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 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

82.07%

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 3049 days 100%
Jeff Greenstreet 9/10 3083 days 97%
Julia Achatz 5/10 3327 days 61%
Daniela Hintermayr 5/10 3341 days 60%
Thomas Simeon 8/10 3381 days 74%
Kallan Mrozek 8/10 3383 days 74%
Tim 7/10 3393 days 70%
Jendrik 7/10 3393 days 70%
John Edwards 8/10 3400 days 73%
Julia 9/10 3647 days 55%
Benedikt Hang 7/10 3655 days 51%
Leon Grummer 8/10 3667 days 53%
Chris Cullen 8/10 3672 days 52%
Johannes Koch 9/10 3676 days 53%
Gerardo Furtado 10/10 3679 days 53%
Gabriela Cardoso 10/10 3679 days 53%
Chiara 9/10 3681 days 52%
Irene Marvelli 7/10 3688 days 49%
Mark White 3/10 3688 days 28%
Mikkel Pallesen 6/10 3702 days 44%
Maxima Buisan 6/10 3703 days 44%
Florian Mueller 8/10 3707 days 50%
Vincent 5/10 3708 days 39%
Tatiana 10/10 3718 days 50%
Christian Boudreau 9/10 3735 days 48%
Maria Ulitzsch 6/10 4103 days 18%
Leonie Moeller 6/10 4371 days 0%
Wolfgang and Christine 8/10 4380 days 38%
Agathe Dupuis 9/10 4390 days 38%
Sarah 8/10 4401 days 38%
Serena Poggioli 8/10 4416 days 38%
Adrien Godeloup 7/10 4450 days 36%
hendrik king 9/10 4636 days 38%
Chantal Mortel 7/10 4763 days 36%
Maxime 8/10 4770 days 38%
Sebastian and Peter Beate 10/10 4781 days 38%
Timo Maschke 10/10 4839 days 38%
Jackie and Brian 7/10 4840 days 36%
Alexandra van den Brack 8/10 4845 days 38%
Benedicte and Mathilde Colas 8/10 4851 days 38%
a a 9/10 4939 days 38%
Virgil Anabel 9/10 5119 days 38%
Mike Breele 8/10 5123 days 38%
Barry Baily 9/10 5136 days 38%
Lucie Rutherfurd 9/10 5150 days 38%
Lotte Foged 9/10 5150 days 38%
Nina Bille-Knudsen 9/10 5223 days 38%
Jack van den Nieuwendyk 8/10 5225 days 38%
Gema 8/10 5472 days 38%
Barry Digby 1/10 5476 days 15%
Fam de Kruyf 8/10 5486 days 38%
Jon_and_Family 9/10 5489 days 38%
Isabel & Tillmann 7/10 5492 days 36%
Stephen Leitch 8/10 5510 days 38%
Richardr1 10/10 5772 days 38%
Marcio Moretti 9/10 5864 days 38%
Fred Briggs 9/10 5877 days 38%
John Bost 8/10 5877 days 38%
willemrn 7/10 5929 days 36%
catdonjaime 10/10 5937 days 38%
Arran J 10/10 5944 days 38%
Anne Ford 9/10 5946 days 38%
David D S 10/10 5952 days 38%
Roman Hauri 8/10 5956 days 38%
Gensen 7/10 5970 days 36%
Suzanne 8/10 6005 days 38%
rita 8/10 6053 days 38%
arthurw 10/10 6061 days 38%
miniappleses 9/10 6066 days 38%
dieteru 5/10 6188 days 29%
LuukKarin 8/10 6190 days 38%
BrunoG 9/10 6206 days 38%
Pat 8/10 6211 days 38%
GH_Herrebrugh 9/10 6228 days 38%
EelcoK 9/10 6230 days 38%
Valerie 9/10 6231 days 38%
Christopher Gallaga 1/10 6244 days 15%
Bert 9/10 6252 days 38%
Ben 10/10 6362 days 38%
Michelle 9/10 6363 days 38%
Terneal King 8/10 6426 days 38%
Thomas Bachmann 9/10 6436 days 38%
Carmen 10/10 6440 days 38%
sasssy 10/10 6462 days 38%
Salome 7/10 6496 days 36%
Annie 9/10 6558 days 38%
Leanne Priestley 10/10 6559 days 38%
Anna 8/10 6565 days 38%
Thibault 9/10 6567 days 38%
Denise 10/10 6571 days 38%
Liz 9/10 6571 days 38%
Yayami Kimura 10/10 6571 days 38%
Tom 8/10 6572 days 38%
Sanne Jonker 7/10 6575 days 36%
Corina 9/10 6579 days 38%
Klaus 9/10 6579 days 38%
Tina Daly 8/10 6580 days 38%
Jo and Tony 9/10 6580 days 38%
Smith 7/10 6581 days 36%
Trinkler 9/10 6581 days 38%
Roger Repolusk 8/10 6585 days 38%
Carmen Dolny 10/10 6589 days 38%
Robert and Carol Rodgers 10/10 6593 days 38%
Roger and Heather Smith 7/10 6593 days 36%
Katharina 8/10 6600 days 38%
Jim Curley 10/10 6600 days 38%
Reina Lohaye 7/10 6603 days 36%
Tim 5/10 6628 days 29%
Mum! 8/10 6630 days 38%
Nathalie Meunier 9/10 6631 days 38%
Heike Julia 8/10 6635 days 38%
Andrew Porter 9/10 6636 days 38%
Kay 7/10 6659 days 36%
Ann Westmacott 8/10 6662 days 38%
Abbey 8/10 6672 days 38%
Samuel Brejeon 7/10 6673 days 36%
Tom Clements 7/10 6678 days 36%
Christin 6/10 6678 days 33%
Elaine 10/10 6909 days 38%
Yuki 9/10 6912 days 38%
Paola 7/10 6929 days 36%
Delgroot 9/10 6946 days 38%
Arjan 7/10 6949 days 36%
Lucy 8/10 6951 days 38%
delgroot 8/10 6953 days 38%
Frauke 7/10 6960 days 36%
Bernt 6/10 6960 days 33%
purplekat99 10/10 6978 days 38%

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

-4.03% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 57 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 -3.97%
198 -3.99%
199 -4.01%
200 -4.03%
201 -4.05%
202 -4.07%
203 -4.09%

Balancing Adjustment

3.58% 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

82%

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.