Ranking Score Explained

G'day, 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

89.46%

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 2434 days 100%
Amanda Walden 10/10 3317 days 49%
Monique Pos 9/10 3407 days 43%
Alison Egan-Jones 9/10 3437 days 42%
Sylvain Schiber 9/10 3438 days 42%
Sylvain Chanton 10/10 3443 days 42%
Julian Gury 8/10 3451 days 40%
R. Damen 9/10 3468 days 40%
Michelle Smit 10/10 3529 days 37%
Gesa Roemer 8/10 3659 days 29%
Anais Roux 10/10 3664 days 29%
Luca Staudt 8/10 3683 days 27%
Florian Bisault 7/10 3684 days 25%
Anna Jungclaus 9/10 3691 days 27%
Signe Broedbaek 7/10 3693 days 25%
Petra Fragner 10/10 3699 days 27%
Koehler Ute 10/10 3711 days 27%
Niclas Ullno 8/10 3714 days 26%
Tamara 7/10 3715 days 24%
Chloe Guerillot 9/10 3725 days 25%
Luisa and Hannes 9/10 3738 days 25%
elena salimzhanova 10/10 3742 days 25%
Jakub Trojanek 8/10 3753 days 23%
Malina 10/10 3759 days 24%
Emma Keegan 7/10 4017 days 8%
Emilie Normand 7/10 4088 days 4%
Christopher Buch Madsen 8/10 4409 days 17%
Phil Bromby 9/10 4411 days 17%
Tobias Thull 7/10 4417 days 15%
Rita Hochstiasser 8/10 4439 days 17%
Nelle Dutilleur 10/10 4460 days 17%
Mathias Butterlin 8/10 4460 days 17%
Daryl 8/10 4468 days 17%
Bert Pubeg 9/10 4534 days 17%
Alex 8/10 4838 days 17%
Lucie 9/10 4874 days 17%
Henzen 9/10 4878 days 17%
Roy Barton 9/10 5141 days 17%
Brian Livesey 9/10 5149 days 17%
Merlyn 8/10 5157 days 17%
Beyeler 10/10 5161 days 17%
Ralf Glaser 7/10 5161 days 15%
Suzanne van Kol 8/10 5166 days 17%
kiwifrenchy 10/10 5173 days 17%
_mel_ 9/10 5204 days 17%
C 10/10 5204 days 17%
Sarah and Soren 10/10 5241 days 17%
Erik Folkersen 10/10 5249 days 17%
Rudlinger 10/10 5252 days 17%
GenH 10/10 5479 days 17%
R Tearle 10/10 5488 days 17%
Franzi & Tobi 10/10 5490 days 17%
Nathalie 10/10 5494 days 17%
Ven 9/10 5496 days 17%
Jerven and Kim 10/10 5503 days 17%
Sarah Luijckx 1/10 5505 days 0%
Alan Jeffery 7/10 5506 days 15%
Birgette Weiner 9/10 5524 days 17%
Tim Van Nispen 9/10 5526 days 17%
Bottcher 10/10 5526 days 17%
Sue & Graham Mullin 10/10 5533 days 17%
John Simpson 9/10 5535 days 17%
Karen Phillips 9/10 5535 days 17%
Michelle Booty 8/10 5537 days 17%
Nadia Husain 7/10 5538 days 15%
Dietmar Gans 10/10 5844 days 17%
Matt Roper 10/10 5866 days 17%
Chris Glasg 10/10 5883 days 17%
Jamie Hallifax 9/10 5894 days 17%
Paul Ritchie 10/10 5898 days 17%
Gerry Donoghue 10/10 5917 days 17%
Yvonne German 9/10 5920 days 17%
DebbieM 5/10 5934 days 10%
mj111 10/10 5934 days 17%
Susann Koschmeider 10/10 5969 days 17%
X Otte 10/10 5973 days 17%
Hans Hoff 10/10 5973 days 17%
Solveig Mosinski 10/10 5977 days 17%
Val and Barnie Weir 10/10 5988 days 17%
Wim Put 9/10 5991 days 17%
discerner 10/10 5995 days 17%
Phillip Reade 10/10 5995 days 17%
Tim Beuzeval 9/10 5995 days 17%
barp 9/10 6026 days 17%
Becky Fairweather 10/10 6179 days 17%
David 10/10 6209 days 17%
martinat 10/10 6209 days 17%
Mike 9/10 6218 days 17%
MichaelS1 9/10 6225 days 17%
StefanieGermany 9/10 6226 days 17%
Veronika 9/10 6228 days 17%
Ralph Boese 7/10 6229 days 15%
ToyalFrance 9/10 6229 days 17%
ReneeA 9/10 6257 days 17%
Lorna 8/10 6258 days 17%
Bruce 10/10 6259 days 17%
Sandra 10/10 6266 days 17%
Heidi 7/10 6273 days 15%
Philipp 9/10 6273 days 17%
Simon 9/10 6275 days 17%
Kathryn 8/10 6276 days 17%
Barbara 9/10 6281 days 17%
Joachim 10/10 6281 days 17%
Ans 7/10 6282 days 15%
Minder 10/10 6283 days 17%
Evi 7/10 6314 days 15%
Ann Maree 9/10 6317 days 17%
Trine 9/10 6327 days 17%
Carina Korn 10/10 6424 days 17%
Christian 7/10 6424 days 15%
Nick 10/10 6427 days 17%
Terri Scott 7/10 6444 days 15%
Alan Bellerby 10/10 6595 days 17%
Robert 4/10 6601 days 7%
Elise 10/10 6601 days 17%
Fung 8/10 6601 days 17%
Peter Aston 9/10 6601 days 17%
Tony Wicks 8/10 6606 days 17%
Sue 8/10 6613 days 17%
Carla 9/10 6621 days 17%
Melissa Steedman 9/10 6648 days 17%
Vanessa Brennan 7/10 6648 days 15%
Tim 9/10 6649 days 17%
Mary 10/10 6699 days 17%
Agnes 9/10 6915 days 17%
Cohen 9/10 6935 days 17%
John 8/10 6939 days 17%
SueLinsk 9/10 6939 days 17%
Frauke 7/10 6981 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

-3.74% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 60 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 -3.68%
198 -3.70%
199 -3.72%
200 -3.74%
201 -3.76%
202 -3.77%
203 -3.79%

Balancing Adjustment

1.68% 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.