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 Go Orange.
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.
97 Valid Reviews
The Go Orange experience has a total of 98 reviews. There are 97 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 97 valid reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 27 |
|
28% |
9/10 | 27 |
|
28% |
8/10 | 27 |
|
28% |
7/10 | 7 |
|
7% |
6/10 | 0 |
|
0% |
5/10 | 1 |
|
1% |
4/10 | 3 |
|
3% |
3/10 | 0 |
|
0% |
2/10 | 1 |
|
1% |
1/10 | 4 |
|
4% |
82.58% Average
The raw data average (mean) for all the Go Orange valid reviews is 82.58% and is based on 97 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
81 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 97 valid reviews, the experience has 81 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 81 face-to-face reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 22 |
|
27% |
9/10 | 24 |
|
30% |
8/10 | 24 |
|
30% |
7/10 | 7 |
|
9% |
6/10 | 0 |
|
0% |
5/10 | 1 |
|
1% |
4/10 | 3 |
|
4% |
3/10 | 0 |
|
0% |
2/10 | 0 |
|
0% |
1/10 | 0 |
|
0% |
85.68% Average
The raw data average (mean) for all the Go Orange face-to-face reviews is 85.68% and is based on 81 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.
84.33%
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 | 1/10 | 1826 days | 35% |
Adrian Macdonald | 9/10 | 1978 days | 100% |
Vicki Hoskinson | 10/10 | 2162 days | 92% |
Hang Tran | 1/10 | 2191 days | 28% |
Rafi | 1/10 | 2222 days | 27% |
San Thompson | 1/10 | 2406 days | 24% |
Derek Green | 9/10 | 2527 days | 74% |
Molly | 2/10 | 2528 days | 26% |
Katrina | 10/10 | 2617 days | 70% |
Jared Cordner | 8/10 | 2868 days | 57% |
Nigel Mead | 10/10 | 2892 days | 57% |
Nazlinda Md Nasir | 10/10 | 2892 days | 57% |
Klaus | 10/10 | 2895 days | 57% |
Philip Busd | 9/10 | 2898 days | 56% |
Henna | 10/10 | 2923 days | 55% |
Felicity Hughes | 10/10 | 2933 days | 55% |
Sandra Marangi | 4/10 | 2942 days | 30% |
Sebasitian | 9/10 | 2945 days | 54% |
Max Mueller | 10/10 | 2967 days | 53% |
Barbara Knops | 10/10 | 2971 days | 53% |
Jasmine Rogers | 4/10 | 2985 days | 29% |
Olde Vogel | 8/10 | 2985 days | 51% |
Connor Hormell | 10/10 | 2986 days | 52% |
Karlee Hormell | 8/10 | 2987 days | 51% |
Petr Jesko | 7/10 | 2988 days | 48% |
Sandra Piechoua | 9/10 | 2988 days | 52% |
Joni Vihakara | 9/10 | 2989 days | 52% |
Bruno | 10/10 | 2991 days | 52% |
Megan Jurgensmeyer | 10/10 | 3020 days | 51% |
Timothy Delaney | 8/10 | 3187 days | 41% |
Jorg Muller | 10/10 | 3225 days | 41% |
Max | 8/10 | 3228 days | 39% |
Olivier Reculeau | 10/10 | 3229 days | 41% |
Coralie Dhenin | 4/10 | 3230 days | 21% |
Anja Rakers | 9/10 | 3231 days | 40% |
Valentine de Beer | 9/10 | 3232 days | 40% |
Mathilde | 8/10 | 3239 days | 39% |
Floriane Desnoyer | 9/10 | 3240 days | 39% |
Renoit Besnard | 8/10 | 3243 days | 39% |
Jaime Alarma Olmos | 10/10 | 3245 days | 40% |
Dominique | 9/10 | 3249 days | 39% |
Derick Trotter | 8/10 | 3249 days | 38% |
Dennis Springer | 8/10 | 3251 days | 38% |
Laura Mahdavian | 10/10 | 3254 days | 39% |
Stan | 9/10 | 3254 days | 39% |
Alexander Mattea | 7/10 | 3255 days | 36% |
S Black | 8/10 | 3257 days | 38% |
Gae Saevane | 8/10 | 3258 days | 38% |
Joe Rogers | 8/10 | 3262 days | 38% |
