Hey, thanks for your interest in how we calculate an experience's ranking score. It's at the core of Rankers so I'm pleased you're curious.
The ranking score percentage is used to compare and sort experiences in ranking tables. It is not necessarily a direct measurement of the quality of a particular experience as rated by its customers. I've found it a useful tool to allow me to find the best experiences with confidence. But I've also found it important to read the customer reviews before making any final judgements!
We calculate an experience's ranking score using a multi-factor data model instead of a raw data average (mean). This model takes into account several important questions. For instance - is there a trusted body of reviews? What is the age of a review and is the review from a credible source?
Below you'll find details around some of the important factors that went into calculating the ranking score for Waiomu Domain Beachfront Reserve.
If you have any questions or comments about our ranking score calculation please get in touch at info@rankers.co.nz. We don't believe this is perfect or complete so we're always interested in ways we might make improvements.
Waiomu Domain Beachfront Reserve
Valid Reviews
48 Valid Reviews
The Waiomu Domain Beachfront Reserve experience has a total of 50 reviews. There are 48 valid reviews that are included when calculating the ranking score and 2 invalid reviews that are excluded from the calculation. Reviews can be excluded only when a reviewer is not verified or after an investigation by our team determines the reviewer is not genuine.
Below is the distribution of ratings for the 48 valid reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 24 |
|
50% |
| 9/10 | 15 |
|
31% |
| 8/10 | 5 |
|
10% |
| 7/10 | 0 |
|
0% |
| 6/10 | 2 |
|
4% |
| 5/10 | 1 |
|
2% |
| 4/10 | 1 |
|
2% |
| 3/10 | 0 |
|
0% |
| 2/10 | 0 |
|
0% |
| 1/10 | 0 |
|
0% |
90.83% Average
The raw data average (mean) for all the Waiomu Domain Beachfront Reserve valid reviews is 90.83% and is based on 48 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
Weighted Average
87.14%
Rankers calculates a weighted mean as a base average on which we can improve. Individual review's ratings are given a weight based on several factors. The weight of a review determines the overall impact it'll have on the final weighted average.
Recent reviews have more weight as they are more relevant and reflect the experience as it currently operates. Over time reviews become less relevant and loose their impact on the ranking score.
Low rating reviews carry slightly less weight. This dampens the effect of very low ratings for every experience across the board. This is especially important when the experience has few reviews overall and a single negative rating can grossly mischaracterise an experience. Consistent poor reviews will still result in the experience receiving a comparitively low ranking score.
Credible sources provide reviews that can be trusted. If we have verified a reviewer is genuine via a face-to-face meeting then the review carries additional weight.
| Reviewer | Rating | Age | Relative Weight |
|---|---|---|---|
| Bon | 9/10 | 50 days | 100% |
| Alfred | 4/10 | 200 days | 64% |
| Jonathan Buckley | 10/10 | 262 days | 97% |
| Marco B. | 9/10 | 476 days | 87% |
| Little | 6/10 | 506 days | 74% |
| Aaron | 8/10 | 596 days | 79% |
| Tartan Tui | 8/10 | 627 days | 77% |
| Maria | 9/10 | 627 days | 77% |
| Stephane | 10/10 | 688 days | 74% |
| Joseph Dunn | 9/10 | 688 days | 73% |
| FRANDS | 9/10 | 749 days | 68% |
| Rya | 10/10 | 931 days | 51% |
| Valeria | 9/10 | 931 days | 50% |
| Mereti | 5/10 | 931 days | 38% |
| Catie | 10/10 | 962 days | 48% |
| Lucy | 8/10 | 962 days | 47% |
| Dillon | 10/10 | 1023 days | 42% |
| Mayla | 10/10 | 1023 days | 42% |
| Josie | 10/10 | 1054 days | 39% |
| Tim | 10/10 | 1084 days | 36% |
| Gerwin Witte | 10/10 | 1237 days | 24% |
| andrea cameron | 10/10 | 1296 days | 20% |
| Arie | 8/10 | 1296 days | 20% |
| Linda | 10/10 | 1327 days | 19% |
| Flo | 9/10 | 1358 days | 17% |
| BerryD | 9/10 | 1449 days | 12% |
| PRB | 6/10 | 1602 days | 6% |
| Mike&Fe | 10/10 | 1633 days | 6% |
| Sharlene | 9/10 | 1692 days | 5% |
| Alex | 10/10 | 2057 days | 4% |
| Vanessa | 9/10 | 2057 days | 4% |
| Roy Swan | 10/10 | 2210 days | 3% |
| Kate | 9/10 | 2241 days | 3% |
| Celeste | 9/10 | 2363 days | 3% |
| Kat Rolls & Debbie Hamill | 10/10 | 2484 days | 3% |
| Sophie | 10/10 | 2484 days | 3% |
| Soph | 9/10 | 2545 days | 3% |
| Dydee | 10/10 | 3063 days | 2% |
| Stefan Hohmann | 8/10 | 3212 days | 1% |
| Jo Dawson | 10/10 | 3331 days | 1% |
| Cyril Marques | 9/10 | 3497 days | 1% |
| Louise Duncan | 10/10 | 3582 days | 1% |
| Anke Steinwandel | 10/10 | 3611 days | 1% |
| Eric Pollard | 10/10 | 3645 days | 1% |
| Lyn Pobke | 10/10 | 3714 days | 0% |
| Jon Puttick | 10/10 | 3820 days | 0% |
| Christina Sperling | 9/10 | 3915 days | 0% |
| Zoe | 10/10 | 3923 days | 0% |
Adjustments
No Adjustment
Several adjustments to the weighted average may be added to improve relevancy and credibility. Waiomu Domain Beachfront Reserve does not meet the criteria for any of these adjustments to apply.
Balancing Adjustment
1.43% Adjustment
Every experience's review score is adjusted to balance out the disproportional number of negative reviews that are contributed.
You won't be surprised to learn that disgruntled folk are more likely to leave a review than happy ones. They are motivated to share their experience and warn others. We consider this a good thing and it's why reading the reviews is important. However we've learned it can misrepresent the experience in a more overall sense.
We apply a balancing adjustment to counteract this effect and ensure the ranking score is a more fair representation of the experience. This adjustment is applied equally to all experiences.
Final Ranking Score
89%
The final ranking score once any adjustments, ratings, and rounding has been applied. This value is recalculated each day and a short rolling average is applied. Therefore it may not be precisely accurate based on the other values presented.