Notice that each of these accounts has a consistent voice, tone, and style. Consistency is key to helping your followers understand what to expect from your brand. They’ll know why they should continue to follow you and what value they will get from doing so. It also helps keep your branding consistent even when you have multiple people working on your social team.
Another ethical controversy associated with search marketing has been the issue of trademark infringement. The debate as to whether third parties should have the right to bid on their competitors' brand names has been underway for years. In 2009 Google changed their policy, which formerly prohibited these tactics, allowing 3rd parties to bid on branded terms as long as their landing page in fact provides information on the trademarked term. Though the policy has been changed this continues to be a source of heated debate.
Twitter allows companies to promote their products in short messages known as tweets limited to 140 characters which appear on followers' Home timelines. Tweets can contain text, Hashtag, photo, video, Animated GIF, Emoji, or links to the product's website and other social media profiles, etc. Twitter is also used by companies to provide customer service. Some companies make support available 24/7 and answer promptly, thus improving brand loyalty and appreciation.
Social networking websites are based on building virtual communities that allow consumers to express their needs, wants and values, online. Social media marketing then connects these consumers and audiences to businesses that share the same needs, wants, and values. Through social networking sites, companies can keep in touch with individual followers. This personal interaction can instill a feeling of loyalty into followers and potential customers. Also, by choosing whom to follow on these sites, products can reach a very narrow target audience. Social networking sites also include much information about what products and services prospective clients might be interested in. Through the use of new semantic analysis technologies, marketers can detect buying signals, such as content shared by people and questions posted online. An understanding of buying signals can help sales people target relevant prospects and marketers run micro-targeted campaigns.