In addition, social media platforms have become extremely aware of their users and collect information about their viewers to connect with them in various ways. Social-networking website Facebook Inc. is quietly working on a new advertising system that would let marketers target users with ads based on the massive amounts of information people reveal on the site about themselves. This may be an unethical or ethical feature to some individuals. Some people may react negatively because they believe it is an invasion of privacy. On the other hand, some individuals may enjoy this feature because their social network recognizes their interests and sends them particular advertisements pertaining to those interests. Consumers like to network with people who have interests and desires that are similar to their own. Individuals who agree to have their social media profile public, should be aware that advertisers have the ability to take information that interests them to be able to send them information and advertisements to boost their sales. Managers invest in social media to foster relationships and interact with customers. This is an ethical way for managers to send messages about their advertisements and products to their consumers.
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Popular social media such as Facebook, Twitter, LinkedIn, and other social networks can provide marketers with a hard number of how large their audience is nevertheless a large audience may not always translate into a large sales volumes. Therefore, an effective SMM cannot be measured by a large audience but rather by vigorous audience activity such as social shares, re-tweets etc.
Explore your Twitter network. Discover which people interact the most and what they’re talking about. It’s also a great way to find relevant people to follow. The visualization runs right in your browser and displays data from Twitter. Mentionmap loads user’s tweets and finds the people and hashtags they talked about the most. In this data visualization, mentions become connections and discussions between multiple users emerge as clusters.