Just a few months ago Mahindra Scorpio facebook fan page had crossed 1 lakh fans … Recently the number has doubled to 2lakhs and counting…
Scorpio is an iconic Indian SUV from Mahindra & Mahindra and has a huge fanfare both offline and online for its rugged looks, value for money and off-roading abilities.
Scorpio’s facebook page is very active with fans uploading photo of their scorpios, photo contests and other interesting discussions on the brand.
To compete in the smart phone category with competitors such as Apple, Nokia took the help of social media to push its sales. Nokia started relying less on search engines and more on social networks. Nokia leveraged Facebook, Bebo, and Tagged heavily.
Nokia also leveraged the power of Youtube to show off the phone’s features. Mark Loughran, General Manager, Nokia UK spoke about the product: “The Nokia N8 is a great multitasker, packed with market leading innovations, which include the best picture and video capability available on a smartphone,” but the ability for consumers to see these innovations on YouTube rather than hear about them has been a big plus.
As a result of the social push, the Nokia N8 was the fourth most searched for mobile phone for the week ending 25 September 2010.
Bing now uses ‘Facebook like’ to used to improve search results. When you search for a keyword in Bing, other than the normal search results, Bing also gets to you results of the keyword “liked” by your friends in facebook. This would help us in not just searching but also making decisions based on what our friends feel about the product or service. Indeed a great feature. But remember to integrate Bing with your Facebook. Danny Sullivan has detailed information for you.
All of us know that Hollywood movie directors keep their ear to the tweet ground to understand the ‘pulse’ of the audience even before the movie releases. But research at Indiana University, US has proved that analyzing and keeping an ear to tweets can help you in predicting stock market fluctuations. The researches measured the ‘collective mood’ of the tweeters by analyzing 9.8 million “tweets” from 2.7 million users of the micro-blogging service during 10 months in 2008. Researchers could predict with 90 % accuracy the rise and fall of the Dow Jones Industrial Average and with 87.6% accuracy the he daily up and down changes in the closing values of the Dow Jones Industrial Average. They analyzed the positive and negative feel of the tweets and also analyzed the mood of the tweets such as calm, alert, sure, vital, kind, and happy. The researchers then compared the sentiment to Dow Jones. The research proved that tweets could predict the result of the stock average as early as 2 to 6 days.
Social media can next be used by stock and mutual fund companies too for appropriate management of portfolios.
F5ive Technologies