Customer reviews can be a valuable tool for business growth but without careful analysis, it wouldn’t work. Every day, organizations around the world gather in their websites and social networks millions of user reviews, but most of them ignore this invaluable source of information. There may be two reasons: either they don’t understand the importance of messages that customers give them or they don’t know the customer feedback analytics methods. In this post, we’ll tell you how to adjust your company’s business processes to make better use of customer feedback analysis, or how to enhance customer feedback analysis if you’ve used this method already. Importance of feedback analysis Customers are the principal driving force behind any undertaking. When a business starts losing clients, the services or goods must be improved; otherwise, it will fail. Feedback analysis is the tool for understanding customer feelings, needs, and desires which help businesses stay on the cutting edge. Real customer reviews are useful for deeper research compared to cold statistics since they: Explain positive and negative patterns in manufacturing and selling processes Include origins of issues and hints on how to fix them and identify innovative working solutions Have a clear understanding of consumer needs and promote good interactions with end-users Both positive and negative reviews are important for the growth of the company. They inspire performance enhancement. Hence, not quantitative but qualitative data analysis is important, because the amount of comments is not as essential as their substance. By interpreting the content of messages correctly, you’ll be able to respond to the feedback and draw conclusions for your benefit. Methods for Customer feedback analysis For customer experience analysis many approaches can be applied. These can be used by a human employee and the analytical report collected, but only if an organization receives a few messages a week. If there are hundreds of messages a day, using AI techniques such as Natural Language Processing (NLP), you’d better automate the process. Brand Name Extraction Sentiment Identification Keywords Extraction Various steps to perform effective feedback analysis Categorize Feedback Find Root Causes Plan Further Actions Inform Teams Use Automated Tools Conclusion The only true way to succeed in a dynamic business environment is to listen to the customers and take their desires into account. Customers know more about what they need, and not what they need. For this reason, qualitative feedback analysis is a must for modern businesses. We at softieons technology work according to our customer’s requirements and help them in their business growth.