Ranking Score Explained

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.

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

89.33%

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 2009 days 100%
Amanda Walden 10/10 2892 days 59%
Monique Pos 9/10 2982 days 54%
Alison Egan-Jones 9/10 3012 days 53%
Sylvain Schiber 9/10 3013 days 53%
Sylvain Chanton 10/10 3018 days 53%
Julian Gury 8/10 3026 days 52%
R. Damen 9/10 3043 days 52%
Michelle Smit 10/10 3104 days 49%
Gesa Roemer 8/10 3234 days 42%
Anais Roux 10/10 3239 days 43%
Luca Staudt 8/10 3258 days 41%
Florian Bisault 7/10 3259 days 39%
Anna Jungclaus 9/10 3266 days 41%
Signe Broedbaek 7/10 3268 days 38%
Petra Fragner 10/10 3274 days 42%
Koehler Ute 10/10 3286 days 41%
Niclas Ullno 8/10 3289 days 40%
Tamara 7/10 3290 days 37%
Chloe Guerillot 9/10 3300 days 40%
Luisa and Hannes 9/10 3313 days 39%
elena salimzhanova 10/10 3317 days 40%
Jakub Trojanek 8/10 3328 days 38%
Malina 10/10 3334 days 39%
Emma Keegan 7/10 3592 days 24%
Emilie Normand 7/10 3663 days 21%
Christopher Buch Madsen 8/10 3984 days 8%
Phil Bromby 9/10 3986 days 8%
Tobias Thull 7/10 3992 days 7%
Rita Hochstiasser 8/10 4014 days 7%
Nelle Dutilleur 10/10 4035 days 6%
Mathias Butterlin 8/10 4035 days 6%
Daryl 8/10 4043 days 6%
Bert Pubeg 9/10 4109 days 3%
Alex 8/10 4413 days 14%
Lucie 9/10 4449 days 14%
Henzen 9/10 4453 days 14%
Roy Barton 9/10 4716 days 14%
Brian Livesey 9/10 4724 days 14%
Merlyn 8/10 4732 days 14%
Beyeler 10/10 4736 days 14%
Ralf Glaser 7/10 4736 days 12%
Suzanne van Kol 8/10 4741 days 14%
kiwifrenchy 10/10 4748 days 14%
_mel_ 9/10 4779 days 14%
C 10/10 4779 days 14%
Sarah and Soren 10/10 4816 days 14%
Erik Folkersen 10/10 4824 days 14%
Rudlinger 10/10 4827 days 14%
GenH 10/10 5054 days 14%
R Tearle 10/10 5063 days 14%
Franzi & Tobi 10/10 5065 days 14%
Nathalie 10/10 5069 days 14%
Ven 9/10 5071 days 14%
Jerven and Kim 10/10 5078 days 14%
Sarah Luijckx 1/10 5080 days 0%
Alan Jeffery 7/10 5081 days 12%
Birgette Weiner 9/10 5099 days 14%
Tim Van Nispen 9/10 5101 days 14%
Bottcher 10/10 5101 days 14%
Sue & Graham Mullin 10/10 5108 days 14%
John Simpson 9/10 5110 days 14%
Karen Phillips 9/10 5110 days 14%
Michelle Booty 8/10 5112 days 14%
Nadia Husain 7/10 5113 days 12%
Dietmar Gans 10/10 5419 days 14%
Matt Roper 10/10 5441 days 14%
Chris Glasg 10/10 5458 days 14%
Jamie Hallifax 9/10 5469 days 14%
Paul Ritchie 10/10 5473 days 14%
Gerry Donoghue 10/10 5492 days 14%
Yvonne German 9/10 5495 days 14%
DebbieM 5/10 5509 days 8%
mj111 10/10 5509 days 14%
Susann Koschmeider 10/10 5544 days 14%
X Otte 10/10 5548 days 14%
Hans Hoff 10/10 5548 days 14%
Solveig Mosinski 10/10 5552 days 14%
Val and Barnie Weir 10/10 5563 days 14%
Wim Put 9/10 5566 days 14%
discerner 10/10 5570 days 14%
Phillip Reade 10/10 5570 days 14%
Tim Beuzeval 9/10 5570 days 14%
barp 9/10 5601 days 14%
Becky Fairweather 10/10 5754 days 14%
David 10/10 5784 days 14%
martinat 10/10 5784 days 14%
Mike 9/10 5793 days 14%
MichaelS1 9/10 5800 days 14%
StefanieGermany 9/10 5801 days 14%
Veronika 9/10 5803 days 14%
Ralph Boese 7/10 5804 days 12%
ToyalFrance 9/10 5804 days 14%
ReneeA 9/10 5832 days 14%
Lorna 8/10 5833 days 14%
Bruce 10/10 5834 days 14%
Sandra 10/10 5841 days 14%
Heidi 7/10 5848 days 12%
Philipp 9/10 5848 days 14%
Simon 9/10 5850 days 14%
Kathryn 8/10 5851 days 14%
Barbara 9/10 5856 days 14%
Joachim 10/10 5856 days 14%
Ans 7/10 5857 days 12%
Minder 10/10 5858 days 14%
Evi 7/10 5889 days 12%
Ann Maree 9/10 5892 days 14%
Trine 9/10 5902 days 14%
Carina Korn 10/10 6000 days 14%
Christian 7/10 6000 days 12%
Nick 10/10 6002 days 14%
Terri Scott 7/10 6019 days 12%
Alan Bellerby 10/10 6170 days 14%
Robert 4/10 6176 days 6%
Elise 10/10 6176 days 14%
Fung 8/10 6176 days 14%
Peter Aston 9/10 6176 days 14%
Tony Wicks 8/10 6181 days 14%
Sue 8/10 6188 days 14%
Carla 9/10 6196 days 14%
Melissa Steedman 9/10 6223 days 14%
Vanessa Brennan 7/10 6223 days 12%
Tim 9/10 6224 days 14%
Mary 10/10 6274 days 14%
Agnes 9/10 6490 days 14%
Cohen 9/10 6510 days 14%
John 8/10 6514 days 14%
SueLinsk 9/10 6514 days 14%
Frauke 7/10 6556 days 12%

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

-4.14% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 49 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 -4.08%
198 -4.10%
199 -4.12%
200 -4.14%
201 -4.16%
202 -4.18%
203 -4.20%

Balancing Adjustment

1.79% 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.