The Review Insights section offers a structured analysis of customer reviews based on sociodemographic characteristics, sentiment distribution, and key themes – enabling targeted evaluation and interpretation of product feedback.
👤 Who Are the Reviewers?
On the left-hand side, you’ll see who submitted the reviews, broken down by:
Gender:
Displayed in a donut chart showing the percentage of female and male reviewers.Age Distribution:
Displayed as a horizontal bar chart that shows the share of reviewers per age group (e.g. 18–24, 25–34, etc.).
→ This reveals which target groups are especially active in leaving product feedback.
💬 What Are Reviewers Talking About?
The central section of Review Insights visualizes the most frequently mentioned topics in the reviews using an interactive bubble chart ("Key Mentions").
Each bubble represents a theme that is commonly mentioned (e.g. “Moisturizing”, “Scent”).
Bubble size = frequency of mentions.
Y-axis position = sentiment:
Top = positive perception
Bottom = negative perception
Clicking a bubble filters the reviews shown below to match that theme.
📝 What Can Be Done With the Reviews?
The bottom section displays individual reviews in full detail, including:
⭐ Star rating
🧑 Reviewer’s age & gender
🗓 Date & source (e.g. Douglas)
📄 Full review text (shown in preview, expandable on click)
🧰 Filters & Interactions
To narrow your analysis, the following filters are available:
Attribute: Themes mentioned in reviews
Rating: Filter by star level (e.g. only 5-star or critical feedback)
Gender: Male / female
Age: Filter by specific age ranges
Sort by: Date, rating, sentiment, etc.
A search bar also enables free text search across all reviews.
💡 Use Case Examples
Identify which topics are most commonly reviewed by specific age groups.
Distinguish between positive and negative sentiment on particular product features.
Use authentic reviewer language to improve claims, product copy, or feature development.