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 Kaikoura i-SITE Visitor Information Centre.
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.
55 Valid Reviews
The Kaikoura i-SITE Visitor Information Centre experience has a total of 55 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 55 valid reviews:
The raw data average (mean) for all the Kaikoura i-SITE Visitor Information Centre valid reviews is 85.45% and is based on 55 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
51 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 55 valid reviews, the experience has 51 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 51 face-to-face reviews:
The raw data average (mean) for all the Kaikoura i-SITE Visitor Information Centre face-to-face reviews is 85.29% and is based on 51 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.
|S Weslake||7/10||937 days||8.15||100%|
|Lenka Korinkova||9/10||2020 days||3.19||28%|
|Jiri Benda||9/10||2020 days||3.19||28%|
|Blandine Giusti||8/10||2022 days||3.03||26%|
|Dieter Schmees||8/10||2104 days||2.87||24%|
|Erick Meevers||8/10||2110 days||2.86||23%|
|Inge van Noorf||7/10||2120 days||2.72||21%|
|Candice Bergon||8/10||2129 days||2.83||23%|
|Astrid Egesten||8/10||2130 days||2.83||23%|
|Betty Lou||10/10||2152 days||2.93||24%|
|angela neilsen||10/10||2306 days||2.63||20%|
|Boneschova Jarka||10/10||2367 days||2.51||18%|
|Brian Lexmond||9/10||2370 days||2.5||18%|
|Helen Olsson||8/10||2374 days||2.37||16%|
|Heike Heller||9/10||2376 days||2.49||18%|
|Benoit Irissou||8/10||2398 days||2.33||16%|
|Louison Laissus||7/10||2407 days||2.21||14%|
|Maria = Moller Hansen||10/10||2409 days||2.43||17%|
|Thomas Zilio||8/10||2415 days||2.3||15%|
|Bella Danaher||9/10||2435 days||2.38||16%|
|Daniel Danamer||10/10||2435 days||2.38||16%|
|Sanne Sprogoe Borgaa||8/10||2438 days||2.25||15%|
|Lars Borgaa||9/10||2438 days||2.37||16%|
|Renee van der Syde||9/10||2441 days||2.37||16%|
|Martha Horst||9/10||2441 days||2.37||16%|
|Julia Amberger||9/10||2448 days||2.35||16%|
|Anthony Brown||10/10||2450 days||2.35||16%|
|Lara Mroseck||10/10||2455 days||2.34||16%|
|Robert Geissler||10/10||2455 days||2.34||16%|
|Andrew Cattanach||8/10||2457 days||2.22||14%|
|Rey Germain||9/10||2739 days||1.78||8%|
|Brandon Wells||9/10||2750 days||1.76||7%|
|Katya Verikaitis||6/10||2756 days||1.45||3%|
|Paul Taylor||6/10||2756 days||1.45||3%|
|Janina Hoffmann||8/10||2758 days||1.66||6%|
|Lorraine Walker||9/10||2765 days||1.73||7%|
|Przemystaw Tymizyszyn||9/10||2767 days||1.73||7%|
|Sandra and Thomas||10/10||2841 days||1.58||5%|
|David and Sally Wallis||8/10||2844 days||1.5||4%|
|Lydia Holleman||4/10||2844 days||1.25||0%|
|Urs Kloter||8/10||2844 days||1.5||4%|
|Sasha and Sandra Bonavia||10/10||2853 days||1.56||5%|
|C Schaap||8/10||2864 days||1.46||3%|
|John Freeman||10/10||2869 days||1.53||4%|
Several adjustments to the weighted average may be added to improve relevancy and credibility. Kaikoura i-SITE Visitor Information Centre does not meet the criteria for any of these adjustments to apply.
The final ranking score once 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.