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 Awastone.
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.
49 Valid Reviews
The Awastone experience has a total of 52 reviews. There are 49 valid reviews that are included when calculating the ranking score and 3 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 49 valid reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 33 |
|
67% |
| 9/10 | 9 |
|
18% |
| 8/10 | 6 |
|
12% |
| 7/10 | 0 |
|
0% |
| 6/10 | 1 |
|
2% |
| 5/10 | 0 |
|
0% |
| 4/10 | 0 |
|
0% |
| 3/10 | 0 |
|
0% |
| 2/10 | 0 |
|
0% |
| 1/10 | 0 |
|
0% |
95.21% Average
The raw data average (mean) for all the Awastone valid reviews is 95.21% 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.
93.35%
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 |
|---|---|---|---|
| Sol | 8/10 | 14 days | 100% |
| KL | 8/10 | 289 days | 95% |
| Mark B | 9/10 | 317 days | 95% |
| Nikolaj Brandt | 10/10 | 348 days | 95% |
| Ellie | 10/10 | 379 days | 94% |
| CB | 8/10 | 1048 days | 39% |
| Alastair McQueen | 10/10 | 1140 days | 32% |
| Sue | 10/10 | 1140 days | 32% |
| Andrew Kermode | 10/10 | 1201 days | 27% |
| Laura E | 10/10 | 1505 days | 11% |
| Linda Eagleton | 10/10 | 1778 days | 5% |
| Mary and David NZ | 9/10 | 2144 days | 4% |
| Lisa | 10/10 | 2236 days | 4% |
| Nik | 10/10 | 2450 days | 3% |
| Marty | 6/10 | 2481 days | 3% |
| Jess | 10/10 | 2481 days | 3% |
| Brian Palmer | 10/10 | 2540 days | 3% |
| Nat | 9/10 | 2846 days | 3% |
| Christoph Emch | 10/10 | 2893 days | 3% |
| julie leaver | 10/10 | 2905 days | 3% |
| Liam Gardiner | 9/10 | 2927 days | 2% |
| Maggie Crowe | 10/10 | 2930 days | 3% |
| Pier-Yves Poulin | 10/10 | 2944 days | 2% |
| Michael Ebner | 10/10 | 2946 days | 2% |
| Glenn Hedges | 10/10 | 2996 days | 2% |
| Christoper Crowhurst | 9/10 | 3005 days | 2% |
| Peter Waller | 9/10 | 3009 days | 2% |
| Haidar Mahdi | 10/10 | 3012 days | 2% |
| Bruce May | 10/10 | 3086 days | 2% |
| Sean Cox | 10/10 | 3283 days | 2% |
| Ursula Schoenenberger | 8/10 | 3287 days | 2% |
| Maria Frandsen | 10/10 | 3295 days | 2% |
| Jayma Dancer | 9/10 | 3336 days | 2% |
| Brooke Hammond | 10/10 | 3378 days | 2% |
| Erin Polcyn Sailer | 8/10 | 3525 days | 1% |
| Antoine Greiller | 10/10 | 3599 days | 1% |
| Nick Coulson | 10/10 | 3610 days | 1% |
| Jen Sau | 9/10 | 3697 days | 1% |
| Corry Stucki | 9/10 | 3719 days | 1% |
| Ernest paw | 10/10 | 3727 days | 1% |
| Darlene | 10/10 | 3728 days | 1% |
| Steve | 10/10 | 4000 days | 0% |
| Thomas Blom | 8/10 | 4001 days | 0% |
| exts | 10/10 | 4032 days | 0% |
| Fiona McGregor | 10/10 | 4185 days | 0% |
| Nigel Gee | 10/10 | 4427 days | 1% |
| Bruce Paterson | 10/10 | 4672 days | 1% |
| caravan1 | 10/10 | 4700 days | 1% |
| Shannan Scott | 10/10 | 4823 days | 1% |
No Adjustment
Several adjustments to the weighted average may be added to improve relevancy and credibility. Awastone does not meet the criteria for any of these adjustments to apply.
1.10% 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 customers 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.
90%
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.