PeerSpot’s ranking algorithm, represented by a bar graph length, is based on a weighted aggregate score. Our rankings are based on 5 ranking metrics:
Category rankings are recalculated at the beginning of each month based on the new reviews published, older reviews that have ‘expired’ (published > 24 months ago), and other recent metrics such as impressions.
If we suspect a vendor has used artificial means intended to increase the ranking data, our team will thoroughly investigate the suspect foul play and take corrective action as needed (ex: use of a click farm by a vendor in order to increase views or comparisons of their product).
Vendors cannot delete reviews, but if they see a post that they feel is inconsistent with our Community Guidelines or Terms of Use and should be removed, they can explain why they feel the review should be removed, and our verification team will look into the issue and take appropriate action if needed.
Product rating stands for the average rating provided by users for the product.
Reviews ranking calculation:
Product reviews are the number of reviews published. A larger number of reviews suggests that a product is popular and widely used. This might be due to its high quality, strong marketing, or a combination of factors.
Reviews ranking calculation:
For example, if product X has 80 reviews, and the product with the most reviews has 100 reviews, then product X has 80% of the points.
15 * 80% = 12 Points
*Reviews that are more than 24 months old , as well as those written by resellers , are completely excluded from the ranking algorithm.
The Words per review ranking stands for the average number of words per review of a specific product. A review with more info and insights indicates that user is actively engaged and find it valuable enough to share their experiences in detail.
Words per Review ranking calculation:
Product comparisons stand for the number of times a product in a category was compared with all other products in the same category. This includes attributing a category view to each product based on the primary category of the product it is compared with, ensuring relevance across appropriate categories.
Comparison ranking calculation:
For example, if product X has 80% of the comparisons the category comparisons leader has, then product X will receive 20 points.
25 * 80% = 20 Points
Product views stands for the number of times a product was viewed by real users. This indicates potential interest or awareness around a specific solution, and can be valuable for gauging popularity and reach. Since a product can be listed in more than one category, the ranking calculation is relative and based on the percentage of the specific category comparisons out of the total comparisons of the product. This helps to assign only the category-relevant views.
To summarize:
Views ranking calculation:
For example, if product X has 10,000 views in total, 200 Comparisons with other products in the category and a total of 1,000 Comparisons, the product will be assigned 20% of the total number of Views.
25 * 20% = 5 Points
Rankings for June 2023 and earlier used our previous ranking methodology:
For Average Rating , the maximum score is 28 points awarded linearly between 6-10 (e.g. 6 or below=0 points; 7.5=10.5 points; 9.0=21 points; 10=28 points).
For Reviews, Words/Review, Views and Comparisons , the maximum score is 18 points each.
For example, if product X has 80% of the number of reviews compared to the product with the most reviews, then the product’s points for reviews would be:
18 (weighting factor) * 80% = 14.4
Product Comparison Rankings for May 2025 and earlier used our previous ranking methodology:
Product comparisons stand for the number of times a product in a category was compared with all other products in the same category.
Comparison ranking calculation:
For example, if product X has 80% of the comparisons the category comparisons leader has, then product X will receive 20 points.
25 * 80% = 20 Points
In each category, every product that has at least 40 points is:
When viewing the rankings filtered based on company size, the company sizes are:
Views and comparisons are based on the company size of people reading reviews. Reviews, rankings, and words/reviews are based on the company size of reviewers.
We require new users to register with their LinkedIn profile or company email address. This requirement enables us to prevent vendors or other non-users from posting fake reviews. This verification process allows us to put measures in place to identify suspicious users and/or fraudulent posts. The validation process combined with active community moderation and our commitment to review every post, gives us confidence in our information.
We take pride in being an objective site offering authentic reviews from real users. We ensure our reviews are authentic with several steps to ensure authenticity:
The default ordering of reviews on a product page is according to the date the review was published or last updated. Visitors can change the ordering of reviews to be based on review length, highest ranking, and lowest ranking.
By default, all reviews appear on product pages however reviews that are 24 months or older no longer count towards the category rankings. Visitors can choose to exclude older reviews using the filter on the product page.
Data displayed regarding the top comparisons for each product and category are based on live data of products compared by enterprise tech buyers. In order for a comparison to be displayed, it must hit a minimum threshold to ensure accuracy.
Have questions about our ranking methodologies? Reach out to methodology@peerspot.com
