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Waiting On A Train with Location-Based Targeting

map2The convergence of local and mobile is impressive in every way. 

More than half of all Google searches today are started on a mobile device (i.e., smartphones), and consumers are looking for products within the geographic area they are residing or visiting with immense regularity.

What's more, according to research by the Location-Based Marketing Association (LBMA), marketers are spending a quarter of their budgets on location targeting, and more than half of brands are using location data to reach consumers.

As industry watchers might imagine, the need for such location targeting is driving growth for software and solution offerings that can provide such capabilities. 

Transit-mobile advertising network CommuteStream, for example, is expanding into 11 additional U.S. markets in addition to its presence in Chicago, Boston and Pittsburgh, indicating some optential in the company's offerings.

CommuteStream uses predictive analytics and travel pattern data, doing what it calls “commute-based targeting” and "learning the routines of commuters in order to serve them highly relevant advertising". Thanks to the fixed nature of transit stops and stations, the data that CommuteStream can gather provides advertisers a new level of accuracy in the ability to target prospective customers.
 
“CommuteStream’s growth reflects both the increasing demand for location-based targeting within the marketing space, as well as a growing need for more efficient and less-intrusive advertising in the app space,” said Samuel Pro, CEO and co-founder of CommuteStream. “While brands are certainly doing impressive things with location-based tactics, capitalizing on the commute can take these efforts to a new level. Data-driven, commute-based targeting can help marketers better engage with riders and is a no-brainer for boosting the performance of transit-based out-of-home advertising..”
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