Hi, 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 info@rankers.co.nz. We don't believe this is perfect or complete so we're always interested in ways we might make improvements.
85 Valid Reviews
The Rankers Booking Service experience has a total of 86 reviews. There are 85 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 85 valid reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 58 |
|
68% |
9/10 | 18 |
|
21% |
8/10 | 7 |
|
8% |
7/10 | 1 |
|
1% |
6/10 | 1 |
|
1% |
5/10 | 0 |
|
0% |
4/10 | 0 |
|
0% |
3/10 | 0 |
|
0% |
2/10 | 0 |
|
0% |
1/10 | 0 |
|
0% |
95.41% Average
The raw data average (mean) for all the Rankers Booking Service valid reviews is 95.41% and is based on 85 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
96.20%
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.
Reviewer | Rating | Age | Relative Weight |
---|---|---|---|
Mary Anne | 10/10 | 762 days | 100% |
BACHAND Alain | 9/10 | 1766 days | 2% |
anja Grigori-Roth | 10/10 | 1766 days | 2% |
Jranette Billings | 9/10 | 1766 days | 2% |
Steven Miller | 10/10 | 1796 days | 2% |
René van der Molen | 10/10 | 1797 days | 2% |
John Ehrlich | 10/10 | 1797 days | 2% |
Erica Chisholm | 10/10 | 1797 days | 2% |
Paola La Rocca | 9/10 | 1797 days | 2% |
Mike Bromfield | 10/10 | 1828 days | 2% |
paul white | 9/10 | 1828 days | 2% |
Alois Markart | 10/10 | 1828 days | 2% |
VERNET ALEXANDRA | 10/10 | 1828 days | 2% |
Amandine Darnet | 10/10 | 1828 days | 2% |
herve duflot | 10/10 | 1828 days | 2% |
David | 10/10 | 1857 days | 2% |
DESIDERIO MOLERO | 9/10 | 1858 days | 2% |
Piotr Lubowicki | 10/10 | 1858 days | 2% |
Christopher Anker | 10/10 | 1858 days | 2% |
Michael Rovinsky | 10/10 | 1858 days | 2% |
Kirsty Gillett | 10/10 | 1888 days | 2% |
Paul Stevens | 10/10 | 1889 days | 2% |
Sabrina Maier | 10/10 | 1889 days | 2% |
M FAIZAL JABAR | 10/10 | 1889 days | 2% |
Bree Lawlor | 10/10 | 1889 days | 2% |
Nusyana Cham Pi | 10/10 | 1889 days | 2% |
Benjamin Bakk | 10/10 | 1889 days | 2% |
Robert Dugyik | 10/10 | 1889 days | 2% |
Loïc Clerc | 10/10 | 1889 days | 2% |
Joe Culbertson | 9/10 | 1889 days | 2% |
Alechia Crown | 10/10 | 1889 days | 2% |
Irene Lanser | 8/10 | 1919 days | 2% |
Susan S | 8/10 | 1919 days | 2% |
Sarah Peres | 10/10 | 1919 days | 2% |
Brian Webber | 10/10 | 1919 days | 2% |
Henry Schenker | 10/10 | 1919 days | 2% |
bat a | 9/10 | 1919 days | 2% |
Judy Holt | 8/10 | 1919 days | 2% |
Taher Hasanali | 10/10 | 1919 days | 2% |
Susan Boyton | 10/10 | 1950 days | 2% |
jeffrey goebel | 9/10 | 1950 days | 2% |
Charlotte Amouret | 10/10 | 1950 days | 2% |
Sophie ROUX | 10/10 | 1981 days | 2% |
Heather McDonald | 9/10 | 1981 days | 1% |
Debra Tolic | 10/10 | 1981 days | 2% |
Chee Kuan Lim | 9/10 | 1981 days | 1% |
G Visser | 10/10 | 1981 days | 2% |
DEBBIE LAMBERT | 10/10 | 1981 days | 2% |
Gina DAVIS | 10/10 | 1981 days | 2% |
Paul Mullooly | 10/10 | 1981 days | 2% |
Lucie PHILIPPE | 10/10 | 1981 days | 2% |
Emily Joyce | 9/10 | 2011 days | 1% |
Sergio Meana Martinez | 10/10 | 2011 days | 1% |
Evelyn Toh | 10/10 | 2011 days | 1% |
Jean-Luc Brocard | 9/10 | 2011 days | 1% |
Deborah Vitali | 8/10 | 2042 days | 1% |
Jeramy Janoski | 10/10 | 2042 days | 1% |
Daniel Benjamin | 10/10 | 2042 days | 1% |
Sarah Bailey | 10/10 | 2042 days | 1% |
Michael Jost | 10/10 | 2042 days | 1% |
Van Weigel | 10/10 | 2042 days | 1% |
Lizzie Lacey-Brennan | 10/10 | 2042 days | 1% |
Chia Shen Cheng | 10/10 | 2071 days | 1% |
Gilbert Deveaux | 10/10 | 2071 days | 1% |
Kathryn Conrad | 10/10 | 2072 days | 1% |
Fannie Bernier | 9/10 | 2072 days | 1% |
hannah murray | 8/10 | 2072 days | 1% |
Whitney Bak | 10/10 | 2072 days | 1% |
Sandra Cabrera | 9/10 | 2072 days | 1% |
Wendy Leung | 10/10 | 2072 days | 1% |
Adrian Trumper | 9/10 | 2072 days | 1% |
Marcos Tosto | 7/10 | 2072 days | 1% |
John van Herk | 9/10 | 2072 days | 1% |
Teun Steur | 9/10 | 2072 days | 1% |
JOSY ANANTA WIJAYA | 10/10 | 2103 days | 1% |
Citra Lestari | 10/10 | 2103 days | 1% |
wendy legge | 10/10 | 2103 days | 1% |
ALEX RIVERO | 9/10 | 2103 days | 1% |
David Caravati | 10/10 | 2103 days | 1% |
F B | 8/10 | 2131 days | 1% |
MERVYN ADAMS | 6/10 | 2161 days | 0% |
Chan Hoe Yip | 8/10 | 2192 days | 1% |
Ana Segota | 10/10 | 2222 days | 1% |
Mark Lechner | 10/10 | 2222 days | 1% |
Richard Tallack | 10/10 | 2253 days | 1% |
Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.
No Adjustment
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.
-4.07% Adjustment
There may be an adjustment if this experience hasn't received any reviews within the last 43 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 200 days. Due to the seasonal nature of many businesses, this adjustment is applied dynamically throughout the year.
The Rankers Booking Service experience has been adjusted for 200 days. Adjustments are according to the following table.
Days | Adjustment |
---|---|
… | … |
197 | -4.01% |
198 | -4.03% |
199 | -4.05% |
200 | -4.07% |
201 | -4.09% |
202 | -4.11% |
203 | -4.13% |
… | … |
0.73% Adjustment
Every experience's review score is adjusted to balance out the disproportional number of negative reviews that are contributed.
You won't be surprised to learn that disgruntled customers are more likely to leave a review than happy ones. They are motivated to share their experience and warn others. We consider this a good thing and it's why reading the reviews is important. However we've learned it can misrepresent the experience in a more overall sense.
We apply a balancing adjustment to counteract this effect and ensure the ranking score is a more fair representation of the experience. This adjustment is applied equally to all experiences.
93%
The final ranking score once any adjustments, ratings, and rounding has been applied. This value is recalculated each day and a short rolling average is applied. Therefore it may not be precisely accurate based on the other values presented.