Ranking Score Explained

Kia ora, 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

81.98%

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 2968 days 100%
Jeff Greenstreet 9/10 3001 days 98%
Julia Achatz 5/10 3246 days 62%
Daniela Hintermayr 5/10 3260 days 61%
Thomas Simeon 8/10 3300 days 76%
Kallan Mrozek 8/10 3302 days 75%
Tim 7/10 3312 days 71%
Jendrik 7/10 3312 days 71%
John Edwards 8/10 3319 days 74%
Julia 9/10 3566 days 57%
Benedikt Hang 7/10 3574 days 53%
Leon Grummer 8/10 3586 days 55%
Chris Cullen 8/10 3591 days 55%
Johannes Koch 9/10 3595 days 55%
Gerardo Furtado 10/10 3598 days 56%
Gabriela Cardoso 10/10 3598 days 56%
Chiara 9/10 3600 days 55%
Irene Marvelli 7/10 3607 days 51%
Mark White 3/10 3607 days 30%
Mikkel Pallesen 6/10 3621 days 46%
Maxima Buisan 6/10 3622 days 46%
Florian Mueller 8/10 3626 days 53%
Vincent 5/10 3627 days 41%
Tatiana 10/10 3637 days 53%
Christian Boudreau 9/10 3654 days 51%
Maria Ulitzsch 6/10 4022 days 21%
Leonie Moeller 6/10 4290 days 5%
Wolfgang and Christine 8/10 4299 days 5%
Agathe Dupuis 9/10 4309 days 4%
Sarah 8/10 4320 days 4%
Serena Poggioli 8/10 4335 days 2%
Adrien Godeloup 7/10 4369 days 0%
hendrik king 9/10 4555 days 36%
Chantal Mortel 7/10 4682 days 34%
Maxime 8/10 4689 days 35%
Sebastian and Peter Beate 10/10 4700 days 36%
Timo Maschke 10/10 4758 days 36%
Jackie and Brian 7/10 4759 days 34%
Alexandra van den Brack 8/10 4764 days 35%
Benedicte and Mathilde Colas 8/10 4770 days 35%
a a 9/10 4858 days 36%
Virgil Anabel 9/10 5038 days 36%
Mike Breele 8/10 5042 days 35%
Barry Baily 9/10 5055 days 36%
Lucie Rutherfurd 9/10 5069 days 36%
Lotte Foged 9/10 5069 days 36%
Nina Bille-Knudsen 9/10 5142 days 36%
Jack van den Nieuwendyk 8/10 5144 days 35%
Gema 8/10 5391 days 35%
Barry Digby 1/10 5395 days 14%
Fam de Kruyf 8/10 5405 days 35%
Jon_and_Family 9/10 5408 days 36%
Isabel & Tillmann 7/10 5411 days 34%
Stephen Leitch 8/10 5429 days 35%
Richardr1 10/10 5691 days 36%
Marcio Moretti 9/10 5783 days 36%
Fred Briggs 9/10 5796 days 36%
John Bost 8/10 5796 days 35%
willemrn 7/10 5848 days 34%
catdonjaime 10/10 5856 days 36%
Arran J 10/10 5863 days 36%
Anne Ford 9/10 5865 days 36%
David D S 10/10 5871 days 36%
Roman Hauri 8/10 5875 days 35%
Gensen 7/10 5889 days 34%
Suzanne 8/10 5924 days 35%
rita 8/10 5972 days 35%
arthurw 10/10 5980 days 36%
miniappleses 9/10 5985 days 36%
dieteru 5/10 6107 days 27%
LuukKarin 8/10 6109 days 35%
BrunoG 9/10 6125 days 36%
Pat 8/10 6130 days 35%
GH_Herrebrugh 9/10 6147 days 36%
EelcoK 9/10 6149 days 36%
Valerie 9/10 6150 days 36%
Christopher Gallaga 1/10 6163 days 14%
Bert 9/10 6171 days 36%
Ben 10/10 6281 days 36%
Michelle 9/10 6281 days 36%
Terneal King 8/10 6345 days 35%
Thomas Bachmann 9/10 6355 days 36%
Carmen 10/10 6359 days 36%
sasssy 10/10 6381 days 36%
Salome 7/10 6415 days 34%
Annie 9/10 6477 days 36%
Leanne Priestley 10/10 6478 days 36%
Anna 8/10 6484 days 35%
Thibault 9/10 6486 days 36%
Denise 10/10 6490 days 36%
Liz 9/10 6490 days 36%
Yayami Kimura 10/10 6490 days 36%
Tom 8/10 6491 days 35%
Sanne Jonker 7/10 6494 days 34%
Corina 9/10 6498 days 36%
Klaus 9/10 6498 days 36%
Tina Daly 8/10 6499 days 35%
Jo and Tony 9/10 6499 days 36%
Smith 7/10 6500 days 34%
Trinkler 9/10 6500 days 36%
Roger Repolusk 8/10 6504 days 35%
Carmen Dolny 10/10 6508 days 36%
Robert and Carol Rodgers 10/10 6512 days 36%
Roger and Heather Smith 7/10 6512 days 34%
Katharina 8/10 6519 days 35%
Jim Curley 10/10 6519 days 36%
Reina Lohaye 7/10 6522 days 34%
Tim 5/10 6547 days 27%
Mum! 8/10 6549 days 35%
Nathalie Meunier 9/10 6550 days 36%
Heike Julia 8/10 6554 days 35%
Andrew Porter 9/10 6555 days 36%
Kay 7/10 6578 days 34%
Ann Westmacott 8/10 6581 days 35%
Abbey 8/10 6591 days 35%
Samuel Brejeon 7/10 6592 days 34%
Tom Clements 7/10 6597 days 34%
Christin 6/10 6597 days 31%
Elaine 10/10 6828 days 36%
Yuki 9/10 6831 days 36%
Paola 7/10 6848 days 34%
Delgroot 9/10 6865 days 36%
Arjan 7/10 6868 days 34%
Lucy 8/10 6870 days 35%
delgroot 8/10 6872 days 35%
Frauke 7/10 6879 days 34%
Bernt 6/10 6879 days 31%
purplekat99 10/10 6897 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

-4.04% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 41 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 -3.98%
198 -4.00%
199 -4.02%
200 -4.04%
201 -4.06%
202 -4.08%
203 -4.10%

Balancing Adjustment

3.61% 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.