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

89.69%

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 2329 days 100%
Amanda Walden 10/10 3212 days 57%
Monique Pos 9/10 3302 days 52%
Alison Egan-Jones 9/10 3332 days 50%
Sylvain Schiber 9/10 3333 days 50%
Sylvain Chanton 10/10 3338 days 50%
Julian Gury 8/10 3346 days 49%
R. Damen 9/10 3363 days 49%
Michelle Smit 10/10 3424 days 46%
Gesa Roemer 8/10 3554 days 39%
Anais Roux 10/10 3559 days 40%
Luca Staudt 8/10 3578 days 38%
Florian Bisault 7/10 3579 days 36%
Anna Jungclaus 9/10 3586 days 38%
Signe Broedbaek 7/10 3588 days 35%
Petra Fragner 10/10 3594 days 38%
Koehler Ute 10/10 3606 days 37%
Niclas Ullno 8/10 3609 days 36%
Tamara 7/10 3610 days 34%
Chloe Guerillot 9/10 3620 days 36%
Luisa and Hannes 9/10 3633 days 36%
elena salimzhanova 10/10 3637 days 36%
Jakub Trojanek 8/10 3648 days 34%
Malina 10/10 3654 days 35%
Emma Keegan 7/10 3912 days 21%
Emilie Normand 7/10 3983 days 17%
Christopher Buch Madsen 8/10 4304 days 3%
Phil Bromby 9/10 4306 days 3%
Tobias Thull 7/10 4312 days 2%
Rita Hochstiasser 8/10 4334 days 1%
Nelle Dutilleur 10/10 4355 days 0%
Mathias Butterlin 8/10 4355 days 0%
Daryl 8/10 4363 days 0%
Bert Pubeg 9/10 4429 days 24%
Alex 8/10 4733 days 24%
Lucie 9/10 4769 days 24%
Henzen 9/10 4773 days 24%
Roy Barton 9/10 5036 days 24%
Brian Livesey 9/10 5044 days 24%
Merlyn 8/10 5052 days 24%
Beyeler 10/10 5056 days 24%
Ralf Glaser 7/10 5056 days 23%
Suzanne van Kol 8/10 5061 days 24%
kiwifrenchy 10/10 5068 days 24%
_mel_ 9/10 5099 days 24%
C 10/10 5099 days 24%
Sarah and Soren 10/10 5136 days 24%
Erik Folkersen 10/10 5144 days 24%
Rudlinger 10/10 5147 days 24%
GenH 10/10 5374 days 24%
R Tearle 10/10 5383 days 24%
Franzi & Tobi 10/10 5385 days 24%
Nathalie 10/10 5389 days 24%
Ven 9/10 5391 days 24%
Jerven and Kim 10/10 5398 days 24%
Sarah Luijckx 1/10 5400 days 9%
Alan Jeffery 7/10 5401 days 23%
Birgette Weiner 9/10 5419 days 24%
Tim Van Nispen 9/10 5421 days 24%
Bottcher 10/10 5421 days 24%
Sue & Graham Mullin 10/10 5428 days 24%
John Simpson 9/10 5430 days 24%
Karen Phillips 9/10 5430 days 24%
Michelle Booty 8/10 5432 days 24%
Nadia Husain 7/10 5433 days 23%
Dietmar Gans 10/10 5739 days 24%
Matt Roper 10/10 5761 days 24%
Chris Glasg 10/10 5778 days 24%
Jamie Hallifax 9/10 5789 days 24%
Paul Ritchie 10/10 5793 days 24%
Gerry Donoghue 10/10 5812 days 24%
Yvonne German 9/10 5815 days 24%
DebbieM 5/10 5829 days 18%
mj111 10/10 5829 days 24%
Susann Koschmeider 10/10 5864 days 24%
X Otte 10/10 5868 days 24%
Hans Hoff 10/10 5868 days 24%
Solveig Mosinski 10/10 5872 days 24%
Val and Barnie Weir 10/10 5883 days 24%
Wim Put 9/10 5886 days 24%
discerner 10/10 5890 days 24%
Phillip Reade 10/10 5890 days 24%
Tim Beuzeval 9/10 5890 days 24%
barp 9/10 5921 days 24%
Becky Fairweather 10/10 6074 days 24%
David 10/10 6104 days 24%
martinat 10/10 6104 days 24%
Mike 9/10 6113 days 24%
MichaelS1 9/10 6120 days 24%
StefanieGermany 9/10 6121 days 24%
Veronika 9/10 6123 days 24%
Ralph Boese 7/10 6124 days 23%
ToyalFrance 9/10 6124 days 24%
ReneeA 9/10 6152 days 24%
Lorna 8/10 6153 days 24%
Bruce 10/10 6154 days 24%
Sandra 10/10 6161 days 24%
Heidi 7/10 6168 days 23%
Philipp 9/10 6168 days 24%
Simon 9/10 6170 days 24%
Kathryn 8/10 6171 days 24%
Barbara 9/10 6176 days 24%
Joachim 10/10 6176 days 24%
Ans 7/10 6177 days 23%
Minder 10/10 6178 days 24%
Evi 7/10 6209 days 23%
Ann Maree 9/10 6212 days 24%
Trine 9/10 6222 days 24%
Carina Korn 10/10 6320 days 24%
Christian 7/10 6320 days 23%
Nick 10/10 6322 days 24%
Terri Scott 7/10 6339 days 23%
Alan Bellerby 10/10 6490 days 24%
Robert 4/10 6496 days 16%
Elise 10/10 6496 days 24%
Fung 8/10 6496 days 24%
Peter Aston 9/10 6496 days 24%
Tony Wicks 8/10 6501 days 24%
Sue 8/10 6508 days 24%
Carla 9/10 6516 days 24%
Melissa Steedman 9/10 6543 days 24%
Vanessa Brennan 7/10 6543 days 23%
Tim 9/10 6544 days 24%
Mary 10/10 6594 days 24%
Agnes 9/10 6810 days 24%
Cohen 9/10 6830 days 24%
John 8/10 6834 days 24%
SueLinsk 9/10 6834 days 24%
Frauke 7/10 6876 days 23%

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

-4.05% 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 -3.99%
198 -4.01%
199 -4.03%
200 -4.05%
201 -4.07%
202 -4.09%
203 -4.11%

Balancing Adjustment

1.70% 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.