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 Tama Lakes.
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.
43 Valid Reviews
The Tama Lakes experience has a total of 43 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 43 valid reviews:
The raw data average (mean) for all the Tama Lakes valid reviews is 88.14% and is based on 43 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
39 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 43 valid reviews, the experience has 39 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 39 face-to-face reviews:
The raw data average (mean) for all the Tama Lakes face-to-face reviews is 88.21% and is based on 39 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.
|Andrea Mueller||9/10||1133 days||4.93||100%|
|ALEXANDRE ESCOT||10/10||1139 days||4.91||100%|
|Nina Feulner||10/10||1170 days||4.85||99%|
|Thomas Kindler||10/10||1180 days||4.83||98%|
|Aurelie Otis||8/10||1236 days||4.49||91%|
|Lili Souris||8/10||1510 days||3.98||81%|
|Ambrosio Loojs||8/10||1533 days||3.94||80%|
|Florian Mueller||10/10||1546 days||4.12||84%|
|Manuela Opprecht||8/10||1906 days||3.24||66%|
|David and Stephan||10/10||1936 days||3.35||68%|
|Romina De Hill||6/10||2230 days||2.31||47%|
|Tom Hill||5/10||2230 days||2.25||46%|
|Louison Laissus||10/10||2241 days||2.76||56%|
|Tanja and Pascal||10/10||2627 days||2.0||41%|
|Wouter Trumpie||8/10||2676 days||1.81||37%|
|Stephan Olivier||10/10||2691 days||1.88||38%|
|Stephan Olivier||10/10||2691 days||1.88||38%|
|Kevin Blom||9/10||2691 days||1.88||38%|
|Graham Platt||9/10||2971 days||1.33||27%|
|Barry Dunster||10/10||3053 days||1.17||24%|
|Wolter Zigterman||9/10||3069 days||1.14||23%|
|Anders Rathleff||9/10||3069 days||1.14||23%|
|Peter Koeck||10/10||3702 days||0.0||0%|
|Jakob Pedersen||9/10||3703 days||0.0||0%|
|Andrew Wilson||7/10||4044 days||0.0||0%|
Several adjustments to the weighted average may be added to improve relevancy and credibility. Tama Lakes 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.