LVO is a new mobile machine-learning system that uses real-time and real-life data feedback of people physically visiting locations. For the first time in mobile advertising history, LVO makes it possible for mobile ad campaigns to be optimized by real location visits, to drive incremental foot traffic for advertisers.
Although mobile advertising has come a long way, marketers still struggle to link their sales data to their campaign in real-time,” said Bill Gross, founder and CEO of UberMedia and Idealab. “LVO changes all that by allowing marketers to optimize on what matters most – real-time, real-world location visits. This method represents the next phase of mobile advertising, and has already proven to dramatically increase marketing results for automotive, fast food and hospitality brands.”
How it Works:
LVO is a machine-learning platform that uses real-world location visitation data and mobile ad campaign data to improve the performance of a marketing campaign. LVO integrates with UberMedia’s proprietary “Place Context Learning System,” which makes sense of where the mobile consumer has been, as well as, its highly sophisticated programmatic bidding tools and state-of-the-art mobile ad serving. Collectively, this data is used to make split second decisions to deploy the right ads to the right people and reallocate spending to maximize location visits (foot traffic).
National fast-food chains as well as automotive, advertisers and hotel chains have all seen location visits more than double with LVO, and over the course of one month, the average improvement in their campaigns has been three to five times better than ever before.