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 Kiwi Motorhomes.
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.
140 Valid Reviews
The Kiwi Motorhomes experience has a total of 148 reviews. There are 140 valid reviews that are included when calculating the ranking score and 8 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 140 valid reviews, the experience has 2 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 140 valid reviews:
The raw data average (mean) for all the Kiwi Motorhomes valid reviews is 96.64% and is based on 140 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.
|Yariv Rachmani||10/10||25 days||99.9||100%|
|Janice Pool||10/10||56 days||99.5||100%|
|Sharon Gibbons||10/10||56 days||99.5||100%|
|DAMIEN BENARD||10/10||86 days||98.83||99%|
|Dani & Matt||10/10||86 days||98.83||99%|
|cristina ordas||10/10||86 days||98.83||99%|
|Matthew Pan||10/10||147 days||96.58||97%|
|Trina Newbold||10/10||147 days||96.58||97%|
|Chala Chase||10/10||178 days||94.98||95%|
|Txell Soy||10/10||178 days||94.98||95%|
|Rokiah Adam||10/10||239 days||90.95||91%|
|Rick Fontaine||10/10||270 days||88.45||89%|
|enrique bekerle||10/10||270 days||88.45||89%|
|Francis T||10/10||270 days||88.45||89%|
|Michelle Williams||10/10||270 days||88.45||89%|
|SUE BOOKER||10/10||300 days||85.74||86%|
|Dusty Miller||10/10||300 days||85.74||86%|
|Josh P.||10/10||300 days||85.74||86%|
|Martin Arnold||10/10||300 days||85.74||86%|
|Mario Koenig||10/10||300 days||85.74||86%|
|Will Langdon||10/10||300 days||85.74||86%|
|Daniel Soares||9/10||331 days||82.64||83%|
|Kerry Morris & Barny Harper||10/10||331 days||82.64||83%|
|Kees en Jacqueline||10/10||331 days||82.64||83%|
|Kasey Hope||9/10||331 days||82.64||83%|
|Jonathan Tan||10/10||331 days||82.64||83%|
|Joanna Duncan||9/10||331 days||82.64||83%|
|Tuval Rabina||10/10||359 days||79.58||80%|
|Adam Browne||10/10||359 days||79.58||80%|
|Emily Petersen||10/10||359 days||79.58||80%|
|Lisa McCullough||10/10||359 days||79.58||80%|
|Simon Allam||10/10||359 days||79.58||80%|
|ronald smael||10/10||359 days||79.58||80%|
|Gabriele Kiessling||10/10||390 days||75.9||76%|
|Marcus Vinicius Oliveira Andrade||10/10||390 days||75.9||76%|
|Caroline Langen||8/10||390 days||72.1||72%|
|Klaus Dieter Sowka||10/10||390 days||75.9||76%|
|Bo Chen||10/10||390 days||75.9||76%|
|Bernhard Baumann||10/10||390 days||75.9||76%|
|jay davies||9/10||421 days||71.91||72%|
|Hannah Yeong||10/10||421 days||71.91||72%|
|Phil Kramer||9/10||421 days||71.91||72%|
|Susie Jacob||10/10||451 days||67.77||68%|
|Armond Philmon||10/10||451 days||67.77||68%|
|Marek Piasta||10/10||451 days||67.77||68%|
|Carol Warrington||7/10||482 days||57.5||58%|
|Sharon O'neill||9/10||482 days||63.19||63%|
|Joao Almeida||8/10||543 days||50.61||51%|
|jasper billings||10/10||574 days||48.01||48%|
|Ray and Jan Charles||9/10||635 days||38.53||39%|
|jenny goh||10/10||635 days||38.53||39%|
|Belinda Morgan||9/10||665 days||34.3||34%|
|Karl Cundall||10/10||665 days||34.3||34%|
|Kim and Ron Tito||9/10||665 days||34.3||34%|
|Vanessa Lonsdale||10/10||665 days||34.3||34%|
|Bryce McKeown||9/10||665 days||34.3||34%|
|Terence Withers||8/10||696 days||28.72||29%|
|ELISE THOLLET||10/10||696 days||30.23||30%|
|Cheryl & Michael Miller||10/10||696 days||30.23||30%|
