All Collections
Widget Customization
How We Calculate Review Quality Scores
How We Calculate Review Quality Scores

How does quality sorting work in Fera? What are the main attributes for quality sorting?

Vasko Ikonomov avatar
Written by Vasko Ikonomov
Updated over a week ago

In order to provide the best results possible, Fera calculates the quality score based on several attributes, including:

  • Freshness - When was the review submitted? Generally speaking, newer reviews have a higher chance of ranking at the top. For instance, a review from 2 years ago is ranked lower than a review written yesterday

  • Photos and Videos - Are there any photos and videos in the review? The number of photos and videos attached has a diminishing effect. That is, 5 photos attached is ranked only slightly higher than 3 photos attached, but 1 photo attached is ranked much higher than 0.

  • Verification - Is the customer who wrote the review a verified buyer? In general, customers with verification rank higher than customers that don't have a verification badge.

  • Customer Transparency - Is the customer who wrote the review transparent about who they are? For example, anonymous reviews are considered a bit lower quality.

  • Textual Correctness - Reviews that don't have any text spelling and grammar mistakes are ranked higher.

  • Robustness - Does the review content have any details on why the customer felt this way?

  • Reply - Replies can have a massive impact on the sorting. Negative reviews that have an honest reply that address the initial concern are ranked lower than the ones without a reply. On the other hand, positive reviews that have a reply within the first few hours will be ranked higher than the ones without a reply.

Did this answer your question?