Ranking Score Explained

Hey, 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 2320 days 100%
Amanda Walden 10/10 3203 days 57%
Monique Pos 9/10 3293 days 52%
Alison Egan-Jones 9/10 3323 days 50%
Sylvain Schiber 9/10 3324 days 50%
Sylvain Chanton 10/10 3329 days 50%
Julian Gury 8/10 3337 days 49%
R. Damen 9/10 3354 days 49%
Michelle Smit 10/10 3415 days 46%
Gesa Roemer 8/10 3545 days 39%
Anais Roux 10/10 3550 days 40%
Luca Staudt 8/10 3569 days 38%
Florian Bisault 7/10 3570 days 36%
Anna Jungclaus 9/10 3577 days 38%
Signe Broedbaek 7/10 3579 days 35%
Petra Fragner 10/10 3585 days 38%
Koehler Ute 10/10 3597 days 37%
Niclas Ullno 8/10 3600 days 36%
Tamara 7/10 3601 days 34%
Chloe Guerillot 9/10 3611 days 36%
Luisa and Hannes 9/10 3624 days 36%
elena salimzhanova 10/10 3628 days 36%
Jakub Trojanek 8/10 3639 days 34%
Malina 10/10 3645 days 35%
Emma Keegan 7/10 3903 days 21%
Emilie Normand 7/10 3974 days 17%
Christopher Buch Madsen 8/10 4295 days 3%
Phil Bromby 9/10 4297 days 3%
Tobias Thull 7/10 4303 days 2%
Rita Hochstiasser 8/10 4325 days 1%
Nelle Dutilleur 10/10 4346 days 0%
Mathias Butterlin 8/10 4346 days 0%
Daryl 8/10 4354 days 0%
Bert Pubeg 9/10 4420 days 24%
Alex 8/10 4724 days 23%
Lucie 9/10 4760 days 24%
Henzen 9/10 4764 days 24%
Roy Barton 9/10 5027 days 24%
Brian Livesey 9/10 5035 days 24%
Merlyn 8/10 5043 days 23%
Beyeler 10/10 5047 days 24%
Ralf Glaser 7/10 5047 days 22%
Suzanne van Kol 8/10 5052 days 23%
kiwifrenchy 10/10 5059 days 24%
_mel_ 9/10 5090 days 24%
C 10/10 5090 days 24%
Sarah and Soren 10/10 5127 days 24%
Erik Folkersen 10/10 5135 days 24%
Rudlinger 10/10 5138 days 24%
GenH 10/10 5365 days 24%
R Tearle 10/10 5374 days 24%
Franzi & Tobi 10/10 5376 days 24%
Nathalie 10/10 5380 days 24%
Ven 9/10 5382 days 24%
Jerven and Kim 10/10 5389 days 24%
Sarah Luijckx 1/10 5391 days 9%
Alan Jeffery 7/10 5392 days 22%
Birgette Weiner 9/10 5410 days 24%
Tim Van Nispen 9/10 5412 days 24%
Bottcher 10/10 5412 days 24%
Sue & Graham Mullin 10/10 5419 days 24%
John Simpson 9/10 5421 days 24%
Karen Phillips 9/10 5421 days 24%
Michelle Booty 8/10 5423 days 23%
Nadia Husain 7/10 5424 days 22%
Dietmar Gans 10/10 5730 days 24%
Matt Roper 10/10 5752 days 24%
Chris Glasg 10/10 5769 days 24%
Jamie Hallifax 9/10 5780 days 24%
Paul Ritchie 10/10 5784 days 24%
Gerry Donoghue 10/10 5803 days 24%
Yvonne German 9/10 5806 days 24%
DebbieM 5/10 5820 days 18%
mj111 10/10 5820 days 24%
Susann Koschmeider 10/10 5855 days 24%
X Otte 10/10 5859 days 24%
Hans Hoff 10/10 5859 days 24%
Solveig Mosinski 10/10 5863 days 24%
Val and Barnie Weir 10/10 5874 days 24%
Wim Put 9/10 5877 days 24%
discerner 10/10 5881 days 24%
Phillip Reade 10/10 5881 days 24%
Tim Beuzeval 9/10 5881 days 24%
barp 9/10 5912 days 24%
Becky Fairweather 10/10 6064 days 24%
David 10/10 6095 days 24%
martinat 10/10 6095 days 24%
Mike 9/10 6104 days 24%
MichaelS1 9/10 6111 days 24%
StefanieGermany 9/10 6112 days 24%
Veronika 9/10 6114 days 24%
Ralph Boese 7/10 6115 days 22%
ToyalFrance 9/10 6115 days 24%
ReneeA 9/10 6143 days 24%
Lorna 8/10 6144 days 23%
Bruce 10/10 6145 days 24%
Sandra 10/10 6152 days 24%
Heidi 7/10 6159 days 22%
Philipp 9/10 6159 days 24%
Simon 9/10 6161 days 24%
Kathryn 8/10 6162 days 23%
Barbara 9/10 6167 days 24%
Joachim 10/10 6167 days 24%
Ans 7/10 6168 days 22%
Minder 10/10 6169 days 24%
Evi 7/10 6200 days 22%
Ann Maree 9/10 6203 days 24%
Trine 9/10 6213 days 24%
Carina Korn 10/10 6310 days 24%
Christian 7/10 6310 days 22%
Nick 10/10 6313 days 24%
Terri Scott 7/10 6330 days 22%
Alan Bellerby 10/10 6481 days 24%
Robert 4/10 6487 days 15%
Elise 10/10 6487 days 24%
Fung 8/10 6487 days 23%
Peter Aston 9/10 6487 days 24%
Tony Wicks 8/10 6492 days 23%
Sue 8/10 6499 days 23%
Carla 9/10 6507 days 24%
Melissa Steedman 9/10 6534 days 24%
Vanessa Brennan 7/10 6534 days 22%
Tim 9/10 6535 days 24%
Mary 10/10 6585 days 24%
Agnes 9/10 6800 days 24%
Cohen 9/10 6820 days 24%
John 8/10 6824 days 23%
SueLinsk 9/10 6824 days 24%
Frauke 7/10 6867 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.