|Joel Sayre||10/10||724 days||26.81||27%|
|Tanya Duncan||10/10||755 days||23.32||23%|
|Douglas Anderson||8/10||755 days||22.15||22%|
|CATHRYN MCGRATH||10/10||786 days||20.13||20%|
|Wouter Dillien||10/10||786 days||20.13||20%|
|Jason Witheld||10/10||816 days||17.33||17%|
|Jessica Eggleston||10/10||816 days||17.33||17%|
|Tina Mcm||9/10||877 days||12.53||13%|
|Ian Hutton||9/10||908 days||10.54||11%|
|Steve Brennan||9/10||939 days||8.86||9%|
|Zac James||10/10||939 days||8.86||9%|
|Luke Bingle||10/10||939 days||8.86||9%|
|Gareth Hale||8/10||969 days||7.14||7%|
|Janiel Ternura||10/10||1000 days||6.43||6%|
|Michael Spicer||10/10||1000 days||6.43||6%|
|GARRY and MARIA Steele||10/10||1030 days||5.67||6%|
|Achim Schafer||10/10||1030 days||5.67||6%|
|Robert Darby||10/10||1120 days||4.95||5%|
|David Hocde||10/10||1120 days||4.95||5%|
|Lisa & Eric Brüggemann||10/10||1120 days||4.95||5%|
|Linda Stans||10/10||1151 days||4.89||5%|
|Maria Steele||10/10||1181 days||4.83||5%|
|Jaroslaw Lukasik||10/10||1181 days||4.83||5%|
|Andy Shilladay||10/10||1181 days||4.83||5%|
|Robyn Greening||10/10||1212 days||4.77||5%|
|Barbara Halberg||8/10||1395 days||4.19||4%|
|Sam Kydd||9/10||1426 days||4.35||4%|
|Jim Gifford||10/10||1426 days||4.35||4%|
|Josephine Chesby||9/10||1455 days||4.3||4%|
|Charlotte Stanbury||10/10||1455 days||4.3||4%|
|gerry white||10/10||1455 days||4.3||4%|
|Jeremy Bird||10/10||1486 days||4.23||4%|
|Margaret Hackett||9/10||1486 days||4.23||4%|
|Ty Birkett||10/10||1517 days||4.17||4%|
|Christopher Claes||10/10||1547 days||4.12||4%|
|Annette Vartha||10/10||1578 days||4.05||4%|
|Lee Spinks||9/10||1761 days||3.7||4%|
|Liz Charles||10/10||1761 days||3.7||4%|
|Louise C||10/10||1792 days||3.64||4%|
|David Spriggs||10/10||1792 days||3.64||4%|
|Heinrich Ballhaus||10/10||1820 days||3.58||4%|
|Jennifer Greenholt||10/10||1851 days||3.52||4%|
|Jayson Herewini||9/10||1851 days||3.52||4%|
|Michael Michael and Claudia||10/10||1851 days||3.52||4%|
|Fiona Whyte||10/10||1851 days||3.52||4%|
|Chris & Anne||10/10||1973 days||3.28||3%|
|Craig Dunphy||10/10||2216 days||2.81||3%|
|Eric T.||10/10||2247 days||2.75||3%|
|bren Herbert||10/10||2308 days||2.63||3%|
|Johan Sundstrom||10/10||2581 days||2.09||2%|
|Peter Aston||8/10||4344 days||0.0||0%|
Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.
A reasonable number of reviews are necessary in order for the average to be credible and for an experience to take a prime position within the ranking tables. As such, experiences with only a few reviews have a moderated score. This does not mean that the experience or the reviews can't be trusted. The Kiwi Motorhomes experience has plenty of reviews and does not meet the criteria for any adjustment.
There may be an adjustment if an experience hasn't received any reviews within the last 60 days. However the Kiwi Motorhomes experience does not meet the criteria for any adjustment.
In addition, an experience's ranking score may be adjusted for each day there is no new ranking. After 1 day the adjustment comes into effect. The maximum number of days that can be adjusted for is 199 days.
The Kiwi Motorhomes experience has been adjusted for 7 days. Adjustments are according to the following table.
The final ranking score once adjustments and 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.