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 Type of Data Used to optimize the Application of Sentiment Analysis for Specific Business Goals

Sentiment analysis is a term used in many industries to understand and analyze people’s opinions on products and services. Sentiment analysis has been around for as long as we’ve had message boards and social media. Still, it can be hard to use sentiment data effectively that works specifically with your business needs. It is important to understand the sentiment of your customers or potential customers to use sentiment analysis in your marketing strategy effectively. More and more people are using sentiment analysis to measure attractiveness and overall awareness of offerings. To improve the effectiveness of your marketing campaigns, you will want to employ a process that analyzes the customer’s opinion on products and services so you can tailor your message and make better use of your money. Here are the types of data that can be used for your specific business goals.

1. Customer Reviews

Customer reviews are common all over the internet, especially on popular sites like Amazon or Yelp. These reviews even include star ratings to help customers determine the best products based on the opinion of other customers. Review sites will often take reviews from multiple sources and combine them, but you can use that data to improve your marketing strategy. If most people are writing positive reviews about a product, even if it is not the exact product you are selling, then this could be a great way to promote your offering.

2. Surveys

Surveys can be a great way to quantify the opinions of your customers. Surveys are often completed using email or surveys on sites like SurveyMonkey, SurveyGizmo, Ipsos, Zendesk, etc. These surveys can help you understand what topics customers care about and what areas they want your company to improve its offerings in the future. There is no limit to how many questions you can ask in a survey to use this data for many purposes such as product development, new marketing campaigns, and so on.

3. Social media comments

Social media commentaries are a great way to understand what people think about your products and services. Facebook, Twitter, and so on have many users that post comments on other people’s posts, so you will want to look through that data to find what topics are important to your customers. One of the best ways to get this data is by using sentiment analysis on Facebook or Twitter.

4. Demographic data

Demographic data is the most common data used to enhance marketing campaigns and improve your products or services. You can use census data or other demographic information to determine the needs of specific groups of customers. Depending on what you are trying to market, that information could be very useful. For example, if you are selling a fitness product, you may want to know who is interested in fitness and who isn’t so you can offer a more tailored message to fit those individuals’ needs.

5. Customer service complaints

Customer service complaints will give you the best results on what customers are frustrated with and what issues should be addressed to improve your deliveries. If you are selling a new product, receiving customer service complaints can show if there is anything wrong with the product itself. Even if not, this gives you an idea of how people feel about the product now and how it can be improved in the future.

6. Live training data

Live training data gives you the best idea of how people perceive your product and what techniques you should use to improve their experience with the product. Often, companies will have training classes for new employees held to train them on how to do their job well. This training can give you a great look into what is being taught at a specific point in time and where people tend to struggle with certain areas of the class.

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