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.
95 Valid Reviews
The Kiwi Motorhomes experience has a total of 103 reviews. There are 95 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 95 valid reviews, the experience has 2 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 95 valid reviews:
The raw data average (mean) for all the Kiwi Motorhomes valid reviews is 95.58% and is based on 95 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.
|Gabriele Kiessling||10/10||15 days||99.96||100%|
|jay davies||9/10||47 days||99.65||100%|
|Hannah Yeong||10/10||47 days||99.65||100%|
|Phil Kramer||9/10||47 days||99.65||100%|
|Susie Jacob||10/10||76 days||99.08||99%|
|Armond Philmon||10/10||77 days||99.06||99%|
|Marek Piasta||10/10||77 days||99.06||99%|
|Carol Warrington||7/10||107 days||98.19||98%|
|Sharon O'neill||9/10||107 days||98.19||98%|
|Joao Almeida||8/10||169 days||95.47||95%|
|jasper billings||10/10||199 days||93.72||94%|
|Ray and Jan Charles||9/10||261 days||89.21||89%|
|jenny goh||10/10||261 days||89.21||89%|
|Belinda Morgan||9/10||290 days||86.67||87%|
|Karl Cundall||10/10||290 days||86.67||87%|
|Kim and Ron Tito||9/10||290 days||86.67||87%|
|Vanessa Lonsdale||10/10||291 days||86.58||86%|
|Bryce McKeown||9/10||291 days||86.58||86%|
|Terence Withers||8/10||321 days||83.67||83%|
|ELISE THOLLET||10/10||322 days||83.57||83%|
|Cheryl & Michael Miller||10/10||322 days||83.57||83%|
|Joel Sayre||10/10||349 days||80.7||80%|
|Tanya Duncan||10/10||380 days||77.12||77%|
|Douglas Anderson||8/10||380 days||77.12||77%|
|CATHRYN MCGRATH||10/10||411 days||73.23||73%|
|Wouter Dillien||10/10||411 days||73.23||73%|
|Jason Witheld||10/10||441 days||69.18||69%|
|Jessica Eggleston||10/10||441 days||69.18||69%|
|Tina Mcm||9/10||502 days||60.07||60%|
|Ian Hutton||9/10||533 days||54.98||54%|
|Steve Brennan||9/10||564 days||49.68||49%|
|Zac James||10/10||564 days||49.68||49%|
|Luke Bingle||10/10||564 days||49.68||49%|
|Gareth Hale||8/10||595 days||44.62||44%|
|Janiel Ternura||10/10||625 days||40.0||39%|
|Michael Spicer||10/10||625 days||40.0||39%|
|GARRY and MARIA Steele||10/10||655 days||35.68||35%|
|Achim Schafer||10/10||655 days||35.68||35%|
|Robert Darby||10/10||745 days||24.41||23%|
|David Hocde||10/10||745 days||24.41||23%|
|Lisa & Eric Brüggemann||10/10||745 days||24.41||23%|
|Linda Stans||10/10||776 days||21.13||20%|
|Maria Steele||10/10||806 days||18.23||17%|
|Jaroslaw Lukasik||10/10||806 days||18.23||17%|
|Andy Shilladay||10/10||806 days||18.23||17%|
|Robyn Greening||10/10||837 days||15.55||14%|
|Barbara Halberg||8/10||1020 days||5.89||5%|
|Sam Kydd||9/10||1051 days||5.31||4%|
|Jim Gifford||10/10||1051 days||5.31||4%|
|Josephine Chesby||9/10||1080 days||5.04||4%|
|Charlotte Stanbury||10/10||1080 days||5.04||4%|
|gerry white||10/10||1081 days||5.03||4%|
|Jeremy Bird||10/10||1111 days||4.98||4%|
|Margaret Hackett||9/10||1111 days||4.98||4%|
|Ty Birkett||10/10||1143 days||4.93||4%|
|Christopher Claes||10/10||1172 days||4.89||4%|
|Annette Vartha||10/10||1203 days||4.85||4%|
|Lee Spinks||9/10||1386 days||4.6||3%|
|Liz Charles||10/10||1386 days||4.6||3%|
|Louise C||10/10||1417 days||4.56||3%|
|David Spriggs||10/10||1418 days||4.56||3%|
|Heinrich Ballhaus||10/10||1445 days||4.52||3%|
|Jennifer Greenholt||10/10||1476 days||4.48||3%|
|Jayson Herewini||9/10||1476 days||4.48||3%|
|Michael Michael and Claudia||10/10||1476 days||4.48||3%|
|Fiona Whyte||10/10||1476 days||4.48||3%|
|Chris & Anne||10/10||1598 days||4.31||3%|
|Craig Dunphy||10/10||1842 days||3.98||3%|
|Eric T.||10/10||1873 days||3.93||3%|
|bren Herbert||10/10||1934 days||3.85||3%|
|Johan Sundstrom||10/10||2207 days||3.48||2%|
|Peter Aston||8/10||3970 days||1.27||0%|
Several adjustments to the weighted average may be added to improve relevancy and credibility. Kiwi Motorhomes 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.