How does SolarReviews determine a company’s rating?

Unbiased reviews.

No company can pay to alter the reviews or review scores shown on our site. Some companies pay us a small, fixed referral fee if you request a quote but we never earn any commission from sales. Any editorial content is not influenced by financial relationships.

Bayesian Average

The way in which SolarReviews scores solar companies is not simply calculated by taking the average of all review scores, as this "review average" would not properly represent the trustworthiness of a company. For example, if a simple average was used, companies with only 1 review of 5 stars would be the top-ranked companies. It makes sense that a company with over 100 reviews and a 4.7 rating should rank higher than a company with only 1 review at 5 stars. To combat this dilemma, SolarReviews uses what is called a "Bayesian Average". This is the industry standard for calculating review scores.

With a Bayesian Average, every solar company starts out with 5 "empty" reviews, each with a score of 3.5 stars. When the first real review comes in, it is averaged against the 5 existing "empty" reviews. This means that if the first review is 5 stars, the total review score will be the average of:

( 3.5 x 5 + 5 ) ÷ 6 =

This is to ensure that a company with, say, only 1 review of 1 star, would be ranked higher than that 1 star, and a company with 1 review of 5 stars would be ranked lower than 5 stars. The goal is to accurately reflect reviews by rewarding companies that are able to achieve consistently high scores over a large quantity of reviews. Over time, if a company has hundreds of satisfied customers who leave 5-star reviews, the score will get closer and closer to a perfect score (5 stars).

Recency of review

Another important factor that needs to be taken into account is the recency of reviews. The goal of coming up with a review score is to determine a company's trustworthiness. A review posted less than a year ago is a better indicator of a company’s trustworthiness than a review that is over 3 years old. Therefore, the reviews are weighted as follows:

  • Reviews within the past 12 months are weighted at 100%
  • Reviews between 13-24 months old are weighted at 66%
  • Reviews older than 25 months are weighted at 33%

The combination of the Bayesian Average and review recency weighting provides the formula for the SolarReviews rating. Solar companies that are able to garner a large quantity of highly-scored reviews in the past year will have the highest-ranking scores.

Review Approval

  • All reviews are manually checked in our approval process. We may not approve all reviews.
  • Reviews that are approved may not necessarily be approved in a timely manner. This may affect the overall rating due to the time-weighting of reviews.
  • We may require additional verification of reviews from consumers to verify their accuracy and authenticity.

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