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

89.50%

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 2515 days 100%
Amanda Walden 10/10 3398 days 47%
Monique Pos 9/10 3488 days 41%
Alison Egan-Jones 9/10 3518 days 39%
Sylvain Schiber 9/10 3519 days 39%
Sylvain Chanton 10/10 3524 days 40%
Julian Gury 8/10 3532 days 38%
R. Damen 9/10 3549 days 38%
Michelle Smit 10/10 3610 days 34%
Gesa Roemer 8/10 3740 days 26%
Anais Roux 10/10 3745 days 26%
Luca Staudt 8/10 3764 days 24%
Florian Bisault 7/10 3765 days 23%
Anna Jungclaus 9/10 3772 days 24%
Signe Broedbaek 7/10 3774 days 22%
Petra Fragner 10/10 3780 days 24%
Koehler Ute 10/10 3792 days 23%
Niclas Ullno 8/10 3795 days 23%
Tamara 7/10 3796 days 21%
Chloe Guerillot 9/10 3806 days 22%
Luisa and Hannes 9/10 3819 days 22%
elena salimzhanova 10/10 3823 days 22%
Jakub Trojanek 8/10 3834 days 20%
Malina 10/10 3840 days 21%
Emma Keegan 7/10 4098 days 4%
Emilie Normand 7/10 4169 days 0%
Christopher Buch Madsen 8/10 4490 days 18%
Phil Bromby 9/10 4492 days 19%
Tobias Thull 7/10 4498 days 17%
Rita Hochstiasser 8/10 4520 days 18%
Nelle Dutilleur 10/10 4541 days 19%
Mathias Butterlin 8/10 4541 days 18%
Daryl 8/10 4549 days 18%
Bert Pubeg 9/10 4615 days 19%
Alex 8/10 4919 days 18%
Lucie 9/10 4955 days 19%
Henzen 9/10 4959 days 19%
Roy Barton 9/10 5222 days 19%
Brian Livesey 9/10 5230 days 19%
Merlyn 8/10 5238 days 18%
Beyeler 10/10 5242 days 19%
Ralf Glaser 7/10 5242 days 17%
Suzanne van Kol 8/10 5247 days 18%
kiwifrenchy 10/10 5254 days 19%
_mel_ 9/10 5285 days 19%
C 10/10 5285 days 19%
Sarah and Soren 10/10 5322 days 19%
Erik Folkersen 10/10 5330 days 19%
Rudlinger 10/10 5333 days 19%
GenH 10/10 5560 days 19%
R Tearle 10/10 5569 days 19%
Franzi & Tobi 10/10 5571 days 19%
Nathalie 10/10 5575 days 19%
Ven 9/10 5577 days 19%
Jerven and Kim 10/10 5584 days 19%
Sarah Luijckx 1/10 5586 days 1%
Alan Jeffery 7/10 5587 days 17%
Birgette Weiner 9/10 5605 days 19%
Tim Van Nispen 9/10 5607 days 19%
Bottcher 10/10 5607 days 19%
Sue & Graham Mullin 10/10 5614 days 19%
John Simpson 9/10 5616 days 19%
Karen Phillips 9/10 5616 days 19%
Michelle Booty 8/10 5618 days 18%
Nadia Husain 7/10 5619 days 17%
Dietmar Gans 10/10 5925 days 19%
Matt Roper 10/10 5947 days 19%
Chris Glasg 10/10 5964 days 19%
Jamie Hallifax 9/10 5975 days 19%
Paul Ritchie 10/10 5979 days 19%
Gerry Donoghue 10/10 5998 days 19%
Yvonne German 9/10 6001 days 19%
DebbieM 5/10 6015 days 12%
mj111 10/10 6015 days 19%
Susann Koschmeider 10/10 6050 days 19%
X Otte 10/10 6054 days 19%
Hans Hoff 10/10 6054 days 19%
Solveig Mosinski 10/10 6058 days 19%
Val and Barnie Weir 10/10 6069 days 19%
Wim Put 9/10 6072 days 19%
discerner 10/10 6076 days 19%
Phillip Reade 10/10 6076 days 19%
Tim Beuzeval 9/10 6076 days 19%
barp 9/10 6107 days 19%
Becky Fairweather 10/10 6260 days 19%
David 10/10 6290 days 19%
martinat 10/10 6290 days 19%
Mike 9/10 6299 days 19%
MichaelS1 9/10 6306 days 19%
StefanieGermany 9/10 6307 days 19%
Veronika 9/10 6309 days 19%
Ralph Boese 7/10 6310 days 17%
ToyalFrance 9/10 6310 days 19%
ReneeA 9/10 6338 days 19%
Lorna 8/10 6339 days 18%
Bruce 10/10 6340 days 19%
Sandra 10/10 6347 days 19%
Heidi 7/10 6354 days 17%
Philipp 9/10 6354 days 19%
Simon 9/10 6356 days 19%
Kathryn 8/10 6357 days 18%
Barbara 9/10 6362 days 19%
Joachim 10/10 6362 days 19%
Ans 7/10 6363 days 17%
Minder 10/10 6364 days 19%
Evi 7/10 6395 days 17%
Ann Maree 9/10 6398 days 19%
Trine 9/10 6408 days 19%
Carina Korn 10/10 6505 days 19%
Christian 7/10 6505 days 17%
Nick 10/10 6508 days 19%
Terri Scott 7/10 6525 days 17%
Alan Bellerby 10/10 6676 days 19%
Robert 4/10 6682 days 8%
Elise 10/10 6682 days 19%
Fung 8/10 6682 days 18%
Peter Aston 9/10 6682 days 19%
Tony Wicks 8/10 6687 days 18%
Sue 8/10 6694 days 18%
Carla 9/10 6702 days 19%
Melissa Steedman 9/10 6729 days 19%
Vanessa Brennan 7/10 6729 days 17%
Tim 9/10 6730 days 19%
Mary 10/10 6780 days 19%
Agnes 9/10 6996 days 19%
Cohen 9/10 7016 days 19%
John 8/10 7020 days 18%
SueLinsk 9/10 7020 days 19%
Frauke 7/10 7062 days 17%

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

-2.14% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 119 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 -2.11%
198 -2.12%
199 -2.13%
200 -2.14%
201 -2.15%
202 -2.16%
203 -2.17%

Balancing Adjustment

1.40% 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

89%

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.