In order for businesses to keep up with the seemingly endless stream of information from social media platforms, they need to use SMMS. Even as the number of companies using social media for customer service has risen, it has been found that eight in nine social media messages go unanswered in the first 72 hours. Using SMMS, enterprises can respond to such messages in a timely manner, ultimately saving a sale or even getting a positive comment from a customer. 


Marketers target influential people on social media who are recognised as being opinion leaders and opinion-formers to send messages to their target audiences and amplify the impact of their message. A social media post by an opinion leader can have a much greater impact (via the forwarding of the post or "liking" of the post) than a social media post by a regular user. Marketers have come to the understanding that "consumers are more prone to believe in other individuals" who they trust (Sepp, Liljander, & Gummerus, 2011). OL's and OF's can also send their own messages about products and services they choose (Fill, Hughes, & De Francesco, 2013, p. 216). The reason the opinion leader or formers have such a strong following base is because their opinion is valued or trusted (Clement, Proppe, & Rott, 2007). They can review products and services for their followings, which can be positive or negative towards the brand. OL's and OF's are people who have a social status and because of their personality, beliefs, values etc. have the potential to influence other people (Kotler, Burton, Deans, Brown, & Armstrong, 2013, p. 189). They usually have a large number of followers otherwise known as their reference, membership or aspirational group (Kotler, Burton, Deans, Brown, & Armstrong, 2013, p. 189. By having an OL or OF support a brands product by posting a photo, video or written recommendation on a blog, the following may be influenced and because they trust the OL/OF a high chance of the brand selling more products or creating a following base. Having an OL/OF helps spread word of mouth talk amongst reference groups and/or memberships groups e.g. family, friends, work-friends etc. (Kotler, Burton, Deans, Brown, & Armstrong, 2013, p. 189).[86][87][88][89][89][89] The adjusted communication model shows the use of using opinion leaders and opinion formers. The sender/source gives the message to many, many OL's/OF's who pass the message on along with their personal opinion, the receiver (followers/groups) form their own opinion and send their personal message to their group (friends, family etc.) (Dahlen, Lange, & Smith, 2010, p. 39).[90]
If you’re an agency in need of tools for social media management, Social Pilot may be your best bet! This social media management tool will allow you to do manage multiple client social media profiles at once and do things such as bulk schedule posts in various queues, collaborate with team members, manage clients, utilize browser extensions, etc. Their free plan includes 3 connected profiles, 10 posts per day, and 30 posts per queue.
Social Mention is a social media search and social media analytics tool that aggregates user generated content into a single stream of information. Track and measure what people are saying about you, your company, a new product, or any topic across the web’s social media landscape in real-time. Social Mention monitors over one hundred social media sites.
Faceless corporations are a thing of the past. These days, consumers care not only about what they buy, but also the type of company they’re buying from. Social Media has a 100% higher lead to close rate than outbound marketing. With this advantage, you can practice rapid response to build a connection with a customer, rather than putting them through the automatic recording steps via telephone.
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.
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