How is my brand's star rating calculated?

CozyCot calculates a star rating using machine-learned models instead of a simple average. These models consider a few important things:

• Recent Reviews:

The newer the review, the more it affects the rating. This helps show how your brand is doing lately, giving customers a current picture.

• Time Span:

CozyCot looks at all the reviews over time. This helps keep your star rating steady, preventing it from changing too much based on just a few recent reviews. It gives a fair view of your brand's performance over the long run.

• Bayesian Average:

CozyCot uses a Bayesian average, a statistical method that not only considers the average rating but also takes into account the number of reviews. This helps prevent small numbers of reviews from making a big impact and gives a more accurate overall rating.

This continuous learning process ensures that the star rating calculation remains accurate and reflective of the evolving nature of brands and customer experiences on the platform.