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 Te Paki Stream.
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.
35 Valid Reviews
The Te Paki Stream experience has a total of 35 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 35 valid reviews:
The raw data average (mean) for all the Te Paki Stream valid reviews is 90.86% and is based on 35 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
32 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 35 valid reviews, the experience has 32 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 32 face-to-face reviews:
The raw data average (mean) for all the Te Paki Stream face-to-face reviews is 90.63% and is based on 32 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.
|Tom Bennett||10/10||854 days||14.2||100%|
|Martha and Simon||8/10||1097 days||4.75||33%|
|Dorthe Soeholm||10/10||1124 days||4.94||34%|
|Gregor Szymiczek||10/10||1210 days||4.77||33%|
|Sylvain Schiber||10/10||1214 days||4.77||33%|
|Taruo Toomsalv||9/10||1229 days||4.74||33%|
|Sarah Dorsett||10/10||1450 days||4.31||30%|
|Stefan Hahn||8/10||1456 days||4.08||28%|
|Maddalena Buffoni||9/10||1478 days||4.25||29%|
|Josef Biller||10/10||1483 days||4.24||29%|
|Tom Theuer||10/10||1508 days||4.19||29%|
|Anna Wilke||8/10||1545 days||3.91||27%|
|Marianne Leclerco||8/10||1554 days||3.9||27%|
|Sibylle and Nadine||9/10||1906 days||3.41||23%|
|Hubert Schmid||10/10||1969 days||3.29||22%|
|Andreas Jung||10/10||2214 days||2.81||19%|
|Matthias Freiling||10/10||2216 days||2.81||19%|
|Debora Grusler||8/10||2219 days||2.66||18%|
|Roberto Hallblom||7/10||2947 days||1.25||8%|
|Johanna & Mark||10/10||3268 days||0.75||4%|
|Christoph & Maria||10/10||3276 days||0.73||4%|
|Amanda Neall||8/10||3278 days||0.69||4%|
|Meg & Steve||10/10||3584 days||0.13||0%|
Several adjustments to the weighted average may be added to improve relevancy and credibility. Te Paki Stream 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.