How We Rank
Our transparent methodology ensures fair, accurate, and unbiased rankings.
At AffiliateRank, we take our responsibility seriously. Players rely on our rankings to find trustworthy platforms, which is why we've developed a rigorous, multi-factor evaluation system that leaves no room for bias.
Every platform we list undergoes the same comprehensive review process. Our scores are calculated using objective criteria, and we regularly re-evaluate sites to ensure rankings remain current and accurate.
How the score is calculated
Every listing carries a score out of 10. It is produced automatically from six weighted factors, re-run on a schedule rather than set by hand. The weights below are the weights the system actually applies.
User rating
25% WeightThe average rating left by registered users who have reviewed the platform.
How it is calculated
The mean of all approved user ratings, with a small bonus as the number of reviews grows.
When there are no reviews
The platform receives a neutral 5/10 for this factor rather than a penalty.
Click performance
20% WeightHow often visitors choose this platform from our listings, measured over the current month.
How it is calculated
A logarithmic score derived from monthly outbound clicks, so early clicks move the score more than later ones.
Why it counts
Sustained visitor preference is the only signal we hold that reflects real user choice at scale.
Content quality
20% WeightHow complete and substantial the written profile for the platform is.
What we measure
Description length, the number of listed pros, and the number of listed cons.
What it is not
This measures the depth of our profile, not the quality of the platform itself.
Freshness
15% WeightHow recently the listing was last re-checked and updated.
How it decays
A listing checked within 24 hours scores 10/10; the score tapers over the following weeks.
Floor
A listing that has not been checked in over a month cannot score below 2/10 on this factor.
Engagement
10% WeightHow many users have saved the platform to their favourites, alongside total click volume.
What we measure
Favourite counts and lifetime outbound clicks.
Why it is weighted low
Engagement is a weaker signal than a rating or a considered click.
Profile completeness
10% WeightHow many of the structured data fields on the listing are populated.
What we measure
Fields such as licence details, bonus terms, payment methods, and support channels.
Why it counts
An incomplete profile is less useful to compare against, so it ranks lower.
How a listing gets here
Discovery
Platforms are found through automated discovery of the casino comparison sector and added as draft listings.
Data extraction
Public information about each platform is collected and mapped onto the structured fields we compare on.
Editorial check
A listing is reviewed before it is published, and marked as verified only once its licence details have been confirmed against the regulator.
Scoring
The six weighted factors above are calculated automatically and combined into the score shown on the listing.
Re-scoring
Scores are recalculated on a schedule, so listings move as their data, freshness and click performance change.
Our Independence
AffiliateRank earns commission when a visitor signs up with a platform through one of our links. No platform can buy a position, and no platform pays us to be scored more favourably.
We would rather be precise than flattering about what that means. Two of the six scoring factors — click performance and engagement, 30% of the score between them — are driven by how many visitors choose a platform from our listings. Because we may earn commission on those same clicks, a platform that converts well with our audience will tend to rank higher over time. That is a genuine feedback loop, and you should read our rankings with it in mind.
The remaining 70% — user ratings, content quality, freshness and profile completeness — is unaffected by any commercial relationship. Listings we earn nothing from are scored on exactly the same six factors as listings we do.