Kia ora, 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 Blue Pools Track.
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.
72 Valid Reviews
The Blue Pools Track experience has a total of 73 reviews. There are 72 valid reviews that are included when calculating the ranking score and 1 invalid review 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 72 valid reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 20 |
|
28% |
| 9/10 | 24 |
|
33% |
| 8/10 | 18 |
|
25% |
| 7/10 | 6 |
|
8% |
| 6/10 | 3 |
|
4% |
| 5/10 | 1 |
|
1% |
| 4/10 | 0 |
|
0% |
| 3/10 | 0 |
|
0% |
| 2/10 | 0 |
|
0% |
| 1/10 | 0 |
|
0% |
86.81% Average
The raw data average (mean) for all the Blue Pools Track valid reviews is 86.81% and is based on 72 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
57 Face-to-Face Reviews
The Rankers team meets with travellers while they’re in New Zealand and conducts face-to-face surveys. These reviews, in our opinion, are the most trusted in the industry and represent a critical control sample. To our knowledge, we are the only travel review website in the world that has gone to this extent.
More about face-to-face reviews
Within the 72 valid reviews, the experience has 57 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 57 face-to-face reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 13 |
|
23% |
| 9/10 | 20 |
|
35% |
| 8/10 | 17 |
|
30% |
| 7/10 | 6 |
|
11% |
| 6/10 | 1 |
|
2% |
| 5/10 | 0 |
|
0% |
| 4/10 | 0 |
|
0% |
| 3/10 | 0 |
|
0% |
| 2/10 | 0 |
|
0% |
| 1/10 | 0 |
|
0% |
86.67% Average
The raw data average (mean) for all the Blue Pools Track face-to-face reviews is 86.67% and is based on 57 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.
78.31%
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 |
|---|---|---|---|
| Mike Fricker | 6/10 | 851 days | 100% |
| Lucy | 10/10 | 1459 days | 25% |
| Andrew Hammond | 8/10 | 2524 days | 7% |
| Flatlanders | 5/10 | 2709 days | 4% |
| Katrina | 10/10 | 3163 days | 4% |
| Samantha Brewin | 10/10 | 3205 days | 4% |
| Magdalena | 10/10 | 3514 days | 3% |
| Luuk Kienhorst | 6/10 | 3518 days | 2% |
| Sammy Kerrod | 9/10 | 3520 days | 3% |
| Chris Schmolz | 9/10 | 3525 days | 3% |
| Colin Fisher | 7/10 | 3525 days | 3% |
| Katrina Sedl | 8/10 | 3525 days | 3% |
| Shay | 10/10 | 3681 days | 2% |
| Jaime Alarma Olmos | 8/10 | 3791 days | 2% |
| Kirsten Helsgaun | 8/10 | 3791 days | 2% |
| Valerie Bernardini | 9/10 | 3793 days | 2% |
| Navina | 10/10 | 3793 days | 2% |
| gonzalo caldiz | 9/10 | 3793 days | 2% |
| Juan Viscegle | 7/10 | 3797 days | 2% |
| Sydney Lupton | 7/10 | 3806 days | 2% |
| Mira Huckfield | 9/10 | 3810 days | 2% |
| Lili Souris | 9/10 | 3813 days | 2% |
| Flo Egger | 10/10 | 3815 days | 2% |
| Remi Lopez | 9/10 | 3823 days | 2% |
| Wil Goes | 8/10 | 3829 days | 2% |
| Dorothy | 10/10 | 3834 days | 2% |
| Lisa | 8/10 | 3843 days | 2% |
| Brandon Patton | 10/10 | 3846 days | 2% |
| Ferry and Carlyn | 10/10 | 3849 days | 2% |
| Wayne Brew | 7/10 | 3854 days | 1% |
| Sandy Stamp | 6/10 | 3866 days | 1% |
| Monika Dippel | 8/10 | 3878 days | 1% |
| Sabine | 9/10 | 3878 days | 1% |
| Philipp | 8/10 | 3899 days | 1% |
| Tom Reber | 9/10 | 4003 days | 1% |
| Nina Gottselig | 9/10 | 4216 days | 0% |
| Cora and Franzi | 9/10 | 4251 days | 0% |
| Claudia Hillebrand | 8/10 | 4508 days | 1% |
| Andrea Sole | 7/10 | 4510 days | 1% |
| Sybille Willenbrock | 9/10 | 4557 days | 1% |
| Viola | 8/10 | 4562 days | 1% |
| Anne and Steve Bartlett | 9/10 | 4586 days | 1% |
| Andrea Beck | 10/10 | 4594 days | 1% |
| Claudia | 10/10 | 4597 days | 1% |
| shaynne thompson | 10/10 | 4869 days | 1% |
| Stella Thoben | 10/10 | 4902 days | 1% |
| Justin Leest | 8/10 | 4904 days | 1% |
| Anna Neuenfeldt | 10/10 | 4906 days | 1% |
| Francois Marchar | 10/10 | 4910 days | 1% |
| Mike Edwards | 9/10 | 4975 days | 1% |
| Kevin Desjandino | 10/10 | 4977 days | 1% |
| N Zitscher | 10/10 | 4993 days | 1% |
| James Darren Tennant | 8/10 | 5002 days | 1% |
| Thomas & Ruth Hardmeier | 9/10 | 5282 days | 1% |
| damaca | 9/10 | 5446 days | 1% |
| Margit and Corein Groenevelt | 8/10 | 5617 days | 1% |
| Fredrik Thornell | 9/10 | 5621 days | 1% |
| Ian & Phyllis | 8/10 | 5623 days | 1% |
| Diane Johnston | 8/10 | 5624 days | 1% |
| Fiona Crossley | 9/10 | 5631 days | 1% |
| Robert Smith | 9/10 | 5650 days | 1% |
| Gillian de Vries | 8/10 | 5652 days | 1% |
| Robert Haidt | 8/10 | 5652 days | 1% |
| Leontine van Laar | 9/10 | 5654 days | 1% |
| Quin | 8/10 | 5965 days | 1% |
| Polil | 10/10 | 5982 days | 1% |
| Arnold | 7/10 | 5987 days | 1% |
| Rod C | 9/10 | 5994 days | 1% |
| Trude | 9/10 | 5998 days | 1% |
| Sievers | 9/10 | 5999 days | 1% |
| Jackie | 9/10 | 6015 days | 1% |
| Belinda Godhard | 10/10 | 6021 days | 1% |
No Adjustment
Several adjustments to the weighted average may be added to improve relevancy and credibility. Blue Pools Track does not meet the criteria for any of these adjustments to apply.
3.50% 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.
82%
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.