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 Rankers Booking Service.
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.
84 Valid Reviews
The Rankers Booking Service experience has a total of 85 reviews. There are 84 valid reviews that are included when calculating the ranking score and 1 invalid review 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 84 valid reviews:
The raw data average (mean) for all the Rankers Booking Service valid reviews is 95.36% and is based on 84 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.
|BACHAND Alain||9/10||27 days||99.88||100%|
|anja Grigori-Roth||10/10||27 days||99.88||100%|
|Jranette Billings||9/10||27 days||99.88||100%|
|Steven Miller||10/10||57 days||99.49||99%|
|René van der Molen||10/10||58 days||99.47||99%|
|John Ehrlich||10/10||58 days||99.47||99%|
|Erica Chisholm||10/10||58 days||99.47||99%|
|Paola La Rocca||9/10||58 days||99.47||99%|
|Mike Bromfield||10/10||89 days||98.74||97%|
|paul white||9/10||89 days||98.74||97%|
|Alois Markart||10/10||89 days||98.74||97%|
|VERNET ALEXANDRA||10/10||89 days||98.74||97%|
|Amandine Darnet||10/10||89 days||98.74||97%|
|herve duflot||10/10||89 days||98.74||97%|
|DESIDERIO MOLERO||9/10||119 days||97.76||95%|
|Piotr Lubowicki||10/10||119 days||97.76||95%|
|Christopher Anker||10/10||119 days||97.76||95%|
|Michael Rovinsky||10/10||119 days||97.76||95%|
|Kirsty Gillett||10/10||149 days||96.48||92%|
|Paul Stevens||10/10||150 days||96.43||92%|
|Sabrina Maier||10/10||150 days||96.43||92%|
|M FAIZAL JABAR||10/10||150 days||96.43||92%|
|Bree Lawlor||10/10||150 days||96.43||92%|
|Nusyana Cham Pi||10/10||150 days||96.43||92%|
|Benjamin Bakk||10/10||150 days||96.43||92%|
|Robert Dugyik||10/10||150 days||96.43||92%|
|Loïc Clerc||10/10||150 days||96.43||92%|
|Joe Culbertson||9/10||150 days||96.43||92%|
|Alechia Crown||10/10||150 days||96.43||92%|
|Irene Lanser||8/10||180 days||90.12||77%|
|Susan S||8/10||180 days||90.12||77%|
|Sarah Peres||10/10||180 days||94.87||88%|
|Brian Webber||10/10||180 days||94.87||88%|
|Henry Schenker||10/10||180 days||94.87||88%|
|bat a||9/10||180 days||94.87||88%|
|Judy Holt||8/10||180 days||90.12||77%|
|Taher Hasanali||10/10||180 days||94.87||88%|
|Susan Boyton||10/10||211 days||92.95||83%|
|jeffrey goebel||9/10||211 days||92.95||83%|
|Charlotte Amouret||10/10||211 days||92.95||83%|
|Sophie ROUX||10/10||242 days||90.72||78%|
|Heather McDonald||9/10||242 days||90.72||78%|
|Debra Tolic||10/10||242 days||90.72||78%|
|Chee Kuan Lim||9/10||242 days||90.72||78%|
|G Visser||10/10||242 days||90.72||78%|
|DEBBIE LAMBERT||10/10||242 days||90.72||78%|
|Gina DAVIS||10/10||242 days||90.72||78%|
|Paul Mullooly||10/10||242 days||90.72||78%|
|Lucie PHILIPPE||10/10||242 days||90.72||78%|
|Emily Joyce||9/10||272 days||88.28||72%|
|Sergio Meana Martinez||10/10||272 days||88.28||72%|
|Evelyn Toh||10/10||272 days||88.28||72%|
|Jean-Luc Brocard||9/10||272 days||88.28||72%|
|Deborah Vitali||8/10||303 days||81.18||55%|
|Jeramy Janoski||10/10||303 days||85.45||65%|
|Daniel Benjamin||10/10||303 days||85.45||65%|
|Sarah Bailey||10/10||303 days||85.45||65%|
|Michael Jost||10/10||303 days||85.45||65%|
|Van Weigel||10/10||303 days||85.45||65%|
|Lizzie Lacey-Brennan||10/10||303 days||85.45||65%|
|Chia Shen Cheng||10/10||332 days||82.53||58%|
|Gilbert Deveaux||10/10||332 days||82.53||58%|
|Kathryn Conrad||10/10||333 days||82.43||58%|
|Fannie Bernier||9/10||333 days||82.43||58%|
|hannah murray||8/10||333 days||78.31||48%|
|Whitney Bak||10/10||333 days||82.43||58%|
|Sandra Cabrera||9/10||333 days||82.43||58%|
|Wendy Leung||10/10||333 days||82.43||58%|
|Adrian Trumper||9/10||333 days||82.43||58%|
|Marcos Tosto||7/10||333 days||75.01||40%|
|John van Herk||9/10||333 days||82.43||58%|
|Teun Steur||9/10||333 days||82.43||58%|
|JOSY ANANTA WIJAYA||10/10||364 days||79.0||50%|
|Citra Lestari||10/10||364 days||79.0||50%|
|wendy legge||10/10||364 days||79.0||50%|
|ALEX RIVERO||9/10||364 days||79.0||50%|
|David Caravati||10/10||364 days||79.0||50%|
|F B||8/10||392 days||71.87||33%|
|MERVYN ADAMS||6/10||422 days||59.58||3%|
|Chan Hoe Yip||8/10||453 days||64.11||14%|
|Ana Segota||10/10||483 days||63.03||12%|
|Mark Lechner||10/10||483 days||63.03||12%|
|Richard Tallack||10/10||514 days||58.14||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 Rankers Booking Service 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 Rankers Booking Service 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 Rankers Booking Service experience has been adjusted for 1 day. 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.