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.
96.19%
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 | 777 days | 100% |
BACHAND Alain | 9/10 | 1781 days | 2% |
anja Grigori-Roth | 10/10 | 1781 days | 2% |
Jranette Billings | 9/10 | 1781 days | 2% |
Steven Miller | 10/10 | 1811 days | 2% |
René van der Molen | 10/10 | 1812 days | 2% |
John Ehrlich | 10/10 | 1812 days | 2% |
Erica Chisholm | 10/10 | 1812 days | 2% |
Paola La Rocca | 9/10 | 1812 days | 2% |
Mike Bromfield | 10/10 | 1843 days | 2% |
paul white | 9/10 | 1843 days | 2% |
Alois Markart | 10/10 | 1843 days | 2% |
VERNET ALEXANDRA | 10/10 | 1843 days | 2% |
Amandine Darnet | 10/10 | 1843 days | 2% |
herve duflot | 10/10 | 1843 days | 2% |
David | 10/10 | 1872 days | 2% |
DESIDERIO MOLERO | 9/10 | 1873 days | 2% |
Piotr Lubowicki | 10/10 | 1873 days | 2% |
Christopher Anker | 10/10 | 1873 days | 2% |
Michael Rovinsky | 10/10 | 1873 days | 2% |
Kirsty Gillett | 10/10 | 1903 days | 2% |
Paul Stevens | 10/10 | 1904 days | 2% |
Sabrina Maier | 10/10 | 1904 days | 2% |
M FAIZAL JABAR | 10/10 | 1904 days | 2% |
Bree Lawlor | 10/10 | 1904 days | 2% |
Nusyana Cham Pi | 10/10 | 1904 days | 2% |
Benjamin Bakk | 10/10 | 1904 days | 2% |
Robert Dugyik | 10/10 | 1904 days | 2% |
Loïc Clerc | 10/10 | 1904 days | 2% |
Joe Culbertson | 9/10 | 1904 days | 2% |
Alechia Crown | 10/10 | 1904 days | 2% |
Irene Lanser | 8/10 | 1934 days | 2% |
Susan S | 8/10 | 1934 days | 2% |
Sarah Peres | 10/10 | 1934 days | 2% |
Brian Webber | 10/10 | 1934 days | 2% |
Henry Schenker | 10/10 | 1934 days | 2% |
bat a | 9/10 | 1934 days | 2% |
Judy Holt | 8/10 | 1934 days | 2% |
Taher Hasanali | 10/10 | 1934 days | 2% |
Susan Boyton | 10/10 | 1965 days | 2% |
jeffrey goebel | 9/10 | 1965 days | 2% |
Charlotte Amouret | 10/10 | 1965 days | 2% |
Sophie ROUX | 10/10 | 1996 days | 2% |
Heather McDonald | 9/10 | 1996 days | 1% |
Debra Tolic | 10/10 | 1996 days | 2% |
Chee Kuan Lim | 9/10 | 1996 days | 1% |
G Visser | 10/10 | 1996 days | 2% |
DEBBIE LAMBERT | 10/10 | 1996 days | 2% |
Gina DAVIS | 10/10 | 1996 days | 2% |
Paul Mullooly | 10/10 | 1996 days | 2% |
Lucie PHILIPPE | 10/10 | 1996 days | 2% |
Emily Joyce | 9/10 | 2026 days | 1% |
Sergio Meana Martinez | 10/10 | 2026 days | 1% |
Evelyn Toh | 10/10 | 2026 days | 1% |
Jean-Luc Brocard | 9/10 | 2026 days | 1% |
Deborah Vitali | 8/10 | 2057 days | 1% |
Jeramy Janoski | 10/10 | 2057 days | 1% |
Daniel Benjamin | 10/10 | 2057 days | 1% |
Sarah Bailey | 10/10 | 2057 days | 1% |
Michael Jost | 10/10 | 2057 days | 1% |
Van Weigel | 10/10 | 2057 days | 1% |
Lizzie Lacey-Brennan | 10/10 | 2057 days | 1% |
Chia Shen Cheng | 10/10 | 2086 days | 1% |
Gilbert Deveaux | 10/10 | 2086 days | 1% |
Kathryn Conrad | 10/10 | 2087 days | 1% |
Fannie Bernier | 9/10 | 2087 days | 1% |
hannah murray | 8/10 | 2087 days | 1% |
Whitney Bak | 10/10 | 2087 days | 1% |
Sandra Cabrera | 9/10 | 2087 days | 1% |
Wendy Leung | 10/10 | 2087 days | 1% |
Adrian Trumper | 9/10 | 2087 days | 1% |
Marcos Tosto | 7/10 | 2087 days | 1% |
John van Herk | 9/10 | 2087 days | 1% |
Teun Steur | 9/10 | 2087 days | 1% |
JOSY ANANTA WIJAYA | 10/10 | 2118 days | 1% |
Citra Lestari | 10/10 | 2118 days | 1% |
wendy legge | 10/10 | 2118 days | 1% |
ALEX RIVERO | 9/10 | 2118 days | 1% |
David Caravati | 10/10 | 2118 days | 1% |
F B | 8/10 | 2146 days | 1% |
MERVYN ADAMS | 6/10 | 2176 days | 0% |
Chan Hoe Yip | 8/10 | 2207 days | 1% |
Ana Segota | 10/10 | 2237 days | 1% |
Mark Lechner | 10/10 | 2237 days | 1% |
Richard Tallack | 10/10 | 2268 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.
-4.05% Adjustment
There may be an adjustment if this experience hasn't received any reviews within the last 42 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 | -3.99% |
198 | -4.01% |
199 | -4.03% |
200 | -4.05% |
201 | -4.07% |
202 | -4.09% |
203 | -4.11% |
… | … |
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.