Hey, 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 Rob Roy Track.
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.
131 Valid Reviews
The Rob Roy Track experience has a total of 132 reviews. There are 131 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 131 valid reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 62 |
|
47% |
9/10 | 44 |
|
34% |
8/10 | 16 |
|
12% |
7/10 | 4 |
|
3% |
6/10 | 3 |
|
2% |
5/10 | 2 |
|
2% |
4/10 | 0 |
|
0% |
3/10 | 0 |
|
0% |
2/10 | 0 |
|
0% |
1/10 | 0 |
|
0% |
91.60% Average
The raw data average (mean) for all the Rob Roy Track valid reviews is 91.60% and is based on 131 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
119 Face-to-Face Reviews
The Rankers team meets with travellers while they’re in New Zealand and conducts face-to-face surveys. These reviews, in our opinion, are the most trusted in the industry and represent a critical control sample. To our knowledge, we are the only travel review website in the world that has gone to this extent.
More about face-to-face reviews
Within the 131 valid reviews, the experience has 119 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 119 face-to-face reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 55 |
|
46% |
9/10 | 39 |
|
33% |
8/10 | 16 |
|
13% |
7/10 | 4 |
|
3% |
6/10 | 3 |
|
3% |
5/10 | 2 |
|
2% |
4/10 | 0 |
|
0% |
3/10 | 0 |
|
0% |
2/10 | 0 |
|
0% |
1/10 | 0 |
|
0% |
91.18% Average
The raw data average (mean) for all the Rob Roy Track face-to-face reviews is 91.18% and is based on 119 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.
94.66%
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 |
---|---|---|---|
DANIEL SAN | 10/10 | 702 days | 100% |
Sally Caboche | 10/10 | 2742 days | 4% |
Wolf | 10/10 | 2792 days | 4% |
Sylvie Meganck | 10/10 | 2792 days | 4% |
Ylva Teleman | 10/10 | 2798 days | 4% |
Sylvie Meganck | 10/10 | 2802 days | 4% |
Martin Marek | 10/10 | 2810 days | 4% |
Felicity Hughes | 9/10 | 2843 days | 4% |
Alex Hah | 10/10 | 2844 days | 4% |
James Macguire | 10/10 | 2844 days | 4% |
Nathalie | 10/10 | 2886 days | 4% |
Simon | 10/10 | 2886 days | 4% |
Janina | 9/10 | 2904 days | 4% |
Denis Schall | 10/10 | 2912 days | 4% |
Charlotte Molesworth | 9/10 | 2918 days | 4% |
Marc | 10/10 | 2919 days | 4% |
Kirsty Smith | 10/10 | 2924 days | 4% |
MARK CURPHEY | 10/10 | 2933 days | 4% |
Diego Casanova | 10/10 | 2933 days | 4% |
Cat Johnston | 10/10 | 2933 days | 4% |
James Jackson | 10/10 | 2934 days | 4% |
Maura O'Connell | 10/10 | 2938 days | 4% |
Steve Smith | 8/10 | 3140 days | 3% |
Huon | 8/10 | 3141 days | 3% |
Cecile | 9/10 | 3141 days | 3% |
Daniel Idiart | 10/10 | 3152 days | 3% |
Sarah Dial | 7/10 | 3153 days | 3% |
Milan Maiwald | 9/10 | 3154 days | 3% |
Gessica | 8/10 | 3156 days | 3% |
Szu-Yi Hsu | 7/10 | 3158 days | 3% |
Chao Lai | 9/10 | 3158 days | 3% |
Anika D | 9/10 | 3158 days | 3% |
Dominique | 6/10 | 3159 days | 3% |
Jiri Sojka | 10/10 | 3163 days | 3% |
Jana Formankoua | 9/10 | 3163 days | 3% |
Clotilde Graziani | 10/10 | 3165 days | 3% |
Johannes Eisel | 9/10 | 3165 days | 3% |
Sydney Lupton | 5/10 | 3170 days | 2% |
Joaquin Gruffat | 9/10 | 3174 days | 3% |
Lili Souris | 10/10 | 3177 days | 3% |
Elodie Bardolle | 8/10 | 3177 days | 3% |
Laurent Petit | 10/10 | 3192 days | 3% |
Sara and Antoine | 9/10 | 3222 days | 3% |
Hannah Stiles | 10/10 | 3222 days | 3% |
Monika Dippel | 10/10 | 3242 days | 3% |
Nicole and Elliott | 10/10 | 3258 days | 3% |
Elisabet Millet | 10/10 | 3263 days | 3% |
Graham Lighner | 10/10 | 3269 days | 3% |
Danica Vrsaljko | 10/10 | 3520 days | 2% |
