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 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.
94.53%
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 | 751 days | 100% |
Sally Caboche | 10/10 | 2790 days | 4% |
Wolf | 10/10 | 2841 days | 4% |
Sylvie Meganck | 10/10 | 2841 days | 4% |
Ylva Teleman | 10/10 | 2847 days | 4% |
Sylvie Meganck | 10/10 | 2851 days | 4% |
Martin Marek | 10/10 | 2859 days | 4% |
Felicity Hughes | 9/10 | 2892 days | 4% |
Alex Hah | 10/10 | 2893 days | 4% |
James Macguire | 10/10 | 2893 days | 4% |
Nathalie | 10/10 | 2935 days | 4% |
Simon | 10/10 | 2935 days | 4% |
Janina | 9/10 | 2953 days | 4% |
Denis Schall | 10/10 | 2961 days | 4% |
Charlotte Molesworth | 9/10 | 2967 days | 4% |
Marc | 10/10 | 2968 days | 4% |
Kirsty Smith | 10/10 | 2973 days | 4% |
MARK CURPHEY | 10/10 | 2982 days | 4% |
Diego Casanova | 10/10 | 2982 days | 4% |
Cat Johnston | 10/10 | 2982 days | 4% |
James Jackson | 10/10 | 2983 days | 4% |
Maura O'Connell | 10/10 | 2987 days | 4% |
Steve Smith | 8/10 | 3189 days | 3% |
Huon | 8/10 | 3190 days | 3% |
Cecile | 9/10 | 3190 days | 3% |
Daniel Idiart | 10/10 | 3201 days | 3% |
Sarah Dial | 7/10 | 3202 days | 3% |
Milan Maiwald | 9/10 | 3203 days | 3% |
Gessica | 8/10 | 3205 days | 3% |
Szu-Yi Hsu | 7/10 | 3207 days | 3% |
Chao Lai | 9/10 | 3207 days | 3% |
Anika D | 9/10 | 3207 days | 3% |
Dominique | 6/10 | 3208 days | 3% |
Jiri Sojka | 10/10 | 3212 days | 3% |
Jana Formankoua | 9/10 | 3212 days | 3% |
Clotilde Graziani | 10/10 | 3214 days | 3% |
Johannes Eisel | 9/10 | 3214 days | 3% |
Sydney Lupton | 5/10 | 3219 days | 2% |
Joaquin Gruffat | 9/10 | 3223 days | 3% |
Lili Souris | 10/10 | 3226 days | 3% |
Elodie Bardolle | 8/10 | 3226 days | 3% |
Laurent Petit | 10/10 | 3241 days | 3% |
Sara and Antoine | 9/10 | 3271 days | 3% |
Hannah Stiles | 10/10 | 3271 days | 3% |
Monika Dippel | 10/10 | 3291 days | 3% |
Nicole and Elliott | 10/10 | 3307 days | 3% |
Elisabet Millet | 10/10 | 3312 days | 3% |
Graham Lighner | 10/10 | 3318 days | 3% |
Danica Vrsaljko | 10/10 | 3569 days | 2% |
Markus Johannes | 9/10 | 3569 days | 2% |
Kristina Farkas | 10/10 | 3598 days | 2% |
Finn and Melanie Lorbeer | 10/10 | 3604 days | 2% |
Barbara | 9/10 | 3656 days | 2% |
Samuel Tohko | 10/10 | 3656 days | 2% |
Shelly Weissbrem | 10/10 | 3673 days | 2% |
Julie | 9/10 | 3702 days | 2% |
Marilyn Nadeau | 9/10 | 3887 days | 1% |
Helen Olsson | 10/10 | 3924 days | 1% |
Max Backelandt | 9/10 | 3927 days | 1% |
Marie Toulemonde | 10/10 | 3927 days | 1% |
Chris Handley | 9/10 | 3944 days | 1% |
Charlotte Casey | 8/10 | 3944 days | 1% |
Igor | 9/10 | 3948 days | 1% |
Olivier Carval | 9/10 | 3950 days | 1% |
