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

89.31%

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 1939 days 100%
Amanda Walden 10/10 2822 days 64%
Monique Pos 9/10 2912 days 60%
Alison Egan-Jones 9/10 2942 days 58%
Sylvain Schiber 9/10 2942 days 58%
Sylvain Chanton 10/10 2947 days 59%
Julian Gury 8/10 2955 days 57%
R. Damen 9/10 2973 days 57%
Michelle Smit 10/10 3034 days 55%
Gesa Roemer 8/10 3163 days 49%
Anais Roux 10/10 3168 days 50%
Luca Staudt 8/10 3187 days 48%
Florian Bisault 7/10 3188 days 45%
Anna Jungclaus 9/10 3195 days 48%
Signe Broedbaek 7/10 3197 days 45%
Petra Fragner 10/10 3203 days 48%
Koehler Ute 10/10 3216 days 48%
Niclas Ullno 8/10 3218 days 47%
Tamara 7/10 3219 days 44%
Chloe Guerillot 9/10 3229 days 47%
Luisa and Hannes 9/10 3242 days 46%
elena salimzhanova 10/10 3247 days 46%
Jakub Trojanek 8/10 3257 days 45%
Malina 10/10 3263 days 46%
Emma Keegan 7/10 3522 days 33%
Emilie Normand 7/10 3592 days 30%
Christopher Buch Madsen 8/10 3913 days 19%
Phil Bromby 9/10 3915 days 19%
Tobias Thull 7/10 3921 days 17%
Rita Hochstiasser 8/10 3943 days 17%
Nelle Dutilleur 10/10 3964 days 17%
Mathias Butterlin 8/10 3964 days 17%
Daryl 8/10 3972 days 16%
Bert Pubeg 9/10 4038 days 14%
Alex 8/10 4342 days 1%
Lucie 9/10 4378 days 0%
Henzen 9/10 4382 days 21%
Roy Barton 9/10 4645 days 21%
Brian Livesey 9/10 4653 days 21%
Merlyn 8/10 4661 days 20%
Beyeler 10/10 4665 days 21%
Ralf Glaser 7/10 4665 days 19%
Suzanne van Kol 8/10 4670 days 20%
kiwifrenchy 10/10 4677 days 21%
_mel_ 9/10 4708 days 21%
C 10/10 4708 days 21%
Sarah and Soren 10/10 4745 days 21%
Erik Folkersen 10/10 4753 days 21%
Rudlinger 10/10 4756 days 21%
GenH 10/10 4983 days 21%
R Tearle 10/10 4992 days 21%
Franzi & Tobi 10/10 4994 days 21%
Nathalie 10/10 4998 days 21%
Ven 9/10 5000 days 21%
Jerven and Kim 10/10 5007 days 21%
Sarah Luijckx 1/10 5009 days 8%
Alan Jeffery 7/10 5010 days 19%
Birgette Weiner 9/10 5028 days 21%
Tim Van Nispen 9/10 5030 days 21%
Bottcher 10/10 5030 days 21%
Sue & Graham Mullin 10/10 5037 days 21%
John Simpson 9/10 5039 days 21%
Karen Phillips 9/10 5039 days 21%
Michelle Booty 8/10 5041 days 20%
Nadia Husain 7/10 5042 days 19%
Dietmar Gans 10/10 5348 days 21%
Matt Roper 10/10 5370 days 21%
Chris Glasg 10/10 5387 days 21%
Jamie Hallifax 9/10 5398 days 21%
Paul Ritchie 10/10 5402 days 21%
Gerry Donoghue 10/10 5421 days 21%
Yvonne German 9/10 5424 days 21%
DebbieM 5/10 5438 days 16%
mj111 10/10 5438 days 21%
Susann Koschmeider 10/10 5473 days 21%
X Otte 10/10 5477 days 21%
Hans Hoff 10/10 5477 days 21%
Solveig Mosinski 10/10 5481 days 21%
Val and Barnie Weir 10/10 5492 days 21%
Wim Put 9/10 5495 days 21%
discerner 10/10 5499 days 21%
Phillip Reade 10/10 5499 days 21%
Tim Beuzeval 9/10 5499 days 21%
barp 9/10 5530 days 21%
Becky Fairweather 10/10 5683 days 21%
David 10/10 5713 days 21%
martinat 10/10 5713 days 21%
Mike 9/10 5723 days 21%
MichaelS1 9/10 5729 days 21%
StefanieGermany 9/10 5731 days 21%
Veronika 9/10 5733 days 21%
Ralph Boese 7/10 5733 days 19%
ToyalFrance 9/10 5733 days 21%
ReneeA 9/10 5761 days 21%
Lorna 8/10 5763 days 20%
Bruce 10/10 5764 days 21%
Sandra 10/10 5771 days 21%
Heidi 7/10 5778 days 19%
Philipp 9/10 5778 days 21%
Simon 9/10 5779 days 21%
Kathryn 8/10 5781 days 20%
Barbara 9/10 5786 days 21%
Joachim 10/10 5786 days 21%
Ans 7/10 5787 days 19%
Minder 10/10 5788 days 21%
Evi 7/10 5819 days 19%
Ann Maree 9/10 5822 days 21%
Trine 9/10 5832 days 21%
Carina Korn 10/10 5929 days 21%
Christian 7/10 5929 days 19%
Nick 10/10 5932 days 21%
Terri Scott 7/10 5949 days 19%
Alan Bellerby 10/10 6099 days 21%
Robert 4/10 6105 days 14%
Elise 10/10 6105 days 21%
Fung 8/10 6105 days 20%
Peter Aston 9/10 6105 days 21%
Tony Wicks 8/10 6110 days 20%
Sue 8/10 6117 days 20%
Carla 9/10 6125 days 21%
Melissa Steedman 9/10 6152 days 21%
Vanessa Brennan 7/10 6152 days 19%
Tim 9/10 6153 days 21%
Mary 10/10 6203 days 21%
Agnes 9/10 6419 days 21%
Cohen 9/10 6439 days 21%
John 8/10 6443 days 20%
SueLinsk 9/10 6443 days 21%
Frauke 7/10 6485 days 19%

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 43 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

1.77% 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.