Hi, 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 Wellington isite Visitor Information Centre.
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.
73 Valid Reviews
The Wellington isite Visitor Information Centre experience has a total of 73 valid reviews. There are no 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 73 valid reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 17 |
|
23% |
9/10 | 17 |
|
23% |
8/10 | 17 |
|
23% |
7/10 | 9 |
|
12% |
6/10 | 4 |
|
5% |
5/10 | 3 |
|
4% |
4/10 | 3 |
|
4% |
3/10 | 2 |
|
3% |
2/10 | 1 |
|
1% |
1/10 | 0 |
|
0% |
79.59% Average
The raw data average (mean) for all the Wellington isite Visitor Information Centre valid reviews is 79.59% and is based on 73 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
69 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 73 valid reviews, the experience has 69 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 69 face-to-face reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 16 |
|
23% |
9/10 | 15 |
|
22% |
8/10 | 17 |
|
25% |
7/10 | 9 |
|
13% |
6/10 | 4 |
|
6% |
5/10 | 3 |
|
4% |
4/10 | 2 |
|
3% |
3/10 | 2 |
|
3% |
2/10 | 1 |
|
1% |
1/10 | 0 |
|
0% |
79.57% Average
The raw data average (mean) for all the Wellington isite Visitor Information Centre face-to-face reviews is 79.57% and is based on 69 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.
82.94%
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 |
---|---|---|---|
Jamie Serieux | 9/10 | 3241 days | 100% |
Chalie Dotesek | 10/10 | 3337 days | 92% |
Matthias Bohmert | 9/10 | 3650 days | 64% |
Marie Weber | 10/10 | 3658 days | 64% |
Dominik Rehbaum | 9/10 | 3672 days | 62% |
Lea Karl | 10/10 | 3701 days | 60% |
Lagarde | 9/10 | 3956 days | 37% |
Lola | 9/10 | 3957 days | 37% |
Claudia de Winter | 7/10 | 3960 days | 34% |
Mattias | 7/10 | 3960 days | 34% |
Janek Belcher | 9/10 | 3966 days | 36% |
Carolin Siegert | 10/10 | 3966 days | 37% |
Jan Legein | 10/10 | 3966 days | 37% |
Alex | 9/10 | 3967 days | 36% |
Christina | 10/10 | 3971 days | 36% |
Carla Oyarzun | 8/10 | 3971 days | 35% |
Paolo Cases | 3/10 | 3971 days | 20% |
Jenny Finch | 10/10 | 3985 days | 35% |
Adele Grandguillot | 8/10 | 3986 days | 34% |
Hadler | 2/10 | 3990 days | 16% |
Christine Helleiner | 4/10 | 3990 days | 22% |
Felicitas | 4/10 | 3990 days | 22% |
Miriam Grund | 10/10 | 3993 days | 34% |
Andreas Jung | 10/10 | 3996 days | 34% |
Aurelien Noailly | 6/10 | 3997 days | 29% |
Julie Ledanois | 8/10 | 4000 days | 33% |
Pierre Gentile | 9/10 | 4000 days | 33% |
Cindy Benayoum | 6/10 | 4000 days | 29% |
Olivia | 7/10 | 4001 days | 31% |
Jennifer Garner | 3/10 | 4002 days | 18% |
Bernhard Fulterer | 6/10 | 4005 days | 28% |
Klaus Petersen | 5/10 | 4007 days | 25% |
Kristina | 8/10 | 4007 days | 32% |
Joy Lambez | 10/10 | 4014 days | 32% |
Vincent Schaeflier | 9/10 | 4015 days | 32% |
Dan Lawson | 8/10 | 4029 days | 30% |
Sina Sacranie | 7/10 | 4029 days | 29% |
Arnaud Memay | 7/10 | 4041 days | 28% |
Marine | 10/10 | 4045 days | 30% |
Alexandra Kupper | 8/10 | 4051 days | 28% |
Romina Bolz | 7/10 | 4053 days | 27% |
Kellie | 10/10 | 4053 days | 29% |
Mike and Caroline | 4/10 | 4323 days | 3% |
Annika Schmidt | 8/10 | 4328 days | 4% |
Verena | 9/10 | 4345 days | 3% |
Ben Martin | 8/10 | 4347 days | 3% |
Cloarec Guillaume | 9/10 | 4349 days | 2% |
Steen Rausmussen | 9/10 | 4352 days | 2% |
Will and Taylor | 9/10 | 4354 days | 2% |
Hannah Lia-Isis Kubillus | 10/10 | 4358 days | 2% |
Brendon Furney | 5/10 | 4358 days | 1% |
Jacob Bernhardt | 10/10 | 4359 days | 2% |
Jean Raisin | 8/10 | 4360 days | 1% |
Janine Kohlgrueler | 8/10 | 4361 days | 1% |
David Lee | 9/10 | 4366 days | 1% |
Elodie and jo | 8/10 | 4377 days | 0% |
Bene | 9/10 | 4430 days | 45% |
Julien Bocherens | 10/10 | 4430 days | 45% |
Lauret Stulemeyer | 5/10 | 4432 days | 34% |
Moorman | 7/10 | 4435 days | 42% |
Jan Sjoerdtje | 8/10 | 4435 days | 44% |
Alexandra van den Brack | 6/10 | 4441 days | 39% |
Marian | 8/10 | 4446 days | 44% |
Ron | 8/10 | 4448 days | 44% |
Reinhard Stahl | 9/10 | 4449 days | 45% |
Reinhard Stahl | 9/10 | 4449 days | 45% |
Doan | 8/10 | 4449 days | 44% |
Milena Heinrich | 10/10 | 4450 days | 45% |
Faassen | 7/10 | 4452 days | 42% |
Petra | 8/10 | 4455 days | 44% |
Julia Ramseier | 8/10 | 4456 days | 44% |
Lisa Blake | 7/10 | 4460 days | 42% |
Megan Child | 10/10 | 4461 days | 45% |
No Adjustment
Several adjustments to the weighted average may be added to improve relevancy and credibility. Wellington isite Visitor Information Centre does not meet the criteria for any of these adjustments to apply.
2.26% 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.
85%
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.