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

81.18%

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 2574 days 100%
Jeff Greenstreet 9/10 2608 days 98%
Julia Achatz 5/10 2852 days 65%
Daniela Hintermayr 5/10 2866 days 64%
Thomas Simeon 8/10 2906 days 81%
Kallan Mrozek 8/10 2908 days 81%
Tim 7/10 2918 days 76%
Jendrik 7/10 2918 days 76%
John Edwards 8/10 2925 days 80%
Julia 9/10 3172 days 67%
Benedikt Hang 7/10 3180 days 62%
Leon Grummer 8/10 3192 days 65%
Chris Cullen 8/10 3197 days 65%
Johannes Koch 9/10 3201 days 65%
Gerardo Furtado 10/10 3204 days 66%
Gabriela Cardoso 10/10 3204 days 66%
Chiara 9/10 3206 days 65%
Irene Marvelli 7/10 3213 days 61%
Mark White 3/10 3213 days 35%
Mikkel Pallesen 6/10 3227 days 55%
Maxima Buisan 6/10 3228 days 55%
Florian Mueller 8/10 3232 days 63%
Vincent 5/10 3233 days 49%
Tatiana 10/10 3243 days 64%
Christian Boudreau 9/10 3260 days 62%
Maria Ulitzsch 6/10 3628 days 36%
Leonie Moeller 6/10 3896 days 23%
Wolfgang and Christine 8/10 3905 days 26%
Agathe Dupuis 9/10 3915 days 26%
Sarah 8/10 3926 days 25%
Serena Poggioli 8/10 3941 days 24%
Adrien Godeloup 7/10 3975 days 21%
hendrik king 9/10 4161 days 12%
Chantal Mortel 7/10 4288 days 5%
Maxime 8/10 4295 days 4%
Sebastian and Peter Beate 10/10 4306 days 4%
Timo Maschke 10/10 4364 days 1%
Jackie and Brian 7/10 4365 days 1%
Alexandra van den Brack 8/10 4370 days 0%
Benedicte and Mathilde Colas 8/10 4376 days 0%
a a 9/10 4464 days 28%
Virgil Anabel 9/10 4644 days 28%
Mike Breele 8/10 4648 days 28%
Barry Baily 9/10 4661 days 28%
Lucie Rutherfurd 9/10 4675 days 28%
Lotte Foged 9/10 4675 days 28%
Nina Bille-Knudsen 9/10 4748 days 28%
Jack van den Nieuwendyk 8/10 4750 days 28%
Gema 8/10 4997 days 28%
Barry Digby 1/10 5001 days 11%
Fam de Kruyf 8/10 5011 days 28%
Jon_and_Family 9/10 5014 days 28%
Isabel & Tillmann 7/10 5017 days 26%
Stephen Leitch 8/10 5035 days 28%
Richardr1 10/10 5297 days 28%
Marcio Moretti 9/10 5389 days 28%
Fred Briggs 9/10 5402 days 28%
John Bost 8/10 5402 days 28%
willemrn 7/10 5454 days 26%
catdonjaime 10/10 5462 days 28%
Arran J 10/10 5469 days 28%
Anne Ford 9/10 5471 days 28%
David D S 10/10 5477 days 28%
Roman Hauri 8/10 5481 days 28%
Gensen 7/10 5495 days 26%
Suzanne 8/10 5530 days 28%
rita 8/10 5578 days 28%
arthurw 10/10 5586 days 28%
miniappleses 9/10 5591 days 28%
dieteru 5/10 5713 days 22%
LuukKarin 8/10 5715 days 28%
BrunoG 9/10 5731 days 28%
Pat 8/10 5737 days 28%
GH_Herrebrugh 9/10 5753 days 28%
EelcoK 9/10 5755 days 28%
Valerie 9/10 5757 days 28%
Christopher Gallaga 1/10 5769 days 11%
Bert 9/10 5778 days 28%
Ben 10/10 5888 days 28%
Michelle 9/10 5888 days 28%
Terneal King 8/10 5952 days 28%
Thomas Bachmann 9/10 5962 days 28%
Carmen 10/10 5965 days 28%
sasssy 10/10 5987 days 28%
Salome 7/10 6021 days 26%
Annie 9/10 6083 days 28%
Leanne Priestley 10/10 6084 days 28%
Anna 8/10 6090 days 28%
Thibault 9/10 6092 days 28%
Denise 10/10 6096 days 28%
Liz 9/10 6096 days 28%
Yayami Kimura 10/10 6096 days 28%
Tom 8/10 6097 days 28%
Sanne Jonker 7/10 6100 days 26%
Corina 9/10 6104 days 28%
Klaus 9/10 6104 days 28%
Tina Daly 8/10 6105 days 28%
Jo and Tony 9/10 6105 days 28%
Smith 7/10 6106 days 26%
Trinkler 9/10 6106 days 28%
Roger Repolusk 8/10 6110 days 28%
Carmen Dolny 10/10 6114 days 28%
Robert and Carol Rodgers 10/10 6118 days 28%
Roger and Heather Smith 7/10 6118 days 26%
Katharina 8/10 6125 days 28%
Jim Curley 10/10 6125 days 28%
Reina Lohaye 7/10 6128 days 26%
Tim 5/10 6153 days 22%
Mum! 8/10 6155 days 28%
Nathalie Meunier 9/10 6156 days 28%
Heike Julia 8/10 6160 days 28%
Andrew Porter 9/10 6161 days 28%
Kay 7/10 6184 days 26%
Ann Westmacott 8/10 6187 days 28%
Abbey 8/10 6197 days 28%
Samuel Brejeon 7/10 6198 days 26%
Tom Clements 7/10 6203 days 26%
Christin 6/10 6203 days 24%
Elaine 10/10 6434 days 28%
Yuki 9/10 6437 days 28%
Paola 7/10 6454 days 26%
Delgroot 9/10 6471 days 28%
Arjan 7/10 6474 days 26%
Lucy 8/10 6476 days 28%
delgroot 8/10 6478 days 28%
Frauke 7/10 6485 days 26%
Bernt 6/10 6485 days 24%
purplekat99 10/10 6503 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

-4.05% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 43 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 -3.99%
198 -4.01%
199 -4.03%
200 -4.05%
201 -4.07%
202 -4.09%
203 -4.11%

Balancing Adjustment

3.87% 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.