Harnessing the Power of Natural Language Processing for Customer Experience Analytics

In today’s competitive market, customer experience is everything. The use of analytics to understand customer feedback has become a key tool for CX managers, product managers and CIO’s to gain insights into their customers’ needs and behaviors. One powerful way to analyze customer feedback is through the use of natural language processing technology. Natural language processing (NLP) uses advanced algorithms to interpret the meaning behind customer comments, allowing businesses to make more informed decisions about how to improve their customer experience. Let’s take a look at how NLP works and why it should be a key part of any organization’s customer experience strategy. 

What Is Natural Language Processing? 

NLP is a form of artificial intelligence (AI) used to interpret natural language text or speech. It uses data-driven techniques such as machine learning, deep learning and natural language understanding (NLU) to identify patterns in large amounts of data. This allows computers to process human language and interpret its meaning in order to gain valuable insights from it. For example, NLP can be used to determine the sentiment behind customer comments or reviews, which can help businesses understand their customers better by pinpointing areas where they are excelling or falling short in terms of customer service or product quality. 

Advantages of NLP for Customer Experience Analytics 

NLP provides organizations with an efficient way to analyze large amounts of text-based data quickly and accurately. By leveraging this technology, companies can gain valuable insights into their customers’ preferences and behaviors that would otherwise remain hidden beneath mountains of raw data. Additionally, because NLP is automated, it eliminates the need for manual analysis which is both time consuming and prone to human error. With NLP, organizations can quickly identify trends in customer behavior that might otherwise go unnoticed until it’s too late—allowing them to stay ahead of the competition by proactively responding to changing customer preferences or needs before they impact business operations negatively. 

It is vital for long-term success to have access to accurate and actionable insights into your customers’ experiences. By utilizing natural language processing technology for customer feedback analytics, businesses can gain an edge over their competitors by understanding what drives their customers’ satisfaction levels—and making strategic changes based on that information in real-time. When used correctly, NLP can provide organizations with invaluable insights into their customers’ needs—allowing them make better decisions about how best serve them going forward.

Tagado: Now’s the time to natural language processing into your data analysis strategy

With Tagado at your service, you can get real-time text analytics and easily provide teams in the organization with a platform to analyze customer feedback through advanced and deep analytics.

Want to learn more about Tagado and how we can help you understand your customers better? Book a demo here.


In today’s digital era, companies are inundated with an overwhelming amount of customer feedback. Whether it’s through social media, online reviews, or direct communication, businesses…
Tagado is changing the way companies gather and use customer feedback with our NLP-based tool.  As part of our “Customer insight of the week” series,…
Knowing how to properly analyze customer feedback is a crucial part of success in today’s busy business world. While it can be difficult for marketers…
Tagado is changing the way companies gather and use customer feedback with our NLP (Natural language processing) -based tool.  As part of our “Customer insight…

Bringing your customers' voice to the decision table