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Text Analytics (also known as Text Analysis) is the process used to derive usable information from unstructured text.
Text Analytics quickly and accurately identifies all the topics your customers are talking about. It filters vital feedback from chatter, automatically analyses every sentence in context and categorises them into topics tailored to your business.
In addition, you can combine the feedback comments with other customer data, such as customer profiles, transactions, marketing contact histories, product ownership, etc. This will enhance the analysis and reporting of your customer opinions.
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Text Analytics is ‘topic’ centric. Your customers will talk about many different aspects of their experience and all topics mentioned will be presented in the text analysis results.
Below is an example of how your topics are structured:
Industry specific topics are used which are then further tailored to your organisation. The topics and categorization of feedback comments needs to be set up at a level of granularity and usefulness that works for you and your organisation. We will work with you to establish these topics and categories during the early stages of your programme.
Understanding a customer’s sentiment score helps understand which customers are most dissatisfied or satisfied in any particular topic.
Sentiment scores are automatically calculated for each verbatim comment at sentence, overall answer and entire survey levels. Sentiment scores take into account the contextual meaning of comments, not simply a count of positive and negative words. Sentiment scores are retained for use in analytics and reporting and are an extremely effective proxy for satisfaction rating or where there is no rating score.
Check out the special report "What Customers REALLY Think Of The Challenger Banks".
The report highlights how these highly motivated, highly successful banks are performing in the eyes of their customers, according to publicly-available feedback reviews. With 91,000+ reviews analysed at the ‘click of a button’, the report demonstrates the power of Text Analytics when it comes to making sense of open ended comments.
Click here to register for a copy to your inbox.
If you’d like to understand more about how our Text Analytics works, please contact us:
Feedback Ferret first started in 1998, analysing open-ended customer feedback at a level that had never been possible before. Year on year, we have painstakingly tweaked and improved our capabilities and evolved Feedback Ferret to create a Complete Customer Experience Solution. With success stories that include some of the world’s largest brands, we have grown into customer feedback and text analytics experts.
