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 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

81.30%

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 2631 days 100%
Jeff Greenstreet 9/10 2665 days 98%
Julia Achatz 5/10 2909 days 64%
Daniela Hintermayr 5/10 2923 days 64%
Thomas Simeon 8/10 2963 days 80%
Kallan Mrozek 8/10 2965 days 80%
Tim 7/10 2975 days 75%
Jendrik 7/10 2975 days 75%
John Edwards 8/10 2982 days 79%
Julia 9/10 3229 days 65%
Benedikt Hang 7/10 3237 days 61%
Leon Grummer 8/10 3249 days 64%
Chris Cullen 8/10 3254 days 63%
Johannes Koch 9/10 3258 days 64%
Gerardo Furtado 10/10 3261 days 64%
Gabriela Cardoso 10/10 3261 days 64%
Chiara 9/10 3263 days 64%
Irene Marvelli 7/10 3270 days 59%
Mark White 3/10 3270 days 34%
Mikkel Pallesen 6/10 3284 days 54%
Maxima Buisan 6/10 3285 days 54%
Florian Mueller 8/10 3289 days 61%
Vincent 5/10 3290 days 47%
Tatiana 10/10 3300 days 62%
Christian Boudreau 9/10 3317 days 60%
Maria Ulitzsch 6/10 3685 days 34%
Leonie Moeller 6/10 3953 days 20%
Wolfgang and Christine 8/10 3962 days 23%
Agathe Dupuis 9/10 3972 days 23%
Sarah 8/10 3983 days 22%
Serena Poggioli 8/10 3998 days 21%
Adrien Godeloup 7/10 4032 days 18%
hendrik king 9/10 4218 days 8%
Chantal Mortel 7/10 4345 days 1%
Maxime 8/10 4352 days 1%
Sebastian and Peter Beate 10/10 4363 days 0%
Timo Maschke 10/10 4421 days 29%
Jackie and Brian 7/10 4422 days 27%
Alexandra van den Brack 8/10 4427 days 28%
Benedicte and Mathilde Colas 8/10 4433 days 28%
a a 9/10 4521 days 29%
Virgil Anabel 9/10 4701 days 29%
Mike Breele 8/10 4705 days 28%
Barry Baily 9/10 4718 days 29%
Lucie Rutherfurd 9/10 4732 days 29%
Lotte Foged 9/10 4732 days 29%
Nina Bille-Knudsen 9/10 4805 days 29%
Jack van den Nieuwendyk 8/10 4807 days 28%
Gema 8/10 5054 days 28%
Barry Digby 1/10 5058 days 11%
Fam de Kruyf 8/10 5068 days 28%
Jon_and_Family 9/10 5071 days 29%
Isabel & Tillmann 7/10 5074 days 27%
Stephen Leitch 8/10 5092 days 28%
Richardr1 10/10 5354 days 29%
Marcio Moretti 9/10 5446 days 29%
Fred Briggs 9/10 5459 days 29%
John Bost 8/10 5459 days 28%
willemrn 7/10 5511 days 27%
catdonjaime 10/10 5519 days 29%
Arran J 10/10 5526 days 29%
Anne Ford 9/10 5528 days 29%
David D S 10/10 5534 days 29%
Roman Hauri 8/10 5538 days 28%
Gensen 7/10 5552 days 27%
Suzanne 8/10 5587 days 28%
rita 8/10 5635 days 28%
arthurw 10/10 5643 days 29%
miniappleses 9/10 5648 days 29%
dieteru 5/10 5770 days 22%
LuukKarin 8/10 5772 days 28%
BrunoG 9/10 5788 days 29%
Pat 8/10 5794 days 28%
GH_Herrebrugh 9/10 5810 days 29%
EelcoK 9/10 5812 days 29%
Valerie 9/10 5814 days 29%
Christopher Gallaga 1/10 5827 days 11%
Bert 9/10 5835 days 29%
Ben 10/10 5945 days 29%
Michelle 9/10 5945 days 29%
Terneal King 8/10 6009 days 28%
Thomas Bachmann 9/10 6019 days 29%
Carmen 10/10 6022 days 29%
sasssy 10/10 6044 days 29%
Salome 7/10 6078 days 27%
Annie 9/10 6140 days 29%
Leanne Priestley 10/10 6141 days 29%
Anna 8/10 6147 days 28%
Thibault 9/10 6149 days 29%
Denise 10/10 6153 days 29%
Liz 9/10 6153 days 29%
Yayami Kimura 10/10 6153 days 29%
Tom 8/10 6154 days 28%
Sanne Jonker 7/10 6157 days 27%
Corina 9/10 6161 days 29%
Klaus 9/10 6161 days 29%
Tina Daly 8/10 6162 days 28%
Jo and Tony 9/10 6162 days 29%
Smith 7/10 6163 days 27%
Trinkler 9/10 6163 days 29%
Roger Repolusk 8/10 6167 days 28%
Carmen Dolny 10/10 6171 days 29%
Robert and Carol Rodgers 10/10 6175 days 29%
Roger and Heather Smith 7/10 6175 days 27%
Katharina 8/10 6182 days 28%
Jim Curley 10/10 6182 days 29%
Reina Lohaye 7/10 6185 days 27%
Tim 5/10 6210 days 22%
Mum! 8/10 6212 days 28%
Nathalie Meunier 9/10 6213 days 29%
Heike Julia 8/10 6217 days 28%
Andrew Porter 9/10 6218 days 29%
Kay 7/10 6241 days 27%
Ann Westmacott 8/10 6244 days 28%
Abbey 8/10 6254 days 28%
Samuel Brejeon 7/10 6255 days 27%
Tom Clements 7/10 6260 days 27%
Christin 6/10 6260 days 25%
Elaine 10/10 6491 days 29%
Yuki 9/10 6494 days 29%
Paola 7/10 6511 days 27%
Delgroot 9/10 6528 days 29%
Arjan 7/10 6531 days 27%
Lucy 8/10 6533 days 28%
delgroot 8/10 6535 days 28%
Frauke 7/10 6542 days 27%
Bernt 6/10 6542 days 25%
purplekat99 10/10 6560 days 29%

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

-4.09% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 46 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 -4.03%
198 -4.05%
199 -4.07%
200 -4.09%
201 -4.11%
202 -4.13%
203 -4.15%

Balancing Adjustment

3.85% 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.