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 Donegal House Irish Hotel.
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.
61 Valid Reviews
The Donegal House Irish Hotel experience has a total of 63 reviews. There are 61 valid reviews that are included when calculating the ranking score and 2 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.
Within these 61 valid reviews, the experience has 1 face-to-face review collected during interviews by our team.
Below is the distribution of ratings for the 61 valid reviews:
The raw data average (mean) for all the Donegal House Irish Hotel valid reviews is 88.03% and is based on 61 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
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.
|Dik Troost||9/10||21 days||99.93||100%|
|3s Belgium||8/10||52 days||94.59||94%|
|Richard & Chris, UK||9/10||52 days||99.57||100%|
|Xiang Long Ng||10/10||266 days||88.79||88%|
|Tim L||10/10||327 days||83.06||83%|
|Stefan Miedzinski||10/10||358 days||79.69||79%|
|Mike Fricker||10/10||509 days||58.95||58%|
|helen reeve||9/10||509 days||58.95||58%|
|Peter Edmead||10/10||723 days||26.93||24%|
|Jay kerley||5/10||723 days||21.81||19%|
|Christian Oerlemans||8/10||728 days||25.03||22%|
|Fei Fei Lei||10/10||772 days||21.53||19%|
|Nadene Wheatley||8/10||839 days||14.62||12%|
|Jean Simonet||6/10||855 days||11.73||9%|
|Michiel de Weerd||10/10||1065 days||5.14||2%|
|Andrew Shortle||9/10||1245 days||4.71||1%|
|Jack Frazier||10/10||1328 days||4.54||1%|
|Syed Mohd Muhafiz Syed Mohd Bakar||9/10||1392 days||4.42||1%|
|Janneke Thuijils||9/10||1479 days||4.25||1%|
|Tomas Talpa||9/10||1494 days||4.22||1%|
|James Whitehead||6/10||1515 days||3.47||0%|
|Ellen Schmitz||10/10||1518 days||4.17||1%|
|Rhiannan Edwards||10/10||1528 days||4.15||1%|
|Helen B||10/10||1536 days||4.14||1%|
|Florian Werner-Zilch||10/10||1541 days||4.13||1%|
|Singapore Sling||9/10||1544 days||4.12||1%|
|Ahmed Mohsen Aly||10/10||1573 days||4.06||1%|
|Steve Warren||10/10||1635 days||3.94||1%|
|Lorina Spring||10/10||1638 days||3.94||1%|
|Harriet Bramley||9/10||1654 days||3.91||1%|
|Alva Feldmeier||10/10||1744 days||3.73||0%|
|Yann Le Gac||10/10||1758 days||3.7||0%|
|Sarrob Sarrob||8/10||1819 days||3.4||0%|
Several adjustments to the weighted average may be added to improve relevancy and credibility. Donegal House Irish Hotel 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.