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 firstname.lastname@example.org. 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||711 days||28.37||100%|
|Jeff Greenstreet||9/10||745 days||24.41||86%|
|Julia Achatz||5/10||989 days||5.49||19%|
|Daniela Hintermayr||5/10||1003 days||5.14||18%|
|Thomas Simeon||8/10||1043 days||5.16||18%|
|Kallan Mrozek||8/10||1045 days||5.13||18%|
|John Edwards||8/10||1062 days||4.91||17%|
|Benedikt Hang||7/10||1317 days||4.2||15%|
|Leon Grummer||8/10||1329 days||4.37||15%|
|Chris Cullen||8/10||1334 days||4.36||15%|
|Johannes Koch||9/10||1338 days||4.58||16%|
|Gerardo Furtado||10/10||1341 days||4.58||16%|
|Gabriela Cardoso||10/10||1341 days||4.58||16%|
|Irene Marvelli||7/10||1350 days||4.15||15%|
|Mark White||3/10||1350 days||3.51||12%|
|Mikkel Pallesen||6/10||1364 days||3.77||13%|
|Maxima Buisan||6/10||1365 days||3.77||13%|
|Florian Mueller||8/10||1369 days||4.3||15%|
|Christian Boudreau||9/10||1397 days||4.48||16%|
|Maria Ulitzsch||6/10||1765 days||3.2||11%|
|Leonie Moeller||6/10||2033 days||2.82||10%|
|Wolfgang and Christine||8/10||2042 days||3.21||11%|
|Agathe Dupuis||9/10||2052 days||3.36||12%|
|Serena Poggioli||8/10||2078 days||3.15||11%|
|Adrien Godeloup||7/10||2112 days||2.97||10%|
|hendrik king||9/10||2298 days||2.94||10%|
|Chantal Mortel||7/10||2425 days||2.48||9%|
|Sebastian and Peter Beate||10/10||2443 days||2.69||9%|
|Timo Maschke||10/10||2501 days||2.59||9%|
|Jackie and Brian||7/10||2502 days||2.36||8%|
|Alexandra van den Brack||8/10||2507 days||2.45||9%|
|Benedicte and Mathilde Colas||8/10||2513 days||2.44||9%|
|a a||9/10||2601 days||2.42||9%|
|Virgil Anabel||9/10||2781 days||2.11||7%|
|Mike Breele||8/10||2785 days||2.0||7%|
|Barry Baily||9/10||2798 days||2.08||7%|
|Lucie Rutherfurd||9/10||2812 days||2.06||7%|
|Lotte Foged||9/10||2812 days||2.06||7%|
|Nina Bille-Knudsen||9/10||2885 days||1.93||7%|
|Jack van den Nieuwendyk||8/10||2887 days||1.83||6%|
|Barry Digby||1/10||3138 days||1.1||4%|
|Fam de Kruyf||8/10||3148 days||1.41||5%|
|Isabel & Tillmann||7/10||3154 days||1.34||5%|
|Stephen Leitch||8/10||3172 days||1.37||5%|
|Marcio Moretti||9/10||3526 days||0.84||3%|
|Fred Briggs||9/10||3539 days||0.82||3%|
|John Bost||8/10||3539 days||0.77||3%|
|Arran J||10/10||3606 days||0.7||2%|
|Anne Ford||9/10||3608 days||0.7||2%|
|David D S||10/10||3614 days||0.69||2%|
|Roman Hauri||8/10||3618 days||0.65||2%|
|Christopher Gallaga||1/10||3906 days||0.14||0%|
|Terneal King||8/10||4088 days||0.0||0%|
|Thomas Bachmann||9/10||4098 days||0.0||0%|
|Leanne Priestley||10/10||4221 days||0.0||0%|
|Yayami Kimura||10/10||4233 days||0.0||0%|
|Sanne Jonker||7/10||4237 days||0.0||0%|
|Tina Daly||8/10||4242 days||0.0||0%|
|Jo and Tony||9/10||4242 days||0.0||0%|
|Roger Repolusk||8/10||4247 days||0.0||0%|
|Carmen Dolny||10/10||4251 days||0.0||0%|
|Robert and Carol Rodgers||10/10||4255 days||0.0||0%|
|Roger and Heather Smith||7/10||4255 days||0.0||0%|
|Jim Curley||10/10||4262 days||0.0||0%|
|Reina Lohaye||7/10||4265 days||0.0||0%|
|Nathalie Meunier||9/10||4293 days||0.0||0%|
|Heike Julia||8/10||4297 days||0.0||0%|
|Andrew Porter||9/10||4298 days||0.0||0%|
|Ann Westmacott||8/10||4324 days||0.0||0%|
|Samuel Brejeon||7/10||4335 days||0.0||0%|
|Tom Clements||7/10||4340 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 an 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 199 days.
The Auckland Museum experience has been adjusted for 199 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 email@example.com.