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7 Advantages Of Twitter Sentiment Analysis

A black board with the word Twitter prominently displayed.

Shopify Businesses can interact with customers on Twitter in a personal way. However, because there is so much data on Twitter, marketers may find it difficult to choose which tweets or comments to reply to first.

As a result, sentiment analysis has emerged as a critical tool in social media marketing strategy.

Sentiment analysis is a technology that automatically detects emotions in social media interactions. Companies can use sentiment analysis to know their customers, stay on top of what is being said about their business – and their rival – and find new trends in the market by paying careful attention to the voice of their customers on Twitter.

There are currently over 206 million marketable daily Twitter users globally. With such a large potential marketplace for their goods and services, businesses will undoubtedly engage substantially in studying the behavioral patterns of their core demographics in order to personalize their offers to generate profit and a loyal client base.

In this article, we will talk about the seven benefits of Twitter sentiment analysis. However, first, it is important that you know what exactly it is.

What is Twitter Sentiment Analysis?

Sentiment Analysis is a text mining technique. It is thus a text mining technique for assessing the general premise of a text message, i.e., a tweet. The mood or opinion stated on Twitter might be negative, favorable, or neutral. However, no system can guarantee 100% accuracy or prediction when it comes to sentiment analysis.

Algorithms such as Naive Bayes and SVM are used in Natural Language Processing to determine phrase polarity. Sentiment analysis of Tweets may also be influenced by paragraph and document level.

Methods such as finding positive and negative terms in a sentence are, however, ineffective because the character of the text block is heavily dependent on context. You can do this by looking at the Part of Speech Tagging.

7 Ways Twitter Sentiment Analysis Can Benefit You

Here are seven advantages of Twitter sentiment analysis.

  1. Find out your brand perception
  2. Build stronger customer relationships
  3. Offer better customer service
  4. Identify key emotional triggers
  5. Discover new marketing strategies
  6. Boost profits
  7. Manage crisis better

Read on..

Find out your brand perception through Twitter sentiment analysis


The Twitter sentiment analysis can provide an overview of your brand's opinion. You can find out what people are talking about your company and its customers. Understanding brand perception can help you spot potential difficulties as well as capitalize on hidden possibilities. A single mention from a well-known blogger can sometimes propel your brand to prominence and give your business a boost. 

There are several other advantages of analyzing your brand. 

First, employing brand monitoring tools can assist you in identifying your brand advocates – those individuals who have a genuine connection with the public.

Second, anticipating trends can assist you to become a trailblazer in your profession. You may target customers with the most recent offers and news.

Third, knowing the hazards to your business or brand allows you to respond quickly to restore your brand image and escape an impending brand crisis. Rival brand monitoring can give you important information about their company practices and brand marketing concepts.

Build stronger customer relationships

One of the most important advantages of opinion mining is that it gives firms more insight into client behavior.

You can comprehend how your audience is feeling at any given time and contextualize the results – what made them pleased, thrilled, furious, dissatisfied, or indifferent? Did you make a mistake? Or, even better, perhaps you performed an outstanding job with your most recent campaign and people can't get enough of it.

On the web, word of mouth can quickly spread like wildfire, and with the correct tools, you can stay up to date without having to wade through each tweet, comment, and mention one by one.

You can choose how to continue when you have analyzed the results.

Apart from the direct impact, this data can have on your initiatives and marketing strategies, you can use it to build your customer relationship. You may sympathize with them, comfort them, rejoice with them, make them feel better, and, of course, relate to them on a completely new level.

Offer better customer service

Delivering a consistently excellent customer experience is a demanding undertaking, and it becomes even more difficult when your company grows, because it may be impossible to maintain the same level of quality at scale while keeping every customer delighted.

As marketers, we frequently employ fantastic tools like buyer personas, user journey charts, and categorization to aggregate and better comprehend the profiles of our typical consumers.

However, each customer is an individual with a unique set of needs, tastes, wishes, and desires. As a result, providing excellent customer service to each of them may be tough.

Nonetheless, you should aim for this.

By monitoring your customers' sentiment, you may determine which areas of your customer service are underperforming or not performing well enough.

This will enable you to enhance your brand experience and demonstrate to your customers that you genuinely care about their happiness.

For instance, more than half of individuals believe that brands do not provide a uniform experience across all channels and do not speak in a unified voice. By monitoring your own audience's contentment and taking safeguards, you may ensure that you do not lose them due to poor customer service.

Identify key emotional triggers

Human decisions are influenced by emotional stimuli. You can use sentiment analysis to determine which communications and discussions work as emotional triggers, changing client mood.

For example, the phrase ‘Please wait’ frequently causes consumer displeasure. Perhaps utilizing emojis improves the general tone of the discourse. Understanding what messages elicit certain sentiments in your clients can assist you provide better service and creating effective marketing resources.

Discover new marketing strategies

Organizations could design a successful marketing strategy with more data and insights gleaned via sentiment analysis. Customers' negative or positive messages can be used to gauge the success of the strategy.

Specific marketing strategies for target consumers can be built by analyzing the customer discussions on social media and detecting specific key messages connected to your brand.

Boost profits

Sentiment analysis captures clients' perceptions and moods, and it is an excellent technique to increase sales profits.

Organizations might predict a higher monetary return as negative key messages are discovered and the marketing team weaves their magic to remedy problems and improve the quality of the product.

This is accomplished through the company's use of sentiment monitoring to improve services and products. Customers also believe they are being noticed and that their needs are being satisfied, which helps an image of a company.

Manage crisis better

One of the advantages of sentiment analysis is that it allows you to track your customers' replies or views about a brand on a regular basis. Among the several goals of sentiment analysis, one is to prevent growing complaints, which enables effective and quick crisis management.

Timely preventive steps are critical because they aid in the eradication of online communication crises, which can quickly spread across the Internet. Since sentiment analysis enables firms to keep a close check on any negative threads or comments posted online, any issues or crises can be addressed before they escalate.

As intriguing as these advantages of sentiment analysis are, businesses must first grasp the different types of sentiment classification and when to use them.

Wrapping Up

That’s all for this article. Twitter sentiment research should be an essential component of every company's digital marketing, customer service, and growth strategies, as well as its branding strategy. When used properly, it may provide real-time insights and significant data on what helps brands ‘stick’ in the minds of customers, as well as knowing the audience's problem areas and real-time demands. 

Finally, correct data can enable teams to perform more efficiently and productively, while maintaining their users' attitudes and feelings at the forefront of business operations.

A report from Market Research Future claims that the global Sentiment Analytics market is expected to grow to USD 6 billion by 2027. With its ability to deliver invaluable insights about customer behavior and target audience persona, Sentiment Analysis is sure to be a part of the Twitter marketing strategy of corporations for the foreseeable future.

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