Improving Customer Experience with Sentiment Analysis

Introducing sentiment analysis to your Voice of the Customer (VoC) program presents you with the incredible opportunity to quickly identify and improve areas of concern for your customers. Analysing customer comments in such a way allows you to identify gaps in your service, products and offerings.

In this blog, we will discuss what Sentiment Analysis is and how you can use this technique to improve the experience for your customers. 

But first, what is sentiment analysis?

Sentiment analysis refers to the use of Natural Language Processing (NLP) to determine whether data is positive, negative or neutral.

Examining customer feedback in terms of verbatim comments – in surveys, on social media, on review sites, or from speech to text transcriptions – allows you to gain a greater understanding of how customers truly feel about your brand and the experience that they have had with it. 

Benefits of Sentiment Analysis for Customer Experience

NLP brings powerful insights to brands and can be used in countless use cases such as product development, marketing campaigns and staff training.
Sentiment Analysis, when done right, will help you to identify both your greatest strengths and weaknesses. Your customers are constantly talking to you – make sure you are listening to how they truly feel.