What type of data would a customer review best be classified as?

A customer review is best classified as qualitative data because it primarily captures subjective experiences, opinions, and perceptions expressed by customers regarding a product or service. This type of data can provide rich insights into customer sentiments, emotions, and satisfaction levels, which are not easily quantifiable.

Qualitative data often includes descriptions, narratives, and personal reflections, which allow for a deeper understanding of customer behavior and preferences. In contrast, quantitative data would involve numerical values or measurements that can be statistically analyzed—something that a customer review, with its focus on personal opinions, does not typically provide.

Additionally, customer reviews are often unstructured, as they do not follow a set format and can vary widely in length and content. However, while the review might be unstructured, the essence of the review (what it conveys about customer experiences) aligns it more closely with qualitative data rather than strictly being categorized as unstructured. Therefore, classifying a customer review as qualitative data emphasizes the importance of understanding customer insights that go beyond numerical analysis.