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

89.54%

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 2580 days 100%
Amanda Walden 10/10 3463 days 47%
Monique Pos 9/10 3553 days 41%
Alison Egan-Jones 9/10 3583 days 39%
Sylvain Schiber 9/10 3583 days 39%
Sylvain Chanton 10/10 3588 days 39%
Julian Gury 8/10 3596 days 38%
R. Damen 9/10 3614 days 37%
Michelle Smit 10/10 3675 days 34%
Gesa Roemer 8/10 3804 days 26%
Anais Roux 10/10 3809 days 26%
Luca Staudt 8/10 3828 days 24%
Florian Bisault 7/10 3829 days 23%
Anna Jungclaus 9/10 3836 days 24%
Signe Broedbaek 7/10 3838 days 22%
Petra Fragner 10/10 3844 days 24%
Koehler Ute 10/10 3857 days 23%
Niclas Ullno 8/10 3859 days 22%
Tamara 7/10 3860 days 21%
Chloe Guerillot 9/10 3870 days 22%
Luisa and Hannes 9/10 3883 days 21%
elena salimzhanova 10/10 3888 days 21%
Jakub Trojanek 8/10 3898 days 20%
Malina 10/10 3904 days 20%
Emma Keegan 7/10 4163 days 4%
Emilie Normand 7/10 4233 days 0%
Christopher Buch Madsen 8/10 4554 days 22%
Phil Bromby 9/10 4556 days 22%
Tobias Thull 7/10 4562 days 20%
Rita Hochstiasser 8/10 4584 days 22%
Nelle Dutilleur 10/10 4605 days 22%
Mathias Butterlin 8/10 4605 days 22%
Daryl 8/10 4613 days 22%
Bert Pubeg 9/10 4679 days 22%
Alex 8/10 4983 days 22%
Lucie 9/10 5019 days 22%
Henzen 9/10 5023 days 22%
Roy Barton 9/10 5286 days 22%
Brian Livesey 9/10 5294 days 22%
Merlyn 8/10 5302 days 22%
Beyeler 10/10 5306 days 22%
Ralf Glaser 7/10 5306 days 20%
Suzanne van Kol 8/10 5311 days 22%
kiwifrenchy 10/10 5318 days 22%
_mel_ 9/10 5349 days 22%
C 10/10 5349 days 22%
Sarah and Soren 10/10 5386 days 22%
Erik Folkersen 10/10 5394 days 22%
Rudlinger 10/10 5397 days 22%
GenH 10/10 5624 days 22%
R Tearle 10/10 5633 days 22%
Franzi & Tobi 10/10 5635 days 22%
Nathalie 10/10 5639 days 22%
Ven 9/10 5641 days 22%
Jerven and Kim 10/10 5648 days 22%
Sarah Luijckx 1/10 5650 days 4%
Alan Jeffery 7/10 5651 days 20%
Birgette Weiner 9/10 5669 days 22%
Tim Van Nispen 9/10 5671 days 22%
Bottcher 10/10 5671 days 22%
Sue & Graham Mullin 10/10 5678 days 22%
John Simpson 9/10 5680 days 22%
Karen Phillips 9/10 5680 days 22%
Michelle Booty 8/10 5682 days 22%
Nadia Husain 7/10 5683 days 20%
Dietmar Gans 10/10 5989 days 22%
Matt Roper 10/10 6011 days 22%
Chris Glasg 10/10 6028 days 22%
Jamie Hallifax 9/10 6039 days 22%
Paul Ritchie 10/10 6043 days 22%
Gerry Donoghue 10/10 6062 days 22%
Yvonne German 9/10 6065 days 22%
DebbieM 5/10 6079 days 15%
mj111 10/10 6079 days 22%
Susann Koschmeider 10/10 6114 days 22%
X Otte 10/10 6118 days 22%
Hans Hoff 10/10 6118 days 22%
Solveig Mosinski 10/10 6122 days 22%
Val and Barnie Weir 10/10 6133 days 22%
Wim Put 9/10 6136 days 22%
discerner 10/10 6140 days 22%
Phillip Reade 10/10 6140 days 22%
Tim Beuzeval 9/10 6140 days 22%
barp 9/10 6171 days 22%
Becky Fairweather 10/10 6324 days 22%
David 10/10 6354 days 22%
martinat 10/10 6354 days 22%
Mike 9/10 6364 days 22%
MichaelS1 9/10 6370 days 22%
StefanieGermany 9/10 6372 days 22%
Veronika 9/10 6373 days 22%
Ralph Boese 7/10 6374 days 20%
ToyalFrance 9/10 6374 days 22%
ReneeA 9/10 6402 days 22%
Lorna 8/10 6403 days 22%
Bruce 10/10 6405 days 22%
Sandra 10/10 6411 days 22%
Heidi 7/10 6419 days 20%
Philipp 9/10 6419 days 22%
Simon 9/10 6420 days 22%
Kathryn 8/10 6421 days 22%
Barbara 9/10 6426 days 22%
Joachim 10/10 6426 days 22%
Ans 7/10 6427 days 20%
Minder 10/10 6428 days 22%
Evi 7/10 6459 days 20%
Ann Maree 9/10 6462 days 22%
Trine 9/10 6472 days 22%
Carina Korn 10/10 6570 days 22%
Christian 7/10 6570 days 20%
Nick 10/10 6573 days 22%
Terri Scott 7/10 6590 days 20%
Alan Bellerby 10/10 6740 days 22%
Robert 4/10 6746 days 12%
Elise 10/10 6746 days 22%
Fung 8/10 6746 days 22%
Peter Aston 9/10 6746 days 22%
Tony Wicks 8/10 6751 days 22%
Sue 8/10 6758 days 22%
Carla 9/10 6766 days 22%
Melissa Steedman 9/10 6793 days 22%
Vanessa Brennan 7/10 6793 days 20%
Tim 9/10 6794 days 22%
Mary 10/10 6844 days 22%
Agnes 9/10 7060 days 22%
Cohen 9/10 7080 days 22%
John 8/10 7084 days 22%
SueLinsk 9/10 7084 days 22%
Frauke 7/10 7126 days 20%

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 105 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 -2.47%
202 -2.48%
203 -2.49%

Balancing Adjustment

1.44% 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.