Francisco Pablo Miguel | 8/10 | 3973 days | 1% |
Gal Bero | 10/10 | 4010 days | 1% |
Daniel McAlpine | 10/10 | 4012 days | 1% |
Kellie | 10/10 | 4012 days | 1% |
Jitka Krejcova | 10/10 | 4299 days | 0% |
Michal Sturma | 10/10 | 4299 days | 0% |
Raelene Vine | 9/10 | 4313 days | 0% |
Petra Blumberg | 9/10 | 4319 days | 0% |
Guillot | 9/10 | 4320 days | 0% |
Fraser Goldsmith | 10/10 | 4337 days | 0% |
Jacquemard | 8/10 | 4408 days | 1% |
Karsten Meyer | 9/10 | 4418 days | 1% |
Loesje | 9/10 | 4433 days | 1% |
Rien | 8/10 | 4670 days | 1% |
Carole Carter | 10/10 | 4670 days | 1% |
Daniel Patricia | 8/10 | 4681 days | 1% |
Sam | 10/10 | 4682 days | 1% |
Les Barnes | 9/10 | 4687 days | 1% |
Karin Laurev | 10/10 | 4687 days | 1% |
Mike & Jennie | 9/10 | 4689 days | 1% |
Lyn Deavin | 6/10 | 4690 days | 1% |
Diane Moss | 7/10 | 4692 days | 1% |
Kurt & Noemi Buhler | 9/10 | 4702 days | 1% |
Frank & Julia | 9/10 | 4706 days | 1% |
budge69 | 10/10 | 4707 days | 1% |
Mike1952 | 9/10 | 4707 days | 1% |
Urban Reifler | 9/10 | 4718 days | 1% |
Kaelin | 10/10 | 4783 days | 1% |
Scott & Madeleine Bancroft | 10/10 | 4789 days | 1% |
Allison Meyoz | 8/10 | 4989 days | 1% |
Fontvieille | 5/10 | 4996 days | 1% |
Marc Edwards | 9/10 | 5002 days | 1% |
Ken Talan | 10/10 | 5009 days | 1% |
Laurent P | 10/10 | 5016 days | 1% |
Matthias Joos | 9/10 | 5033 days | 1% |
Ann-Kathrin Auditor | 10/10 | 5038 days | 1% |
Mannebach & Siejert | 8/10 | 5041 days | 1% |
Laurent Michon | 8/10 | 5042 days | 1% |
Brendan Dunn | 9/10 | 5044 days | 1% |
Carmel | 8/10 | 5048 days | 1% |
Sandra | 9/10 | 5049 days | 1% |
Nataly Loewidt | 10/10 | 5064 days | 1% |
Tom Hill | 8/10 | 5067 days | 1% |
Darrell & Michelle Lamb | 9/10 | 5326 days | 1% |
Ann Michle | 10/10 | 5329 days | 1% |
Inbar Yizhar Barnea | 9/10 | 5397 days | 1% |
David Morton | 9/10 | 5411 days | 1% |
Paula Martinez | 10/10 | 5412 days | 1% |
Chris el capitan | 10/10 | 5414 days | 1% |
Huber | 10/10 | 5431 days | 1% |
Dick Rosman | 9/10 | 5433 days | 1% |
Rob | 9/10 | 5435 days | 1% |
Jeremy & Sarah Rind | 6/10 | 5436 days | 1% |
S Luis Van Oler | 8/10 | 5442 days | 1% |
mariekef | 9/10 | 5483 days | 1% |
simonbo | 10/10 | 5483 days | 1% |
alasiac | 10/10 | 5499 days | 1% |
Katrin Wennin | 10/10 | 5510 days | 1% |
johanw | 9/10 | 5615 days | 1% |
linus | 9/10 | 5625 days | 1% |
AndreaT | 10/10 | 5739 days | 1% |
JasminA | 7/10 | 5743 days | 1% |
Philipp | 9/10 | 5743 days | 1% |
Enno Brehm | 9/10 | 5755 days | 1% |
HovingL | 10/10 | 5755 days | 1% |
Gillian | 8/10 | 5763 days | 1% |
kempt | 10/10 | 6108 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.
0.48% 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.