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 Lake Marian Track.
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.
65 Valid Reviews
The Lake Marian Track experience has a total of 65 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 65 valid reviews:
The raw data average (mean) for all the Lake Marian Track valid reviews is 90.31% and is based on 65 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
53 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 65 valid reviews, the experience has 53 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 53 face-to-face reviews:
The raw data average (mean) for all the Lake Marian Track face-to-face reviews is 90.57% and is based on 53 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.
|Brennon Lanigan||3/10||143 days||74.5||93%|
|Nicki Chow||10/10||355 days||80.03||100%|
|Kay Simpkin||8/10||1029 days||5.41||7%|
|Justine Langero||9/10||1179 days||4.84||6%|
|Kristin Pogue||8/10||1394 days||4.19||5%|
|Sarah Boettcher||7/10||1396 days||4.01||5%|
|Pascale Lemieux||7/10||1396 days||4.01||5%|
|Molly Bogeberg||9/10||1401 days||4.4||5%|
|Christian Bobsu||10/10||1405 days||4.39||5%|
|Stephen Timko||9/10||1406 days||4.39||5%|
|Michael L||9/10||1414 days||4.38||5%|
|Jorge Gonzoleis||7/10||1418 days||3.97||5%|
|Joaquin Gruffat||10/10||1428 days||4.35||5%|
|Ben and Pauline||7/10||1434 days||3.95||5%|
|Yaiv Cohen||9/10||1443 days||4.32||5%|
|magdalena gomez haedo||10/10||1448 days||4.31||5%|
|Hannes Puediger||8/10||1470 days||4.05||5%|
|Konstantin Bücheler||9/10||1499 days||4.21||5%|
|Oliver Pester||10/10||1788 days||3.64||5%|
|Manuela Opprecht||10/10||1827 days||3.57||4%|
|Oliver Andres||10/10||1862 days||3.5||4%|
|Anja Weppler||10/10||2120 days||2.99||4%|
|Jan-Peter Stripp||10/10||2121 days||2.99||4%|
|Leandra Thiele||8/10||2123 days||2.84||4%|
|Jonas Hessel||10/10||2150 days||2.94||4%|
|Sheila Galpin||9/10||2151 days||2.93||4%|
|Wouter Bosch||10/10||2194 days||2.85||4%|
|Emmanuelle Brevier||8/10||2201 days||2.69||3%|
|Thomas Roche||10/10||2214 days||2.81||4%|
|Daniel McAlpine||8/10||2217 days||2.66||3%|
|Elizabeth Stenhouse||10/10||2487 days||2.28||3%|
|Pia Pitkala||9/10||2507 days||2.24||3%|
|Tanja Schlagermann||10/10||2520 days||2.21||3%|
|Alexander Mukasa||9/10||2520 days||2.21||3%|
|Lydia Kleinkoenen||10/10||2522 days||2.21||3%|
|Jessica Grewe||10/10||2522 days||2.21||3%|
|Katharina Littlemann||9/10||2530 days||2.19||3%|
|Leticia Martin||9/10||2599 days||2.06||3%|
|Jonathan Vondette||10/10||2599 days||2.06||3%|
|Meryem Buchwitz||8/10||2621 days||1.91||2%|
|Jaap & Susanne||8/10||2892 days||1.41||2%|
|Sophie Burge||9/10||3226 days||0.83||1%|
|K Dahmer||10/10||3242 days||0.8||1%|
|Matthias & Ceristiane||9/10||3601 days||0.1||0%|
|Nicky and Andy Prescott||10/10||3616 days||0.07||0%|
|Matthiis & Femke||7/10||3621 days||0.05||0%|
|Jann Clar||10/10||3623 days||0.05||0%|
|Deede K||9/10||3712 days||0.0||0%|
|Christian Moll||7/10||3964 days||0.0||0%|
|Cuz da Maori||10/10||4465 days||0.0||0%|
Several adjustments to the weighted average may be added to improve relevancy and credibility. Lake Marian Track 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.