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

89.62%

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 2384 days 100%
Amanda Walden 10/10 3267 days 55%
Monique Pos 9/10 3357 days 50%
Alison Egan-Jones 9/10 3387 days 49%
Sylvain Schiber 9/10 3388 days 49%
Sylvain Chanton 10/10 3393 days 49%
Julian Gury 8/10 3401 days 48%
R. Damen 9/10 3418 days 47%
Michelle Smit 10/10 3479 days 45%
Gesa Roemer 8/10 3609 days 37%
Anais Roux 10/10 3614 days 38%
Luca Staudt 8/10 3633 days 36%
Florian Bisault 7/10 3634 days 34%
Anna Jungclaus 9/10 3641 days 36%
Signe Broedbaek 7/10 3643 days 34%
Petra Fragner 10/10 3649 days 36%
Koehler Ute 10/10 3661 days 36%
Niclas Ullno 8/10 3664 days 35%
Tamara 7/10 3665 days 33%
Chloe Guerillot 9/10 3675 days 35%
Luisa and Hannes 9/10 3688 days 34%
elena salimzhanova 10/10 3692 days 34%
Jakub Trojanek 8/10 3703 days 33%
Malina 10/10 3709 days 33%
Emma Keegan 7/10 3967 days 19%
Emilie Normand 7/10 4038 days 15%
Christopher Buch Madsen 8/10 4359 days 0%
Phil Bromby 9/10 4361 days 0%
Tobias Thull 7/10 4367 days 0%
Rita Hochstiasser 8/10 4389 days 25%
Nelle Dutilleur 10/10 4410 days 25%
Mathias Butterlin 8/10 4410 days 25%
Daryl 8/10 4418 days 25%
Bert Pubeg 9/10 4484 days 25%
Alex 8/10 4788 days 25%
Lucie 9/10 4824 days 25%
Henzen 9/10 4828 days 25%
Roy Barton 9/10 5091 days 25%
Brian Livesey 9/10 5099 days 25%
Merlyn 8/10 5107 days 25%
Beyeler 10/10 5111 days 25%
Ralf Glaser 7/10 5111 days 23%
Suzanne van Kol 8/10 5116 days 25%
kiwifrenchy 10/10 5123 days 25%
_mel_ 9/10 5154 days 25%
C 10/10 5154 days 25%
Sarah and Soren 10/10 5191 days 25%
Erik Folkersen 10/10 5199 days 25%
Rudlinger 10/10 5202 days 25%
GenH 10/10 5429 days 25%
R Tearle 10/10 5438 days 25%
Franzi & Tobi 10/10 5440 days 25%
Nathalie 10/10 5444 days 25%
Ven 9/10 5446 days 25%
Jerven and Kim 10/10 5453 days 25%
Sarah Luijckx 1/10 5455 days 10%
Alan Jeffery 7/10 5456 days 23%
Birgette Weiner 9/10 5474 days 25%
Tim Van Nispen 9/10 5476 days 25%
Bottcher 10/10 5476 days 25%
Sue & Graham Mullin 10/10 5483 days 25%
John Simpson 9/10 5485 days 25%
Karen Phillips 9/10 5485 days 25%
Michelle Booty 8/10 5487 days 25%
Nadia Husain 7/10 5488 days 23%
Dietmar Gans 10/10 5794 days 25%
Matt Roper 10/10 5816 days 25%
Chris Glasg 10/10 5833 days 25%
Jamie Hallifax 9/10 5844 days 25%
Paul Ritchie 10/10 5848 days 25%
Gerry Donoghue 10/10 5867 days 25%
Yvonne German 9/10 5870 days 25%
DebbieM 5/10 5884 days 19%
mj111 10/10 5884 days 25%
Susann Koschmeider 10/10 5919 days 25%
X Otte 10/10 5923 days 25%
Hans Hoff 10/10 5923 days 25%
Solveig Mosinski 10/10 5927 days 25%
Val and Barnie Weir 10/10 5938 days 25%
Wim Put 9/10 5941 days 25%
discerner 10/10 5945 days 25%
Phillip Reade 10/10 5945 days 25%
Tim Beuzeval 9/10 5945 days 25%
barp 9/10 5976 days 25%
Becky Fairweather 10/10 6129 days 25%
David 10/10 6159 days 25%
martinat 10/10 6159 days 25%
Mike 9/10 6168 days 25%
MichaelS1 9/10 6175 days 25%
StefanieGermany 9/10 6176 days 25%
Veronika 9/10 6178 days 25%
Ralph Boese 7/10 6179 days 23%
ToyalFrance 9/10 6179 days 25%
ReneeA 9/10 6207 days 25%
Lorna 8/10 6208 days 25%
Bruce 10/10 6209 days 25%
Sandra 10/10 6216 days 25%
Heidi 7/10 6223 days 23%
Philipp 9/10 6223 days 25%
Simon 9/10 6225 days 25%
Kathryn 8/10 6226 days 25%
Barbara 9/10 6231 days 25%
Joachim 10/10 6231 days 25%
Ans 7/10 6232 days 23%
Minder 10/10 6233 days 25%
Evi 7/10 6264 days 23%
Ann Maree 9/10 6267 days 25%
Trine 9/10 6277 days 25%
Carina Korn 10/10 6375 days 25%
Christian 7/10 6375 days 23%
Nick 10/10 6377 days 25%
Terri Scott 7/10 6394 days 23%
Alan Bellerby 10/10 6545 days 25%
Robert 4/10 6551 days 16%
Elise 10/10 6551 days 25%
Fung 8/10 6551 days 25%
Peter Aston 9/10 6551 days 25%
Tony Wicks 8/10 6556 days 25%
Sue 8/10 6563 days 25%
Carla 9/10 6571 days 25%
Melissa Steedman 9/10 6598 days 25%
Vanessa Brennan 7/10 6598 days 23%
Tim 9/10 6599 days 25%
Mary 10/10 6649 days 25%
Agnes 9/10 6865 days 25%
Cohen 9/10 6885 days 25%
John 8/10 6889 days 25%
SueLinsk 9/10 6889 days 25%
Frauke 7/10 6931 days 23%

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

-4.15% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 51 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 -4.09%
198 -4.11%
199 -4.13%
200 -4.15%
201 -4.18%
202 -4.20%
203 -4.22%

Balancing Adjustment

1.73% 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.