Hi, 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.

CC
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

81.46%

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 2711 days 100%
Jeff Greenstreet 9/10 2745 days 98%
Julia Achatz 5/10 2989 days 62%
Daniela Hintermayr 5/10 3003 days 62%
Thomas Simeon 8/10 3043 days 78%
Kallan Mrozek 8/10 3045 days 78%
Tim 7/10 3055 days 73%
Jendrik 7/10 3055 days 73%
John Edwards 8/10 3062 days 77%
Julia 9/10 3309 days 62%
Benedikt Hang 7/10 3317 days 58%
Leon Grummer 8/10 3329 days 60%
Chris Cullen 8/10 3334 days 60%
Johannes Koch 9/10 3338 days 60%
Gerardo Furtado 10/10 3341 days 61%
Gabriela Cardoso 10/10 3341 days 61%
Chiara 9/10 3343 days 60%
Irene Marvelli 7/10 3350 days 56%
Mark White 3/10 3350 days 31%
Mikkel Pallesen 6/10 3364 days 51%
Maxima Buisan 6/10 3365 days 50%
Florian Mueller 8/10 3369 days 58%
Vincent 5/10 3370 days 44%
Tatiana 10/10 3380 days 58%
Christian Boudreau 9/10 3397 days 57%
Maria Ulitzsch 6/10 3765 days 29%
Leonie Moeller 6/10 4033 days 14%
Wolfgang and Christine 8/10 4042 days 16%
Agathe Dupuis 9/10 4052 days 16%
Sarah 8/10 4063 days 15%
Serena Poggioli 8/10 4078 days 14%
Adrien Godeloup 7/10 4112 days 11%
hendrik king 9/10 4298 days 0%
Chantal Mortel 7/10 4425 days 25%
Maxime 8/10 4432 days 27%
Sebastian and Peter Beate 10/10 4443 days 27%
Timo Maschke 10/10 4501 days 27%
Jackie and Brian 7/10 4502 days 25%
Alexandra van den Brack 8/10 4507 days 27%
Benedicte and Mathilde Colas 8/10 4513 days 27%
a a 9/10 4601 days 27%
Virgil Anabel 9/10 4781 days 27%
Mike Breele 8/10 4785 days 27%
Barry Baily 9/10 4798 days 27%
Lucie Rutherfurd 9/10 4812 days 27%
Lotte Foged 9/10 4812 days 27%
Nina Bille-Knudsen 9/10 4885 days 27%
Jack van den Nieuwendyk 8/10 4887 days 27%
Gema 8/10 5134 days 27%
Barry Digby 1/10 5138 days 8%
Fam de Kruyf 8/10 5148 days 27%
Jon_and_Family 9/10 5151 days 27%
Isabel & Tillmann 7/10 5154 days 25%
Stephen Leitch 8/10 5172 days 27%
Richardr1 10/10 5434 days 27%
Marcio Moretti 9/10 5526 days 27%
Fred Briggs 9/10 5539 days 27%
John Bost 8/10 5539 days 27%
willemrn 7/10 5591 days 25%
catdonjaime 10/10 5599 days 27%
Arran J 10/10 5606 days 27%
Anne Ford 9/10 5608 days 27%
David D S 10/10 5614 days 27%
Roman Hauri 8/10 5618 days 27%
Gensen 7/10 5632 days 25%
Suzanne 8/10 5667 days 27%
rita 8/10 5715 days 27%
arthurw 10/10 5723 days 27%
miniappleses 9/10 5728 days 27%
dieteru 5/10 5850 days 20%
LuukKarin 8/10 5852 days 27%
BrunoG 9/10 5868 days 27%
Pat 8/10 5873 days 27%
GH_Herrebrugh 9/10 5890 days 27%
EelcoK 9/10 5892 days 27%
Valerie 9/10 5893 days 27%
Christopher Gallaga 1/10 5906 days 8%
Bert 9/10 5914 days 27%
Ben 10/10 6024 days 27%
Michelle 9/10 6024 days 27%
Terneal King 8/10 6088 days 27%
Thomas Bachmann 9/10 6098 days 27%
Carmen 10/10 6102 days 27%
sasssy 10/10 6124 days 27%
Salome 7/10 6158 days 25%
Annie 9/10 6220 days 27%
Leanne Priestley 10/10 6221 days 27%
Anna 8/10 6227 days 27%
Thibault 9/10 6229 days 27%
Denise 10/10 6233 days 27%
Liz 9/10 6233 days 27%
Yayami Kimura 10/10 6233 days 27%
Tom 8/10 6234 days 27%
Sanne Jonker 7/10 6237 days 25%
Corina 9/10 6241 days 27%
Klaus 9/10 6241 days 27%
Tina Daly 8/10 6242 days 27%
Jo and Tony 9/10 6242 days 27%
Smith 7/10 6243 days 25%
Trinkler 9/10 6243 days 27%
Roger Repolusk 8/10 6247 days 27%
Carmen Dolny 10/10 6251 days 27%
Robert and Carol Rodgers 10/10 6255 days 27%
Roger and Heather Smith 7/10 6255 days 25%
Katharina 8/10 6262 days 27%
Jim Curley 10/10 6262 days 27%
Reina Lohaye 7/10 6265 days 25%
Tim 5/10 6290 days 20%
Mum! 8/10 6292 days 27%
Nathalie Meunier 9/10 6293 days 27%
Heike Julia 8/10 6297 days 27%
Andrew Porter 9/10 6298 days 27%
Kay 7/10 6321 days 25%
Ann Westmacott 8/10 6324 days 27%
Abbey 8/10 6334 days 27%
Samuel Brejeon 7/10 6335 days 25%
Tom Clements 7/10 6340 days 25%
Christin 6/10 6340 days 23%
Elaine 10/10 6571 days 27%
Yuki 9/10 6574 days 27%
Paola 7/10 6591 days 25%
Delgroot 9/10 6608 days 27%
Arjan 7/10 6611 days 25%
Lucy 8/10 6613 days 27%
delgroot 8/10 6615 days 27%
Frauke 7/10 6622 days 25%
Bernt 6/10 6622 days 23%
purplekat99 10/10 6640 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

-3.63% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 62 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 -3.57%
198 -3.59%
199 -3.61%
200 -3.63%
201 -3.64%
202 -3.66%
203 -3.68%

Balancing Adjustment

3.64% 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.