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 White Island Tours.

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.

Cymen Crick's avatar

Cymen Crick

Rankers Owner

White Island Tours

Valid Reviews

129 Valid Reviews

The White Island Tours experience has a total of 129 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 129 valid reviews:

Rating Count Percentage
10/10 48
37%
9/10 42
33%
8/10 19
15%
7/10 17
13%
6/10 0
0%
5/10 1
1%
4/10 1
1%
3/10 0
0%
2/10 0
0%
1/10 1
1%

88.29% Average

The raw data average (mean) for all the White Island Tours valid reviews is 88.29% and is based on 129 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.

Face-to-Face Reviews

105 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 129 valid reviews, the experience has 105 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 105 face-to-face reviews:

Rating Count Percentage
10/10 34
32%
9/10 35
33%
8/10 18
17%
7/10 16
15%
6/10 0
0%
5/10 0
0%
4/10 1
1%
3/10 0
0%
2/10 0
0%
1/10 1
1%

87.24% Average

The raw data average (mean) for all the White Island Tours face-to-face reviews is 87.24% and is based on 105 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.

Weighted Average

89.56%

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
Matthew Mutimer 10/10 2616 days 100%
Amanda Walden 10/10 3499 days 47%
Monique Pos 9/10 3589 days 41%
Alison Egan-Jones 9/10 3619 days 39%
Sylvain Schiber 9/10 3620 days 39%
Sylvain Chanton 10/10 3625 days 39%
Julian Gury 8/10 3633 days 38%
R. Damen 9/10 3650 days 37%
Michelle Smit 10/10 3711 days 34%
Gesa Roemer 8/10 3841 days 26%
Anais Roux 10/10 3846 days 26%
Luca Staudt 8/10 3865 days 24%
Florian Bisault 7/10 3866 days 23%
Anna Jungclaus 9/10 3873 days 24%
Signe Broedbaek 7/10 3875 days 22%
Petra Fragner 10/10 3881 days 24%
Koehler Ute 10/10 3893 days 23%
Niclas Ullno 8/10 3896 days 22%
Tamara 7/10 3897 days 21%
Chloe Guerillot 9/10 3907 days 22%
Luisa and Hannes 9/10 3920 days 21%
elena salimzhanova 10/10 3924 days 21%
Jakub Trojanek 8/10 3935 days 20%
Malina 10/10 3941 days 20%
Emma Keegan 7/10 4199 days 4%
Emilie Normand 7/10 4270 days 0%
Christopher Buch Madsen 8/10 4591 days 24%
Phil Bromby 9/10 4593 days 24%
Tobias Thull 7/10 4599 days 22%
Rita Hochstiasser 8/10 4621 days 24%
Nelle Dutilleur 10/10 4642 days 25%
Mathias Butterlin 8/10 4642 days 24%
Daryl 8/10 4650 days 24%
Bert Pubeg 9/10 4716 days 24%
Alex 8/10 5020 days 24%
Lucie 9/10 5056 days 24%
Henzen 9/10 5060 days 24%
Roy Barton 9/10 5323 days 24%
Brian Livesey 9/10 5331 days 24%
Merlyn 8/10 5339 days 24%
Beyeler 10/10 5343 days 25%
Ralf Glaser 7/10 5343 days 22%
Suzanne van Kol 8/10 5348 days 24%
kiwifrenchy 10/10 5355 days 25%
_mel_ 9/10 5386 days 24%
C 10/10 5386 days 25%
Sarah and Soren 10/10 5423 days 25%
Erik Folkersen 10/10 5431 days 25%
Rudlinger 10/10 5434 days 25%
GenH 10/10 5661 days 25%
R Tearle 10/10 5670 days 25%
Franzi & Tobi 10/10 5672 days 25%
Nathalie 10/10 5676 days 25%
Ven 9/10 5678 days 24%
Jerven and Kim 10/10 5685 days 25%
