|
Pongr is a mobile photo marketing and technology company that develops image recognition, artificial intelligence〔(PR Week: "The Next Keystone of Ad-Tech Platforms: Artificial Intelligence" )〕 and direct response advertising tools for companies of all sizes to monetize their customer-shared photos on social networks.〔(Pongr Website )〕 Brands use the Pongr platform to automate and manage direct-response programs, loyalty and social campaigns, multi-channel promotions and shopper marketing initiatives. Pongr's image recognition technology is used by brands such as Pepsi, Frito-Lay, Arby's, Nestle and 7-Eleven to make logos and product packaging interactive with mobile phone cameras. The Pongr system processes customer-submitted photos as the entries in contests, sweepstakes and promotions, and also ties photo sharing on social networks to brand loyalty programs.() Pongr is an alternative technology to QR codes or bar codes. () In the crowded photo app and photo-sharing software market, Pongr is positioning itself as the only social sharing platform for brands that can monetize〔(AllFacebook: "Photo-Marketing Platform Pongr Takes Aim at Monetizing Facebook Photos With Sightec Technology" )〕 the millions of customer photos posted daily on Twitter, Facebook, Instagram and other sites.〔(AllFacebook: "Beyond Facebook's Makeover: If Text is 'Dead,' How Will Advertisers (Finally) Start Monetizing Photos?" )〕 Consumer photos are monetized by integrating them with brands' existing CRM databases.〔(Vimeo: Pongr For Shopper Marketing )〕 The company is headquartered in Boston, Massachusetts, with a software development office in Des Moines, Iowa, and a computer vision R & D lab in Tel Aviv, Israel. ==Company History== Pongr was founded in 2008 by CEO Jamie Thompson,〔(Jamie Thompson’s Twitter page )〕 Computer Vision Scientist Neal Checka, and Chief Software Architect Zach Cox,〔(Zach Cox’s Twitter page )〕 who met while they were both exploring the commercial applications of various military R & D projects for Charles River Analytics in Cambridge, Mass.〔(Pongr Website: "Our Story." )〕 Pongr was built on the premise of applying artificial intelligence and computer vision discoveries from the research labs to the worlds of shopper marketing, photo sharing and social media—focusing on what brands can learn about their customers by how and when they take pictures of products. In 2010, Pongr launched a consumer game aimed at brand enthusiasts challenging them to become the "CEO" of their favorite company by taking fan photos and sharing them on social media. Snapping and sharing photos earned players loyalty points which could be turned in for brand rewards.〔(The Next Web: "Pongr Makes You CEO of Your Favorite Brand, All You Need is a Camera" )〕 The CEO game structure was later dropped, with brand enthusiasts later challenged to become the #1 Fan. In 2011, the company introduced ImagePulse, a way to measure customer attitudes and moods in brand-related photos using a mix of text-based and image-based sentiment analysis. The system is aimed at predicting buying behavior based on the location, time and context of the photo.〔(NY Times/VentureBeat: "ImagePulse 'Sees' How You Feel About Brands" )〕 As of September 2012, Pongr enabled hashtags for its search engine and allows users to submit photos via Twitter. In February 2013, Pongr announced its acquisition of a broad-based, licensed IP portfolio from Sightec, an Israeli computer vision R&D company, a deal designed to alter the way brands leverage the amount of photos shared around the world. Also in 2013, the company introduced the Pongr App for the iPhone〔(Pongr for iPhone )〕 and the Pongr App for Android,〔(Pongr for Android )〕 platforms that allow users to earn points and brand rewards by taking pictures and sharing them on social networks. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Pongr」の詳細全文を読む スポンサード リンク
|