Markus Johannes | 9/10 | 3520 days | 2% |
Kristina Farkas | 10/10 | 3549 days | 2% |
Finn and Melanie Lorbeer | 10/10 | 3555 days | 2% |
Barbara | 9/10 | 3607 days | 2% |
Samuel Tohko | 10/10 | 3607 days | 2% |
Shelly Weissbrem | 10/10 | 3624 days | 2% |
Julie | 9/10 | 3654 days | 2% |
Marilyn Nadeau | 9/10 | 3838 days | 1% |
Helen Olsson | 10/10 | 3875 days | 1% |
Max Backelandt | 9/10 | 3878 days | 1% |
Marie Toulemonde | 10/10 | 3878 days | 1% |
Chris Handley | 9/10 | 3895 days | 1% |
Charlotte Casey | 8/10 | 3895 days | 1% |
Igor | 9/10 | 3899 days | 1% |
Olivier Carval | 9/10 | 3901 days | 1% |
Francisco Pablo Miguel | 8/10 | 3924 days | 1% |
Gal Bero | 10/10 | 3961 days | 1% |
Daniel McAlpine | 10/10 | 3963 days | 1% |
Kellie | 10/10 | 3963 days | 1% |
Jitka Krejcova | 10/10 | 4250 days | 0% |
Michal Sturma | 10/10 | 4250 days | 0% |
Raelene Vine | 9/10 | 4264 days | 0% |
Petra Blumberg | 9/10 | 4270 days | 0% |
Guillot | 9/10 | 4271 days | 0% |
Fraser Goldsmith | 10/10 | 4288 days | 0% |
Jacquemard | 8/10 | 4359 days | 0% |
Karsten Meyer | 9/10 | 4369 days | 0% |
Loesje | 9/10 | 4384 days | 1% |
Rien | 8/10 | 4621 days | 1% |
Carole Carter | 10/10 | 4621 days | 1% |
Daniel Patricia | 8/10 | 4632 days | 1% |
Sam | 10/10 | 4633 days | 1% |
Les Barnes | 9/10 | 4638 days | 1% |
Karin Laurev | 10/10 | 4638 days | 1% |
Mike & Jennie | 9/10 | 4640 days | 1% |
Lyn Deavin | 6/10 | 4641 days | 1% |
Diane Moss | 7/10 | 4643 days | 1% |
Kurt & Noemi Buhler | 9/10 | 4653 days | 1% |
Frank & Julia | 9/10 | 4657 days | 1% |
budge69 | 10/10 | 4658 days | 1% |
Mike1952 | 9/10 | 4658 days | 1% |
Urban Reifler | 9/10 | 4669 days | 1% |
Kaelin | 10/10 | 4734 days | 1% |
Scott & Madeleine Bancroft | 10/10 | 4740 days | 1% |
Allison Meyoz | 8/10 | 4940 days | 1% |
Fontvieille | 5/10 | 4947 days | 1% |
Marc Edwards | 9/10 | 4953 days | 1% |
Ken Talan | 10/10 | 4960 days | 1% |
Laurent P | 10/10 | 4967 days | 1% |
Matthias Joos | 9/10 | 4984 days | 1% |
Ann-Kathrin Auditor | 10/10 | 4989 days | 1% |
Mannebach & Siejert | 8/10 | 4992 days | 1% |
Laurent Michon | 8/10 | 4993 days | 1% |
Brendan Dunn | 9/10 | 4995 days | 1% |
Carmel | 8/10 | 4999 days | 1% |
Sandra | 9/10 | 5000 days | 1% |
Nataly Loewidt | 10/10 | 5015 days | 1% |
Tom Hill | 8/10 | 5018 days | 1% |
Darrell & Michelle Lamb | 9/10 | 5277 days | 1% |
Ann Michle | 10/10 | 5280 days | 1% |
Inbar Yizhar Barnea | 9/10 | 5348 days | 1% |
David Morton | 9/10 | 5362 days | 1% |
Paula Martinez | 10/10 | 5363 days | 1% |
Chris el capitan | 10/10 | 5365 days | 1% |
Huber | 10/10 | 5382 days | 1% |
Dick Rosman | 9/10 | 5384 days | 1% |
Rob | 9/10 | 5386 days | 1% |
Jeremy & Sarah Rind | 6/10 | 5387 days | 1% |
S Luis Van Oler | 8/10 | 5393 days | 1% |
mariekef | 9/10 | 5434 days | 1% |
simonbo | 10/10 | 5434 days | 1% |
alasiac | 10/10 | 5450 days | 1% |
Katrin Wennin | 10/10 | 5461 days | 1% |
johanw | 9/10 | 5566 days | 1% |
linus | 9/10 | 5576 days | 1% |
AndreaT | 10/10 | 5690 days | 1% |
JasminA | 7/10 | 5694 days | 1% |
Philipp | 9/10 | 5694 days | 1% |
Enno Brehm | 9/10 | 5706 days | 1% |
HovingL | 10/10 | 5706 days | 1% |
Gillian | 8/10 | 5714 days | 1% |
kempt | 10/10 | 6059 days | 1% |
No Adjustment
Several adjustments to the weighted average may be added to improve relevancy and credibility. Rob Roy Track does not meet the criteria for any of these adjustments to apply.
0.47% 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 folk 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.
95%
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.