Sarah Luijckx 1/10 5687 days 6%
Alan Jeffery 7/10 5688 days 22%
Birgette Weiner 9/10 5706 days 24%
Tim Van Nispen 9/10 5708 days 24%
Bottcher 10/10 5708 days 25%
Sue & Graham Mullin 10/10 5715 days 25%
John Simpson 9/10 5717 days 24%
Karen Phillips 9/10 5717 days 24%
Michelle Booty 8/10 5719 days 24%
Nadia Husain 7/10 5720 days 22%
Dietmar Gans 10/10 6026 days 25%
Matt Roper 10/10 6048 days 25%
Chris Glasg 10/10 6065 days 25%
Jamie Hallifax 9/10 6076 days 24%
Paul Ritchie 10/10 6080 days 25%
Gerry Donoghue 10/10 6099 days 25%
Yvonne German 9/10 6102 days 24%
DebbieM 5/10 6116 days 17%
mj111 10/10 6116 days 25%
Susann Koschmeider 10/10 6151 days 25%
X Otte 10/10 6155 days 25%
Hans Hoff 10/10 6155 days 25%
Solveig Mosinski 10/10 6159 days 25%
Val and Barnie Weir 10/10 6170 days 25%
Wim Put 9/10 6173 days 24%
discerner 10/10 6177 days 25%
Phillip Reade 10/10 6177 days 25%
Tim Beuzeval 9/10 6177 days 24%
barp 9/10 6208 days 24%
Becky Fairweather 10/10 6361 days 25%
David 10/10 6391 days 25%
martinat 10/10 6391 days 25%
Mike 9/10 6400 days 24%
MichaelS1 9/10 6407 days 24%
StefanieGermany 9/10 6408 days 24%
Veronika 9/10 6410 days 24%
Ralph Boese 7/10 6411 days 22%
ToyalFrance 9/10 6411 days 24%
ReneeA 9/10 6439 days 24%
Lorna 8/10 6440 days 24%
Bruce 10/10 6441 days 25%
Sandra 10/10 6448 days 25%
Heidi 7/10 6455 days 22%
Philipp 9/10 6455 days 24%
Simon 9/10 6457 days 24%
Kathryn 8/10 6458 days 24%
Barbara 9/10 6463 days 24%
Joachim 10/10 6463 days 25%
Ans 7/10 6464 days 22%
Minder 10/10 6465 days 25%
Evi 7/10 6496 days 22%
Ann Maree 9/10 6499 days 24%
Trine 9/10 6509 days 24%
Carina Korn 10/10 6606 days 25%
Christian 7/10 6606 days 22%
Nick 10/10 6609 days 25%
Terri Scott 7/10 6626 days 22%
Alan Bellerby 10/10 6777 days 25%
Robert 4/10 6783 days 14%
Elise 10/10 6783 days 25%
Fung 8/10 6783 days 24%
Peter Aston 9/10 6783 days 24%
Tony Wicks 8/10 6788 days 24%
Sue 8/10 6795 days 24%
Carla 9/10 6803 days 24%
Melissa Steedman 9/10 6830 days 24%
Vanessa Brennan 7/10 6830 days 22%
Tim 9/10 6831 days 24%
Mary 10/10 6881 days 25%
Agnes 9/10 7097 days 24%
Cohen 9/10 7117 days 24%
John 8/10 7121 days 24%
SueLinsk 9/10 7121 days 24%
Frauke 7/10 7163 days 22%

Adjustments

Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.

Sample Size Adjustment

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 White Island Tours experience has plenty of reviews and does not meet the criteria for any adjustment.

Recent Reviews Adjustment

-3.25% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 68 days. However the White Island Tours 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 White Island Tours experience has been adjusted for 200 days. Adjustments are according to the following table.

Days Adjustment
… …
197 -3.20%
198 -3.22%
199 -3.23%
200 -3.25%
201 -3.27%
202 -3.28%
203 -3.30%
… …

Balancing Adjustment

1.58% 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.

Final Ranking Score

88%

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.