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 Fiordland i-SITE Visitor Information Centre.
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.
50 Valid Reviews
The Fiordland i-SITE Visitor Information Centre experience has a total of 51 reviews. There are 50 valid reviews that are included when calculating the ranking score and 1 invalid review 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 50 valid reviews:
The raw data average (mean) for all the Fiordland i-SITE Visitor Information Centre valid reviews is 82.20% and is based on 50 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
50 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 50 valid reviews, the experience has 50 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 50 face-to-face reviews:
The raw data average (mean) for all the Fiordland i-SITE Visitor Information Centre face-to-face reviews is 82.20% and is based on 50 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.
|Annika Fletemeyer||8/10||1652 days||3.84||100%|
|Tarillon Family||8/10||1652 days||3.84||100%|
|Rebecca Wharton||8/10||1677 days||3.8||97%|
|Markus Delinsky||8/10||1688 days||3.79||96%|
|Max Backelandt||10/10||2006 days||3.44||71%|
|Marie Toulemonde||9/10||2006 days||3.44||71%|
|Hanna Liebe||8/10||2010 days||3.26||58%|
|Stefan Glock||7/10||2010 days||3.12||48%|
|Andreas Liebe||10/10||2010 days||3.43||70%|
|Tomas Shairi||1/10||2023 days||2.49||1%|
|Agathe Dupuis||8/10||2024 days||3.24||56%|
|Jonas Hessel||7/10||2024 days||3.1||46%|
|Jonas Foerch||9/10||2027 days||3.4||68%|
|Johanna Kofler||10/10||2030 days||3.4||68%|
|Maria = Moller Hansen||10/10||2038 days||3.39||67%|
|Mike Gemmill||10/10||2038 days||3.39||67%|
|Denise Ewbank||9/10||2042 days||3.38||66%|
|Tiit Pullerits||9/10||2042 days||3.38||66%|
|Marion Busch||10/10||2042 days||3.38||66%|
|Natalie Boehm||6/10||2043 days||2.8||24%|
|Eugen Lehner||8/10||2046 days||3.2||53%|
|Max Stein||8/10||2046 days||3.2||53%|
|Becky Davis||9/10||2054 days||3.36||65%|
|Emilie Chanbon||8/10||2058 days||3.18||52%|
|Markus Spitzmueller||4/10||2062 days||2.64||12%|
|Uta Dingebauer||3/10||2071 days||2.56||7%|
|Sapir Lifshitz||8/10||2076 days||3.15||50%|
|Maya Barad||10/10||2076 days||3.32||62%|
|Julia Amberger||4/10||2077 days||2.62||11%|
|Maria Klister||9/10||2376 days||2.81||24%|
|Luise Fuchs||9/10||2382 days||2.8||24%|
|Nicolas Bessiere||9/10||2389 days||2.78||23%|
|Przemystaw Tymizyszyn||9/10||2396 days||2.77||22%|
|Harry Findeis||9/10||2401 days||2.76||21%|
|Peter Moederer||10/10||2409 days||2.75||20%|
|Karin Genyn||10/10||2468 days||2.65||13%|
|Andrea Wollmann||9/10||2469 days||2.65||13%|
|Nigel Leighton||8/10||2470 days||2.51||3%|
|Leticia Martin||10/10||2473 days||2.64||12%|
|Andreas and Christine and Nora Busch||9/10||2481 days||2.63||11%|
|Oliver Kalmbach||9/10||2491 days||2.61||10%|
|Rena and Kirsten||8/10||2496 days||2.47||0%|
Several adjustments to the weighted average may be added to improve relevancy and credibility. Fiordland 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 email@example.com.