CommuteStream Launches Network to Use Mass Transit Patterns to Target Consumers

February 21, 2014

5:14 pm

This week, Chicago-based CommuteStream launched a platform to offer brands a new way to reach consumers based on commute patterns. Using “Predictive Geo-Targeting” to display content based on individual rider travel routines and preferences, applications that collect transit data can use the patent-pending technology to display locally relevant advertisements to riders using their app.

This technology will allow companies to grab the attention of consumers as they zip by on public transportation. For example, a local bar can promote a daily special to consumers that take a train or bus line that passes by their location.

“With smartphones taking over, understanding riders on an individual level, and in the context of the transit system, opens up major hyper-local advertising possibilities and new markets,” CommuteStream co-founder Samuel Pro said. “It puts the power of highly-targeted mobile advertising, traditionally reserved for large brands and agencies, into the hands of businesses that didn’t previously have any affordable or easy to use options.”

Within a month, CommuteStream expects to be able to offer more than 1,000,000 impressions per month of these hyper local advertisements. You can learn more about how CommuteStream is changing the future of advertising on their website.

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Meg Rayford is a communications consultant based in Northern Virginia. She previously spent two years as the Director of Public Relations for a nonprofit startup, where she learned a lot about providing clean water for impoverished countries, even within the confines of a bootstrapped startup. She is the editor of Tech Cocktail, and she develops media strategies for companies in Washington, DC and Virginia. You can read her most recent work in the marketing chapter of the upcoming book, "Social Innovation and Impact in Nonprofit Leadership," which will be published in Spring 2014 by Springer Publishing. Follow her @megkrayford.

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