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

89.35%

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 2029 days 100%
Amanda Walden 10/10 2912 days 59%
Monique Pos 9/10 3002 days 54%
Alison Egan-Jones 9/10 3032 days 53%
Sylvain Schiber 9/10 3033 days 53%
Sylvain Chanton 10/10 3038 days 53%
Julian Gury 8/10 3046 days 51%
R. Damen 9/10 3063 days 51%
Michelle Smit 10/10 3124 days 49%
Gesa Roemer 8/10 3254 days 42%
Anais Roux 10/10 3259 days 43%
Luca Staudt 8/10 3278 days 41%
Florian Bisault 7/10 3279 days 38%
Anna Jungclaus 9/10 3286 days 41%
Signe Broedbaek 7/10 3288 days 38%
Petra Fragner 10/10 3294 days 41%
Koehler Ute 10/10 3306 days 40%
Niclas Ullno 8/10 3309 days 39%
Tamara 7/10 3310 days 37%
Chloe Guerillot 9/10 3320 days 39%
Luisa and Hannes 9/10 3333 days 39%
elena salimzhanova 10/10 3337 days 39%
Jakub Trojanek 8/10 3348 days 38%
Malina 10/10 3354 days 38%
Emma Keegan 7/10 3612 days 24%
Emilie Normand 7/10 3683 days 21%
Christopher Buch Madsen 8/10 4004 days 8%
Phil Bromby 9/10 4006 days 8%
Tobias Thull 7/10 4012 days 6%
Rita Hochstiasser 8/10 4034 days 6%
Nelle Dutilleur 10/10 4055 days 5%
Mathias Butterlin 8/10 4055 days 5%
Daryl 8/10 4063 days 5%
Bert Pubeg 9/10 4129 days 2%
Alex 8/10 4433 days 14%
Lucie 9/10 4469 days 14%
Henzen 9/10 4473 days 14%
Roy Barton 9/10 4736 days 14%
Brian Livesey 9/10 4744 days 14%
Merlyn 8/10 4752 days 14%
Beyeler 10/10 4756 days 14%
Ralf Glaser 7/10 4756 days 13%
Suzanne van Kol 8/10 4761 days 14%
kiwifrenchy 10/10 4768 days 14%
_mel_ 9/10 4799 days 14%
C 10/10 4799 days 14%
Sarah and Soren 10/10 4836 days 14%
Erik Folkersen 10/10 4844 days 14%
Rudlinger 10/10 4847 days 14%
GenH 10/10 5074 days 14%
R Tearle 10/10 5083 days 14%
Franzi & Tobi 10/10 5085 days 14%
Nathalie 10/10 5089 days 14%
Ven 9/10 5091 days 14%
Jerven and Kim 10/10 5098 days 14%
Sarah Luijckx 1/10 5100 days 0%
Alan Jeffery 7/10 5101 days 13%
Birgette Weiner 9/10 5119 days 14%
Tim Van Nispen 9/10 5121 days 14%
Bottcher 10/10 5121 days 14%
Sue & Graham Mullin 10/10 5128 days 14%
John Simpson 9/10 5130 days 14%
Karen Phillips 9/10 5130 days 14%
Michelle Booty 8/10 5132 days 14%
Nadia Husain 7/10 5133 days 13%
Dietmar Gans 10/10 5439 days 14%
Matt Roper 10/10 5461 days 14%
Chris Glasg 10/10 5478 days 14%
Jamie Hallifax 9/10 5489 days 14%
Paul Ritchie 10/10 5493 days 14%
Gerry Donoghue 10/10 5512 days 14%
Yvonne German 9/10 5515 days 14%
DebbieM 5/10 5529 days 8%
mj111 10/10 5529 days 14%
Susann Koschmeider 10/10 5564 days 14%
X Otte 10/10 5568 days 14%
Hans Hoff 10/10 5568 days 14%
Solveig Mosinski 10/10 5572 days 14%
Val and Barnie Weir 10/10 5583 days 14%
Wim Put 9/10 5586 days 14%
discerner 10/10 5590 days 14%
Phillip Reade 10/10 5590 days 14%
Tim Beuzeval 9/10 5590 days 14%
barp 9/10 5621 days 14%
Becky Fairweather 10/10 5774 days 14%
David 10/10 5804 days 14%
martinat 10/10 5804 days 14%
Mike 9/10 5813 days 14%
MichaelS1 9/10 5820 days 14%
StefanieGermany 9/10 5821 days 14%
Veronika 9/10 5823 days 14%
Ralph Boese 7/10 5824 days 13%
ToyalFrance 9/10 5824 days 14%
ReneeA 9/10 5852 days 14%
Lorna 8/10 5853 days 14%
Bruce 10/10 5854 days 14%
Sandra 10/10 5861 days 14%
Heidi 7/10 5868 days 13%
Philipp 9/10 5868 days 14%
Simon 9/10 5870 days 14%
Kathryn 8/10 5871 days 14%
Barbara 9/10 5876 days 14%
Joachim 10/10 5876 days 14%
Ans 7/10 5877 days 13%
Minder 10/10 5878 days 14%
Evi 7/10 5909 days 13%
Ann Maree 9/10 5912 days 14%
Trine 9/10 5922 days 14%
Carina Korn 10/10 6019 days 14%
Christian 7/10 6019 days 13%
Nick 10/10 6022 days 14%
Terri Scott 7/10 6039 days 13%
Alan Bellerby 10/10 6190 days 14%
Robert 4/10 6196 days 6%
Elise 10/10 6196 days 14%
Fung 8/10 6196 days 14%
Peter Aston 9/10 6196 days 14%
Tony Wicks 8/10 6201 days 14%
Sue 8/10 6208 days 14%
Carla 9/10 6216 days 14%
Melissa Steedman 9/10 6243 days 14%
Vanessa Brennan 7/10 6243 days 13%
Tim 9/10 6244 days 14%
Mary 10/10 6294 days 14%
Agnes 9/10 6510 days 14%
Cohen 9/10 6530 days 14%
John 8/10 6534 days 14%
SueLinsk 9/10 6534 days 14%
Frauke 7/10 6576 days 13%

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 53 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 -4.19%
203 -4.21%

Balancing Adjustment

1.78% 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.