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.
94.36%
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 | 873 days | 100% |
Sally Caboche | 10/10 | 2912 days | 4% |
Wolf | 10/10 | 2963 days | 4% |
Sylvie Meganck | 10/10 | 2963 days | 4% |
Ylva Teleman | 10/10 | 2969 days | 4% |
Sylvie Meganck | 10/10 | 2973 days | 4% |
Martin Marek | 10/10 | 2981 days | 4% |
Felicity Hughes | 9/10 | 3014 days | 4% |
Alex Hah | 10/10 | 3015 days | 4% |
James Macguire | 10/10 | 3015 days | 4% |
Nathalie | 10/10 | 3057 days | 4% |
Simon | 10/10 | 3057 days | 4% |
Janina | 9/10 | 3075 days | 4% |
Denis Schall | 10/10 | 3083 days | 4% |
Charlotte Molesworth | 9/10 | 3089 days | 4% |
Marc | 10/10 | 3090 days | 4% |
Kirsty Smith | 10/10 | 3095 days | 4% |
MARK CURPHEY | 10/10 | 3104 days | 4% |
Diego Casanova | 10/10 | 3104 days | 4% |
Cat Johnston | 10/10 | 3104 days | 4% |
James Jackson | 10/10 | 3105 days | 4% |
Maura O'Connell | 10/10 | 3109 days | 4% |
Steve Smith | 8/10 | 3311 days | 3% |
Huon | 8/10 | 3312 days | 3% |
Cecile | 9/10 | 3312 days | 3% |
Daniel Idiart | 10/10 | 3323 days | 3% |
Sarah Dial | 7/10 | 3324 days | 3% |
Milan Maiwald | 9/10 | 3325 days | 3% |
Gessica | 8/10 | 3327 days | 3% |
Szu-Yi Hsu | 7/10 | 3329 days | 3% |
Chao Lai | 9/10 | 3329 days | 3% |
Anika D | 9/10 | 3329 days | 3% |
Dominique | 6/10 | 3330 days | 2% |
Jiri Sojka | 10/10 | 3334 days | 3% |
Jana Formankoua | 9/10 | 3334 days | 3% |
Clotilde Graziani | 10/10 | 3336 days | 3% |
Johannes Eisel | 9/10 | 3336 days | 3% |
Sydney Lupton | 5/10 | 3341 days | 2% |
Joaquin Gruffat | 9/10 | 3345 days | 3% |
Lili Souris | 10/10 | 3348 days | 3% |
Elodie Bardolle | 8/10 | 3348 days | 3% |
Laurent Petit | 10/10 | 3363 days | 3% |
Sara and Antoine | 9/10 | 3393 days | 3% |
Hannah Stiles | 10/10 | 3393 days | 3% |
Monika Dippel | 10/10 | 3413 days | 3% |
Nicole and Elliott | 10/10 | 3429 days | 2% |
Elisabet Millet | 10/10 | 3434 days | 2% |
Graham Lighner | 10/10 | 3440 days | 2% |
Danica Vrsaljko | 10/10 | 3691 days | 2% |
Markus Johannes | 9/10 | 3691 days | 2% |
Kristina Farkas | 10/10 | 3720 days | 1% |
Finn and Melanie Lorbeer | 10/10 | 3726 days | 1% |
Barbara | 9/10 | 3778 days | 1% |
Samuel Tohko | 10/10 | 3778 days | 1% |
Shelly Weissbrem | 10/10 | 3795 days | 1% |
Julie | 9/10 | 3824 days | 1% |
Marilyn Nadeau | 9/10 | 4008 days | 0% |
Helen Olsson | 10/10 | 4046 days | 0% |
Max Backelandt | 9/10 | 4049 days | 0% |
Marie Toulemonde | 10/10 | 4049 days | 0% |
Chris Handley | 9/10 | 4066 days | 0% |
Charlotte Casey | 8/10 | 4066 days | 0% |
Igor | 9/10 | 4070 days | 0% |
Olivier Carval | 9/10 | 4072 days | 0% |
Francisco Pablo Miguel | 8/10 | 4095 days | 0% |
