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"Ian Heidt, director of product management for Qualcomm Labs, said the technology pulls in information from a variety of sensors on the phone, how consumers use the phone, including the camera, and location to create a unique fingerprint. "In early trials in Japan, we've seen improvement on targeting," he said. "It shows how mobile and content change the behavior of consumers." Trials conducted by Blogwatcher in Japan found that consumers were three times more likely to click through and respond to WITYU notifications and offers as compared with non-contextualized and non-personalized offers. Click-through rates rose by more than 60% when specials and offers were delivered to consumers."

"The company is running its new mobile advertising campaign within The Weather Channel's iPhone application. Home Depot has used mobile advertising in the past to bolster brand awareness and engagement. "By adding store location functionality to the ad unit, the brand expertly displays their understanding and appreciation of the unique contextual requirements of an audience made up of a sizable percentage of likely moving targets," said Scott Forshay, mobile and emerging technologies strategist at Acquity Group."

This seems really cool - video content recognition and they want to deliver contextual advertising in the app

Apparently iBeacons are magical, but is it just the newness?

"McDonalds beacon case study (retail) 26 McDonald's franchises in Columbus, Georgia tested out iBeacon technology with its customers. Over the four week trial, the franchises were pushing special deals for McChicken Sandwiches and 10 piece Chicken McNuggets. The iBeacon powered promotions pushed McChicken Sandwich sales up 8 percent and Chicken McNugget sales up 7.5 percent. Based on the initial results of the pilot it looks as though McDonald's will continue to explore the technology for an additional 263 retail stores in the southeast. "Everyone is looking at their phones, millennials especially, and that's where we've decided to engage," Jack Pezold, a McDonald's franchisee of 40 years, said in a statement. Spotless beacon case study (enterprise) Spotless is an Australian owned and managed provider of integrated facilities management services. In 2014, Spotless partnered with Lighthouse to build and deploy a custom workforce management solution with the goal of reducing litigation claims in the commercial cleaning service line. The solution allowed Spotless to understand when cleaning KPI's are missed in real-time and produce employee location reports that can be used as legal defense against slip and fall litigation claims in shopping malls. Spotless has also been able to optimise their workforce and reduce operating costs by analyzing Lighthouse powered heat mapping of employee movements. The solution has been so successful that Spotless are extending the capability across other service lines including facilities management, security and maintenance. Read the full case study here. Pause Fest beacon case study (events) Pause Fest is Australia's premier digital event, aimed at supporting and showcasing the best in creative and tech from Australia and all over the world. In 2015, Pause Fest partnered with Lighthouse to deploy a network of beacons that delivered proximity based content and experiences to attendees, while enabling real-time event analyt

Cool application of contextual data to revamp retail locations from Marks & Spender in the UK.

oldschool example

contextual info

An augmented reality for television: the service creates an overlay of contextual information over TV broadcasts. 

 Yahoo CEO Carol Bartz demoed the company's new Livestand service at the Mobile World Congress 2011, noting that for small mobile devices where screen space is at a premium, it is especially important to make sure what is displayed is relevant to user interests.

Cool experiment? Text your mood back to this museum 5 times a day and then complete different challenges they send out each week and they'll send you a report.

Related to what we were discussing for L'Oreal, Google wants to take the learnings from within Gmail's ad targeting and apply it to all of the ads they serve you.