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 Auckland Museum.

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.

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Cymen Crick's avatar

Cymen Crick

Rankers Owner

Auckland Museum

Valid Reviews

128 Valid Reviews

The Auckland Museum experience has a total of 128 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 128 valid reviews:

Rating Count Percentage
10/10 21
16%
9/10 37
29%
8/10 35
27%
7/10 21
16%
6/10 6
5%
5/10 5
4%
4/10 0
0%
3/10 1
1%
2/10 0
0%
1/10 2
2%

80.94% Average

The raw data average (mean) for all the Auckland Museum valid reviews is 80.94% and is based on 128 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

116 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 128 valid reviews, the experience has 116 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 116 face-to-face reviews:

Rating Count Percentage
10/10 18
16%
9/10 32
28%
8/10 32
28%
7/10 21
18%
6/10 6
5%
5/10 5
4%
4/10 0
0%
3/10 1
1%
2/10 0
0%
1/10 1
1%

80.69% Average

The raw data average (mean) for all the Auckland Museum face-to-face reviews is 80.69% and is based on 116 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.

Weighted Average

81.45%

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
Daniel Faasser 9/10 2704 days 100%
Jeff Greenstreet 9/10 2737 days 98%
Julia Achatz 5/10 2982 days 62%
Daniela Hintermayr 5/10 2996 days 62%
Thomas Simeon 8/10 3036 days 78%
Kallan Mrozek 8/10 3038 days 78%
Tim 7/10 3048 days 73%
Jendrik 7/10 3048 days 73%
John Edwards 8/10 3055 days 77%
Julia 9/10 3302 days 62%
Benedikt Hang 7/10 3310 days 58%
Leon Grummer 8/10 3322 days 60%
Chris Cullen 8/10 3327 days 60%
Johannes Koch 9/10 3331 days 60%
Gerardo Furtado 10/10 3334 days 61%
Gabriela Cardoso 10/10 3334 days 61%
Chiara 9/10 3336 days 60%
Irene Marvelli 7/10 3343 days 56%
Mark White 3/10 3343 days 30%
Mikkel Pallesen 6/10 3357 days 50%
Maxima Buisan 6/10 3358 days 50%
Florian Mueller 8/10 3362 days 58%
Vincent 5/10 3363 days 44%
Tatiana 10/10 3373 days 58%
Christian Boudreau 9/10 3390 days 57%
Maria Ulitzsch 6/10 3758 days 28%
Leonie Moeller 6/10 4026 days 14%
Wolfgang and Christine 8/10 4035 days 16%
Agathe Dupuis 9/10 4045 days 16%
Sarah 8/10 4056 days 15%
Serena Poggioli 8/10 4071 days 14%
Adrien Godeloup 7/10 4105 days 11%
hendrik king 9/10 4291 days 0%
Chantal Mortel 7/10 4418 days 25%
Maxime 8/10 4425 days 26%
Sebastian and Peter Beate 10/10 4436 days 27%
Timo Maschke 10/10 4494 days 27%
Jackie and Brian 7/10 4495 days 25%
Alexandra van den Brack 8/10 4500 days 26%
Benedicte and Mathilde Colas 8/10 4506 days 26%
a a 9/10 4594 days 27%
Virgil Anabel 9/10 4774 days 27%
Mike Breele 8/10 4778 days 26%
Barry Baily 9/10 4791 days 27%
Lucie Rutherfurd 9/10 4805 days 27%
Lotte Foged 9/10 4805 days 27%
Nina Bille-Knudsen 9/10 4878 days 27%
Jack van den Nieuwendyk 8/10 4880 days 26%
Gema 8/10 5127 days 26%
Barry Digby 1/10 5131 days 8%
