KeyMe, a technology company revolutionizing the antiquated locksmith industry through robotic key duplicating kiosks, utilizes a model to best predict which sites will be best for new kiosks. However, that model lacked real-time traffic data that could supply accurate information on shorter-term trends and immediate human mobility behavior.
Unacast, the leader in transparent, contextualized location data, offered KeyMe real-time location data to use in their model. The foot traffic data provided insights into where and how people were moving in the real world, allowing for more accurate detail and context than KeyMe’s initial data sources alone.
KeyMe's site selection model demonstrated clear improvements following the addition of Unacast data. Because the model is now capable of more nuanced, accurate predictions, KeyMe can make better site selections and ultimately generate higher revenue.
The cohort of new kiosks installed after KeyMe updated the model to use Unacast data have so far shown, on average, 52% higher revenue than the kiosks installed in the prior 6 months.
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