To keep up the competition with Twitter and keeping no rules for data mining, Facebook has introduced Topic Data. The only real sufferer in this fight are the end users. The only thing they gain is they are allowed to use the service for free and better ads. The product will only be launched in US and UK. The product allows advertisers and marketers to sniff and use data of the audiences. Facebook states that Topic Data allows them to know about the opinions of the people about any particular happening event, a popular brand and any rage on the internet. This is basically a tool for businesses to understand the local market and blend their product in the trend and how effectively a data can be analysed and used to their advantage.
Let me explain you this product with a example. Consider a country with slow broadband internet and frequent internet outrages. Facebook will crawl all the data pertaining to its users who speak, comment and converse on slow internet speed of that particular country. Now lets look at scene two. There is a broadband company who sells internet connection and routers and is new into the market. The company promises that its net will be reliable and assures connectivity round the clock. There are already big players in the market and its difficult to break a monopoly or the market all of a sudden. Now comes the part of data sniffers. Facebook with its Topic Data created with the help of analytics-leader DataSift will store and check for all its data on its server where users may have posted about bad internet. Facebook in its algorithm crawls all the data including images, videos, status updates, comment conversations, etc. the company will then help the new internet company to connect that users who were dejected with their previous brands. Facebook will posts ads on that users news feed and hence users learn about new companies.This is a perfect strategy for getting customers who will definitely convert and will be ready to change their brands because of dissatisfaction from previous vendors
