Selena Gomez Blasts Instagram Follower: Top 5 Stories – Us Weekly

Viralheat Is Using Social Media Sentiment To Predict Buying Behavior – Forbes

viralheat

Selena Gomez blasted an Instagram user on Saturday, July 12, after they wished cancer upon her. Plus, Bethenny Frankel defended herself against her own haters after she posted an image wearing her 4-year-old daughter’s clothing. Check out the rest of Us Weekly ‘s top stories from July 14 in the round-up below. 1. Selena Gomez Blasts Instagram Follower for “Absurd” Bullying Comment: Picture Selena Gomez called out an Instagram hater after the person wrote she should “burn in hell with cancer.” Gomez commented on one of the user’s photos blasting her for being a “distasteful young woman” and noting “you can dislike someone but to wish something that could happen to you or your family is uncalled for sweetheart.” 2. Bethenny Frankel Responds to Criticism After Wearing 4-Year-Old Daughter Bryn’s Clothes The former reality star responded on Twitter after getting slammed by people for posting a picture in her 4-year-old’s pajamas, displaying how she wore the same size. Frankel tweeted at the haters, “BREAKING NEWS! World Scandal: Former reality star, failed talk show host & cocktail maven jokes by wearing her kids’ pjs! #itcantbetrue,” adding, “When ur 4 year old peanut says ‘mommy please put my dress on’ & giggles uncontrollably, u do what ur told.”

Original article here: http://www.usmagazine.com/celebrity-news/news/selena-gomez-blasts-instagram-follower-top-5-stories–2014147

Tracking you browsing history too often results in ads that fall into the uncanny valley of internet advertising a Zappos banner that follows you all over the web, showing you the same pair of shoes you already bought and returned, for instance. But monitoring your social media output doesnt yield much better results. If a marketer knows exactly what its looking for a hashtag or keyword, say its useful enough, but the applications of such passive monitoring dont go much beyond customer relationship management. To turn social chatter into actual sales leads, however, you have to be able to process a vast quantity of natural language and separate the tiny threads of signal from the oceans of static. A three-year-old company called Viralheat does just that, crunching 2 billion social mentions a day to generate predictive analytics for customers like get instagram followers Deutsche Telekom and Mens Wearhouse. Search is such a great conversion tool because people are typically typing in their intent, says Viralheats CEO, Jeff Revoy. Social is not such a great commerce tool because people arent necessarily looking to buy something. But it is where they talk about things that are really relevant to fill out that profile of a customer. Where social beats other platforms is in its ability to generate data thats prospective rather than retrospective. If youve gotten married, moved or had a baby in the last five years, chances are you announced it on Facebook (or Instagram or Pinterest) beforehand. While marketers and the data miners they work with might be able to figure out the same thing in other ways, it comes with a significant creep factor.

Original article here: http://www.forbes.com/sites/jeffbercovici/2014/07/14/viralheat-is-using-social-media-sentiment-to-predict-buying-behavior/

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