Better Segmentation for Twitter

Subject: Better Segmentation of Data by Twitter for its Advertiser Today, Twitter is the best-known social networking and microblogging site. Twitter has over 241 million active users round the world increasing with a rate of 30% year after year. Apparently there are more than 600 million searches carried out on twitter daily. But there is a speculation that twitter has approximately 5% user, which could be fake. The fake audience is equivalent to irrelevant and non-existing users and cannot help in data gathering. Twitter anticipates the targeting as an essential factor of the expanding business of the advertising. There is expectedly high number of connection with the user when they are targeted through their confined interests. The capability of targeting by Twitter has restricted scope because it does not grab enough data from the user at the time of signing up for the account. The company should try to improve on this part. Twitter should ask for the personal details like the age, gender and occupation during the sign up along with their interests. This information helps in Twitter in identifying and targeting its segment precisely for the advertisers. The only drawback of this data would be in the case of fake or incorrect data. Twitter already provides the search through the keyword, which help the user to direct them to the proper advertisement. The advertisers should work on their significant keywords to target the intended customers perfectly. Twitter can enhance the geo-tagging feature so that the advertisers can aim the customer by its product or service depending on the geographical location. Twitter does not share any recent or distinctive reports with its ad partners. It tries to maintain privacy of the user, but Twitter should provide the report on the age, gender and occupation to provide better data on segmentation for the advertisers. The classification of the certain bios can be done by the text mining and cluster algorithm technique. In this...