Twitter Analytics The New Sales Force
Twitter analytics is the process of harvesting the raw data that is collected on a daily basis from over 100 million tweets provided.
A recent example of the a company using the tweet curve was a multinational solicitors who make a lot of money from helping members of the public when they have being involved in a accident such as a road traffic accident or RTA as they are most commonly known. The company used the power of the tweet curve and twitter analytics to harvest data on an ongoing basis for industry key terms which was then collected, filtered using a very high degree of filtering including, location, age, gender and a further 12 factors and made contact with the individual direct.
The heart of any businesses in any country around the world from Japan to USA to England is its sales team. The strength of a company’s sales pipeline can determine many things from the director’s private jet or new BMW M3 or it may be just as simple as being able to keep the doors open for another month and pay the staff. A good traditional sales pipeline comes from hard work and lead creation, however in the modern age of the internet there are more ways than ever before to build a sales pipeline and gain new custom the most impressive of these new ways is twitter analytics and the tweet curve.
A good traditional sales pipeline comes from hard work and lead creation, however in the modern age of the internet there are more ways than ever before to build a sales pipeline and gain new custom the most impressive of these new ways is twitter analytics and the tweet curve. The UK technical policies dept , recently stated that if a business is not using the power of social media to its full capabilities then in 6 months it is likely that they will be closed down. Businesses have not taken this news lightly and are proactively looking to partners to help them understand the power of the tweet curve.
A recent example of the a company using the tweet curve was a multinational solicitors who make a lot of money from helping members of the public when they have being involved in a accident such as a road traffic accident or RTA as they are most commonly known. The company used the power of the tweet curve and twitter analytics to harvest data on an ongoing basis for industry key terms which was then collected, filtered using a very high degree of filtering including, location, age, gender and a further 12 factors and made contact with the individual direct.
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