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

89.67%

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 2317 days 100%
Amanda Walden 10/10 3200 days 57%
Monique Pos 9/10 3290 days 52%
Alison Egan-Jones 9/10 3320 days 50%
Sylvain Schiber 9/10 3321 days 50%
Sylvain Chanton 10/10 3326 days 50%
Julian Gury 8/10 3334 days 49%
R. Damen 9/10 3351 days 49%
Michelle Smit 10/10 3412 days 46%
Gesa Roemer 8/10 3542 days 39%
Anais Roux 10/10 3547 days 40%
Luca Staudt 8/10 3566 days 38%
Florian Bisault 7/10 3567 days 36%
Anna Jungclaus 9/10 3574 days 38%
Signe Broedbaek 7/10 3576 days 35%
Petra Fragner 10/10 3582 days 38%
Koehler Ute 10/10 3594 days 37%
Niclas Ullno 8/10 3597 days 36%
Tamara 7/10 3598 days 34%
Chloe Guerillot 9/10 3608 days 36%
Luisa and Hannes 9/10 3621 days 36%
elena salimzhanova 10/10 3625 days 36%
Jakub Trojanek 8/10 3636 days 34%
Malina 10/10 3642 days 35%
Emma Keegan 7/10 3900 days 21%
Emilie Normand 7/10 3971 days 17%
Christopher Buch Madsen 8/10 4292 days 3%
Phil Bromby 9/10 4294 days 3%
Tobias Thull 7/10 4300 days 2%
Rita Hochstiasser 8/10 4322 days 1%
Nelle Dutilleur 10/10 4343 days 0%
Mathias Butterlin 8/10 4343 days 0%
Daryl 8/10 4351 days 0%
Bert Pubeg 9/10 4417 days 23%
Alex 8/10 4721 days 23%
Lucie 9/10 4757 days 23%
Henzen 9/10 4761 days 23%
Roy Barton 9/10 5024 days 23%
Brian Livesey 9/10 5032 days 23%
Merlyn 8/10 5040 days 23%
Beyeler 10/10 5044 days 24%
Ralf Glaser 7/10 5044 days 22%
Suzanne van Kol 8/10 5049 days 23%
kiwifrenchy 10/10 5056 days 24%
_mel_ 9/10 5087 days 23%
C 10/10 5087 days 24%
Sarah and Soren 10/10 5124 days 24%
Erik Folkersen 10/10 5132 days 24%
Rudlinger 10/10 5135 days 24%
GenH 10/10 5362 days 24%
R Tearle 10/10 5371 days 24%
Franzi & Tobi 10/10 5373 days 24%
Nathalie 10/10 5377 days 24%
Ven 9/10 5379 days 23%
Jerven and Kim 10/10 5386 days 24%
Sarah Luijckx 1/10 5388 days 9%
Alan Jeffery 7/10 5389 days 22%
Birgette Weiner 9/10 5407 days 23%
Tim Van Nispen 9/10 5409 days 23%
Bottcher 10/10 5409 days 24%
Sue & Graham Mullin 10/10 5416 days 24%
John Simpson 9/10 5418 days 23%
Karen Phillips 9/10 5418 days 23%
Michelle Booty 8/10 5420 days 23%
Nadia Husain 7/10 5421 days 22%
Dietmar Gans 10/10 5727 days 24%
Matt Roper 10/10 5749 days 24%
Chris Glasg 10/10 5766 days 24%
Jamie Hallifax 9/10 5777 days 23%
Paul Ritchie 10/10 5781 days 24%
Gerry Donoghue 10/10 5800 days 24%
Yvonne German 9/10 5803 days 23%
DebbieM 5/10 5817 days 18%
mj111 10/10 5817 days 24%
Susann Koschmeider 10/10 5852 days 24%
X Otte 10/10 5856 days 24%
Hans Hoff 10/10 5856 days 24%
Solveig Mosinski 10/10 5860 days 24%
Val and Barnie Weir 10/10 5871 days 24%
Wim Put 9/10 5874 days 23%
discerner 10/10 5878 days 24%
Phillip Reade 10/10 5878 days 24%
Tim Beuzeval 9/10 5878 days 23%
barp 9/10 5909 days 23%
Becky Fairweather 10/10 6062 days 24%
David 10/10 6092 days 24%
martinat 10/10 6092 days 24%
Mike 9/10 6101 days 23%
MichaelS1 9/10 6108 days 23%
StefanieGermany 9/10 6109 days 23%
Veronika 9/10 6111 days 23%
Ralph Boese 7/10 6112 days 22%
ToyalFrance 9/10 6112 days 23%
ReneeA 9/10 6140 days 23%
Lorna 8/10 6141 days 23%
Bruce 10/10 6142 days 24%
Sandra 10/10 6149 days 24%
Heidi 7/10 6156 days 22%
Philipp 9/10 6156 days 23%
Simon 9/10 6158 days 23%
Kathryn 8/10 6159 days 23%
Barbara 9/10 6164 days 23%
Joachim 10/10 6164 days 24%
Ans 7/10 6165 days 22%
Minder 10/10 6166 days 24%
Evi 7/10 6197 days 22%
Ann Maree 9/10 6200 days 23%
Trine 9/10 6210 days 23%
Carina Korn 10/10 6307 days 24%
Christian 7/10 6307 days 22%
Nick 10/10 6310 days 24%
Terri Scott 7/10 6327 days 22%
Alan Bellerby 10/10 6478 days 24%
Robert 4/10 6484 days 15%
Elise 10/10 6484 days 24%
Fung 8/10 6484 days 23%
Peter Aston 9/10 6484 days 23%
Tony Wicks 8/10 6489 days 23%
Sue 8/10 6496 days 23%
Carla 9/10 6504 days 23%
Melissa Steedman 9/10 6531 days 23%
Vanessa Brennan 7/10 6531 days 22%
Tim 9/10 6532 days 23%
Mary 10/10 6582 days 24%
Agnes 9/10 6798 days 23%
Cohen 9/10 6818 days 23%
John 8/10 6822 days 23%
SueLinsk 9/10 6822 days 23%
Frauke 7/10 6864 days 22%

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

-4.07% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 42 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 -4.01%
198 -4.03%
199 -4.05%
200 -4.07%
201 -4.09%
202 -4.11%
203 -4.13%

Balancing Adjustment

1.71% 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.