Ranking Score Explained

Hi, 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

89.28%

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 1917 days 100%
Amanda Walden 10/10 2800 days 64%
Monique Pos 9/10 2890 days 60%
Alison Egan-Jones 9/10 2920 days 58%
Sylvain Schiber 9/10 2920 days 58%
Sylvain Chanton 10/10 2925 days 59%
Julian Gury 8/10 2933 days 57%
R. Damen 9/10 2951 days 57%
Michelle Smit 10/10 3012 days 55%
Gesa Roemer 8/10 3141 days 49%
Anais Roux 10/10 3146 days 50%
Luca Staudt 8/10 3165 days 48%
Florian Bisault 7/10 3166 days 45%
Anna Jungclaus 9/10 3173 days 48%
Signe Broedbaek 7/10 3175 days 45%
Petra Fragner 10/10 3181 days 48%
Koehler Ute 10/10 3194 days 48%
Niclas Ullno 8/10 3196 days 47%
Tamara 7/10 3197 days 44%
Chloe Guerillot 9/10 3207 days 47%
Luisa and Hannes 9/10 3220 days 46%
elena salimzhanova 10/10 3225 days 46%
Jakub Trojanek 8/10 3235 days 45%
Malina 10/10 3241 days 46%
Emma Keegan 7/10 3500 days 33%
Emilie Normand 7/10 3570 days 30%
Christopher Buch Madsen 8/10 3891 days 19%
Phil Bromby 9/10 3893 days 19%
Tobias Thull 7/10 3899 days 18%
Rita Hochstiasser 8/10 3921 days 18%
Nelle Dutilleur 10/10 3942 days 17%
Mathias Butterlin 8/10 3942 days 17%
Daryl 8/10 3950 days 16%
Bert Pubeg 9/10 4016 days 14%
Alex 8/10 4320 days 2%
Lucie 9/10 4356 days 0%
Henzen 9/10 4360 days 0%
Roy Barton 9/10 4623 days 20%
Brian Livesey 9/10 4631 days 20%
Merlyn 8/10 4639 days 20%
Beyeler 10/10 4643 days 20%
Ralf Glaser 7/10 4643 days 19%
Suzanne van Kol 8/10 4648 days 20%
kiwifrenchy 10/10 4655 days 20%
_mel_ 9/10 4686 days 20%
C 10/10 4686 days 20%
Sarah and Soren 10/10 4723 days 20%
Erik Folkersen 10/10 4731 days 20%
Rudlinger 10/10 4734 days 20%
GenH 10/10 4961 days 20%
R Tearle 10/10 4970 days 20%
Franzi & Tobi 10/10 4972 days 20%
Nathalie 10/10 4976 days 20%
Ven 9/10 4978 days 20%
Jerven and Kim 10/10 4985 days 20%
Sarah Luijckx 1/10 4987 days 8%
Alan Jeffery 7/10 4988 days 19%
Birgette Weiner 9/10 5006 days 20%
Tim Van Nispen 9/10 5008 days 20%
Bottcher 10/10 5008 days 20%
Sue & Graham Mullin 10/10 5015 days 20%
John Simpson 9/10 5017 days 20%
Karen Phillips 9/10 5017 days 20%
Michelle Booty 8/10 5019 days 20%
Nadia Husain 7/10 5020 days 19%
Dietmar Gans 10/10 5326 days 20%
Matt Roper 10/10 5348 days 20%
Chris Glasg 10/10 5365 days 20%
Jamie Hallifax 9/10 5376 days 20%
Paul Ritchie 10/10 5380 days 20%
Gerry Donoghue 10/10 5399 days 20%
Yvonne German 9/10 5402 days 20%
DebbieM 5/10 5416 days 15%
mj111 10/10 5416 days 20%
Susann Koschmeider 10/10 5451 days 20%
X Otte 10/10 5455 days 20%
Hans Hoff 10/10 5455 days 20%
Solveig Mosinski 10/10 5459 days 20%
Val and Barnie Weir 10/10 5470 days 20%
Wim Put 9/10 5473 days 20%
discerner 10/10 5477 days 20%
Phillip Reade 10/10 5477 days 20%
Tim Beuzeval 9/10 5477 days 20%
barp 9/10 5508 days 20%
Becky Fairweather 10/10 5661 days 20%
David 10/10 5691 days 20%
martinat 10/10 5691 days 20%
Mike 9/10 5700 days 20%
MichaelS1 9/10 5707 days 20%
StefanieGermany 9/10 5708 days 20%
Veronika 9/10 5710 days 20%
Ralph Boese 7/10 5711 days 19%
ToyalFrance 9/10 5711 days 20%
ReneeA 9/10 5739 days 20%
Lorna 8/10 5740 days 20%
Bruce 10/10 5741 days 20%
Sandra 10/10 5748 days 20%
Heidi 7/10 5755 days 19%
Philipp 9/10 5755 days 20%
Simon 9/10 5757 days 20%
Kathryn 8/10 5758 days 20%
Barbara 9/10 5763 days 20%
Joachim 10/10 5763 days 20%
Ans 7/10 5764 days 19%
Minder 10/10 5765 days 20%
Evi 7/10 5796 days 19%
Ann Maree 9/10 5799 days 20%
Trine 9/10 5809 days 20%
Carina Korn 10/10 5907 days 20%
Christian 7/10 5907 days 19%
Nick 10/10 5909 days 20%
Terri Scott 7/10 5926 days 19%
Alan Bellerby 10/10 6077 days 20%
Robert 4/10 6083 days 13%
Elise 10/10 6083 days 20%
Fung 8/10 6083 days 20%
Peter Aston 9/10 6083 days 20%
Tony Wicks 8/10 6088 days 20%
Sue 8/10 6095 days 20%
Carla 9/10 6103 days 20%
Melissa Steedman 9/10 6130 days 20%
Vanessa Brennan 7/10 6130 days 19%
Tim 9/10 6131 days 20%
Mary 10/10 6181 days 20%
Agnes 9/10 6397 days 20%
Cohen 9/10 6417 days 20%
John 8/10 6421 days 20%
SueLinsk 9/10 6421 days 20%
Frauke 7/10 6463 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

-3.84% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 51 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 -3.78%
198 -3.80%
199 -3.82%
200 -3.84%
201 -3.86%
202 -3.88%
203 -3.90%

Balancing Adjustment

1.74% 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.