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Author: Beth Kindig

Beth Kindig has published over 700 articles in the last 6 years exclusively on technology and startups. She has held product marketing and developer evangelist roles at tech companies representing products in data, security, internet of things, connected cars, connected home, mobile, encryption, health care, and finance tech. Her articles have been featured in Venture Beat, MediaPost, AdExchanger, and the International Association of Privacy Professionals. She has written over 30 reports and whitepapers on enterprise technologies. She has been a speaker at Android Developers Conference, GamesBeat, Advertising Week NYC, Tech Week and more.

Data Science: How to Detect Lat/Long and Prevent Location Spam

Location features and data collection are becoming the peloton in mobile development. BIA/Kelsey predicted in a recent study that location targeted revenues will soar to $18.2 billion in the US in 2019, up from $4.3 billion in 2014. Similarly, Google emphasized the importance of location for mobile users by saying over 50% of mobile searches have local intent, for example, to find a shoe store nearby. Moreover, other research found that a whopping 78% of these searches resulted in an offline purchase. Clearly, having a user’s correct location is absolutely pivotal for a successful outcome, yet very few developers, publishers and advertisers truly understand the intriciacies…