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

89.30%

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 1936 days 100%
Amanda Walden 10/10 2819 days 64%
Monique Pos 9/10 2909 days 60%
Alison Egan-Jones 9/10 2939 days 58%
Sylvain Schiber 9/10 2939 days 58%
Sylvain Chanton 10/10 2944 days 59%
Julian Gury 8/10 2952 days 57%
R. Damen 9/10 2970 days 57%
Michelle Smit 10/10 3031 days 55%
Gesa Roemer 8/10 3160 days 49%
Anais Roux 10/10 3165 days 50%
Luca Staudt 8/10 3184 days 48%
Florian Bisault 7/10 3185 days 45%
Anna Jungclaus 9/10 3192 days 48%
Signe Broedbaek 7/10 3194 days 45%
Petra Fragner 10/10 3200 days 48%
Koehler Ute 10/10 3213 days 48%
Niclas Ullno 8/10 3215 days 47%
Tamara 7/10 3216 days 44%
Chloe Guerillot 9/10 3226 days 47%
Luisa and Hannes 9/10 3239 days 46%
elena salimzhanova 10/10 3244 days 46%
Jakub Trojanek 8/10 3254 days 45%
Malina 10/10 3260 days 46%
Emma Keegan 7/10 3519 days 33%
Emilie Normand 7/10 3589 days 30%
Christopher Buch Madsen 8/10 3910 days 19%
Phil Bromby 9/10 3912 days 19%
Tobias Thull 7/10 3918 days 18%
Rita Hochstiasser 8/10 3940 days 18%
Nelle Dutilleur 10/10 3961 days 17%
Mathias Butterlin 8/10 3961 days 17%
Daryl 8/10 3969 days 16%
Bert Pubeg 9/10 4035 days 14%
Alex 8/10 4339 days 2%
Lucie 9/10 4375 days 0%
Henzen 9/10 4379 days 0%
Roy Barton 9/10 4642 days 21%
Brian Livesey 9/10 4650 days 21%
Merlyn 8/10 4658 days 20%
Beyeler 10/10 4662 days 21%
Ralf Glaser 7/10 4662 days 19%
Suzanne van Kol 8/10 4667 days 20%
kiwifrenchy 10/10 4674 days 21%
_mel_ 9/10 4705 days 21%
C 10/10 4705 days 21%
Sarah and Soren 10/10 4742 days 21%
Erik Folkersen 10/10 4750 days 21%
Rudlinger 10/10 4753 days 21%
GenH 10/10 4980 days 21%
R Tearle 10/10 4989 days 21%
Franzi & Tobi 10/10 4991 days 21%
Nathalie 10/10 4995 days 21%
Ven 9/10 4997 days 21%
Jerven and Kim 10/10 5004 days 21%
Sarah Luijckx 1/10 5006 days 8%
Alan Jeffery 7/10 5007 days 19%
Birgette Weiner 9/10 5025 days 21%
Tim Van Nispen 9/10 5027 days 21%
Bottcher 10/10 5027 days 21%
Sue & Graham Mullin 10/10 5034 days 21%
John Simpson 9/10 5036 days 21%
Karen Phillips 9/10 5036 days 21%
Michelle Booty 8/10 5038 days 20%
Nadia Husain 7/10 5039 days 19%
Dietmar Gans 10/10 5345 days 21%
Matt Roper 10/10 5367 days 21%
Chris Glasg 10/10 5384 days 21%
Jamie Hallifax 9/10 5395 days 21%
Paul Ritchie 10/10 5399 days 21%
Gerry Donoghue 10/10 5418 days 21%
Yvonne German 9/10 5421 days 21%
DebbieM 5/10 5435 days 16%
mj111 10/10 5435 days 21%
Susann Koschmeider 10/10 5470 days 21%
X Otte 10/10 5474 days 21%
Hans Hoff 10/10 5474 days 21%
Solveig Mosinski 10/10 5478 days 21%
Val and Barnie Weir 10/10 5489 days 21%
Wim Put 9/10 5492 days 21%
discerner 10/10 5496 days 21%
Phillip Reade 10/10 5496 days 21%
Tim Beuzeval 9/10 5496 days 21%
barp 9/10 5527 days 21%
Becky Fairweather 10/10 5680 days 21%
David 10/10 5710 days 21%
martinat 10/10 5710 days 21%
Mike 9/10 5720 days 21%
MichaelS1 9/10 5726 days 21%
StefanieGermany 9/10 5728 days 21%
Veronika 9/10 5730 days 21%
Ralph Boese 7/10 5730 days 19%
ToyalFrance 9/10 5730 days 21%
ReneeA 9/10 5758 days 21%
Lorna 8/10 5760 days 20%
Bruce 10/10 5761 days 21%
Sandra 10/10 5768 days 21%
Heidi 7/10 5775 days 19%
Philipp 9/10 5775 days 21%
Simon 9/10 5776 days 21%
Kathryn 8/10 5778 days 20%
Barbara 9/10 5783 days 21%
Joachim 10/10 5783 days 21%
Ans 7/10 5784 days 19%
Minder 10/10 5785 days 21%
Evi 7/10 5816 days 19%
Ann Maree 9/10 5819 days 21%
Trine 9/10 5829 days 21%
Carina Korn 10/10 5926 days 21%
Christian 7/10 5926 days 19%
Nick 10/10 5929 days 21%
Terri Scott 7/10 5946 days 19%
Alan Bellerby 10/10 6096 days 21%
Robert 4/10 6102 days 14%
Elise 10/10 6102 days 21%
Fung 8/10 6102 days 20%
Peter Aston 9/10 6102 days 21%
Tony Wicks 8/10 6107 days 20%
Sue 8/10 6114 days 20%
Carla 9/10 6122 days 21%
Melissa Steedman 9/10 6149 days 21%
Vanessa Brennan 7/10 6149 days 19%
Tim 9/10 6150 days 21%
Mary 10/10 6200 days 21%
Agnes 9/10 6416 days 21%
Cohen 9/10 6436 days 21%
John 8/10 6440 days 20%
SueLinsk 9/10 6440 days 21%
Frauke 7/10 6482 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

-4.03% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 44 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 -3.97%
198 -3.99%
199 -4.01%
200 -4.03%
201 -4.05%
202 -4.07%
203 -4.09%

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.