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

89.47%

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 2455 days 100%
Amanda Walden 10/10 3338 days 49%
Monique Pos 9/10 3428 days 43%
Alison Egan-Jones 9/10 3458 days 41%
Sylvain Schiber 9/10 3458 days 41%
Sylvain Chanton 10/10 3463 days 41%
Julian Gury 8/10 3471 days 40%
R. Damen 9/10 3489 days 39%
Michelle Smit 10/10 3550 days 36%
Gesa Roemer 8/10 3679 days 28%
Anais Roux 10/10 3684 days 28%
Luca Staudt 8/10 3703 days 27%
Florian Bisault 7/10 3704 days 25%
Anna Jungclaus 9/10 3711 days 26%
Signe Broedbaek 7/10 3713 days 24%
Petra Fragner 10/10 3719 days 26%
Koehler Ute 10/10 3732 days 26%
Niclas Ullno 8/10 3734 days 25%
Tamara 7/10 3735 days 23%
Chloe Guerillot 9/10 3745 days 25%
Luisa and Hannes 9/10 3758 days 24%
elena salimzhanova 10/10 3763 days 24%
Jakub Trojanek 8/10 3773 days 23%
Malina 10/10 3779 days 23%
Emma Keegan 7/10 4038 days 6%
Emilie Normand 7/10 4108 days 3%
Christopher Buch Madsen 8/10 4429 days 17%
Phil Bromby 9/10 4431 days 17%
Tobias Thull 7/10 4437 days 16%
Rita Hochstiasser 8/10 4459 days 17%
Nelle Dutilleur 10/10 4480 days 18%
Mathias Butterlin 8/10 4480 days 17%
Daryl 8/10 4488 days 17%
Bert Pubeg 9/10 4554 days 17%
Alex 8/10 4858 days 17%
Lucie 9/10 4894 days 17%
Henzen 9/10 4898 days 17%
Roy Barton 9/10 5161 days 17%
Brian Livesey 9/10 5169 days 17%
Merlyn 8/10 5177 days 17%
Beyeler 10/10 5181 days 18%
Ralf Glaser 7/10 5181 days 16%
Suzanne van Kol 8/10 5186 days 17%
kiwifrenchy 10/10 5193 days 18%
_mel_ 9/10 5224 days 17%
C 10/10 5224 days 18%
Sarah and Soren 10/10 5261 days 18%
Erik Folkersen 10/10 5269 days 18%
Rudlinger 10/10 5272 days 18%
GenH 10/10 5499 days 18%
R Tearle 10/10 5508 days 18%
Franzi & Tobi 10/10 5510 days 18%
Nathalie 10/10 5514 days 18%
Ven 9/10 5516 days 17%
Jerven and Kim 10/10 5523 days 18%
Sarah Luijckx 1/10 5525 days 0%
Alan Jeffery 7/10 5526 days 16%
Birgette Weiner 9/10 5544 days 17%
Tim Van Nispen 9/10 5546 days 17%
Bottcher 10/10 5546 days 18%
Sue & Graham Mullin 10/10 5553 days 18%
John Simpson 9/10 5555 days 17%
Karen Phillips 9/10 5555 days 17%
Michelle Booty 8/10 5557 days 17%
Nadia Husain 7/10 5558 days 16%
Dietmar Gans 10/10 5864 days 18%
Matt Roper 10/10 5886 days 18%
Chris Glasg 10/10 5903 days 18%
Jamie Hallifax 9/10 5914 days 17%
Paul Ritchie 10/10 5918 days 18%
Gerry Donoghue 10/10 5937 days 18%
Yvonne German 9/10 5940 days 17%
DebbieM 5/10 5954 days 11%
mj111 10/10 5954 days 18%
Susann Koschmeider 10/10 5989 days 18%
X Otte 10/10 5993 days 18%
Hans Hoff 10/10 5993 days 18%
Solveig Mosinski 10/10 5997 days 18%
Val and Barnie Weir 10/10 6008 days 18%
Wim Put 9/10 6011 days 17%
discerner 10/10 6015 days 18%
Phillip Reade 10/10 6015 days 18%
Tim Beuzeval 9/10 6015 days 17%
barp 9/10 6046 days 17%
Becky Fairweather 10/10 6199 days 18%
David 10/10 6229 days 18%
martinat 10/10 6229 days 18%
Mike 9/10 6239 days 17%
MichaelS1 9/10 6245 days 17%
StefanieGermany 9/10 6247 days 17%
Veronika 9/10 6248 days 17%
Ralph Boese 7/10 6249 days 16%
ToyalFrance 9/10 6249 days 17%
ReneeA 9/10 6277 days 17%
Lorna 8/10 6278 days 17%
Bruce 10/10 6280 days 18%
Sandra 10/10 6286 days 18%
Heidi 7/10 6293 days 16%
Philipp 9/10 6294 days 17%
Simon 9/10 6295 days 17%
Kathryn 8/10 6296 days 17%
Barbara 9/10 6301 days 17%
Joachim 10/10 6301 days 18%
Ans 7/10 6302 days 16%
Minder 10/10 6303 days 18%
Evi 7/10 6334 days 16%
Ann Maree 9/10 6337 days 17%
Trine 9/10 6347 days 17%
Carina Korn 10/10 6445 days 18%
Christian 7/10 6445 days 16%
Nick 10/10 6447 days 18%
Terri Scott 7/10 6465 days 16%
Alan Bellerby 10/10 6615 days 18%
Robert 4/10 6621 days 7%
Elise 10/10 6621 days 18%
Fung 8/10 6621 days 17%
Peter Aston 9/10 6621 days 17%
Tony Wicks 8/10 6626 days 17%
Sue 8/10 6633 days 17%
Carla 9/10 6641 days 17%
Melissa Steedman 9/10 6668 days 17%
Vanessa Brennan 7/10 6668 days 16%
Tim 9/10 6669 days 17%
Mary 10/10 6719 days 18%
Agnes 9/10 6935 days 17%
Cohen 9/10 6955 days 17%
John 8/10 6959 days 17%
SueLinsk 9/10 6959 days 17%
Frauke 7/10 7001 days 16%

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

-3.34% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 70 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 -3.29%
198 -3.30%
199 -3.32%
200 -3.34%
201 -3.35%
202 -3.37%
203 -3.39%

Balancing Adjustment

1.61% 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.