What difference can Social Media Sentiment Analysis make to your brand?

Understanding social media sentiment is integral to the success of your business nowadays. The attitude and feelings of audience pertaining to your brand is what social media sentiment is all about. It is important to keep a track of the information that goes out on these platforms about your brand, helping you know what perception your brand has created online.

Social media sentiment analysis takes the conversation of the customers into account and puts them into context. It literally digs into the positive, negative and neutral emotions surrounding those mentions, directly telling you whether your brand is meeting the expectations with the quality of service and products.

The information garnered through this process helps in deriving key marketing strategies. It is also critical for customer service and support representation, giving you the chance to turn a bad customer experience into a positive one. Using sentiment analysis, a brand can take the temperature of an audience into consideration before sending out any message. Taking a look on similar brands with similar audience can also help target audience in a comprehensive way.

Sentiment analysis is also helpful while monitoring keywords. With good social sentiment analysis tools, it becomes easier to see which influencers are calling the shots. Social sentiment analysis encourages the businesses to take a more proactive approach and engage with their customers directly on several social media platforms.

However, monitoring all the platforms manually is certainly a tough ask, considering the resources required and time consumption. This is where the new-age analytical tools and software come into play. They help separate your positive mentions from negatives ones, while also differentiating relatively straight forward sentiment terms with the ones specific to your industry.

While sentiment analysis are mostly accurate, one needs to be vary of certain terms. One such example is sarcasm, which won’t allow a tool to pick-up the real sentiment behind a comment. This is why a combination of manual listening and machine learning is ideal to get the complete sentiment analysis report.

Sentiment analysis of your social media data is particularly important when your business is making big decision or looking for expansion. With the ability to analyze the conversation happening on social media, you can make informed decisions pertaining to your business. How serious do you take the sentiment in your social media data?