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

89.66%

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 2362 days 100%
Amanda Walden 10/10 3245 days 56%
Monique Pos 9/10 3335 days 51%
Alison Egan-Jones 9/10 3365 days 49%
Sylvain Schiber 9/10 3365 days 49%
Sylvain Chanton 10/10 3370 days 50%
Julian Gury 8/10 3378 days 48%
R. Damen 9/10 3396 days 48%
Michelle Smit 10/10 3457 days 45%
Gesa Roemer 8/10 3586 days 38%
Anais Roux 10/10 3591 days 39%
Luca Staudt 8/10 3610 days 37%
Florian Bisault 7/10 3611 days 35%
Anna Jungclaus 9/10 3618 days 37%
Signe Broedbaek 7/10 3620 days 35%
Petra Fragner 10/10 3626 days 37%
Koehler Ute 10/10 3639 days 36%
Niclas Ullno 8/10 3641 days 35%
Tamara 7/10 3642 days 34%
Chloe Guerillot 9/10 3652 days 35%
Luisa and Hannes 9/10 3665 days 35%
elena salimzhanova 10/10 3670 days 35%
Jakub Trojanek 8/10 3680 days 34%
Malina 10/10 3686 days 34%
Emma Keegan 7/10 3945 days 20%
Emilie Normand 7/10 4015 days 16%
Christopher Buch Madsen 8/10 4336 days 1%
Phil Bromby 9/10 4338 days 1%
Tobias Thull 7/10 4344 days 1%
Rita Hochstiasser 8/10 4366 days 0%
Nelle Dutilleur 10/10 4387 days 25%
Mathias Butterlin 8/10 4387 days 24%
Daryl 8/10 4395 days 24%
Bert Pubeg 9/10 4461 days 25%
Alex 8/10 4765 days 24%
Lucie 9/10 4801 days 25%
Henzen 9/10 4805 days 25%
Roy Barton 9/10 5068 days 25%
Brian Livesey 9/10 5076 days 25%
Merlyn 8/10 5084 days 24%
Beyeler 10/10 5088 days 25%
Ralf Glaser 7/10 5088 days 23%
Suzanne van Kol 8/10 5093 days 24%
kiwifrenchy 10/10 5100 days 25%
_mel_ 9/10 5131 days 25%
C 10/10 5131 days 25%
Sarah and Soren 10/10 5168 days 25%
Erik Folkersen 10/10 5176 days 25%
Rudlinger 10/10 5179 days 25%
GenH 10/10 5406 days 25%
R Tearle 10/10 5415 days 25%
Franzi & Tobi 10/10 5417 days 25%
Nathalie 10/10 5421 days 25%
Ven 9/10 5423 days 25%
Jerven and Kim 10/10 5430 days 25%
Sarah Luijckx 1/10 5432 days 10%
Alan Jeffery 7/10 5433 days 23%
Birgette Weiner 9/10 5451 days 25%
Tim Van Nispen 9/10 5453 days 25%
Bottcher 10/10 5453 days 25%
Sue & Graham Mullin 10/10 5460 days 25%
John Simpson 9/10 5462 days 25%
Karen Phillips 9/10 5462 days 25%
Michelle Booty 8/10 5464 days 24%
Nadia Husain 7/10 5465 days 23%
Dietmar Gans 10/10 5771 days 25%
Matt Roper 10/10 5793 days 25%
Chris Glasg 10/10 5810 days 25%
Jamie Hallifax 9/10 5821 days 25%
Paul Ritchie 10/10 5825 days 25%
Gerry Donoghue 10/10 5844 days 25%
Yvonne German 9/10 5847 days 25%
DebbieM 5/10 5861 days 19%
mj111 10/10 5861 days 25%
Susann Koschmeider 10/10 5896 days 25%
X Otte 10/10 5900 days 25%
Hans Hoff 10/10 5900 days 25%
Solveig Mosinski 10/10 5904 days 25%
Val and Barnie Weir 10/10 5915 days 25%
Wim Put 9/10 5918 days 25%
discerner 10/10 5922 days 25%
Phillip Reade 10/10 5922 days 25%
Tim Beuzeval 9/10 5922 days 25%
barp 9/10 5953 days 25%
Becky Fairweather 10/10 6106 days 25%
David 10/10 6136 days 25%
martinat 10/10 6136 days 25%
Mike 9/10 6146 days 25%
MichaelS1 9/10 6152 days 25%
StefanieGermany 9/10 6154 days 25%
Veronika 9/10 6156 days 25%
Ralph Boese 7/10 6156 days 23%
ToyalFrance 9/10 6156 days 25%
ReneeA 9/10 6184 days 25%
Lorna 8/10 6186 days 24%
Bruce 10/10 6187 days 25%
Sandra 10/10 6193 days 25%
Heidi 7/10 6201 days 23%
Philipp 9/10 6201 days 25%
Simon 9/10 6202 days 25%
Kathryn 8/10 6203 days 24%
Barbara 9/10 6208 days 25%
Joachim 10/10 6209 days 25%
Ans 7/10 6209 days 23%
Minder 10/10 6211 days 25%
Evi 7/10 6242 days 23%
Ann Maree 9/10 6245 days 25%
Trine 9/10 6255 days 25%
Carina Korn 10/10 6352 days 25%
Christian 7/10 6352 days 23%
Nick 10/10 6355 days 25%
Terri Scott 7/10 6372 days 23%
Alan Bellerby 10/10 6522 days 25%
Robert 4/10 6528 days 16%
Elise 10/10 6528 days 25%
Fung 8/10 6528 days 24%
Peter Aston 9/10 6528 days 25%
Tony Wicks 8/10 6533 days 24%
Sue 8/10 6540 days 24%
Carla 9/10 6548 days 25%
Melissa Steedman 9/10 6575 days 25%
Vanessa Brennan 7/10 6575 days 23%
Tim 9/10 6576 days 25%
Mary 10/10 6626 days 25%
Agnes 9/10 6842 days 25%
Cohen 9/10 6862 days 25%
John 8/10 6866 days 24%
SueLinsk 9/10 6866 days 25%
Frauke 7/10 6908 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

-4.09% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 46 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 -4.03%
198 -4.05%
199 -4.07%
200 -4.09%
201 -4.11%
202 -4.13%
203 -4.15%

Balancing Adjustment

1.71% 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.