Combining NLP Topics with Customer Segmentation
Introduction Topic modelling can surface recurring themes in customer text, but on its own it often raises a bigger question: Which customers are actually driving these topics? Without segmentation, topic analysis treats all feedback as equal. A concern raised by a small, high value segment and a one off comment from an infrequent user appear side by side. That makes prioritisation difficult and insight shallow. The challenge is combining what customers say with who they are . Why this combination matters Customer segmentation already helps analysts understand differences in behaviour, value, and engagement. NLP adds context by explaining why those differences might exist. When topics and segments are analysed together: issues can be prioritised by segment importance messaging can be tailored more accurately engagement strategies become evidence based rather than anecdotal This combination turns text analysis into a decision support tool rather than a descrip...