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 2330 days 100%
Amanda Walden 10/10 3213 days 57%
Monique Pos 9/10 3303 days 52%
Alison Egan-Jones 9/10 3333 days 50%
Sylvain Schiber 9/10 3334 days 50%
Sylvain Chanton 10/10 3339 days 50%
Julian Gury 8/10 3347 days 49%
R. Damen 9/10 3364 days 49%
Michelle Smit 10/10 3425 days 46%
Gesa Roemer 8/10 3555 days 39%
Anais Roux 10/10 3560 days 40%
Luca Staudt 8/10 3579 days 38%
Florian Bisault 7/10 3580 days 36%
Anna Jungclaus 9/10 3587 days 38%
Signe Broedbaek 7/10 3589 days 35%
Petra Fragner 10/10 3595 days 38%
Koehler Ute 10/10 3607 days 37%
Niclas Ullno 8/10 3610 days 36%
Tamara 7/10 3611 days 34%
Chloe Guerillot 9/10 3621 days 36%
Luisa and Hannes 9/10 3634 days 36%
elena salimzhanova 10/10 3638 days 36%
Jakub Trojanek 8/10 3649 days 34%
Malina 10/10 3655 days 35%
Emma Keegan 7/10 3913 days 21%
Emilie Normand 7/10 3984 days 17%
Christopher Buch Madsen 8/10 4305 days 3%
Phil Bromby 9/10 4307 days 3%
Tobias Thull 7/10 4313 days 2%
Rita Hochstiasser 8/10 4335 days 1%
Nelle Dutilleur 10/10 4356 days 0%
Mathias Butterlin 8/10 4356 days 0%
Daryl 8/10 4364 days 0%
Bert Pubeg 9/10 4430 days 24%
Alex 8/10 4734 days 24%
Lucie 9/10 4770 days 24%
Henzen 9/10 4774 days 24%
Roy Barton 9/10 5037 days 24%
Brian Livesey 9/10 5045 days 24%
Merlyn 8/10 5053 days 24%
Beyeler 10/10 5057 days 24%
Ralf Glaser 7/10 5057 days 23%
Suzanne van Kol 8/10 5062 days 24%
kiwifrenchy 10/10 5069 days 24%
_mel_ 9/10 5100 days 24%
C 10/10 5100 days 24%
Sarah and Soren 10/10 5137 days 24%
Erik Folkersen 10/10 5145 days 24%
Rudlinger 10/10 5148 days 24%
GenH 10/10 5375 days 24%
R Tearle 10/10 5384 days 24%
Franzi & Tobi 10/10 5386 days 24%
Nathalie 10/10 5390 days 24%
Ven 9/10 5392 days 24%
Jerven and Kim 10/10 5399 days 24%
Sarah Luijckx 1/10 5401 days 9%
Alan Jeffery 7/10 5402 days 23%
Birgette Weiner 9/10 5420 days 24%
Tim Van Nispen 9/10 5422 days 24%
Bottcher 10/10 5422 days 24%
Sue & Graham Mullin 10/10 5429 days 24%
John Simpson 9/10 5431 days 24%
Karen Phillips 9/10 5431 days 24%
Michelle Booty 8/10 5433 days 24%
Nadia Husain 7/10 5434 days 23%
Dietmar Gans 10/10 5740 days 24%
Matt Roper 10/10 5762 days 24%
Chris Glasg 10/10 5779 days 24%
Jamie Hallifax 9/10 5790 days 24%
Paul Ritchie 10/10 5794 days 24%
Gerry Donoghue 10/10 5813 days 24%
Yvonne German 9/10 5816 days 24%
DebbieM 5/10 5830 days 18%
mj111 10/10 5830 days 24%
Susann Koschmeider 10/10 5865 days 24%
X Otte 10/10 5869 days 24%
Hans Hoff 10/10 5869 days 24%
Solveig Mosinski 10/10 5873 days 24%
Val and Barnie Weir 10/10 5884 days 24%
Wim Put 9/10 5887 days 24%
discerner 10/10 5891 days 24%
Phillip Reade 10/10 5891 days 24%
Tim Beuzeval 9/10 5891 days 24%
barp 9/10 5922 days 24%
Becky Fairweather 10/10 6075 days 24%
David 10/10 6105 days 24%
martinat 10/10 6105 days 24%
Mike 9/10 6114 days 24%
MichaelS1 9/10 6121 days 24%
StefanieGermany 9/10 6122 days 24%
Veronika 9/10 6124 days 24%
Ralph Boese 7/10 6125 days 23%
ToyalFrance 9/10 6125 days 24%
ReneeA 9/10 6153 days 24%
Lorna 8/10 6154 days 24%
Bruce 10/10 6155 days 24%
Sandra 10/10 6162 days 24%
Heidi 7/10 6169 days 23%
Philipp 9/10 6169 days 24%
Simon 9/10 6171 days 24%
Kathryn 8/10 6172 days 24%
Barbara 9/10 6177 days 24%
Joachim 10/10 6177 days 24%
Ans 7/10 6178 days 23%
Minder 10/10 6179 days 24%
Evi 7/10 6210 days 23%
Ann Maree 9/10 6213 days 24%
Trine 9/10 6223 days 24%
Carina Korn 10/10 6321 days 24%
Christian 7/10 6321 days 23%
Nick 10/10 6323 days 24%
Terri Scott 7/10 6340 days 23%
Alan Bellerby 10/10 6491 days 24%
Robert 4/10 6497 days 16%
Elise 10/10 6497 days 24%
Fung 8/10 6497 days 24%
Peter Aston 9/10 6497 days 24%
Tony Wicks 8/10 6502 days 24%
Sue 8/10 6509 days 24%
Carla 9/10 6517 days 24%
Melissa Steedman 9/10 6544 days 24%
Vanessa Brennan 7/10 6544 days 23%
Tim 9/10 6545 days 24%
Mary 10/10 6595 days 24%
Agnes 9/10 6811 days 24%
Cohen 9/10 6831 days 24%
John 8/10 6835 days 24%
SueLinsk 9/10 6835 days 24%
Frauke 7/10 6877 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

-4.05% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 42 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 -3.99%
198 -4.01%
199 -4.03%
200 -4.05%
201 -4.07%
202 -4.09%
203 -4.11%

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.