2018 Ad-To-Action Awards Celebrates Innovation in Location-Based Media and Marketing
Simpli.fi, the programmatic advertising platform built for the scale of localization and personalization, has been recognized by the Local Search Association (LSA) as best in class for use of location data for audience targeting, competitive intelligence, customer experience improvements and attribution for its Geo-Fencing product suite. The award was bestowed at LSA’s LSA18 Conference in Chicago on May 1.
The award honors Simpli.fi’s proprietary Geo-Fencing targeting and attribution technology, which enables advertisers to target users based on physical locations they are at or have been to, drive and measure foot traffic to physical locations, measure “last mile” conversions at physical locations, measure lift in foot traffic driven from online campaigns, and more. By deploying Simpli.fi’s Geo-Fencing with Conversion Zones solution on campaigns designed to drive foot traffic, advertisers can more effectively move prospective customers across their doorstep.
“Our Geo-Fencing suite of products delivers results for marketers who need to drive performance with precision at the local level, and Geo-Conversion Lift allows them to measure results more effectively than ever before,” said Frost Prioleau, Simpli.fi’s Chief Executive Officer. “We’re thrilled to be recognized by the Local Search Association for our leadership in leveraging location data on behalf of marketers truly seeking to connect the dots between online targeting and offline results.”
The Local Search Association Ad-to-Action Awards program evaluated entries based on the level of innovation, ability to influence and impact consumer actions, ROI potential, ease of implementation and several other criteria. The judging was performed by a diverse and notable group of industry experts from companies such as Twitter, Yelp, Foursquare, MailChimp, Digiday, Microsoft, Toyota, Facebook and others. This is the award program’s fifth year recognizing excellence in localized marketing.