G'day, 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

89.49%

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 2496 days 100%
Amanda Walden 10/10 3379 days 47%
Monique Pos 9/10 3469 days 41%
Alison Egan-Jones 9/10 3499 days 40%
Sylvain Schiber 9/10 3499 days 40%
Sylvain Chanton 10/10 3504 days 40%
Julian Gury 8/10 3512 days 38%
R. Damen 9/10 3530 days 38%
Michelle Smit 10/10 3591 days 35%
Gesa Roemer 8/10 3720 days 26%
Anais Roux 10/10 3725 days 27%
Luca Staudt 8/10 3744 days 25%
Florian Bisault 7/10 3745 days 23%
Anna Jungclaus 9/10 3752 days 25%
Signe Broedbaek 7/10 3754 days 22%
Petra Fragner 10/10 3760 days 25%
Koehler Ute 10/10 3773 days 24%
Niclas Ullno 8/10 3775 days 23%
Tamara 7/10 3776 days 21%
Chloe Guerillot 9/10 3786 days 23%
Luisa and Hannes 9/10 3799 days 22%
elena salimzhanova 10/10 3804 days 22%
Jakub Trojanek 8/10 3814 days 21%
Malina 10/10 3820 days 21%
Emma Keegan 7/10 4079 days 4%
Emilie Normand 7/10 4149 days 0%
Christopher Buch Madsen 8/10 4470 days 18%
Phil Bromby 9/10 4472 days 18%
Tobias Thull 7/10 4478 days 16%
Rita Hochstiasser 8/10 4500 days 18%
Nelle Dutilleur 10/10 4521 days 18%
Mathias Butterlin 8/10 4521 days 18%
Daryl 8/10 4529 days 18%
Bert Pubeg 9/10 4595 days 18%
Alex 8/10 4899 days 18%
Lucie 9/10 4935 days 18%
Henzen 9/10 4939 days 18%
Roy Barton 9/10 5202 days 18%
Brian Livesey 9/10 5210 days 18%
Merlyn 8/10 5218 days 18%
Beyeler 10/10 5222 days 18%
Ralf Glaser 7/10 5222 days 16%
Suzanne van Kol 8/10 5227 days 18%
kiwifrenchy 10/10 5234 days 18%
_mel_ 9/10 5265 days 18%
C 10/10 5265 days 18%
Sarah and Soren 10/10 5302 days 18%
Erik Folkersen 10/10 5310 days 18%
Rudlinger 10/10 5313 days 18%
GenH 10/10 5540 days 18%
R Tearle 10/10 5549 days 18%
Franzi & Tobi 10/10 5551 days 18%
Nathalie 10/10 5555 days 18%
Ven 9/10 5557 days 18%
Jerven and Kim 10/10 5564 days 18%
Sarah Luijckx 1/10 5566 days 0%
Alan Jeffery 7/10 5567 days 16%
Birgette Weiner 9/10 5585 days 18%
Tim Van Nispen 9/10 5587 days 18%
Bottcher 10/10 5587 days 18%
Sue & Graham Mullin 10/10 5594 days 18%
John Simpson 9/10 5596 days 18%
Karen Phillips 9/10 5596 days 18%
Michelle Booty 8/10 5598 days 18%
Nadia Husain 7/10 5599 days 16%
Dietmar Gans 10/10 5905 days 18%
Matt Roper 10/10 5927 days 18%
Chris Glasg 10/10 5944 days 18%
Jamie Hallifax 9/10 5955 days 18%
Paul Ritchie 10/10 5959 days 18%
Gerry Donoghue 10/10 5978 days 18%
Yvonne German 9/10 5981 days 18%
DebbieM 5/10 5995 days 11%
mj111 10/10 5995 days 18%
Susann Koschmeider 10/10 6030 days 18%
X Otte 10/10 6034 days 18%
Hans Hoff 10/10 6034 days 18%
Solveig Mosinski 10/10 6038 days 18%
Val and Barnie Weir 10/10 6049 days 18%
Wim Put 9/10 6052 days 18%
discerner 10/10 6056 days 18%
Phillip Reade 10/10 6056 days 18%
Tim Beuzeval 9/10 6056 days 18%
barp 9/10 6087 days 18%
Becky Fairweather 10/10 6240 days 18%
David 10/10 6270 days 18%
martinat 10/10 6270 days 18%
Mike 9/10 6280 days 18%
MichaelS1 9/10 6286 days 18%
StefanieGermany 9/10 6288 days 18%
Veronika 9/10 6289 days 18%
Ralph Boese 7/10 6290 days 16%
ToyalFrance 9/10 6290 days 18%
ReneeA 9/10 6318 days 18%
Lorna 8/10 6320 days 18%
Bruce 10/10 6321 days 18%
Sandra 10/10 6327 days 18%
Heidi 7/10 6335 days 16%
Philipp 9/10 6335 days 18%
Simon 9/10 6336 days 18%
Kathryn 8/10 6337 days 18%
Barbara 9/10 6342 days 18%
Joachim 10/10 6342 days 18%
Ans 7/10 6343 days 16%
Minder 10/10 6344 days 18%
Evi 7/10 6376 days 16%
Ann Maree 9/10 6378 days 18%
Trine 9/10 6389 days 18%
Carina Korn 10/10 6486 days 18%
Christian 7/10 6486 days 16%
Nick 10/10 6489 days 18%
Terri Scott 7/10 6506 days 16%
Alan Bellerby 10/10 6656 days 18%
Robert 4/10 6662 days 8%
Elise 10/10 6662 days 18%
Fung 8/10 6662 days 18%
Peter Aston 9/10 6662 days 18%
Tony Wicks 8/10 6667 days 18%
Sue 8/10 6674 days 18%
Carla 9/10 6682 days 18%
Melissa Steedman 9/10 6709 days 18%
Vanessa Brennan 7/10 6709 days 16%
Tim 9/10 6710 days 18%
Mary 10/10 6760 days 18%
Agnes 9/10 6976 days 18%
Cohen 9/10 6996 days 18%
John 8/10 7000 days 18%
SueLinsk 9/10 7000 days 18%
Frauke 7/10 7042 days 16%

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

-2.45% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 106 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 -2.42%
198 -2.43%
199 -2.44%
200 -2.45%
201 -2.46%
202 -2.48%
203 -2.49%

Balancing Adjustment

1.45% 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.