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

89.48%

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 2476 days 100%
Amanda Walden 10/10 3359 days 48%
Monique Pos 9/10 3449 days 42%
Alison Egan-Jones 9/10 3479 days 40%
Sylvain Schiber 9/10 3479 days 40%
Sylvain Chanton 10/10 3484 days 41%
Julian Gury 8/10 3492 days 39%
R. Damen 9/10 3510 days 39%
Michelle Smit 10/10 3571 days 35%
Gesa Roemer 8/10 3700 days 27%
Anais Roux 10/10 3705 days 28%
Luca Staudt 8/10 3724 days 26%
Florian Bisault 7/10 3725 days 24%
Anna Jungclaus 9/10 3732 days 26%
Signe Broedbaek 7/10 3734 days 23%
Petra Fragner 10/10 3740 days 25%
Koehler Ute 10/10 3753 days 25%
Niclas Ullno 8/10 3755 days 24%
Tamara 7/10 3756 days 22%
Chloe Guerillot 9/10 3766 days 24%
Luisa and Hannes 9/10 3779 days 23%
elena salimzhanova 10/10 3784 days 23%
Jakub Trojanek 8/10 3794 days 22%
Malina 10/10 3800 days 22%
Emma Keegan 7/10 4059 days 5%
Emilie Normand 7/10 4129 days 2%
Christopher Buch Madsen 8/10 4450 days 17%
Phil Bromby 9/10 4452 days 18%
Tobias Thull 7/10 4458 days 16%
Rita Hochstiasser 8/10 4480 days 17%
Nelle Dutilleur 10/10 4501 days 18%
Mathias Butterlin 8/10 4501 days 17%
Daryl 8/10 4509 days 17%
Bert Pubeg 9/10 4575 days 18%
Alex 8/10 4879 days 17%
Lucie 9/10 4915 days 18%
Henzen 9/10 4919 days 18%
Roy Barton 9/10 5182 days 18%
Brian Livesey 9/10 5190 days 18%
Merlyn 8/10 5198 days 17%
Beyeler 10/10 5202 days 18%
Ralf Glaser 7/10 5202 days 16%
Suzanne van Kol 8/10 5207 days 17%
kiwifrenchy 10/10 5214 days 18%
_mel_ 9/10 5245 days 18%
C 10/10 5245 days 18%
Sarah and Soren 10/10 5282 days 18%
Erik Folkersen 10/10 5290 days 18%
Rudlinger 10/10 5293 days 18%
GenH 10/10 5520 days 18%
R Tearle 10/10 5529 days 18%
Franzi & Tobi 10/10 5531 days 18%
Nathalie 10/10 5535 days 18%
Ven 9/10 5537 days 18%
Jerven and Kim 10/10 5544 days 18%
Sarah Luijckx 1/10 5546 days 0%
Alan Jeffery 7/10 5547 days 16%
Birgette Weiner 9/10 5565 days 18%
Tim Van Nispen 9/10 5567 days 18%
Bottcher 10/10 5567 days 18%
Sue & Graham Mullin 10/10 5574 days 18%
John Simpson 9/10 5576 days 18%
Karen Phillips 9/10 5576 days 18%
Michelle Booty 8/10 5578 days 17%
Nadia Husain 7/10 5579 days 16%
Dietmar Gans 10/10 5885 days 18%
Matt Roper 10/10 5907 days 18%
Chris Glasg 10/10 5924 days 18%
Jamie Hallifax 9/10 5935 days 18%
Paul Ritchie 10/10 5939 days 18%
Gerry Donoghue 10/10 5958 days 18%
Yvonne German 9/10 5961 days 18%
DebbieM 5/10 5975 days 11%
mj111 10/10 5975 days 18%
Susann Koschmeider 10/10 6010 days 18%
X Otte 10/10 6014 days 18%
Hans Hoff 10/10 6014 days 18%
Solveig Mosinski 10/10 6018 days 18%
Val and Barnie Weir 10/10 6029 days 18%
Wim Put 9/10 6032 days 18%
discerner 10/10 6036 days 18%
Phillip Reade 10/10 6036 days 18%
Tim Beuzeval 9/10 6036 days 18%
barp 9/10 6067 days 18%
Becky Fairweather 10/10 6220 days 18%
David 10/10 6250 days 18%
martinat 10/10 6250 days 18%
Mike 9/10 6259 days 18%
MichaelS1 9/10 6266 days 18%
StefanieGermany 9/10 6267 days 18%
Veronika 9/10 6269 days 18%
Ralph Boese 7/10 6270 days 16%
ToyalFrance 9/10 6270 days 18%
ReneeA 9/10 6298 days 18%
Lorna 8/10 6299 days 17%
Bruce 10/10 6300 days 18%
Sandra 10/10 6307 days 18%
Heidi 7/10 6314 days 16%
Philipp 9/10 6315 days 18%
Simon 9/10 6316 days 18%
Kathryn 8/10 6317 days 17%
Barbara 9/10 6322 days 18%
Joachim 10/10 6322 days 18%
Ans 7/10 6323 days 16%
Minder 10/10 6324 days 18%
Evi 7/10 6355 days 16%
Ann Maree 9/10 6358 days 18%
Trine 9/10 6368 days 18%
Carina Korn 10/10 6466 days 18%
Christian 7/10 6466 days 16%
Nick 10/10 6468 days 18%
Terri Scott 7/10 6486 days 16%
Alan Bellerby 10/10 6636 days 18%
Robert 4/10 6642 days 7%
Elise 10/10 6642 days 18%
Fung 8/10 6642 days 17%
Peter Aston 9/10 6642 days 18%
Tony Wicks 8/10 6647 days 17%
Sue 8/10 6654 days 17%
Carla 9/10 6662 days 18%
Melissa Steedman 9/10 6689 days 18%
Vanessa Brennan 7/10 6689 days 16%
Tim 9/10 6690 days 18%
Mary 10/10 6740 days 18%
Agnes 9/10 6956 days 18%
Cohen 9/10 6976 days 18%
John 8/10 6980 days 17%
SueLinsk 9/10 6980 days 18%
Frauke 7/10 7022 days 16%

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

-2.87% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 88 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 -2.82%
198 -2.84%
199 -2.85%
200 -2.87%
201 -2.88%
202 -2.90%
203 -2.91%

Balancing Adjustment

1.52% 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

88%

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.