Gal Bero | 10/10 | 4132 days | 0% |
Daniel McAlpine | 10/10 | 4134 days | 0% |
Kellie | 10/10 | 4134 days | 0% |
Jitka Krejcova | 10/10 | 4421 days | 1% |
Michal Sturma | 10/10 | 4421 days | 1% |
Raelene Vine | 9/10 | 4435 days | 1% |
Petra Blumberg | 9/10 | 4441 days | 1% |
Guillot | 9/10 | 4442 days | 1% |
Fraser Goldsmith | 10/10 | 4459 days | 1% |
Jacquemard | 8/10 | 4530 days | 1% |
Karsten Meyer | 9/10 | 4540 days | 1% |
Loesje | 9/10 | 4555 days | 1% |
Rien | 8/10 | 4792 days | 1% |
Carole Carter | 10/10 | 4792 days | 1% |
Daniel Patricia | 8/10 | 4803 days | 1% |
Sam | 10/10 | 4804 days | 1% |
Les Barnes | 9/10 | 4809 days | 1% |
Karin Laurev | 10/10 | 4809 days | 1% |
Mike & Jennie | 9/10 | 4811 days | 1% |
Lyn Deavin | 6/10 | 4812 days | 1% |
Diane Moss | 7/10 | 4814 days | 1% |
Kurt & Noemi Buhler | 9/10 | 4824 days | 1% |
Frank & Julia | 9/10 | 4828 days | 1% |
budge69 | 10/10 | 4829 days | 1% |
Mike1952 | 9/10 | 4829 days | 1% |
Urban Reifler | 9/10 | 4840 days | 1% |
Kaelin | 10/10 | 4905 days | 1% |
Scott & Madeleine Bancroft | 10/10 | 4911 days | 1% |
Allison Meyoz | 8/10 | 5110 days | 1% |
Fontvieille | 5/10 | 5117 days | 1% |
Marc Edwards | 9/10 | 5123 days | 1% |
Ken Talan | 10/10 | 5130 days | 1% |
Laurent P | 10/10 | 5138 days | 1% |
Matthias Joos | 9/10 | 5155 days | 1% |
Ann-Kathrin Auditor | 10/10 | 5160 days | 1% |
Mannebach & Siejert | 8/10 | 5163 days | 1% |
Laurent Michon | 8/10 | 5164 days | 1% |
Brendan Dunn | 9/10 | 5166 days | 1% |
Carmel | 8/10 | 5170 days | 1% |
Sandra | 9/10 | 5171 days | 1% |
Nataly Loewidt | 10/10 | 5186 days | 1% |
Tom Hill | 8/10 | 5189 days | 1% |
Darrell & Michelle Lamb | 9/10 | 5447 days | 1% |
Ann Michle | 10/10 | 5450 days | 1% |
Inbar Yizhar Barnea | 9/10 | 5519 days | 1% |
David Morton | 9/10 | 5533 days | 1% |
Paula Martinez | 10/10 | 5534 days | 1% |
Chris el capitan | 10/10 | 5536 days | 1% |
Huber | 10/10 | 5553 days | 1% |
Dick Rosman | 9/10 | 5555 days | 1% |
Rob | 9/10 | 5557 days | 1% |
Jeremy & Sarah Rind | 6/10 | 5558 days | 1% |
S Luis Van Oler | 8/10 | 5564 days | 1% |
mariekef | 9/10 | 5605 days | 1% |
simonbo | 10/10 | 5605 days | 1% |
alasiac | 10/10 | 5621 days | 1% |
Katrin Wennin | 10/10 | 5632 days | 1% |
johanw | 9/10 | 5736 days | 1% |
linus | 9/10 | 5746 days | 1% |
AndreaT | 10/10 | 5861 days | 1% |
JasminA | 7/10 | 5865 days | 1% |
Philipp | 9/10 | 5865 days | 1% |
Enno Brehm | 9/10 | 5877 days | 1% |
HovingL | 10/10 | 5877 days | 1% |
Gillian | 8/10 | 5885 days | 1% |
kempt | 10/10 | 6230 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.
0.50% 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.