Ranking Score Explained

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.

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

81.97%

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 3070 days 100%
Jeff Greenstreet 9/10 3103 days 97%
Julia Achatz 5/10 3348 days 53%
Daniela Hintermayr 5/10 3362 days 52%
Thomas Simeon 8/10 3402 days 69%
Kallan Mrozek 8/10 3404 days 69%
Tim 7/10 3414 days 63%
Jendrik 7/10 3414 days 63%
John Edwards 8/10 3421 days 67%
Julia 9/10 3668 days 46%
Benedikt Hang 7/10 3676 days 41%
Leon Grummer 8/10 3688 days 43%
Chris Cullen 8/10 3693 days 43%
Johannes Koch 9/10 3697 days 43%
Gerardo Furtado 10/10 3700 days 43%
Gabriela Cardoso 10/10 3700 days 43%
Chiara 9/10 3702 days 43%
Irene Marvelli 7/10 3709 days 38%
Mark White 3/10 3709 days 14%
Mikkel Pallesen 6/10 3723 days 33%
Maxima Buisan 6/10 3724 days 33%
Florian Mueller 8/10 3728 days 40%
Vincent 5/10 3729 days 27%
Tatiana 10/10 3739 days 40%
Christian Boudreau 9/10 3756 days 38%
Maria Ulitzsch 6/10 4124 days 1%
Leonie Moeller 6/10 4392 days 21%
Wolfgang and Christine 8/10 4401 days 27%
Agathe Dupuis 9/10 4411 days 27%
Sarah 8/10 4422 days 27%
Serena Poggioli 8/10 4437 days 27%
Adrien Godeloup 7/10 4471 days 25%
hendrik king 9/10 4657 days 27%
Chantal Mortel 7/10 4784 days 25%
Maxime 8/10 4791 days 27%
Sebastian and Peter Beate 10/10 4802 days 28%
Timo Maschke 10/10 4860 days 28%
Jackie and Brian 7/10 4861 days 25%
Alexandra van den Brack 8/10 4866 days 27%
Benedicte and Mathilde Colas 8/10 4872 days 27%
a a 9/10 4960 days 27%
Virgil Anabel 9/10 5140 days 27%
Mike Breele 8/10 5144 days 27%
Barry Baily 9/10 5157 days 27%
Lucie Rutherfurd 9/10 5171 days 27%
Lotte Foged 9/10 5171 days 27%
Nina Bille-Knudsen 9/10 5244 days 27%
Jack van den Nieuwendyk 8/10 5246 days 27%
Gema 8/10 5493 days 27%
Barry Digby 1/10 5497 days 0%
Fam de Kruyf 8/10 5507 days 27%
Jon_and_Family 9/10 5510 days 27%
Isabel & Tillmann 7/10 5513 days 25%
Stephen Leitch 8/10 5531 days 27%
Richardr1 10/10 5793 days 28%
Marcio Moretti 9/10 5885 days 27%
Fred Briggs 9/10 5898 days 27%
John Bost 8/10 5898 days 27%
willemrn 7/10 5950 days 25%
catdonjaime 10/10 5958 days 28%
Arran J 10/10 5965 days 28%
Anne Ford 9/10 5967 days 27%
David D S 10/10 5973 days 28%
Roman Hauri 8/10 5977 days 27%
Gensen 7/10 5991 days 25%
Suzanne 8/10 6026 days 27%
rita 8/10 6074 days 27%
arthurw 10/10 6082 days 28%
miniappleses 9/10 6087 days 27%
dieteru 5/10 6209 days 17%
LuukKarin 8/10 6211 days 27%
BrunoG 9/10 6227 days 27%
Pat 8/10 6232 days 27%
GH_Herrebrugh 9/10 6249 days 27%
EelcoK 9/10 6251 days 27%
Valerie 9/10 6252 days 27%
Christopher Gallaga 1/10 6265 days 0%
Bert 9/10 6273 days 27%
Ben 10/10 6383 days 28%
Michelle 9/10 6383 days 27%
Terneal King 8/10 6447 days 27%
Thomas Bachmann 9/10 6457 days 27%
Carmen 10/10 6461 days 28%
sasssy 10/10 6483 days 28%
Salome 7/10 6517 days 25%
Annie 9/10 6579 days 27%
Leanne Priestley 10/10 6580 days 28%
Anna 8/10 6586 days 27%
Thibault 9/10 6588 days 27%
Denise 10/10 6592 days 28%
Liz 9/10 6592 days 27%
Yayami Kimura 10/10 6592 days 28%
Tom 8/10 6593 days 27%
Sanne Jonker 7/10 6596 days 25%
Corina 9/10 6600 days 27%
Klaus 9/10 6600 days 27%
Tina Daly 8/10 6601 days 27%
Jo and Tony 9/10 6601 days 27%
Smith 7/10 6602 days 25%
Trinkler 9/10 6602 days 27%
Roger Repolusk 8/10 6606 days 27%
Carmen Dolny 10/10 6610 days 28%
Robert and Carol Rodgers 10/10 6614 days 28%
Roger and Heather Smith 7/10 6614 days 25%
Katharina 8/10 6621 days 27%
Jim Curley 10/10 6621 days 28%
Reina Lohaye 7/10 6624 days 25%
Tim 5/10 6649 days 17%
Mum! 8/10 6651 days 27%
Nathalie Meunier 9/10 6652 days 27%
Heike Julia 8/10 6656 days 27%
Andrew Porter 9/10 6657 days 27%
Kay 7/10 6680 days 25%
Ann Westmacott 8/10 6683 days 27%
Abbey 8/10 6693 days 27%
Samuel Brejeon 7/10 6694 days 25%
Tom Clements 7/10 6699 days 25%
Christin 6/10 6699 days 21%
Elaine 10/10 6930 days 28%
Yuki 9/10 6933 days 27%
Paola 7/10 6950 days 25%
Delgroot 9/10 6967 days 27%
Arjan 7/10 6970 days 25%
Lucy 8/10 6972 days 27%
delgroot 8/10 6974 days 27%
Frauke 7/10 6981 days 25%
Bernt 6/10 6981 days 21%
purplekat99 10/10 6999 days 28%

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

-3.74% 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 -3.68%
198 -3.70%
199 -3.72%
200 -3.74%
201 -3.76%
202 -3.77%
203 -3.79%

Balancing Adjustment

3.52% 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.