Most companies have more sources of customer feedback than they realize. Customer surveys and reviews aside, call logs, support tickets, and brand mentions on social media all are customer feedback, rich with insights.
Many of the world’s most successful enterprises have automated the entire process of gathering and analyzing their customer feedback using AI-driven Natural Language Processing (NLP) tools. It gives them an edge over the competition and allows them to extract actionable insights.
If you haven’t automated analyzing customer feedback yet, you’ll want to start doing this, ASAP. Going through customer feedback allows you to understand your target audience on a deeper, more intimate level. It enables you to improve upon your product/service to win over more customers.
In this guide, we walk you through all you need to know about analyzing customer feedback with NLP, including:
- Why it’s important to review customer feedback
- The difference between data and actionable insights
- How to transform your data into insights
- Analyzing customer feedback using NLP
- A step-by-step guide to collecting and analyzing customer feedback
Do you prefer text over video? Find our full blog post here.
Let’s discuss how to analyze your data to come up with these insights.
If you’re looking at quantitative data, this is fairly straightforward. Say that you’re using the Customer Effort Score (CES) to benchmark your customer satisfaction levels, for instance. Because the CES is recorded on a numeric scale (from one to seven), it’s easy for you to track changes in your score, and come up with insights based on any fluctuations.
But with quantitative data, on the other hand, things aren’t as simple. Say you send out a survey, and within that survey, you have a free-text question asking your customers: What do you think CompanyName can improve upon? Obviously, the data that you collect can’t be textured translated into numeric results which are easier to analyze.
Now, if you intend to manually collate and read all the responses, then analyze the content to come up with insights, this will take a lot of time and effort. Here, a workaround is to use Natural Language Processing (NLP) and machine learning (ML) to do the heavy-lifting. These tools analyze qualitative data, and churn out insights that are derived from your customer feedback.
Take Wonderflow. Our tool utilizes NLP to mimic the human ability to comprehend texts. Once you feed your data into the tool, the tool will work to understand the data, and conduct sentiment analysis to gauge whether your customers are satisfied, neutral, or dissatisfied with your product and service.
At the same time, Wonderflow also generates automatic insights based on your customer feedback. You can receive the insights in your inbox in real-time, and these are also made available in Wonderflow’s reports, where the tool shares recommendations on how you can implement your learnings into your product life cycle.
Recently, Wonderflow was selected by independent research firm Aragon Research as one of the companies making an impact in document analytics. Check out the report here.Interested in more? Visit and subscribe to Riccardo Osti’s Youtube channel for many more videos.
Wonderflow empowers businesses with quick and impactful decision-making because it helps automate and deliver in-depth consumer and competitor insights. All within one place, results are simplified for professionals across any high-UGC organization, and department to access, understand, and share easily. Compared to hiring more analysts, Wonderflow’s AI eliminates the need for human-led setup and analysis, resulting in thousands of structured and unstructured reviews analyzed within a matter of weeks and with up to 50% or more accurate data. The system sources relevant private and public consumer feedback from over 200 channels, including emails, forums, call center logs, chat rooms, social media, and e-commerce. What’s most unique is that its AI is the first ever to help recommend personalized business actions and predict the impact of those actions on key outcomes. Wonderflow is leveraged by high-grade customers like Philips, DHL, Beko, Lavazza, Colgate-Palmolive, GSK, Delonghi, and more.
Other articles you might like:
Product Development · Sep 12, 2022
Proper Review Analysis: How to Analyze Customer Reviews (+ Examples)
It’s pretty difficult to imagine a world without reviews. Not many of us walk into a shop and make a purchase without browsing at least a handful of online reviews beforehand. In fact, a study from TrustPilot found that almost 9 out of 10 customers consult online reviews before buying. Though these reviews are incredibly helpful to consumers, for business owners, trying to use reviews to guide the product development process or improve the customer…
Utility & Energy · Aug 09, 2022
More Than Another Bill: Why VoC Programs Improve Utility CX
When did your utility provider last ask you to rate your customer experience (CX) with them? With rising competition, energy costs, customer demands, and regulatory and stakeholder pressure to improve customer services, these key factors drive service providers of water, electricity, and gas to engage deeply with their customers. Old traditional business models must be changed to adapt to the times, and utility brands must prioritize CX more than ever before. The Utility Customer Experience …
Interview · Aug 03, 2022
Customer-Centricity in Consumer Electronics: VoC Interview with Ron Jacobs, Philips Brand Licensing product professional
As part of our Voice of the Customer (VoC) interview series, Stefano Pecorari, Client Success Director at Wonderflow, welcomes Ron Jacobs, Brand Licensing product professional at Philips. Philips is a Dutch multinational founded in 1891 as a lighting company and later expanded to medical equipment, consumer electronics, and domestic appliances. The company is headquartered in Eindhoven. Later, it moved to Amsterdam in 1997. Nowadays, Philips is focused mainly on the health tech continuum. Its mission is…