Getting insights from your data isn’t easy: The case for customer feedback analytics
Customer feedback analytics is an integral activity for a successful customer experience strategy.
From online and telephone surveys to written comment forms, focus groups and support tickets, companies have employed a range of techniques to listen to their customers. But while customer feedback survey data does create competitive advantage, the advantage doesn’t come from merely collecting the data, it’s how you act on feedback that really makes the difference.
Let’s look at the challenges in analyzing customer feedback:
- It’s unstructured
- There’s large volumes of it
- It’s time-consuming
- It’s a manual process
Despite these challenges, one of the biggest reasons feedback goes unanalyzed is simply because companies do not have the right tools.
Compare different customer feedback analysis solutions
There are several different types of solution for generating customer insights from unstructured feedback. Here are the main types, with the important points to consider when evaluating and comparing each solution. It’s important to select one that is right for your business, and that will give you the insights to focus your efforts on improving your business.
Here is a preview of our FREE customer feedback analytics software comparison table:
To learn more about the effective methods and tools for analyzing customer feedback, download our FREE eBook The Ultimate Guide to Analyzing Customer Feedback and discover what tools are right for your business.
Keatext is a cloud-based customer feedback analysis solution that helps you understand the customer trends, sentiment and issues impacting your business right now.
Want to see Keatext in action? Click the button below:
FRESH CONTENT DELIVERED STRAIGHT TO YOUR INBOX
- How sentiment analysis can improve your customer experience (CX)
- Scaling Corporate Culture Assessment with Artificial Intelligence
- Choosing the right Text Analytics partner for your VoC platform
- VoC platforms: Choosing the right Text Analytics technology
- Survey Platforms: The pitfalls of building text analytics in-house