Ranking Score Explained

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

89.47%

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 2149 days 100%
Amanda Walden 10/10 3032 days 58%
Monique Pos 9/10 3122 days 53%
Alison Egan-Jones 9/10 3152 days 52%
Sylvain Schiber 9/10 3152 days 52%
Sylvain Chanton 10/10 3157 days 52%
Julian Gury 8/10 3165 days 50%
R. Damen 9/10 3183 days 50%
Michelle Smit 10/10 3244 days 48%
Gesa Roemer 8/10 3373 days 41%
Anais Roux 10/10 3378 days 41%
Luca Staudt 8/10 3397 days 40%
Florian Bisault 7/10 3398 days 37%
Anna Jungclaus 9/10 3405 days 40%
Signe Broedbaek 7/10 3407 days 37%
Petra Fragner 10/10 3413 days 40%
Koehler Ute 10/10 3426 days 39%
Niclas Ullno 8/10 3428 days 38%
Tamara 7/10 3429 days 36%
Chloe Guerillot 9/10 3439 days 38%
Luisa and Hannes 9/10 3452 days 38%
elena salimzhanova 10/10 3457 days 38%
Jakub Trojanek 8/10 3467 days 36%
Malina 10/10 3473 days 37%
Emma Keegan 7/10 3732 days 22%
Emilie Normand 7/10 3802 days 19%
Christopher Buch Madsen 8/10 4123 days 6%
Phil Bromby 9/10 4125 days 6%
Tobias Thull 7/10 4131 days 5%
Rita Hochstiasser 8/10 4153 days 4%
Nelle Dutilleur 10/10 4174 days 4%
Mathias Butterlin 8/10 4174 days 3%
Daryl 8/10 4182 days 3%
Bert Pubeg 9/10 4248 days 0%
Alex 8/10 4552 days 18%
Lucie 9/10 4588 days 18%
Henzen 9/10 4592 days 18%
Roy Barton 9/10 4855 days 18%
Brian Livesey 9/10 4863 days 18%
Merlyn 8/10 4871 days 18%
Beyeler 10/10 4875 days 18%
Ralf Glaser 7/10 4875 days 16%
Suzanne van Kol 8/10 4880 days 18%
kiwifrenchy 10/10 4887 days 18%
_mel_ 9/10 4918 days 18%
C 10/10 4918 days 18%
Sarah and Soren 10/10 4955 days 18%
Erik Folkersen 10/10 4963 days 18%
Rudlinger 10/10 4966 days 18%
GenH 10/10 5193 days 18%
R Tearle 10/10 5202 days 18%
Franzi & Tobi 10/10 5204 days 18%
Nathalie 10/10 5208 days 18%
Ven 9/10 5210 days 18%
Jerven and Kim 10/10 5217 days 18%
Sarah Luijckx 1/10 5219 days 4%
Alan Jeffery 7/10 5220 days 16%
Birgette Weiner 9/10 5238 days 18%
Tim Van Nispen 9/10 5240 days 18%
Bottcher 10/10 5240 days 18%
Sue & Graham Mullin 10/10 5247 days 18%
John Simpson 9/10 5249 days 18%
Karen Phillips 9/10 5249 days 18%
Michelle Booty 8/10 5251 days 18%
Nadia Husain 7/10 5252 days 16%
Dietmar Gans 10/10 5558 days 18%
Matt Roper 10/10 5580 days 18%
Chris Glasg 10/10 5597 days 18%
Jamie Hallifax 9/10 5608 days 18%
Paul Ritchie 10/10 5612 days 18%
Gerry Donoghue 10/10 5631 days 18%
Yvonne German 9/10 5634 days 18%
DebbieM 5/10 5648 days 12%
mj111 10/10 5648 days 18%
Susann Koschmeider 10/10 5683 days 18%
X Otte 10/10 5687 days 18%
Hans Hoff 10/10 5687 days 18%
Solveig Mosinski 10/10 5691 days 18%
Val and Barnie Weir 10/10 5702 days 18%
Wim Put 9/10 5705 days 18%
discerner 10/10 5709 days 18%
Phillip Reade 10/10 5709 days 18%
Tim Beuzeval 9/10 5709 days 18%
barp 9/10 5740 days 18%
Becky Fairweather 10/10 5893 days 18%
David 10/10 5923 days 18%
martinat 10/10 5923 days 18%
Mike 9/10 5933 days 18%
MichaelS1 9/10 5939 days 18%
StefanieGermany 9/10 5941 days 18%
Veronika 9/10 5942 days 18%
Ralph Boese 7/10 5943 days 16%
ToyalFrance 9/10 5943 days 18%
ReneeA 9/10 5971 days 18%
Lorna 8/10 5973 days 18%
Bruce 10/10 5974 days 18%
Sandra 10/10 5980 days 18%
Heidi 7/10 5988 days 16%
Philipp 9/10 5988 days 18%
Simon 9/10 5989 days 18%
Kathryn 8/10 5990 days 18%
Barbara 9/10 5995 days 18%
Joachim 10/10 5995 days 18%
Ans 7/10 5996 days 16%
Minder 10/10 5997 days 18%
Evi 7/10 6029 days 16%
Ann Maree 9/10 6031 days 18%
Trine 9/10 6042 days 18%
Carina Korn 10/10 6139 days 18%
Christian 7/10 6139 days 16%
Nick 10/10 6142 days 18%
Terri Scott 7/10 6159 days 16%
Alan Bellerby 10/10 6309 days 18%
Robert 4/10 6315 days 10%
Elise 10/10 6315 days 18%
Fung 8/10 6315 days 18%
Peter Aston 9/10 6315 days 18%
Tony Wicks 8/10 6320 days 18%
Sue 8/10 6327 days 18%
Carla 9/10 6335 days 18%
Melissa Steedman 9/10 6362 days 18%
Vanessa Brennan 7/10 6362 days 16%
Tim 9/10 6363 days 18%
Mary 10/10 6413 days 18%
Agnes 9/10 6629 days 18%
Cohen 9/10 6649 days 18%
John 8/10 6653 days 18%
SueLinsk 9/10 6653 days 18%
Frauke 7/10 6695 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

-2.16% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 118 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 -2.13%
198 -2.14%
199 -2.15%
200 -2.16%
201 -2.17%
202 -2.19%
203 -2.20%

Balancing Adjustment

1.41% 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.