Ranking Score Explained

Kia ora, 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

89.69%

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 2332 days 100%
Amanda Walden 10/10 3215 days 57%
Monique Pos 9/10 3305 days 52%
Alison Egan-Jones 9/10 3335 days 50%
Sylvain Schiber 9/10 3336 days 50%
Sylvain Chanton 10/10 3341 days 50%
Julian Gury 8/10 3349 days 49%
R. Damen 9/10 3366 days 49%
Michelle Smit 10/10 3427 days 46%
Gesa Roemer 8/10 3557 days 39%
Anais Roux 10/10 3562 days 40%
Luca Staudt 8/10 3581 days 38%
Florian Bisault 7/10 3582 days 36%
Anna Jungclaus 9/10 3589 days 38%
Signe Broedbaek 7/10 3591 days 35%
Petra Fragner 10/10 3597 days 38%
Koehler Ute 10/10 3609 days 37%
Niclas Ullno 8/10 3612 days 36%
Tamara 7/10 3613 days 34%
Chloe Guerillot 9/10 3623 days 36%
Luisa and Hannes 9/10 3636 days 36%
elena salimzhanova 10/10 3640 days 36%
Jakub Trojanek 8/10 3651 days 34%
Malina 10/10 3657 days 35%
Emma Keegan 7/10 3915 days 21%
Emilie Normand 7/10 3986 days 17%
Christopher Buch Madsen 8/10 4307 days 3%
Phil Bromby 9/10 4309 days 3%
Tobias Thull 7/10 4315 days 2%
Rita Hochstiasser 8/10 4337 days 1%
Nelle Dutilleur 10/10 4358 days 0%
Mathias Butterlin 8/10 4358 days 0%
Daryl 8/10 4366 days 0%
Bert Pubeg 9/10 4432 days 24%
Alex 8/10 4736 days 24%
Lucie 9/10 4772 days 24%
Henzen 9/10 4776 days 24%
Roy Barton 9/10 5039 days 24%
Brian Livesey 9/10 5047 days 24%
Merlyn 8/10 5055 days 24%
Beyeler 10/10 5059 days 24%
Ralf Glaser 7/10 5059 days 23%
Suzanne van Kol 8/10 5064 days 24%
kiwifrenchy 10/10 5071 days 24%
_mel_ 9/10 5102 days 24%
C 10/10 5102 days 24%
Sarah and Soren 10/10 5139 days 24%
Erik Folkersen 10/10 5147 days 24%
Rudlinger 10/10 5150 days 24%
GenH 10/10 5377 days 24%
R Tearle 10/10 5386 days 24%
Franzi & Tobi 10/10 5388 days 24%
Nathalie 10/10 5392 days 24%
Ven 9/10 5394 days 24%
Jerven and Kim 10/10 5401 days 24%
Sarah Luijckx 1/10 5403 days 10%
Alan Jeffery 7/10 5404 days 23%
Birgette Weiner 9/10 5422 days 24%
Tim Van Nispen 9/10 5424 days 24%
Bottcher 10/10 5424 days 24%
Sue & Graham Mullin 10/10 5431 days 24%
John Simpson 9/10 5433 days 24%
Karen Phillips 9/10 5433 days 24%
Michelle Booty 8/10 5435 days 24%
Nadia Husain 7/10 5436 days 23%
Dietmar Gans 10/10 5742 days 24%
Matt Roper 10/10 5764 days 24%
Chris Glasg 10/10 5781 days 24%
Jamie Hallifax 9/10 5792 days 24%
Paul Ritchie 10/10 5796 days 24%
Gerry Donoghue 10/10 5815 days 24%
Yvonne German 9/10 5818 days 24%
DebbieM 5/10 5832 days 18%
mj111 10/10 5832 days 24%
Susann Koschmeider 10/10 5867 days 24%
X Otte 10/10 5871 days 24%
Hans Hoff 10/10 5871 days 24%
Solveig Mosinski 10/10 5875 days 24%
Val and Barnie Weir 10/10 5886 days 24%
Wim Put 9/10 5889 days 24%
discerner 10/10 5893 days 24%
Phillip Reade 10/10 5893 days 24%
Tim Beuzeval 9/10 5893 days 24%
barp 9/10 5924 days 24%
Becky Fairweather 10/10 6077 days 24%
David 10/10 6107 days 24%
martinat 10/10 6107 days 24%
Mike 9/10 6116 days 24%
MichaelS1 9/10 6123 days 24%
StefanieGermany 9/10 6124 days 24%
Veronika 9/10 6126 days 24%
Ralph Boese 7/10 6127 days 23%
ToyalFrance 9/10 6127 days 24%
ReneeA 9/10 6155 days 24%
Lorna 8/10 6156 days 24%
Bruce 10/10 6157 days 24%
Sandra 10/10 6164 days 24%
Heidi 7/10 6171 days 23%
Philipp 9/10 6171 days 24%
Simon 9/10 6173 days 24%
Kathryn 8/10 6174 days 24%
Barbara 9/10 6179 days 24%
Joachim 10/10 6179 days 24%
Ans 7/10 6180 days 23%
Minder 10/10 6181 days 24%
Evi 7/10 6212 days 23%
Ann Maree 9/10 6215 days 24%
Trine 9/10 6225 days 24%
Carina Korn 10/10 6323 days 24%
Christian 7/10 6323 days 23%
Nick 10/10 6325 days 24%
Terri Scott 7/10 6342 days 23%
Alan Bellerby 10/10 6493 days 24%
Robert 4/10 6499 days 16%
Elise 10/10 6499 days 24%
Fung 8/10 6499 days 24%
Peter Aston 9/10 6499 days 24%
Tony Wicks 8/10 6504 days 24%
Sue 8/10 6511 days 24%
Carla 9/10 6519 days 24%
Melissa Steedman 9/10 6546 days 24%
Vanessa Brennan 7/10 6546 days 23%
Tim 9/10 6547 days 24%
Mary 10/10 6597 days 24%
Agnes 9/10 6813 days 24%
Cohen 9/10 6833 days 24%
John 8/10 6837 days 24%
SueLinsk 9/10 6837 days 24%
Frauke 7/10 6879 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

-4.04% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 41 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 -3.98%
198 -4.00%
199 -4.02%
200 -4.04%
201 -4.06%
202 -4.08%
203 -4.10%

Balancing Adjustment

1.70% 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.