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.

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

82.16%

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 3181 days 100%
Jeff Greenstreet 9/10 3214 days 97%
Julia Achatz 5/10 3459 days 54%
Daniela Hintermayr 5/10 3473 days 53%
Thomas Simeon 8/10 3513 days 68%
Kallan Mrozek 8/10 3515 days 68%
Tim 7/10 3525 days 63%
Jendrik 7/10 3525 days 63%
John Edwards 8/10 3532 days 66%
Julia 9/10 3779 days 44%
Benedikt Hang 7/10 3787 days 40%
Leon Grummer 8/10 3799 days 42%
Chris Cullen 8/10 3804 days 41%
Johannes Koch 9/10 3808 days 42%
Gerardo Furtado 10/10 3811 days 42%
Gabriela Cardoso 10/10 3811 days 42%
Chiara 9/10 3813 days 41%
Irene Marvelli 7/10 3820 days 37%
Mark White 3/10 3820 days 17%
Mikkel Pallesen 6/10 3834 days 33%
Maxima Buisan 6/10 3835 days 32%
Florian Mueller 8/10 3839 days 38%
Vincent 5/10 3840 days 27%
Tatiana 10/10 3850 days 38%
Christian Boudreau 9/10 3867 days 36%
Maria Ulitzsch 6/10 4235 days 0%
Leonie Moeller 6/10 4503 days 30%
Wolfgang and Christine 8/10 4512 days 35%
Agathe Dupuis 9/10 4522 days 36%
Sarah 8/10 4533 days 35%
Serena Poggioli 8/10 4548 days 35%
Adrien Godeloup 7/10 4582 days 33%
hendrik king 9/10 4768 days 36%
Chantal Mortel 7/10 4895 days 33%
Maxime 8/10 4902 days 35%
Sebastian and Peter Beate 10/10 4913 days 36%
Timo Maschke 10/10 4971 days 36%
Jackie and Brian 7/10 4972 days 33%
Alexandra van den Brack 8/10 4977 days 35%
Benedicte and Mathilde Colas 8/10 4983 days 35%
a a 9/10 5071 days 36%
Virgil Anabel 9/10 5251 days 36%
Mike Breele 8/10 5255 days 35%
Barry Baily 9/10 5268 days 36%
Lucie Rutherfurd 9/10 5282 days 36%
Lotte Foged 9/10 5282 days 36%
Nina Bille-Knudsen 9/10 5355 days 36%
Jack van den Nieuwendyk 8/10 5357 days 35%
Gema 8/10 5604 days 35%
Barry Digby 1/10 5608 days 8%
Fam de Kruyf 8/10 5618 days 35%
Jon_and_Family 9/10 5621 days 36%
Isabel & Tillmann 7/10 5624 days 33%
Stephen Leitch 8/10 5642 days 35%
Richardr1 10/10 5904 days 36%
Marcio Moretti 9/10 5996 days 36%
Fred Briggs 9/10 6009 days 36%
John Bost 8/10 6009 days 35%
willemrn 7/10 6061 days 33%
catdonjaime 10/10 6069 days 36%
Arran J 10/10 6076 days 36%
Anne Ford 9/10 6078 days 36%
David D S 10/10 6084 days 36%
Roman Hauri 8/10 6088 days 35%
Gensen 7/10 6102 days 33%
Suzanne 8/10 6137 days 35%
rita 8/10 6185 days 35%
arthurw 10/10 6193 days 36%
miniappleses 9/10 6198 days 36%
dieteru 5/10 6320 days 25%
LuukKarin 8/10 6322 days 35%
BrunoG 9/10 6338 days 36%
Pat 8/10 6343 days 35%
GH_Herrebrugh 9/10 6360 days 36%
EelcoK 9/10 6362 days 36%
Valerie 9/10 6363 days 36%
Christopher Gallaga 1/10 6376 days 8%
Bert 9/10 6384 days 36%
Ben 10/10 6494 days 36%
Michelle 9/10 6494 days 36%
Terneal King 8/10 6558 days 35%
Thomas Bachmann 9/10 6568 days 36%
Carmen 10/10 6572 days 36%
sasssy 10/10 6594 days 36%
Salome 7/10 6628 days 33%
Annie 9/10 6690 days 36%
Leanne Priestley 10/10 6691 days 36%
Anna 8/10 6697 days 35%
Thibault 9/10 6699 days 36%
Denise 10/10 6703 days 36%
Liz 9/10 6703 days 36%
Yayami Kimura 10/10 6703 days 36%
Tom 8/10 6704 days 35%
Sanne Jonker 7/10 6707 days 33%
Corina 9/10 6711 days 36%
Klaus 9/10 6711 days 36%
Tina Daly 8/10 6712 days 35%
Jo and Tony 9/10 6712 days 36%
Smith 7/10 6713 days 33%
Trinkler 9/10 6713 days 36%
Roger Repolusk 8/10 6717 days 35%
Carmen Dolny 10/10 6721 days 36%
Robert and Carol Rodgers 10/10 6725 days 36%
Roger and Heather Smith 7/10 6725 days 33%
Katharina 8/10 6732 days 35%
Jim Curley 10/10 6732 days 36%
Reina Lohaye 7/10 6735 days 33%
Tim 5/10 6760 days 25%
Mum! 8/10 6762 days 35%
Nathalie Meunier 9/10 6763 days 36%
Heike Julia 8/10 6767 days 35%
Andrew Porter 9/10 6768 days 36%
Kay 7/10 6791 days 33%
Ann Westmacott 8/10 6794 days 35%
Abbey 8/10 6804 days 35%
Samuel Brejeon 7/10 6805 days 33%
Tom Clements 7/10 6810 days 33%
Christin 6/10 6810 days 30%
Elaine 10/10 7041 days 36%
Yuki 9/10 7044 days 36%
Paola 7/10 7061 days 33%
Delgroot 9/10 7078 days 36%
Arjan 7/10 7081 days 33%
Lucy 8/10 7083 days 35%
delgroot 8/10 7085 days 35%
Frauke 7/10 7092 days 33%
Bernt 6/10 7092 days 30%
purplekat99 10/10 7110 days 36%

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

-2.02% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 125 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 -1.99%
198 -2.00%
199 -2.01%
200 -2.02%
201 -2.03%
202 -2.04%
203 -2.05%

Balancing Adjustment

2.96% 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

83%

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.