Tag: location based technology

The ride share service mobile app has just confirmed that its update includes critical changes to its privacy policy.

The leading company in ride share services, Uber, has now announced that it has updated the privacy policy of its app in order to improve the mobile tracking that it is capable of achieving and, therefore, enhance its accuracy.

There are a number of strong changes that have taken place to make the service more efficient and enjoyable.

According to the announcement from Uber, these mobile tracking improvements should benefit both the drivers and the passengers, alike. According to a blog posted by the company in advance of the changes, “Our riders and driver partners will start receiving e-mails in the next few days about the new Privacy Statements.” It did go on to say that it will be going to great lengths to ensure that it is guaranteeing the privacy of its users. That said, it pointed out that geolocation will become central to the service.

Mobile tracking through geolocation technology is the largest change being made to the Uber platform.

The announcement by Uber explained that the mobile app would request access to the location of the rider while the app is open in the background on the device. That way, it will make it possible for drivers to be able to locate their customers more quickly and conveniently. Overall, using geolocation technology as a part of the Uber app means that drivers will spend less time trying to find riders, and riders will spend less time waiting for their cars to pick them up.

The company also added that “In addition, these changes would allow Uber to launch new promotional features that use contacts — for example the ability to send special offers to riders’ friends or family. In either case, users will be in control: they will be able to choose whether to share the data with Uber.”

The changes to the mobile tracking portion of the privacy policy and geolocation features of the app will become effective on July 15th, said the announcement. What has yet to be seen is how many people will be interested in using the feature.

The online retailer has launched a new mobile marketing campaign based on local temperature and precipitation.

Very.co.uk, the online fashion retailer, has just launched a new and unique mobile marketing campaign using geolocation technology in order to be able to trigger ads based on the weather being experienced by the shopper.

The mobile device user will receive mobile advertisements suggesting clothing and accessories appropriate for the weather.

The geolocation technology based mobile marketing campaign was designed by Somo and ran over last weekend. It was made to identify the precise location of the smartphone user. It would then determine the local weather conditions of that person and issue an ad containing a creative message that was appropriate to those specific conditions.

The dynamic nature of the geolocation technology based ads made it possible for especially relevant advertising.

Consumers would be able to see products that were appropriate to their specific situation at the moment that they received the mobile ads. For example, if it was raining and cold, the message would recommend sweaters and umbrellas available from the retailer. Similarly, if it was hot and sunny, shorts and sunglasses would be worked into the message.

The primary target market for the retailer’s mobile marketing campaign was women between the ages of 25 and 44 years. The ads were displayed on a number of different websites that were appropriate to those demographics.

It was, therefore, not necessary for a mobile device user to opt-in to view the ads. Instead, the ads would respond when they were clicked by the user. After the ad was clicked, location based technology allowed the user’s location to be identified. Up to date weather info in the area was accessed so that appropriate and relevant items could be promoted.

Somo explained that the product ranges being advertised in the campaign changed every day, to ensure that individual customers were not being shown repetitions of the same items, even if the geolocation technology being used had identified that they were within the same region and were experiencing the same time of weather from one day to the next.