Harnessing Predictive Traffic with AI Retail Media Startup Footprints
One of the challenges that retailers face is attributing money spent on digital advertising to in-store results.
Fortunately, Footprints AI is helping retailers overcome this challenge by providing them with the tools they need to accurately attribute money spent on digital advertising to in-store results. Footprints uses advanced algorithms and machine learning techniques to analyze customer data and identify patterns that can be used for attribution.
Result?
Lower customer acquisition costs, higher sales, and predictive traffic.
In this chat you will learn:
- how leveraging this technology does not require any large infrastructure investments from the retailers and works with whatever existing technology they have in place
- how retailers can take advantage of this data by targeting customers through their own media channels or synchronizing with other platforms such as Facebook Ads, Instagram Ads, TikTok Ads, Waze or Google Apps.
- How he was able to create co-sale partnerships with companies like Orange and Microsoft which were secured through a long engagement process including traveling 3000 kilometers to meet with the head of retail startups and technology innovation at Walmart
- And the funny story on how he kept missing the opportunity to make a move on the love of his life
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Past Guests:
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Past guests on Innovators Can Laugh include Yannik Veys, Ovi Negrean, Arnaud Belinga, Csaba Zajdó, Dagobert Renouf, Andrei Zinkevich, Viktorija Cijunskyte, Lukas Kaminskis, Pija Indriunaite, Monika Paule, PhD, Vytautas Zabulis, Leon van der Laan, Ieva Vaitkevičiūtė.
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