Ranking Score Explained

G'day, 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

89.24%

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 1875 days 100%
Amanda Walden 10/10 2758 days 64%
Monique Pos 9/10 2848 days 60%
Alison Egan-Jones 9/10 2878 days 58%
Sylvain Schiber 9/10 2879 days 58%
Sylvain Chanton 10/10 2884 days 59%
Julian Gury 8/10 2892 days 57%
R. Damen 9/10 2909 days 57%
Michelle Smit 10/10 2970 days 55%
Gesa Roemer 8/10 3100 days 49%
Anais Roux 10/10 3105 days 50%
Luca Staudt 8/10 3124 days 48%
Florian Bisault 7/10 3125 days 45%
Anna Jungclaus 9/10 3132 days 48%
Signe Broedbaek 7/10 3134 days 45%
Petra Fragner 10/10 3140 days 48%
Koehler Ute 10/10 3152 days 48%
Niclas Ullno 8/10 3155 days 47%
Tamara 7/10 3156 days 44%
Chloe Guerillot 9/10 3166 days 47%
Luisa and Hannes 9/10 3179 days 46%
elena salimzhanova 10/10 3183 days 46%
Jakub Trojanek 8/10 3194 days 45%
Malina 10/10 3200 days 46%
Emma Keegan 7/10 3458 days 33%
Emilie Normand 7/10 3529 days 30%
Christopher Buch Madsen 8/10 3850 days 19%
Phil Bromby 9/10 3852 days 19%
Tobias Thull 7/10 3858 days 17%
Rita Hochstiasser 8/10 3880 days 18%
Nelle Dutilleur 10/10 3901 days 17%
Mathias Butterlin 8/10 3901 days 17%
Daryl 8/10 3909 days 16%
Bert Pubeg 9/10 3975 days 14%
Alex 8/10 4279 days 2%
Lucie 9/10 4315 days 0%
Henzen 9/10 4319 days 0%
Roy Barton 9/10 4582 days 18%
Brian Livesey 9/10 4590 days 18%
Merlyn 8/10 4598 days 18%
Beyeler 10/10 4602 days 18%
Ralf Glaser 7/10 4602 days 17%
Suzanne van Kol 8/10 4607 days 18%
kiwifrenchy 10/10 4614 days 18%
_mel_ 9/10 4645 days 18%
C 10/10 4645 days 18%
Sarah and Soren 10/10 4682 days 18%
Erik Folkersen 10/10 4690 days 18%
Rudlinger 10/10 4693 days 18%
GenH 10/10 4920 days 18%
R Tearle 10/10 4929 days 18%
Franzi & Tobi 10/10 4931 days 18%
Nathalie 10/10 4935 days 18%
Ven 9/10 4937 days 18%
Jerven and Kim 10/10 4944 days 18%
Sarah Luijckx 1/10 4946 days 6%
Alan Jeffery 7/10 4947 days 17%
Birgette Weiner 9/10 4965 days 18%
Tim Van Nispen 9/10 4967 days 18%
Bottcher 10/10 4967 days 18%
Sue & Graham Mullin 10/10 4974 days 18%
John Simpson 9/10 4976 days 18%
Karen Phillips 9/10 4976 days 18%
Michelle Booty 8/10 4978 days 18%
Nadia Husain 7/10 4979 days 17%
Dietmar Gans 10/10 5285 days 18%
Matt Roper 10/10 5307 days 18%
Chris Glasg 10/10 5324 days 18%
Jamie Hallifax 9/10 5335 days 18%
Paul Ritchie 10/10 5339 days 18%
Gerry Donoghue 10/10 5358 days 18%
Yvonne German 9/10 5361 days 18%
DebbieM 5/10 5375 days 13%
mj111 10/10 5375 days 18%
Susann Koschmeider 10/10 5410 days 18%
X Otte 10/10 5414 days 18%
Hans Hoff 10/10 5414 days 18%
Solveig Mosinski 10/10 5418 days 18%
Val and Barnie Weir 10/10 5429 days 18%
Wim Put 9/10 5432 days 18%
discerner 10/10 5436 days 18%
Phillip Reade 10/10 5436 days 18%
Tim Beuzeval 9/10 5436 days 18%
barp 9/10 5467 days 18%
Becky Fairweather 10/10 5620 days 18%
David 10/10 5650 days 18%
martinat 10/10 5650 days 18%
Mike 9/10 5659 days 18%
MichaelS1 9/10 5666 days 18%
StefanieGermany 9/10 5667 days 18%
Veronika 9/10 5669 days 18%
Ralph Boese 7/10 5670 days 17%
ToyalFrance 9/10 5670 days 18%
ReneeA 9/10 5698 days 18%
Lorna 8/10 5699 days 18%
Bruce 10/10 5700 days 18%
Sandra 10/10 5707 days 18%
Heidi 7/10 5714 days 17%
Philipp 9/10 5714 days 18%
Simon 9/10 5716 days 18%
Kathryn 8/10 5717 days 18%
Barbara 9/10 5722 days 18%
Joachim 10/10 5722 days 18%
Ans 7/10 5723 days 17%
Minder 10/10 5724 days 18%
Evi 7/10 5755 days 17%
Ann Maree 9/10 5758 days 18%
Trine 9/10 5768 days 18%
Carina Korn 10/10 5866 days 18%
Christian 7/10 5866 days 17%
Nick 10/10 5868 days 18%
Terri Scott 7/10 5885 days 17%
Alan Bellerby 10/10 6036 days 18%
Robert 4/10 6042 days 11%
Elise 10/10 6042 days 18%
Fung 8/10 6042 days 18%
Peter Aston 9/10 6042 days 18%
Tony Wicks 8/10 6047 days 18%
Sue 8/10 6054 days 18%
Carla 9/10 6062 days 18%
Melissa Steedman 9/10 6089 days 18%
Vanessa Brennan 7/10 6089 days 17%
Tim 9/10 6090 days 18%
Mary 10/10 6140 days 18%
Agnes 9/10 6356 days 18%
Cohen 9/10 6376 days 18%
John 8/10 6380 days 18%
SueLinsk 9/10 6380 days 18%
Frauke 7/10 6422 days 17%

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

-3.03% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 75 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 -2.98%
198 -3.00%
199 -3.01%
200 -3.03%
201 -3.04%
202 -3.06%
203 -3.07%

Balancing Adjustment

1.59% 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

88%

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.