Fam de Kruyf 8/10 5141 days 26%
Jon_and_Family 9/10 5144 days 27%
Isabel & Tillmann 7/10 5147 days 25%
Stephen Leitch 8/10 5165 days 26%
Richardr1 10/10 5427 days 27%
Marcio Moretti 9/10 5519 days 27%
Fred Briggs 9/10 5532 days 27%
John Bost 8/10 5532 days 26%
willemrn 7/10 5584 days 25%
catdonjaime 10/10 5592 days 27%
Arran J 10/10 5599 days 27%
Anne Ford 9/10 5601 days 27%
David D S 10/10 5607 days 27%
Roman Hauri 8/10 5611 days 26%
Gensen 7/10 5625 days 25%
Suzanne 8/10 5660 days 26%
rita 8/10 5708 days 26%
arthurw 10/10 5716 days 27%
miniappleses 9/10 5721 days 27%
dieteru 5/10 5843 days 19%
LuukKarin 8/10 5845 days 26%
BrunoG 9/10 5861 days 27%
Pat 8/10 5866 days 26%
GH_Herrebrugh 9/10 5883 days 27%
EelcoK 9/10 5885 days 27%
Valerie 9/10 5886 days 27%
Christopher Gallaga 1/10 5899 days 8%
Bert 9/10 5907 days 27%
Ben 10/10 6017 days 27%
Michelle 9/10 6017 days 27%
Terneal King 8/10 6081 days 26%
Thomas Bachmann 9/10 6091 days 27%
Carmen 10/10 6095 days 27%
sasssy 10/10 6117 days 27%
Salome 7/10 6151 days 25%
Annie 9/10 6213 days 27%
Leanne Priestley 10/10 6214 days 27%
Anna 8/10 6220 days 26%
Thibault 9/10 6222 days 27%
Denise 10/10 6226 days 27%
Liz 9/10 6226 days 27%
Yayami Kimura 10/10 6226 days 27%
Tom 8/10 6227 days 26%
Sanne Jonker 7/10 6230 days 25%
Corina 9/10 6234 days 27%
Klaus 9/10 6234 days 27%
Tina Daly 8/10 6235 days 26%
Jo and Tony 9/10 6235 days 27%
Smith 7/10 6236 days 25%
Trinkler 9/10 6236 days 27%
Roger Repolusk 8/10 6240 days 26%
Carmen Dolny 10/10 6244 days 27%
Robert and Carol Rodgers 10/10 6248 days 27%
Roger and Heather Smith 7/10 6248 days 25%
Katharina 8/10 6255 days 26%
Jim Curley 10/10 6255 days 27%
Reina Lohaye 7/10 6258 days 25%
Tim 5/10 6283 days 19%
Mum! 8/10 6285 days 26%
Nathalie Meunier 9/10 6286 days 27%
Heike Julia 8/10 6290 days 26%
Andrew Porter 9/10 6291 days 27%
Kay 7/10 6314 days 25%
Ann Westmacott 8/10 6317 days 26%
Abbey 8/10 6327 days 26%
Samuel Brejeon 7/10 6328 days 25%
Tom Clements 7/10 6333 days 25%
Christin 6/10 6333 days 22%
Elaine 10/10 6564 days 27%
Yuki 9/10 6567 days 27%
Paola 7/10 6584 days 25%
Delgroot 9/10 6601 days 27%
Arjan 7/10 6604 days 25%
Lucy 8/10 6606 days 26%
delgroot 8/10 6608 days 26%
Frauke 7/10 6615 days 25%
Bernt 6/10 6615 days 22%
purplekat99 10/10 6633 days 27%

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 Auckland Museum experience has plenty of reviews and does not meet the criteria for any adjustment.

Recent Reviews Adjustment

-3.75% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 60 days. However the Auckland Museum 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 Auckland Museum experience has been adjusted for 200 days. Adjustments are according to the following table.

Days Adjustment
197 -3.70%
198 -3.72%
199 -3.74%
200 -3.75%
201 -3.77%
202 -3.79%
203 -3.81%

Balancing Adjustment

3.69% 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

81%

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.