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 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

89.59%

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 2658 days 100%
Amanda Walden 10/10 3541 days 47%
Monique Pos 9/10 3631 days 41%
Alison Egan-Jones 9/10 3661 days 39%
Sylvain Schiber 9/10 3661 days 39%
Sylvain Chanton 10/10 3666 days 39%
Julian Gury 8/10 3674 days 38%
R. Damen 9/10 3692 days 37%
Michelle Smit 10/10 3753 days 34%
Gesa Roemer 8/10 3882 days 26%
Anais Roux 10/10 3887 days 26%
Luca Staudt 8/10 3906 days 24%
Florian Bisault 7/10 3907 days 23%
Anna Jungclaus 9/10 3914 days 24%
Signe Broedbaek 7/10 3916 days 22%
Petra Fragner 10/10 3922 days 24%
Koehler Ute 10/10 3935 days 23%
Niclas Ullno 8/10 3937 days 22%
Tamara 7/10 3938 days 21%
Chloe Guerillot 9/10 3948 days 22%
Luisa and Hannes 9/10 3961 days 21%
elena salimzhanova 10/10 3966 days 21%
Jakub Trojanek 8/10 3976 days 20%
Malina 10/10 3982 days 20%
Emma Keegan 7/10 4241 days 4%
Emilie Normand 7/10 4311 days 0%
Christopher Buch Madsen 8/10 4632 days 26%
Phil Bromby 9/10 4634 days 27%
Tobias Thull 7/10 4640 days 25%
Rita Hochstiasser 8/10 4662 days 26%
Nelle Dutilleur 10/10 4683 days 27%
Mathias Butterlin 8/10 4683 days 26%
Daryl 8/10 4691 days 26%
Bert Pubeg 9/10 4757 days 27%
Alex 8/10 5061 days 26%
Lucie 9/10 5097 days 27%
Henzen 9/10 5101 days 27%
Roy Barton 9/10 5364 days 27%
Brian Livesey 9/10 5372 days 27%
Merlyn 8/10 5380 days 26%
Beyeler 10/10 5384 days 27%
Ralf Glaser 7/10 5384 days 25%
Suzanne van Kol 8/10 5389 days 26%
kiwifrenchy 10/10 5396 days 27%
_mel_ 9/10 5427 days 27%
C 10/10 5427 days 27%
Sarah and Soren 10/10 5464 days 27%
Erik Folkersen 10/10 5472 days 27%
Rudlinger 10/10 5475 days 27%
GenH 10/10 5702 days 27%
R Tearle 10/10 5711 days 27%
Franzi & Tobi 10/10 5713 days 27%
Nathalie 10/10 5717 days 27%
Ven 9/10 5719 days 27%
Jerven and Kim 10/10 5726 days 27%
Sarah Luijckx 1/10 5728 days 9%
Alan Jeffery 7/10 5729 days 25%
Birgette Weiner 9/10 5747 days 27%
Tim Van Nispen 9/10 5749 days 27%
Bottcher 10/10 5749 days 27%
Sue & Graham Mullin 10/10 5756 days 27%
John Simpson 9/10 5758 days 27%
Karen Phillips 9/10 5758 days 27%
Michelle Booty 8/10 5760 days 26%
Nadia Husain 7/10 5761 days 25%
Dietmar Gans 10/10 6067 days 27%
Matt Roper 10/10 6089 days 27%
Chris Glasg 10/10 6106 days 27%
Jamie Hallifax 9/10 6117 days 27%
Paul Ritchie 10/10 6121 days 27%
Gerry Donoghue 10/10 6140 days 27%
Yvonne German 9/10 6143 days 27%
DebbieM 5/10 6157 days 20%
mj111 10/10 6157 days 27%
Susann Koschmeider 10/10 6192 days 27%
X Otte 10/10 6196 days 27%
Hans Hoff 10/10 6196 days 27%
Solveig Mosinski 10/10 6200 days 27%
Val and Barnie Weir 10/10 6211 days 27%
Wim Put 9/10 6214 days 27%
discerner 10/10 6218 days 27%
Phillip Reade 10/10 6218 days 27%
Tim Beuzeval 9/10 6218 days 27%
barp 9/10 6249 days 27%
Becky Fairweather 10/10 6402 days 27%
David 10/10 6432 days 27%
martinat 10/10 6432 days 27%
Mike 9/10 6442 days 27%
MichaelS1 9/10 6448 days 27%
StefanieGermany 9/10 6450 days 27%
Veronika 9/10 6452 days 27%
Ralph Boese 7/10 6452 days 25%
ToyalFrance 9/10 6452 days 27%
ReneeA 9/10 6480 days 27%
Lorna 8/10 6482 days 26%
Bruce 10/10 6483 days 27%
Sandra 10/10 6489 days 27%
Heidi 7/10 6497 days 25%
Philipp 9/10 6497 days 27%
Simon 9/10 6498 days 27%
Kathryn 8/10 6499 days 26%
Barbara 9/10 6504 days 27%
Joachim 10/10 6505 days 27%
Ans 7/10 6505 days 25%
Minder 10/10 6507 days 27%
Evi 7/10 6538 days 25%
Ann Maree 9/10 6541 days 27%
Trine 9/10 6551 days 27%
Carina Korn 10/10 6648 days 27%
Christian 7/10 6648 days 25%
Nick 10/10 6651 days 27%
Terri Scott 7/10 6668 days 25%
Alan Bellerby 10/10 6818 days 27%
Robert 4/10 6824 days 16%
Elise 10/10 6824 days 27%
Fung 8/10 6824 days 26%
Peter Aston 9/10 6824 days 27%
Tony Wicks 8/10 6829 days 26%
Sue 8/10 6836 days 26%
Carla 9/10 6844 days 27%
Melissa Steedman 9/10 6871 days 27%
Vanessa Brennan 7/10 6871 days 25%
Tim 9/10 6872 days 27%
Mary 10/10 6922 days 27%
Agnes 9/10 7138 days 27%
Cohen 9/10 7158 days 27%
John 8/10 7162 days 26%
SueLinsk 9/10 7162 days 27%
Frauke 7/10 7204 days 25%

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

-3.96% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 46 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 -3.90%
198 -3.92%
199 -3.94%
200 -3.96%
201 -3.98%
202 -4.00%
203 -4.02%
… …

Balancing Adjustment

1.70% 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

87%

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.