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

89.63%

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 2394 days 100%
Amanda Walden 10/10 3277 days 55%
Monique Pos 9/10 3367 days 50%
Alison Egan-Jones 9/10 3397 days 49%
Sylvain Schiber 9/10 3398 days 49%
Sylvain Chanton 10/10 3403 days 49%
Julian Gury 8/10 3411 days 48%
R. Damen 9/10 3428 days 47%
Michelle Smit 10/10 3489 days 45%
Gesa Roemer 8/10 3619 days 37%
Anais Roux 10/10 3624 days 38%
Luca Staudt 8/10 3643 days 36%
Florian Bisault 7/10 3644 days 34%
Anna Jungclaus 9/10 3651 days 36%
Signe Broedbaek 7/10 3653 days 34%
Petra Fragner 10/10 3659 days 36%
Koehler Ute 10/10 3671 days 36%
Niclas Ullno 8/10 3674 days 35%
Tamara 7/10 3675 days 33%
Chloe Guerillot 9/10 3685 days 35%
Luisa and Hannes 9/10 3698 days 34%
elena salimzhanova 10/10 3702 days 34%
Jakub Trojanek 8/10 3713 days 33%
Malina 10/10 3719 days 33%
Emma Keegan 7/10 3977 days 19%
Emilie Normand 7/10 4048 days 15%
Christopher Buch Madsen 8/10 4369 days 0%
Phil Bromby 9/10 4371 days 0%
Tobias Thull 7/10 4377 days 0%
Rita Hochstiasser 8/10 4399 days 25%
Nelle Dutilleur 10/10 4420 days 26%
Mathias Butterlin 8/10 4420 days 25%
Daryl 8/10 4428 days 25%
Bert Pubeg 9/10 4494 days 25%
Alex 8/10 4798 days 25%
Lucie 9/10 4834 days 25%
Henzen 9/10 4838 days 25%
Roy Barton 9/10 5101 days 25%
Brian Livesey 9/10 5109 days 25%
Merlyn 8/10 5117 days 25%
Beyeler 10/10 5121 days 26%
Ralf Glaser 7/10 5121 days 24%
Suzanne van Kol 8/10 5126 days 25%
kiwifrenchy 10/10 5133 days 26%
_mel_ 9/10 5164 days 25%
C 10/10 5164 days 26%
Sarah and Soren 10/10 5201 days 26%
Erik Folkersen 10/10 5209 days 26%
Rudlinger 10/10 5212 days 26%
GenH 10/10 5439 days 26%
R Tearle 10/10 5448 days 26%
Franzi & Tobi 10/10 5450 days 26%
Nathalie 10/10 5454 days 26%
Ven 9/10 5456 days 25%
Jerven and Kim 10/10 5463 days 26%
Sarah Luijckx 1/10 5465 days 10%
Alan Jeffery 7/10 5466 days 24%
Birgette Weiner 9/10 5484 days 25%
Tim Van Nispen 9/10 5486 days 25%
Bottcher 10/10 5486 days 26%
Sue & Graham Mullin 10/10 5493 days 26%
John Simpson 9/10 5495 days 25%
Karen Phillips 9/10 5495 days 25%
Michelle Booty 8/10 5497 days 25%
Nadia Husain 7/10 5498 days 24%
Dietmar Gans 10/10 5804 days 26%
Matt Roper 10/10 5826 days 26%
Chris Glasg 10/10 5843 days 26%
Jamie Hallifax 9/10 5854 days 25%
Paul Ritchie 10/10 5858 days 26%
Gerry Donoghue 10/10 5877 days 26%
Yvonne German 9/10 5880 days 25%
DebbieM 5/10 5894 days 20%
mj111 10/10 5894 days 26%
Susann Koschmeider 10/10 5929 days 26%
X Otte 10/10 5933 days 26%
Hans Hoff 10/10 5933 days 26%
Solveig Mosinski 10/10 5937 days 26%
Val and Barnie Weir 10/10 5948 days 26%
Wim Put 9/10 5951 days 25%
discerner 10/10 5955 days 26%
Phillip Reade 10/10 5955 days 26%
Tim Beuzeval 9/10 5955 days 25%
barp 9/10 5986 days 25%
Becky Fairweather 10/10 6139 days 26%
David 10/10 6169 days 26%
martinat 10/10 6169 days 26%
Mike 9/10 6178 days 25%
MichaelS1 9/10 6185 days 25%
StefanieGermany 9/10 6186 days 25%
Veronika 9/10 6188 days 25%
Ralph Boese 7/10 6189 days 24%
ToyalFrance 9/10 6189 days 25%
ReneeA 9/10 6217 days 25%
Lorna 8/10 6218 days 25%
Bruce 10/10 6219 days 26%
Sandra 10/10 6226 days 26%
Heidi 7/10 6233 days 24%
Philipp 9/10 6233 days 25%
Simon 9/10 6235 days 25%
Kathryn 8/10 6236 days 25%
Barbara 9/10 6241 days 25%
Joachim 10/10 6241 days 26%
Ans 7/10 6242 days 24%
Minder 10/10 6243 days 26%
Evi 7/10 6274 days 24%
Ann Maree 9/10 6277 days 25%
Trine 9/10 6287 days 25%
Carina Korn 10/10 6384 days 26%
Christian 7/10 6384 days 24%
Nick 10/10 6387 days 26%
Terri Scott 7/10 6404 days 24%
Alan Bellerby 10/10 6555 days 26%
Robert 4/10 6561 days 17%
Elise 10/10 6561 days 26%
Fung 8/10 6561 days 25%
Peter Aston 9/10 6561 days 25%
Tony Wicks 8/10 6566 days 25%
Sue 8/10 6573 days 25%
Carla 9/10 6581 days 25%
Melissa Steedman 9/10 6608 days 25%
Vanessa Brennan 7/10 6608 days 24%
Tim 9/10 6609 days 25%
Mary 10/10 6659 days 26%
Agnes 9/10 6875 days 25%
Cohen 9/10 6895 days 25%
John 8/10 6899 days 25%
SueLinsk 9/10 6899 days 25%
Frauke 7/10 6941 days 24%

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

-4.14% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 53 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 -4.08%
198 -4.10%
199 -4.12%
200 -4.14%
201 -4.16%
202 -4.19%
203 -4.21%

Balancing Adjustment

1.73% 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.