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||766 days||20.16||100%|
|Lenka Korinkova||9/10||1849 days||3.52||11%|
|Jiri Benda||9/10||1849 days||3.52||11%|
|Blandine Giusti||8/10||1851 days||3.34||10%|
|Dieter Schmees||8/10||1933 days||3.19||9%|
|Erick Meevers||8/10||1939 days||3.18||9%|
|Inge van Noorf||7/10||1949 days||3.03||8%|
|Candice Bergon||8/10||1958 days||3.15||9%|
|Astrid Egesten||8/10||1959 days||3.14||9%|
|Betty Lou||10/10||1981 days||3.27||9%|
|angela neilsen||10/10||2134 days||2.97||8%|
|Boneschova Jarka||10/10||2196 days||2.85||7%|
|Brian Lexmond||9/10||2199 days||2.84||7%|
|Helen Olsson||8/10||2203 days||2.69||6%|
|Heike Heller||9/10||2205 days||2.83||7%|
|Benoit Irissou||8/10||2227 days||2.65||6%|
|Louison Laissus||7/10||2236 days||2.52||5%|
|Maria = Moller Hansen||10/10||2238 days||2.76||7%|
|Thomas Zilio||8/10||2244 days||2.61||6%|
|Bella Danaher||9/10||2264 days||2.71||6%|
|Daniel Danamer||10/10||2264 days||2.71||6%|
|Sanne Sprogoe Borgaa||8/10||2267 days||2.57||6%|
|Lars Borgaa||9/10||2267 days||2.71||6%|
|Renee van der Syde||9/10||2270 days||2.7||6%|
|Martha Horst||9/10||2270 days||2.7||6%|
|Julia Amberger||9/10||2277 days||2.69||6%|
|Anthony Brown||10/10||2279 days||2.68||6%|
|Lara Mroseck||10/10||2284 days||2.67||6%|
|Robert Geissler||10/10||2284 days||2.67||6%|
|Andrew Cattanach||8/10||2286 days||2.54||5%|
|Rey Germain||9/10||2568 days||2.12||3%|
|Brandon Wells||9/10||2579 days||2.1||3%|
|Katya Verikaitis||6/10||2585 days||1.73||1%|
|Paul Taylor||6/10||2585 days||1.73||1%|
|Janina Hoffmann||8/10||2587 days||1.98||2%|
|Lorraine Walker||9/10||2594 days||2.07||3%|
|Przemystaw Tymizyszyn||9/10||2596 days||2.06||3%|
|Sandra and Thomas||10/10||2670 days||1.92||2%|
|David and Sally Wallis||8/10||2673 days||1.82||2%|
|Lydia Holleman||4/10||2673 days||1.51||0%|
|Urs Kloter||8/10||2673 days||1.82||2%|
|Sasha and Sandra Bonavia||10/10||2682 days||1.89||2%|
|C Schaap||8/10||2693 days||1.78||1%|
|John Freeman||10/10||2698 days||1.86||2%|
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.