Hi there, 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 email@example.com. We don't believe this is perfect or complete so we're always interested in ways we might make improvements.
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:
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.
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.
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:
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.
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.
|Daniel Faasser||9/10||945 days||8.57||100%|
|Jeff Greenstreet||9/10||979 days||7.13||83%|
|Julia Achatz||5/10||1223 days||3.85||45%|
|Daniela Hintermayr||5/10||1237 days||3.82||45%|
|Thomas Simeon||8/10||1277 days||4.41||52%|
|Kallan Mrozek||8/10||1279 days||4.41||51%|
|John Edwards||8/10||1296 days||4.38||51%|
|Benedikt Hang||7/10||1551 days||3.74||44%|
|Leon Grummer||8/10||1563 days||3.88||45%|
|Chris Cullen||8/10||1568 days||3.87||45%|
|Johannes Koch||9/10||1572 days||4.07||47%|
|Gerardo Furtado||10/10||1575 days||4.06||47%|
|Gabriela Cardoso||10/10||1575 days||4.06||47%|
|Irene Marvelli||7/10||1584 days||3.68||43%|
|Mark White||3/10||1584 days||3.11||36%|
|Mikkel Pallesen||6/10||1598 days||3.33||39%|
|Maxima Buisan||6/10||1599 days||3.33||39%|
|Florian Mueller||8/10||1603 days||3.81||44%|
|Christian Boudreau||9/10||1631 days||3.95||46%|
|Maria Ulitzsch||6/10||1999 days||2.68||31%|
|Leonie Moeller||6/10||2267 days||2.25||26%|
|Wolfgang and Christine||8/10||2276 days||2.55||30%|
|Agathe Dupuis||9/10||2286 days||2.67||31%|
|Serena Poggioli||8/10||2312 days||2.49||29%|
|Adrien Godeloup||7/10||2346 days||2.32||27%|
|hendrik king||9/10||2532 days||2.19||26%|
|Chantal Mortel||7/10||2659 days||1.76||21%|
|Sebastian and Peter Beate||10/10||2677 days||1.9||22%|
|Timo Maschke||10/10||2735 days||1.79||21%|
|Jackie and Brian||7/10||2736 days||1.63||19%|
|Alexandra van den Brack||8/10||2741 days||1.69||20%|
|Benedicte and Mathilde Colas||8/10||2747 days||1.68||20%|
|a a||9/10||2835 days||1.59||19%|
|Virgil Anabel||9/10||3015 days||1.24||15%|
|Mike Breele||8/10||3019 days||1.17||14%|
|Barry Baily||9/10||3032 days||1.21||14%|
|Lucie Rutherfurd||9/10||3046 days||1.18||14%|
|Lotte Foged||9/10||3046 days||1.18||14%|
|Nina Bille-Knudsen||9/10||3119 days||1.04||12%|
|Jack van den Nieuwendyk||8/10||3121 days||0.98||11%|
|Barry Digby||1/10||3372 days||0.4||5%|
|Fam de Kruyf||8/10||3382 days||0.5||6%|
|Isabel & Tillmann||7/10||3388 days||0.47||5%|
|Stephen Leitch||8/10||3406 days||0.45||5%|
|Marcio Moretti||9/10||3760 days||0.0||0%|
|Fred Briggs||9/10||3773 days||0.0||0%|
|John Bost||8/10||3773 days||0.0||0%|
|Arran J||10/10||3840 days||0.0||0%|
|Anne Ford||9/10||3842 days||0.0||0%|
|David D S||10/10||3848 days||0.0||0%|
|Roman Hauri||8/10||3852 days||0.0||0%|
|Christopher Gallaga||1/10||4140 days||0.0||0%|
|Terneal King||8/10||4322 days||0.0||0%|
|Thomas Bachmann||9/10||4332 days||0.0||0%|
|Leanne Priestley||10/10||4455 days||0.0||0%|
|Yayami Kimura||10/10||4467 days||0.0||0%|
|Sanne Jonker||7/10||4471 days||0.0||0%|
|Tina Daly||8/10||4476 days||0.0||0%|
|Jo and Tony||9/10||4476 days||0.0||0%|
|Roger Repolusk||8/10||4481 days||0.0||0%|
|Carmen Dolny||10/10||4485 days||0.0||0%|
|Robert and Carol Rodgers||10/10||4489 days||0.0||0%|
|Roger and Heather Smith||7/10||4489 days||0.0||0%|
|Jim Curley||10/10||4496 days||0.0||0%|
|Reina Lohaye||7/10||4499 days||0.0||0%|
|Nathalie Meunier||9/10||4527 days||0.0||0%|
|Heike Julia||8/10||4531 days||0.0||0%|
|Andrew Porter||9/10||4532 days||0.0||0%|
|Ann Westmacott||8/10||4558 days||0.0||0%|
|Samuel Brejeon||7/10||4569 days||0.0||0%|
|Tom Clements||7/10||4574 days||0.0||0%|
Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.
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.
There may be an adjustment if this experience hasn't received any reviews within the last 110 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.
The final ranking score once adjustments and rounding has been applied. This value is cached and recalculated each day. Therefore it may not be precisely accurate based on the other values presented.
If you have any questions or comments about our ranking score calculation please get in touch at firstname.lastname@example.org.