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 Picton 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.
67 Valid Reviews
The Picton i-SITE Visitor Information Centre experience has a total of 67 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 67 valid reviews:
The raw data average (mean) for all the Picton i-SITE Visitor Information Centre valid reviews is 78.81% and is based on 67 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
64 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 67 valid reviews, the experience has 64 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 64 face-to-face reviews:
The raw data average (mean) for all the Picton i-SITE Visitor Information Centre face-to-face reviews is 79.53% and is based on 64 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.
|Sebastian Heinzelmann||10/10||1543 days||4.12||4%|
|Ahmed Mohsen Aly||5/10||1676 days||3.13||3%|
|Stuart Cook||9/10||1911 days||3.4||3%|
|Nina Müller||7/10||1937 days||3.05||3%|
|Leonie Jennings||8/10||1955 days||3.15||3%|
|Marie Weber||9/10||1956 days||3.32||3%|
|Damaris Mayer||6/10||1961 days||2.74||2%|
|Jamie McArthur||8/10||1972 days||3.12||3%|
|Bart Hanssen||6/10||1990 days||2.7||2%|
|Jutta Bernhart||9/10||2004 days||3.22||3%|
|Nils Demattio||10/10||2008 days||3.21||3%|
|Jan-Peter Stripp||8/10||2255 days||2.59||2%|
|Paula Renton||6/10||2263 days||2.25||1%|
|Romina De Hill||10/10||2285 days||2.67||2%|
|Tom Hill||8/10||2285 days||2.54||2%|
|Sergey Pronkin||7/10||2290 days||2.42||2%|
|Nina Helmling||6/10||2290 days||2.21||1%|
|Katja Kraffzik||10/10||2291 days||2.66||2%|
|Vera Kreipe||10/10||2292 days||2.66||2%|
|Maria = Moller Hansen||10/10||2298 days||2.65||2%|
|Steven Lotrian||7/10||2301 days||2.4||2%|
|Klaus Petersen||7/10||2305 days||2.4||2%|
|Anna Guzewiez||9/10||2306 days||2.63||2%|
|Marc Engstle||6/10||2309 days||2.18||1%|
|Leeann Newton||9/10||2313 days||2.62||2%|
|Jan Pekarek||10/10||2333 days||2.58||2%|
|Lenka Dvorauova||9/10||2333 days||2.58||2%|
|Johanna Bak||10/10||2334 days||2.58||2%|
|Greg Fischer||10/10||2344 days||2.56||2%|
|Chen Levin||5/10||2344 days||2.07||1%|
|jonas meier||8/10||2351 days||2.41||2%|
|Peter elsleysams||8/10||2353 days||2.41||2%|
|Paul Balfour||7/10||2356 days||2.3||1%|
|Anton Thisted||8/10||2619 days||1.92||1%|
|Josefine Sjodin||8/10||2619 days||1.92||1%|
|Lorraine Doyle||3/10||2638 days||1.52||0%|
|Sean Hurley||2/10||2638 days||1.49||0%|
|Sarah Horn||8/10||2640 days||1.88||1%|
|Sebastian Russell-Smits||9/10||2640 days||1.98||1%|
|Gale Willcocks||9/10||2645 days||1.97||1%|
|Glenn Surzur||8/10||2648 days||1.86||1%|
|Will and Taylor||4/10||2652 days||1.54||0%|
|Michal Maly||10/10||2678 days||1.9||1%|
|Tanja and Pascal||3/10||2682 days||1.46||0%|
|Sue Kieseker||9/10||2727 days||1.81||1%|
|Sandra and Thomas||10/10||2730 days||1.8||1%|
|Jackie and Brian||8/10||2734 days||1.7||0%|
|Lisa Blake||7/10||2758 days||1.59||0%|
|Megan Child||10/10||2759 days||1.74||0%|
Several adjustments to the weighted average may be added to improve relevancy and credibility. Picton 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.