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.

CC
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 2074 days 100%
Amanda Walden 10/10 2957 days 58%
Monique Pos 9/10 3047 days 53%
Alison Egan-Jones 9/10 3077 days 52%
Sylvain Schiber 9/10 3077 days 52%
Sylvain Chanton 10/10 3082 days 52%
Julian Gury 8/10 3090 days 50%
R. Damen 9/10 3108 days 50%
Michelle Smit 10/10 3169 days 48%
Gesa Roemer 8/10 3298 days 41%
Anais Roux 10/10 3303 days 42%
Luca Staudt 8/10 3322 days 40%
Florian Bisault 7/10 3323 days 37%
Anna Jungclaus 9/10 3330 days 40%
Signe Broedbaek 7/10 3332 days 37%
Petra Fragner 10/10 3338 days 40%
Koehler Ute 10/10 3351 days 39%
Niclas Ullno 8/10 3353 days 38%
Tamara 7/10 3354 days 36%
Chloe Guerillot 9/10 3364 days 38%
Luisa and Hannes 9/10 3377 days 38%
elena salimzhanova 10/10 3382 days 38%
Jakub Trojanek 8/10 3392 days 36%
Malina 10/10 3398 days 37%
Emma Keegan 7/10 3657 days 22%
Emilie Normand 7/10 3727 days 19%
Christopher Buch Madsen 8/10 4048 days 6%
Phil Bromby 9/10 4050 days 6%
Tobias Thull 7/10 4056 days 5%
Rita Hochstiasser 8/10 4078 days 4%
Nelle Dutilleur 10/10 4099 days 4%
Mathias Butterlin 8/10 4099 days 3%
Daryl 8/10 4107 days 3%
Bert Pubeg 9/10 4173 days 0%
Alex 8/10 4477 days 14%
Lucie 9/10 4513 days 14%
Henzen 9/10 4517 days 14%
Roy Barton 9/10 4780 days 14%
Brian Livesey 9/10 4788 days 14%
Merlyn 8/10 4796 days 14%
Beyeler 10/10 4800 days 15%
Ralf Glaser 7/10 4800 days 13%
Suzanne van Kol 8/10 4805 days 14%
kiwifrenchy 10/10 4812 days 15%
_mel_ 9/10 4843 days 14%
C 10/10 4843 days 15%
Sarah and Soren 10/10 4880 days 15%
Erik Folkersen 10/10 4888 days 15%
Rudlinger 10/10 4891 days 15%
GenH 10/10 5118 days 15%
R Tearle 10/10 5127 days 15%
Franzi & Tobi 10/10 5129 days 15%
Nathalie 10/10 5133 days 15%
Ven 9/10 5135 days 14%
Jerven and Kim 10/10 5142 days 15%
Sarah Luijckx 1/10 5144 days 0%
Alan Jeffery 7/10 5145 days 13%
Birgette Weiner 9/10 5163 days 14%
Tim Van Nispen 9/10 5165 days 14%
Bottcher 10/10 5165 days 15%
Sue & Graham Mullin 10/10 5172 days 15%
John Simpson 9/10 5174 days 14%
Karen Phillips 9/10 5174 days 14%
Michelle Booty 8/10 5176 days 14%
Nadia Husain 7/10 5177 days 13%
Dietmar Gans 10/10 5483 days 15%
Matt Roper 10/10 5505 days 15%
Chris Glasg 10/10 5522 days 15%
Jamie Hallifax 9/10 5533 days 14%
Paul Ritchie 10/10 5537 days 15%
Gerry Donoghue 10/10 5556 days 15%
Yvonne German 9/10 5559 days 14%
DebbieM 5/10 5573 days 9%
mj111 10/10 5573 days 15%
Susann Koschmeider 10/10 5608 days 15%
X Otte 10/10 5612 days 15%
Hans Hoff 10/10 5612 days 15%
Solveig Mosinski 10/10 5616 days 15%
Val and Barnie Weir 10/10 5627 days 15%
Wim Put 9/10 5630 days 14%
discerner 10/10 5634 days 15%
Phillip Reade 10/10 5634 days 15%
Tim Beuzeval 9/10 5634 days 14%
barp 9/10 5665 days 14%
Becky Fairweather 10/10 5818 days 15%
David 10/10 5848 days 15%
martinat 10/10 5848 days 15%
Mike 9/10 5858 days 14%
MichaelS1 9/10 5864 days 14%
StefanieGermany 9/10 5866 days 14%
Veronika 9/10 5867 days 14%
Ralph Boese 7/10 5868 days 13%
ToyalFrance 9/10 5868 days 14%
ReneeA 9/10 5896 days 14%
Lorna 8/10 5897 days 14%
Bruce 10/10 5899 days 15%
Sandra 10/10 5905 days 15%
Heidi 7/10 5913 days 13%
Philipp 9/10 5913 days 14%
Simon 9/10 5914 days 14%
Kathryn 8/10 5915 days 14%
Barbara 9/10 5920 days 14%
Joachim 10/10 5920 days 15%
Ans 7/10 5921 days 13%
Minder 10/10 5922 days 15%
Evi 7/10 5953 days 13%
Ann Maree 9/10 5956 days 14%
Trine 9/10 5966 days 14%
Carina Korn 10/10 6064 days 15%
Christian 7/10 6064 days 13%
Nick 10/10 6066 days 15%
Terri Scott 7/10 6084 days 13%
Alan Bellerby 10/10 6234 days 15%
Robert 4/10 6240 days 6%
Elise 10/10 6240 days 15%
Fung 8/10 6240 days 14%
Peter Aston 9/10 6240 days 14%
Tony Wicks 8/10 6245 days 14%
Sue 8/10 6252 days 14%
Carla 9/10 6260 days 14%
Melissa Steedman 9/10 6287 days 14%
Vanessa Brennan 7/10 6287 days 13%
Tim 9/10 6288 days 14%
Mary 10/10 6338 days 15%
Agnes 9/10 6554 days 14%
Cohen 9/10 6574 days 14%
John 8/10 6578 days 14%
SueLinsk 9/10 6578 days 14%
Frauke 7/10 6620 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

-3.66% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 61 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 -3.61%
198 -3.63%
199 -3.65%
200 -3.66%
201 -3.68%
202 -3.70%
203 -3.72%

Balancing Adjustment

1.68% 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.