Ranking Score Explained

Hey, 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

89.37%

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 2049 days 100%
Amanda Walden 10/10 2932 days 58%
Monique Pos 9/10 3022 days 54%
Alison Egan-Jones 9/10 3052 days 52%
Sylvain Schiber 9/10 3053 days 52%
Sylvain Chanton 10/10 3058 days 52%
Julian Gury 8/10 3066 days 51%
R. Damen 9/10 3083 days 51%
Michelle Smit 10/10 3144 days 48%
Gesa Roemer 8/10 3274 days 41%
Anais Roux 10/10 3279 days 42%
Luca Staudt 8/10 3298 days 40%
Florian Bisault 7/10 3299 days 38%
Anna Jungclaus 9/10 3306 days 40%
Signe Broedbaek 7/10 3308 days 37%
Petra Fragner 10/10 3314 days 40%
Koehler Ute 10/10 3326 days 40%
Niclas Ullno 8/10 3329 days 39%
Tamara 7/10 3330 days 36%
Chloe Guerillot 9/10 3340 days 39%
Luisa and Hannes 9/10 3353 days 38%
elena salimzhanova 10/10 3357 days 38%
Jakub Trojanek 8/10 3368 days 37%
Malina 10/10 3374 days 38%
Emma Keegan 7/10 3632 days 23%
Emilie Normand 7/10 3703 days 20%
Christopher Buch Madsen 8/10 4024 days 7%
Phil Bromby 9/10 4026 days 7%
Tobias Thull 7/10 4032 days 5%
Rita Hochstiasser 8/10 4054 days 5%
Nelle Dutilleur 10/10 4075 days 5%
Mathias Butterlin 8/10 4075 days 4%
Daryl 8/10 4083 days 4%
Bert Pubeg 9/10 4149 days 1%
Alex 8/10 4453 days 14%
Lucie 9/10 4489 days 14%
Henzen 9/10 4493 days 14%
Roy Barton 9/10 4756 days 14%
Brian Livesey 9/10 4764 days 14%
Merlyn 8/10 4772 days 14%
Beyeler 10/10 4776 days 14%
Ralf Glaser 7/10 4776 days 13%
Suzanne van Kol 8/10 4781 days 14%
kiwifrenchy 10/10 4788 days 14%
_mel_ 9/10 4819 days 14%
C 10/10 4819 days 14%
Sarah and Soren 10/10 4856 days 14%
Erik Folkersen 10/10 4864 days 14%
Rudlinger 10/10 4867 days 14%
GenH 10/10 5094 days 14%
R Tearle 10/10 5103 days 14%
Franzi & Tobi 10/10 5105 days 14%
Nathalie 10/10 5109 days 14%
Ven 9/10 5111 days 14%
Jerven and Kim 10/10 5118 days 14%
Sarah Luijckx 1/10 5120 days 0%
Alan Jeffery 7/10 5121 days 13%
Birgette Weiner 9/10 5139 days 14%
Tim Van Nispen 9/10 5141 days 14%
Bottcher 10/10 5141 days 14%
Sue & Graham Mullin 10/10 5148 days 14%
John Simpson 9/10 5150 days 14%
Karen Phillips 9/10 5150 days 14%
Michelle Booty 8/10 5152 days 14%
Nadia Husain 7/10 5153 days 13%
Dietmar Gans 10/10 5459 days 14%
Matt Roper 10/10 5481 days 14%
Chris Glasg 10/10 5498 days 14%
Jamie Hallifax 9/10 5509 days 14%
Paul Ritchie 10/10 5513 days 14%
Gerry Donoghue 10/10 5532 days 14%
Yvonne German 9/10 5535 days 14%
DebbieM 5/10 5549 days 9%
mj111 10/10 5549 days 14%
Susann Koschmeider 10/10 5584 days 14%
X Otte 10/10 5588 days 14%
Hans Hoff 10/10 5588 days 14%
Solveig Mosinski 10/10 5592 days 14%
Val and Barnie Weir 10/10 5603 days 14%
Wim Put 9/10 5606 days 14%
discerner 10/10 5610 days 14%
Phillip Reade 10/10 5610 days 14%
Tim Beuzeval 9/10 5610 days 14%
barp 9/10 5641 days 14%
Becky Fairweather 10/10 5794 days 14%
David 10/10 5824 days 14%
martinat 10/10 5824 days 14%
Mike 9/10 5833 days 14%
MichaelS1 9/10 5840 days 14%
StefanieGermany 9/10 5841 days 14%
Veronika 9/10 5843 days 14%
Ralph Boese 7/10 5844 days 13%
ToyalFrance 9/10 5844 days 14%
ReneeA 9/10 5872 days 14%
Lorna 8/10 5873 days 14%
Bruce 10/10 5874 days 14%
Sandra 10/10 5881 days 14%
Heidi 7/10 5888 days 13%
Philipp 9/10 5888 days 14%
Simon 9/10 5890 days 14%
Kathryn 8/10 5891 days 14%
Barbara 9/10 5896 days 14%
Joachim 10/10 5896 days 14%
Ans 7/10 5897 days 13%
Minder 10/10 5898 days 14%
Evi 7/10 5929 days 13%
Ann Maree 9/10 5932 days 14%
Trine 9/10 5942 days 14%
Carina Korn 10/10 6039 days 14%
Christian 7/10 6039 days 13%
Nick 10/10 6042 days 14%
Terri Scott 7/10 6059 days 13%
Alan Bellerby 10/10 6210 days 14%
Robert 4/10 6216 days 6%
Elise 10/10 6216 days 14%
Fung 8/10 6216 days 14%
Peter Aston 9/10 6216 days 14%
Tony Wicks 8/10 6221 days 14%
Sue 8/10 6228 days 14%
Carla 9/10 6236 days 14%
Melissa Steedman 9/10 6263 days 14%
Vanessa Brennan 7/10 6263 days 13%
Tim 9/10 6264 days 14%
Mary 10/10 6314 days 14%
Agnes 9/10 6530 days 14%
Cohen 9/10 6550 days 14%
John 8/10 6554 days 14%
SueLinsk 9/10 6554 days 14%
Frauke 7/10 6596 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

-4.02% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 57 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 -3.96%
198 -3.98%
199 -4.00%
200 -4.02%
201 -4.04%
202 -4.06%
203 -4.08%

Balancing Adjustment

1.76% 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.