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.
94.48%
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 | 792 days | 100% |
Sally Caboche | 10/10 | 2831 days | 5% |
Wolf | 10/10 | 2882 days | 5% |
Sylvie Meganck | 10/10 | 2882 days | 5% |
Ylva Teleman | 10/10 | 2888 days | 5% |
Sylvie Meganck | 10/10 | 2892 days | 5% |
Martin Marek | 10/10 | 2900 days | 5% |
Felicity Hughes | 9/10 | 2933 days | 4% |
Alex Hah | 10/10 | 2934 days | 4% |
James Macguire | 10/10 | 2934 days | 4% |
Nathalie | 10/10 | 2976 days | 4% |
Simon | 10/10 | 2976 days | 4% |
Janina | 9/10 | 2994 days | 4% |
Denis Schall | 10/10 | 3002 days | 4% |
Charlotte Molesworth | 9/10 | 3008 days | 4% |
Marc | 10/10 | 3009 days | 4% |
Kirsty Smith | 10/10 | 3014 days | 4% |
MARK CURPHEY | 10/10 | 3023 days | 4% |
Diego Casanova | 10/10 | 3023 days | 4% |
Cat Johnston | 10/10 | 3023 days | 4% |
James Jackson | 10/10 | 3024 days | 4% |
Maura O'Connell | 10/10 | 3028 days | 4% |
Steve Smith | 8/10 | 3230 days | 3% |
Huon | 8/10 | 3231 days | 3% |
Cecile | 9/10 | 3231 days | 3% |
Daniel Idiart | 10/10 | 3242 days | 3% |
Sarah Dial | 7/10 | 3243 days | 3% |
Milan Maiwald | 9/10 | 3244 days | 3% |
Gessica | 8/10 | 3246 days | 3% |
Szu-Yi Hsu | 7/10 | 3248 days | 3% |
Chao Lai | 9/10 | 3248 days | 3% |
Anika D | 9/10 | 3248 days | 3% |
Dominique | 6/10 | 3249 days | 3% |
Jiri Sojka | 10/10 | 3253 days | 3% |
Jana Formankoua | 9/10 | 3253 days | 3% |
Clotilde Graziani | 10/10 | 3255 days | 3% |
Johannes Eisel | 9/10 | 3255 days | 3% |
Sydney Lupton | 5/10 | 3260 days | 3% |
Joaquin Gruffat | 9/10 | 3264 days | 3% |
Lili Souris | 10/10 | 3267 days | 3% |
Elodie Bardolle | 8/10 | 3267 days | 3% |
Laurent Petit | 10/10 | 3282 days | 3% |
Sara and Antoine | 9/10 | 3312 days | 3% |
Hannah Stiles | 10/10 | 3312 days | 3% |
Monika Dippel | 10/10 | 3332 days | 3% |
Nicole and Elliott | 10/10 | 3348 days | 3% |
Elisabet Millet | 10/10 | 3353 days | 3% |
Graham Lighner | 10/10 | 3359 days | 3% |
Danica Vrsaljko | 10/10 | 3610 days | 2% |
Markus Johannes | 9/10 | 3610 days | 2% |
Kristina Farkas | 10/10 | 3639 days | 2% |
Finn and Melanie Lorbeer | 10/10 | 3645 days | 2% |
Barbara | 9/10 | 3697 days | 2% |
Samuel Tohko | 10/10 | 3697 days | 2% |
Shelly Weissbrem | 10/10 | 3714 days | 2% |
Julie | 9/10 | 3743 days | 2% |
Marilyn Nadeau | 9/10 | 3928 days | 1% |
Helen Olsson | 10/10 | 3965 days | 1% |
Max Backelandt | 9/10 | 3968 days | 1% |
Marie Toulemonde | 10/10 | 3968 days | 1% |
Chris Handley | 9/10 | 3985 days | 1% |
Charlotte Casey | 8/10 | 3985 days | 1% |
Igor | 9/10 | 3989 days | 1% |
Olivier Carval | 9/10 | 3991 days | 1% |
