Twitter Analytics Offer Business A New Revenue Stream
Once a business has gathered the data required sourced from twitter analytics and
the tweet curve it can then be used in many different fun and exciting ways for example a double glazing company may wish to harvest the data for use in sales activities by pulling all data for the search terms broken window or smashed glass they would then be able to contact the individuals who made the tweet and offer them their services.
Once a business has gathered the data required sourced from twitter analytics and the tweet curve it can then be used in many different fun and exciting ways for example a double glazing company may wish to harvest the data for use in sales activities by pulling all data for the search terms broken window or smashed glass they would then be able to contact the individuals who made the tweet and offer them their services.
If a business manages to pull data from the api then they will need to segment this data in order to make any good use of it. The tweet curve allows a business to pull data and store data for on a ongoing basis from the date the search is started and the previous seven days and then indefinitely or until all the companies hard drives are full, which might not be long with over a million tweets a day.
Twitter process over 1 million tweets a day, a tweet is a micro blog made up of a maximum of 144 characters and can contain a link to another site or indeed a hash tag with can be used for tracking purposes. Twitter its self we allow you to look at a keyword search for the past 7 days; it will not allow you via its platform to store or do anything with this data. To get to grips with twitter analytics then a business must understand the tweet curve and employ a technician to pull data from the API.
In today's fast moving culture of micro blogging, business can be made and destroyed in a matter of minutes. Businesses who take advantage of twitter analytics have a much deeper and more rounded understanding of what their customers and potential customers are saying whether it is a happy thought or unhappy thought.