Riviere | 9/10 | 3269 days | 38% |
Gerardo Furtado | 10/10 | 3275 days | 38% |
Melanie Kronbichler | 8/10 | 3288 days | 37% |
Lucile Souday | 8/10 | 3296 days | 36% |
Franziska Hohmann | 9/10 | 3301 days | 37% |
Ian Hortop | 10/10 | 3302 days | 37% |
Rachael and Nik | 7/10 | 3302 days | 33% |
Gregory | 7/10 | 3304 days | 33% |
Laura Sturm | 10/10 | 3342 days | 35% |
Xue Rong Kok | 10/10 | 3348 days | 35% |
Frans Diebrink | 9/10 | 3348 days | 34% |
Fides | 10/10 | 3614 days | 22% |
Christoph | 8/10 | 3614 days | 21% |
Vanessa | 9/10 | 3614 days | 22% |
Chris | 10/10 | 3614 days | 22% |
Annika Funk | 8/10 | 3649 days | 19% |
Ivan Dimitrov | 9/10 | 3672 days | 19% |
Cora and Franzi | 10/10 | 3705 days | 17% |
Stefanie | 8/10 | 3957 days | 5% |
Karolina Gren | 7/10 | 3958 days | 4% |
Maria-Julia Frilaj | 8/10 | 3966 days | 4% |
Adriana | 9/10 | 3966 days | 5% |
Pavel Jarolimek | 8/10 | 3966 days | 4% |
Lilli Erni | 10/10 | 3967 days | 5% |
Manuel Bleiker | 9/10 | 3967 days | 5% |
Marie Toulemonde | 5/10 | 3968 days | 0% |
Annika Marz | 10/10 | 3981 days | 4% |
Julian Zeissler | 9/10 | 3981 days | 4% |
Claudia Bauch | 9/10 | 3987 days | 4% |
thibaut vernelle | 9/10 | 3987 days | 4% |
Mara | 8/10 | 3991 days | 3% |
Andrea Morello | 8/10 | 3991 days | 3% |
Vera Kreipe | 8/10 | 3994 days | 3% |
Kathrin Deichmann | 8/10 | 3994 days | 3% |
Carolin Kettler | 9/10 | 4003 days | 3% |
Matusala Habtemariam | 9/10 | 4013 days | 2% |
Francisco Pablo Miguel | 7/10 | 4014 days | 1% |
Bjoern | 8/10 | 4016 days | 2% |
Viola | 9/10 | 4016 days | 2% |
Amanda | 10/10 | 4017 days | 2% |
Julien de la lande | 9/10 | 4030 days | 2% |
Aude Moulin | 9/10 | 4030 days | 2% |
Emmanuelle Brevier | 7/10 | 4037 days | 0% |
Jean Batiste Le meur | 8/10 | 4037 days | 1% |
Doran Swartz | 9/10 | 4038 days | 1% |
Sapir Lifshitz | 8/10 | 4038 days | 1% |
Maya Barad | 8/10 | 4038 days | 1% |
Nora Zeitz | 10/10 | 4047 days | 1% |
Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.
No Adjustment
A reasonable number of reviews are necessary in order for the average to be credible and for an experience to take a prime position within the ranking tables. As such, experiences with only a few reviews have a moderated score. This does not mean that the experience or the reviews can't be trusted. The Go Orange experience has plenty of reviews and does not meet the criteria for any adjustment.
-4.14% Adjustment
There may be an adjustment if this experience hasn't received any reviews within the last 49 days. However the Go Orange experience does not meet the criteria for any adjustment.
In addition, an experience's ranking score may be adjusted for each day there is no new ranking. After 1 day the adjustment comes into effect. The maximum number of days that can be adjusted for is 200 days. Due to the seasonal nature of many businesses, this adjustment is applied dynamically throughout the year.
The Go Orange experience has been adjusted for 200 days. Adjustments are according to the following table.
Days | Adjustment |
---|---|
… | … |
197 | -4.08% |
198 | -4.10% |
199 | -4.12% |
200 | -4.14% |
201 | -4.16% |
202 | -4.18% |
203 | -4.20% |
… | … |
2.95% 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.
83%
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.