Francisco Pablo Miguel | 8/10 | 4014 days | 1% |
Gal Bero | 10/10 | 4051 days | 1% |
Daniel McAlpine | 10/10 | 4053 days | 1% |
Kellie | 10/10 | 4053 days | 1% |
Jitka Krejcova | 10/10 | 4340 days | 0% |
Michal Sturma | 10/10 | 4340 days | 0% |
Raelene Vine | 9/10 | 4354 days | 0% |
Petra Blumberg | 9/10 | 4360 days | 0% |
Guillot | 9/10 | 4361 days | 0% |
Fraser Goldsmith | 10/10 | 4378 days | 0% |
Jacquemard | 8/10 | 4449 days | 2% |
Karsten Meyer | 9/10 | 4459 days | 2% |
Loesje | 9/10 | 4474 days | 2% |
Rien | 8/10 | 4711 days | 2% |
Carole Carter | 10/10 | 4711 days | 2% |
Daniel Patricia | 8/10 | 4722 days | 2% |
Sam | 10/10 | 4723 days | 2% |
Les Barnes | 9/10 | 4728 days | 2% |
Karin Laurev | 10/10 | 4728 days | 2% |
Mike & Jennie | 9/10 | 4730 days | 2% |
Lyn Deavin | 6/10 | 4731 days | 1% |
Diane Moss | 7/10 | 4733 days | 1% |
Kurt & Noemi Buhler | 9/10 | 4743 days | 2% |
Frank & Julia | 9/10 | 4747 days | 2% |
budge69 | 10/10 | 4748 days | 2% |
Mike1952 | 9/10 | 4748 days | 2% |
Urban Reifler | 9/10 | 4759 days | 2% |
Kaelin | 10/10 | 4824 days | 2% |
Scott & Madeleine Bancroft | 10/10 | 4830 days | 2% |
Allison Meyoz | 8/10 | 5030 days | 2% |
Fontvieille | 5/10 | 5037 days | 1% |
Marc Edwards | 9/10 | 5043 days | 2% |
Ken Talan | 10/10 | 5050 days | 2% |
Laurent P | 10/10 | 5057 days | 2% |
Matthias Joos | 9/10 | 5074 days | 2% |
Ann-Kathrin Auditor | 10/10 | 5079 days | 2% |
Mannebach & Siejert | 8/10 | 5082 days | 2% |
Laurent Michon | 8/10 | 5083 days | 2% |
Brendan Dunn | 9/10 | 5085 days | 2% |
Carmel | 8/10 | 5089 days | 2% |
Sandra | 9/10 | 5090 days | 2% |
Nataly Loewidt | 10/10 | 5105 days | 2% |
Tom Hill | 8/10 | 5108 days | 2% |
Darrell & Michelle Lamb | 9/10 | 5367 days | 2% |
Ann Michle | 10/10 | 5370 days | 2% |
Inbar Yizhar Barnea | 9/10 | 5438 days | 2% |
David Morton | 9/10 | 5452 days | 2% |
Paula Martinez | 10/10 | 5453 days | 2% |
Chris el capitan | 10/10 | 5455 days | 2% |
Huber | 10/10 | 5472 days | 2% |
Dick Rosman | 9/10 | 5474 days | 2% |
Rob | 9/10 | 5476 days | 2% |
Jeremy & Sarah Rind | 6/10 | 5477 days | 1% |
S Luis Van Oler | 8/10 | 5483 days | 2% |
mariekef | 9/10 | 5524 days | 2% |
simonbo | 10/10 | 5524 days | 2% |
alasiac | 10/10 | 5540 days | 2% |
Katrin Wennin | 10/10 | 5551 days | 2% |
johanw | 9/10 | 5656 days | 2% |
linus | 9/10 | 5666 days | 2% |
AndreaT | 10/10 | 5780 days | 2% |
JasminA | 7/10 | 5784 days | 1% |
Philipp | 9/10 | 5784 days | 2% |
Enno Brehm | 9/10 | 5796 days | 2% |
HovingL | 10/10 | 5796 days | 2% |
Gillian | 8/10 | 5804 days | 2% |
kempt | 10/10 | 6149 days | 2% |
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.