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 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.
82.87%
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 | 3198 days | 100% |
Chalie Dotesek | 10/10 | 3294 days | 93% |
Matthias Bohmert | 9/10 | 3607 days | 64% |
Marie Weber | 10/10 | 3615 days | 64% |
Dominik Rehbaum | 9/10 | 3629 days | 62% |
Lea Karl | 10/10 | 3658 days | 60% |
Lagarde | 9/10 | 3913 days | 37% |
Lola | 9/10 | 3914 days | 37% |
Claudia de Winter | 7/10 | 3917 days | 34% |
Mattias | 7/10 | 3917 days | 34% |
Janek Belcher | 9/10 | 3923 days | 36% |
Carolin Siegert | 10/10 | 3923 days | 37% |
Jan Legein | 10/10 | 3923 days | 37% |
Alex | 9/10 | 3924 days | 36% |
Christina | 10/10 | 3928 days | 36% |
Carla Oyarzun | 8/10 | 3928 days | 35% |
Paolo Cases | 3/10 | 3928 days | 18% |
Jenny Finch | 10/10 | 3942 days | 35% |
Adele Grandguillot | 8/10 | 3943 days | 34% |
Hadler | 2/10 | 3947 days | 14% |
Christine Helleiner | 4/10 | 3947 days | 21% |
Felicitas | 4/10 | 3947 days | 21% |
Miriam Grund | 10/10 | 3950 days | 34% |
Andreas Jung | 10/10 | 3953 days | 34% |
Aurelien Noailly | 6/10 | 3954 days | 29% |
Julie Ledanois | 8/10 | 3957 days | 33% |
Pierre Gentile | 9/10 | 3957 days | 33% |
Cindy Benayoum | 6/10 | 3957 days | 28% |
Olivia | 7/10 | 3958 days | 31% |
Jennifer Garner | 3/10 | 3959 days | 16% |
Bernhard Fulterer | 6/10 | 3962 days | 28% |
Klaus Petersen | 5/10 | 3964 days | 24% |
Kristina | 8/10 | 3964 days | 32% |
Joy Lambez | 10/10 | 3971 days | 32% |
Vincent Schaeflier | 9/10 | 3972 days | 32% |
Dan Lawson | 8/10 | 3986 days | 30% |
Sina Sacranie | 7/10 | 3986 days | 29% |
Arnaud Memay | 7/10 | 3998 days | 28% |
Marine | 10/10 | 4002 days | 30% |
Alexandra Kupper | 8/10 | 4008 days | 28% |
Romina Bolz | 7/10 | 4010 days | 27% |
Kellie | 10/10 | 4010 days | 29% |
Mike and Caroline | 4/10 | 4280 days | 2% |
Annika Schmidt | 8/10 | 4285 days | 4% |
Verena | 9/10 | 4302 days | 3% |
Ben Martin | 8/10 | 4304 days | 3% |
Cloarec Guillaume | 9/10 | 4306 days | 3% |
Steen Rausmussen | 9/10 | 4309 days | 2% |
Will and Taylor | 9/10 | 4311 days | 2% |
Hannah Lia-Isis Kubillus | 10/10 | 4315 days | 2% |
Brendon Furney | 5/10 | 4315 days | 0% |
Jacob Bernhardt | 10/10 | 4316 days | 2% |
Jean Raisin | 8/10 | 4317 days | 1% |
Janine Kohlgrueler | 8/10 | 4318 days | 1% |
David Lee | 9/10 | 4323 days | 1% |
Elodie and jo | 8/10 | 4334 days | 0% |
Bene | 9/10 | 4387 days | 41% |
Julien Bocherens | 10/10 | 4387 days | 41% |
Lauret Stulemeyer | 5/10 | 4389 days | 31% |
Moorman | 7/10 | 4392 days | 38% |
Jan Sjoerdtje | 8/10 | 4392 days | 41% |
Alexandra van den Brack | 6/10 | 4398 days | 35% |
Marian | 8/10 | 4403 days | 41% |
Ron | 8/10 | 4405 days | 41% |
Reinhard Stahl | 9/10 | 4406 days | 41% |
Reinhard Stahl | 9/10 | 4406 days | 41% |
Doan | 8/10 | 4406 days | 41% |
Milena Heinrich | 10/10 | 4407 days | 41% |
Faassen | 7/10 | 4409 days | 38% |
Petra | 8/10 | 4412 days | 41% |
Julia Ramseier | 8/10 | 4413 days | 41% |
Lisa Blake | 7/10 | 4417 days | 38% |
Megan Child | 10/10 | 4418 days | 41% |
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.
2.28% 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.