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

89.35%

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 1969 days 100%
Amanda Walden 10/10 2852 days 63%
Monique Pos 9/10 2942 days 59%
Alison Egan-Jones 9/10 2972 days 58%
Sylvain Schiber 9/10 2972 days 58%
Sylvain Chanton 10/10 2977 days 58%
Julian Gury 8/10 2985 days 57%
R. Damen 9/10 3003 days 56%
Michelle Smit 10/10 3064 days 54%
Gesa Roemer 8/10 3193 days 48%
Anais Roux 10/10 3198 days 49%
Luca Staudt 8/10 3217 days 47%
Florian Bisault 7/10 3218 days 45%
Anna Jungclaus 9/10 3225 days 47%
Signe Broedbaek 7/10 3227 days 44%
Petra Fragner 10/10 3233 days 47%
Koehler Ute 10/10 3246 days 47%
Niclas Ullno 8/10 3248 days 46%
Tamara 7/10 3249 days 43%
Chloe Guerillot 9/10 3259 days 46%
Luisa and Hannes 9/10 3272 days 45%
elena salimzhanova 10/10 3277 days 46%
Jakub Trojanek 8/10 3287 days 44%
Malina 10/10 3293 days 45%
Emma Keegan 7/10 3552 days 32%
Emilie Normand 7/10 3622 days 29%
Christopher Buch Madsen 8/10 3943 days 17%
Phil Bromby 9/10 3945 days 18%
Tobias Thull 7/10 3951 days 16%
Rita Hochstiasser 8/10 3973 days 16%
Nelle Dutilleur 10/10 3994 days 16%
Mathias Butterlin 8/10 3994 days 15%
Daryl 8/10 4002 days 15%
Bert Pubeg 9/10 4068 days 13%
Alex 8/10 4372 days 0%
Lucie 9/10 4408 days 21%
Henzen 9/10 4412 days 21%
Roy Barton 9/10 4675 days 21%
Brian Livesey 9/10 4683 days 21%
Merlyn 8/10 4691 days 21%
Beyeler 10/10 4695 days 21%
Ralf Glaser 7/10 4695 days 19%
Suzanne van Kol 8/10 4700 days 21%
kiwifrenchy 10/10 4707 days 21%
_mel_ 9/10 4738 days 21%
C 10/10 4738 days 21%
Sarah and Soren 10/10 4775 days 21%
Erik Folkersen 10/10 4783 days 21%
Rudlinger 10/10 4786 days 21%
GenH 10/10 5013 days 21%
R Tearle 10/10 5022 days 21%
Franzi & Tobi 10/10 5024 days 21%
Nathalie 10/10 5028 days 21%
Ven 9/10 5030 days 21%
Jerven and Kim 10/10 5037 days 21%
Sarah Luijckx 1/10 5039 days 8%
Alan Jeffery 7/10 5040 days 19%
Birgette Weiner 9/10 5058 days 21%
Tim Van Nispen 9/10 5060 days 21%
Bottcher 10/10 5060 days 21%
Sue & Graham Mullin 10/10 5067 days 21%
John Simpson 9/10 5069 days 21%
Karen Phillips 9/10 5069 days 21%
Michelle Booty 8/10 5071 days 21%
Nadia Husain 7/10 5072 days 19%
Dietmar Gans 10/10 5378 days 21%
Matt Roper 10/10 5400 days 21%
Chris Glasg 10/10 5417 days 21%
Jamie Hallifax 9/10 5428 days 21%
Paul Ritchie 10/10 5432 days 21%
Gerry Donoghue 10/10 5451 days 21%
Yvonne German 9/10 5454 days 21%
DebbieM 5/10 5468 days 16%
mj111 10/10 5468 days 21%
Susann Koschmeider 10/10 5503 days 21%
X Otte 10/10 5507 days 21%
Hans Hoff 10/10 5507 days 21%
Solveig Mosinski 10/10 5511 days 21%
Val and Barnie Weir 10/10 5522 days 21%
Wim Put 9/10 5525 days 21%
discerner 10/10 5529 days 21%
Phillip Reade 10/10 5529 days 21%
Tim Beuzeval 9/10 5529 days 21%
barp 9/10 5560 days 21%
Becky Fairweather 10/10 5713 days 21%
David 10/10 5743 days 21%
martinat 10/10 5743 days 21%
Mike 9/10 5753 days 21%
MichaelS1 9/10 5759 days 21%
StefanieGermany 9/10 5761 days 21%
Veronika 9/10 5763 days 21%
Ralph Boese 7/10 5763 days 19%
ToyalFrance 9/10 5763 days 21%
ReneeA 9/10 5791 days 21%
Lorna 8/10 5793 days 21%
Bruce 10/10 5794 days 21%
Sandra 10/10 5801 days 21%
Heidi 7/10 5808 days 19%
Philipp 9/10 5808 days 21%
Simon 9/10 5810 days 21%
Kathryn 8/10 5811 days 21%
Barbara 9/10 5816 days 21%
Joachim 10/10 5816 days 21%
Ans 7/10 5817 days 19%
Minder 10/10 5818 days 21%
Evi 7/10 5849 days 19%
Ann Maree 9/10 5852 days 21%
Trine 9/10 5862 days 21%
Carina Korn 10/10 5959 days 21%
Christian 7/10 5959 days 19%
Nick 10/10 5962 days 21%
Terri Scott 7/10 5979 days 19%
Alan Bellerby 10/10 6129 days 21%
Robert 4/10 6135 days 14%
Elise 10/10 6135 days 21%
Fung 8/10 6135 days 21%
Peter Aston 9/10 6135 days 21%
Tony Wicks 8/10 6140 days 21%
Sue 8/10 6147 days 21%
Carla 9/10 6155 days 21%
Melissa Steedman 9/10 6182 days 21%
Vanessa Brennan 7/10 6182 days 19%
Tim 9/10 6183 days 21%
Mary 10/10 6233 days 21%
Agnes 9/10 6449 days 21%
Cohen 9/10 6469 days 21%
John 8/10 6473 days 21%
SueLinsk 9/10 6473 days 21%
Frauke 7/10 6515 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

-4.04% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 41 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 -3.97%
198 -3.99%
199 -4.02%
200 -4.04%
201 -4.06%
202 -4.08%
203 -4.10%

Balancing Adjustment

1.76% 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.