Company intelligence
RetailSonar
Design your most profitable location network thanks to best-in-class data combined with a revolutionary AI model.
About RetailSonar
RetailSonar empowers your business with a fine-tuned application to optimize your retail network. Maximize your network's profitability by making smarter location decisions to quickly identify hotspots, carefully close locations with minimal churn and optimizing your current locations' performance. Our clients benefit from powerful insights and make solid, data-driven decisions with their own RetailSonar Platform. Our solutions: π Your optimal network: Where are your hotspots for opening a point of sale? How much of a cannibalisation effect will opening a new store have on your existing branches? Where can I recover customers if I decide to close a point of sale? Map your optimum network with the highest possible level of accuracy. π Improve your results: Which locations perform better or worse than others? What are the root causes of this? Identify the actions you must take to improve the performance of your locations. π Reach the right customer: How can I define my target audiences? Which customers should I select for my campaign? And which message should I send them? Drastically increase the ROI of your marketing campaigns.
Verified activity
Signals from RetailSonar
4 published signals
Products & Services
RetailSonar's PropertyScanner runs on the most complete retail database in Europe.
Reported by RetailSonar
Presence & Recognition
RetailSonar announced a development opportunity for retail real estate in Belgium on 15 September.
Reported by RetailSonar
Presence & Recognition
RetailSonar hosted a webinar on October 1st discussing QSR expansion, system gastronomy, and expansion in the retail sector.
Reported by Jascha Metin
Research & Knowledge
RetailSonar ran the numbers on the full list of 157 German home dΓ©cor locations, finding that the Depot at Stern-Center in Potsdam pulled 760 pedestrians and 758 cars on a daily basis.
Reported by RetailSonar