Review Sentiment
A star rating tells you something is wrong. It won't tell you what. Read review text at scale to surface recurring themes, complaints, and feature requests, and turn scattered feedback into a short list worth acting on.
Example Questions
- “What features do customers wish this product had?”
- “What are the most common topics in reviews?”
- “What do reviews say we do better than competitors?”
- “Compare review sentiment for our product against the top 3 competitors — what do they praise that we get criticized for?”
- “Has a specific complaint theme increased in frequency since our last listing update, suggesting the change backfired?”
- “Which negative review themes correlate most strongly with declining conversion rate, versus ones that are just noise?”
Available in:
Jungle Scout Cobalt
Jungle Scout MCP
Frequently Asked Questions
Does this read every review or just a sample?
It’s designed to read at scale across available reviews rather than a small sample, so recurring themes reflect the overall pattern, not a handful of outliers.
Can this compare sentiment against a competitor's product?
Yes, sentiment themes can be pulled for competitor products as well, to see what customers say you do better or worse.
Will this flag sentiment changes over time?
Yes, sentiment can be tracked before and after a product update to see whether a change moved perception in reviews.