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.

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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

89.39%

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 2067 days 100%
Amanda Walden 10/10 2950 days 58%
Monique Pos 9/10 3040 days 53%
Alison Egan-Jones 9/10 3070 days 52%
Sylvain Schiber 9/10 3070 days 52%
Sylvain Chanton 10/10 3075 days 52%
Julian Gury 8/10 3083 days 51%
R. Damen 9/10 3101 days 50%
Michelle Smit 10/10 3162 days 48%
Gesa Roemer 8/10 3291 days 41%
Anais Roux 10/10 3296 days 42%
Luca Staudt 8/10 3315 days 40%
Florian Bisault 7/10 3316 days 37%
Anna Jungclaus 9/10 3323 days 40%
Signe Broedbaek 7/10 3325 days 37%
Petra Fragner 10/10 3331 days 40%
Koehler Ute 10/10 3344 days 39%
Niclas Ullno 8/10 3346 days 38%
Tamara 7/10 3347 days 36%
Chloe Guerillot 9/10 3357 days 38%
Luisa and Hannes 9/10 3370 days 38%
elena salimzhanova 10/10 3375 days 38%
Jakub Trojanek 8/10 3385 days 36%
Malina 10/10 3391 days 37%
Emma Keegan 7/10 3650 days 22%
Emilie Normand 7/10 3720 days 19%
Christopher Buch Madsen 8/10 4041 days 6%
Phil Bromby 9/10 4043 days 6%
Tobias Thull 7/10 4049 days 5%
Rita Hochstiasser 8/10 4071 days 5%
Nelle Dutilleur 10/10 4092 days 4%
Mathias Butterlin 8/10 4092 days 4%
Daryl 8/10 4100 days 3%
Bert Pubeg 9/10 4166 days 0%
Alex 8/10 4470 days 14%
Lucie 9/10 4506 days 14%
Henzen 9/10 4510 days 14%
Roy Barton 9/10 4773 days 14%
Brian Livesey 9/10 4781 days 14%
Merlyn 8/10 4789 days 14%
Beyeler 10/10 4793 days 14%
Ralf Glaser 7/10 4793 days 13%
Suzanne van Kol 8/10 4798 days 14%
kiwifrenchy 10/10 4805 days 14%
_mel_ 9/10 4836 days 14%
C 10/10 4836 days 14%
Sarah and Soren 10/10 4873 days 14%
Erik Folkersen 10/10 4881 days 14%
Rudlinger 10/10 4884 days 14%
GenH 10/10 5111 days 14%
R Tearle 10/10 5120 days 14%
Franzi & Tobi 10/10 5122 days 14%
Nathalie 10/10 5126 days 14%
Ven 9/10 5128 days 14%
Jerven and Kim 10/10 5135 days 14%
Sarah Luijckx 1/10 5137 days 0%
Alan Jeffery 7/10 5138 days 13%
Birgette Weiner 9/10 5156 days 14%
Tim Van Nispen 9/10 5158 days 14%
Bottcher 10/10 5158 days 14%
Sue & Graham Mullin 10/10 5165 days 14%
John Simpson 9/10 5167 days 14%
Karen Phillips 9/10 5167 days 14%
Michelle Booty 8/10 5169 days 14%
Nadia Husain 7/10 5170 days 13%
Dietmar Gans 10/10 5476 days 14%
Matt Roper 10/10 5498 days 14%
Chris Glasg 10/10 5515 days 14%
Jamie Hallifax 9/10 5526 days 14%
Paul Ritchie 10/10 5530 days 14%
Gerry Donoghue 10/10 5549 days 14%
Yvonne German 9/10 5552 days 14%
DebbieM 5/10 5566 days 9%
mj111 10/10 5566 days 14%
Susann Koschmeider 10/10 5601 days 14%
X Otte 10/10 5605 days 14%
Hans Hoff 10/10 5605 days 14%
Solveig Mosinski 10/10 5609 days 14%
Val and Barnie Weir 10/10 5620 days 14%
Wim Put 9/10 5623 days 14%
discerner 10/10 5627 days 14%
Phillip Reade 10/10 5627 days 14%
Tim Beuzeval 9/10 5627 days 14%
barp 9/10 5658 days 14%
Becky Fairweather 10/10 5811 days 14%
David 10/10 5841 days 14%
martinat 10/10 5841 days 14%
Mike 9/10 5851 days 14%
MichaelS1 9/10 5857 days 14%
StefanieGermany 9/10 5859 days 14%
Veronika 9/10 5860 days 14%
Ralph Boese 7/10 5861 days 13%
ToyalFrance 9/10 5861 days 14%
ReneeA 9/10 5889 days 14%
Lorna 8/10 5890 days 14%
Bruce 10/10 5892 days 14%
Sandra 10/10 5898 days 14%
Heidi 7/10 5905 days 13%
Philipp 9/10 5906 days 14%
Simon 9/10 5907 days 14%
Kathryn 8/10 5908 days 14%
Barbara 9/10 5913 days 14%
Joachim 10/10 5913 days 14%
Ans 7/10 5914 days 13%
Minder 10/10 5915 days 14%
Evi 7/10 5946 days 13%
Ann Maree 9/10 5949 days 14%
Trine 9/10 5959 days 14%
Carina Korn 10/10 6057 days 14%
Christian 7/10 6057 days 13%
Nick 10/10 6059 days 14%
Terri Scott 7/10 6077 days 13%
Alan Bellerby 10/10 6227 days 14%
Robert 4/10 6233 days 6%
Elise 10/10 6233 days 14%
Fung 8/10 6233 days 14%
Peter Aston 9/10 6233 days 14%
Tony Wicks 8/10 6238 days 14%
Sue 8/10 6245 days 14%
Carla 9/10 6253 days 14%
Melissa Steedman 9/10 6280 days 14%
Vanessa Brennan 7/10 6280 days 13%
Tim 9/10 6281 days 14%
Mary 10/10 6331 days 14%
Agnes 9/10 6547 days 14%
Cohen 9/10 6567 days 14%
John 8/10 6571 days 14%
SueLinsk 9/10 6571 days 14%
Frauke 7/10 6613 days 13%

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

-3.79% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 59 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 -3.73%
198 -3.75%
199 -3.77%
200 -3.79%
201 -3.81%
202 -3.83%
203 -3.85%

Balancing Adjustment

1.71% 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.