SellerSprite Review Analysis: Turn Reviews into Insights

After Amazon merged parent and child BSR, how do you identify the best selling variation? After ratings and reviews were merged, how many reviews are actually contentful? From negative reviews, what problems do buyers complain about most and most want fixed?

You can find all of these answers inside the listing's reviews. Previously, you could bulk export reviews with the SellerSprite extension and filter in Excel by variation and star rating. By comparing review counts across variations, you could infer which variation sells best. Today, the new Review Analysis feature in the SellerSprite extension automates that workflow. On the listing detail page, generate a one click report with clear, multi dimensional tables that cut research time significantly.

Want the full walkthrough? Read the Review Analysis Guide.

Example Walkthrough: ASIN B07MYWM2C6

This water shoes family has 209 variations in total. On the listing page, click Review Analysis to build the report.

You will see 8,424 ratings in total, but only 1,351 written reviews with content. 

Open the report to view review counts and share by variation. Variations with zero reviews are not shown.

In general, higher selling variations accumulate more reviews.

Star Ratings Distribution

This section shows the number of ratings for each star and each star's share of total ratings.

Average rating is 4.5. There are 6,234 five star ratings, which is 74 percent of all ratings. The high positive rate suggests a mature product with fewer after sales issues, and also limited room for improvement.
If you control your own supply chain and have strong product development capability, a niche with more negatives can be a chance to win by improving the product.

Written Review Star Distribution

This section shows the number of written reviews for each star and each star's share of total written reviews.

Here, one star written reviews are 5.7 percent, higher than the one star rating share of 3 percent. Written reviews are visible on the product page and directly influence conversion, so a higher negative share is a clear warning. Open the review list, read the specific complaints, and fix them with intent.

Feature Ratings

Data comes from the By Feature section on the listing. When buyers rate the product, Amazon suggests category specific features to rate.

These metrics show which attributes matter and how they score so you can prioritize improvements. For example, light weight scores 5.0, but comfort is 4.0, so comfort needs work.

Review Types

Out of 1,599 written reviews on this listing

• 1,562 are Verified Purchase

• 68 include images

• 5 include video for now

If this is your competitor and your own listing has more video reviews, your conversion rate may be higher.

Variation Review Stats

Use each variation's written review count and share to estimate sales by variation. This helps you choose the right variations and plan inventory with more precision. You can also switch the time window to see recent changes and adjust your stock plan.

Variation Review Trends

Select a variation to observe how its written review count changes over time and infer seasonality. We selected the variation with the most reviews, which often maps to the highest sales. There is a review peak every July. Since reviews lag orders, the sales peak likely starts in June. This insight guides when to ramp inventory and when to launch promotions.

Review List

Analyzing a competitor's reviews surfaces true product quality and buyer needs. For example, filtering one star reviews may reveal that the upper material is the main issue. If you plan to enter this niche, address that during sourcing. Or filter to the most recent one month to reflect product iterations.

You can also drill into high frequency terms in review tags. Click any term to see all related reviews. For instance, arch support appears in positive reviews but still signals a demand for better support. Solving it could lift sales in this category.

Try It Yourself

The fastest way to validate variations is to run Review Analysis on your target listings and compare the outputs side by side.

👉 Install the SellerSprite extension and try the feature now

Final Note

You could read reviews one by one or paste them into a spreadsheet for manual counting. Tools exist to give you leverage. SellerSprite Review Analysis helps you get more insights in less time.