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

89.45%

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 2413 days 100%
Amanda Walden 10/10 3296 days 50%
Monique Pos 9/10 3386 days 44%
Alison Egan-Jones 9/10 3416 days 42%
Sylvain Schiber 9/10 3417 days 42%
Sylvain Chanton 10/10 3422 days 43%
Julian Gury 8/10 3430 days 41%
R. Damen 9/10 3447 days 41%
Michelle Smit 10/10 3508 days 38%
Gesa Roemer 8/10 3638 days 30%
Anais Roux 10/10 3643 days 30%
Luca Staudt 8/10 3662 days 28%
Florian Bisault 7/10 3663 days 26%
Anna Jungclaus 9/10 3670 days 28%
Signe Broedbaek 7/10 3672 days 26%
Petra Fragner 10/10 3678 days 28%
Koehler Ute 10/10 3690 days 27%
Niclas Ullno 8/10 3693 days 26%
Tamara 7/10 3694 days 24%
Chloe Guerillot 9/10 3704 days 26%
Luisa and Hannes 9/10 3717 days 26%
elena salimzhanova 10/10 3721 days 26%
Jakub Trojanek 8/10 3732 days 24%
Malina 10/10 3738 days 25%
Emma Keegan 7/10 3996 days 9%
Emilie Normand 7/10 4067 days 5%
Christopher Buch Madsen 8/10 4388 days 17%
Phil Bromby 9/10 4390 days 17%
Tobias Thull 7/10 4396 days 15%
Rita Hochstiasser 8/10 4418 days 17%
Nelle Dutilleur 10/10 4439 days 17%
Mathias Butterlin 8/10 4439 days 17%
Daryl 8/10 4447 days 17%
Bert Pubeg 9/10 4513 days 17%
Alex 8/10 4817 days 17%
Lucie 9/10 4853 days 17%
Henzen 9/10 4857 days 17%
Roy Barton 9/10 5120 days 17%
Brian Livesey 9/10 5128 days 17%
Merlyn 8/10 5136 days 17%
Beyeler 10/10 5140 days 17%
Ralf Glaser 7/10 5140 days 15%
Suzanne van Kol 8/10 5145 days 17%
kiwifrenchy 10/10 5152 days 17%
_mel_ 9/10 5183 days 17%
C 10/10 5183 days 17%
Sarah and Soren 10/10 5220 days 17%
Erik Folkersen 10/10 5228 days 17%
Rudlinger 10/10 5231 days 17%
GenH 10/10 5458 days 17%
R Tearle 10/10 5467 days 17%
Franzi & Tobi 10/10 5469 days 17%
Nathalie 10/10 5473 days 17%
Ven 9/10 5475 days 17%
Jerven and Kim 10/10 5482 days 17%
Sarah Luijckx 1/10 5484 days 0%
Alan Jeffery 7/10 5485 days 15%
Birgette Weiner 9/10 5503 days 17%
Tim Van Nispen 9/10 5505 days 17%
Bottcher 10/10 5505 days 17%
Sue & Graham Mullin 10/10 5512 days 17%
John Simpson 9/10 5514 days 17%
Karen Phillips 9/10 5514 days 17%
Michelle Booty 8/10 5516 days 17%
Nadia Husain 7/10 5517 days 15%
Dietmar Gans 10/10 5823 days 17%
Matt Roper 10/10 5845 days 17%
Chris Glasg 10/10 5862 days 17%
Jamie Hallifax 9/10 5873 days 17%
Paul Ritchie 10/10 5877 days 17%
Gerry Donoghue 10/10 5896 days 17%
Yvonne German 9/10 5899 days 17%
DebbieM 5/10 5913 days 10%
mj111 10/10 5913 days 17%
Susann Koschmeider 10/10 5948 days 17%
X Otte 10/10 5952 days 17%
Hans Hoff 10/10 5952 days 17%
Solveig Mosinski 10/10 5956 days 17%
Val and Barnie Weir 10/10 5967 days 17%
Wim Put 9/10 5970 days 17%
discerner 10/10 5974 days 17%
Phillip Reade 10/10 5974 days 17%
Tim Beuzeval 9/10 5974 days 17%
barp 9/10 6005 days 17%
Becky Fairweather 10/10 6158 days 17%
David 10/10 6188 days 17%
martinat 10/10 6188 days 17%
Mike 9/10 6197 days 17%
MichaelS1 9/10 6204 days 17%
StefanieGermany 9/10 6205 days 17%
Veronika 9/10 6207 days 17%
Ralph Boese 7/10 6208 days 15%
ToyalFrance 9/10 6208 days 17%
ReneeA 9/10 6236 days 17%
Lorna 8/10 6237 days 17%
Bruce 10/10 6238 days 17%
Sandra 10/10 6245 days 17%
Heidi 7/10 6252 days 15%
Philipp 9/10 6252 days 17%
Simon 9/10 6254 days 17%
Kathryn 8/10 6255 days 17%
Barbara 9/10 6260 days 17%
Joachim 10/10 6260 days 17%
Ans 7/10 6261 days 15%
Minder 10/10 6262 days 17%
Evi 7/10 6293 days 15%
Ann Maree 9/10 6296 days 17%
Trine 9/10 6306 days 17%
Carina Korn 10/10 6403 days 17%
Christian 7/10 6403 days 15%
Nick 10/10 6406 days 17%
Terri Scott 7/10 6423 days 15%
Alan Bellerby 10/10 6574 days 17%
Robert 4/10 6580 days 7%
Elise 10/10 6580 days 17%
Fung 8/10 6580 days 17%
Peter Aston 9/10 6580 days 17%
Tony Wicks 8/10 6585 days 17%
Sue 8/10 6592 days 17%
Carla 9/10 6600 days 17%
Melissa Steedman 9/10 6627 days 17%
Vanessa Brennan 7/10 6627 days 15%
Tim 9/10 6628 days 17%
Mary 10/10 6678 days 17%
Agnes 9/10 6894 days 17%
Cohen 9/10 6914 days 17%
John 8/10 6918 days 17%
SueLinsk 9/10 6918 days 17%
Frauke 7/10 6960 days 15%

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

-4.03% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 57 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 -3.97%
198 -3.99%
199 -4.01%
200 -4.03%
201 -4.05%
202 -4.07%
203 -4.09%

Balancing Adjustment

1.74% 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.