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Blis now predicts future location behavior

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Blis now predicts future location behavior

Global location intelligence company Blis has released its latest innovation for the mobile advertising market: Blis Futures. Using proprietary deep learning technology, Blis Futures is an AI-powered, predictive location modeling solution. It identifies consumers most likely to visit specific locations, then provides advertisers a guarantee they will only be charged per consumer visit.  Working with Vizeum, Stella Artois is the first global brand to run a campaign using Blis Futures to drive customers into pubs, increase engagement and incite consumers to purchase.

Blis Futures uses machine learning and predictive analytics to group like data sets and identify patterns. The solution builds audience segments based on their predicted conversion rates and indicates when and where to target this audience group to achieve the advertisers’ business objectives.

“At Stella, it’s a crucial part of our mission to keep innovating to better understand our customers. Part of that is harnessing new technologies to engage with them in new ways,” says Ali Humphrey, brand manager at Stella Artois. “Thanks to Blis Futures, we are now able to recognize how our audiences behave in the real-world as well as the digital one, allowing us to engage with them at the right moment and impacting their future purchase decisions.”

Demonstrating its confidence in Blis Futures and the strength of its predictive data analysis, Blis charges advertisers only if the customer visits the intended location using performance metric, ‘Cost Per Visit.’ The launch of Blis Futures demonstrates a continued investment in physical performance metrics.

“Blis Futures allows brands and businesses the opportunity to target shoppers based on where they will be,” says Greg Isbister, CEO of Blis. “We are now able to accurately identify people who we know are either highly likely or definitely going to buy a product. This eliminates waste in spend and increases campaign performance.”

 

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