incorporate a tool that literally "allowed them to fly in its expansion process"

Iván Labora - Manager of Real Estate Expansion

Expanding the gourmet burger business

The objective is always to get the best available local options adapted to the pre-established characteristics