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.
94.35%
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 | 880 days | 100% |
Sally Caboche | 10/10 | 2919 days | 4% |
Wolf | 10/10 | 2970 days | 4% |
Sylvie Meganck | 10/10 | 2970 days | 4% |
Ylva Teleman | 10/10 | 2976 days | 4% |
Sylvie Meganck | 10/10 | 2980 days | 4% |
Martin Marek | 10/10 | 2988 days | 4% |
Felicity Hughes | 9/10 | 3021 days | 4% |
Alex Hah | 10/10 | 3022 days | 4% |
James Macguire | 10/10 | 3022 days | 4% |
Nathalie | 10/10 | 3064 days | 4% |
Simon | 10/10 | 3064 days | 4% |
Janina | 9/10 | 3082 days | 4% |
Denis Schall | 10/10 | 3090 days | 4% |
Charlotte Molesworth | 9/10 | 3096 days | 4% |
Marc | 10/10 | 3097 days | 4% |
Kirsty Smith | 10/10 | 3102 days | 4% |
MARK CURPHEY | 10/10 | 3111 days | 4% |
Diego Casanova | 10/10 | 3111 days | 4% |
Cat Johnston | 10/10 | 3111 days | 4% |
James Jackson | 10/10 | 3112 days | 4% |
Maura O'Connell | 10/10 | 3116 days | 4% |
Steve Smith | 8/10 | 3318 days | 3% |
Huon | 8/10 | 3319 days | 3% |
Cecile | 9/10 | 3319 days | 3% |
Daniel Idiart | 10/10 | 3330 days | 3% |
Sarah Dial | 7/10 | 3331 days | 3% |
Milan Maiwald | 9/10 | 3332 days | 3% |
Gessica | 8/10 | 3334 days | 3% |
Szu-Yi Hsu | 7/10 | 3336 days | 3% |
Chao Lai | 9/10 | 3336 days | 3% |
Anika D | 9/10 | 3336 days | 3% |
Dominique | 6/10 | 3337 days | 2% |
Jiri Sojka | 10/10 | 3341 days | 3% |
Jana Formankoua | 9/10 | 3341 days | 3% |
Clotilde Graziani | 10/10 | 3343 days | 3% |
Johannes Eisel | 9/10 | 3343 days | 3% |
Sydney Lupton | 5/10 | 3348 days | 2% |
Joaquin Gruffat | 9/10 | 3352 days | 3% |
Lili Souris | 10/10 | 3355 days | 3% |
Elodie Bardolle | 8/10 | 3355 days | 3% |
Laurent Petit | 10/10 | 3370 days | 3% |
Sara and Antoine | 9/10 | 3400 days | 3% |
Hannah Stiles | 10/10 | 3400 days | 3% |
Monika Dippel | 10/10 | 3420 days | 3% |
Nicole and Elliott | 10/10 | 3436 days | 2% |
Elisabet Millet | 10/10 | 3441 days | 2% |
Graham Lighner | 10/10 | 3447 days | 2% |
Danica Vrsaljko | 10/10 | 3698 days | 2% |
Markus Johannes | 9/10 | 3698 days | 2% |
Kristina Farkas | 10/10 | 3727 days | 1% |
Finn and Melanie Lorbeer | 10/10 | 3733 days | 1% |
Barbara | 9/10 | 3785 days | 1% |
Samuel Tohko | 10/10 | 3785 days | 1% |
Shelly Weissbrem | 10/10 | 3802 days | 1% |
Julie | 9/10 | 3831 days | 1% |
Marilyn Nadeau | 9/10 | 4016 days | 0% |
Helen Olsson | 10/10 | 4053 days | 0% |
Max Backelandt | 9/10 | 4056 days | 0% |
Marie Toulemonde | 10/10 | 4056 days | 0% |
Chris Handley | 9/10 | 4073 days | 0% |
Charlotte Casey | 8/10 | 4073 days | 0% |
Igor | 9/10 | 4077 days | 0% |
Olivier Carval | 9/10 | 4079 days | 0% |
Francisco Pablo Miguel | 8/10 | 4102 days | 0% |
Gal Bero | 10/10 | 4139 days | 0% |
Daniel McAlpine | 10/10 | 4141 days | 0% |
Kellie | 10/10 | 4141 days | 0% |
Jitka Krejcova | 10/10 | 4428 days | 1% |
Michal Sturma | 10/10 | 4428 days | 1% |
Raelene Vine | 9/10 | 4442 days | 1% |
Petra Blumberg | 9/10 | 4448 days | 1% |
Guillot | 9/10 | 4449 days | 1% |
Fraser Goldsmith | 10/10 | 4466 days | 1% |
Jacquemard | 8/10 | 4537 days | 1% |
Karsten Meyer | 9/10 | 4547 days | 1% |
Loesje | 9/10 | 4562 days | 1% |
Rien | 8/10 | 4799 days | 1% |
Carole Carter | 10/10 | 4799 days | 1% |
Daniel Patricia | 8/10 | 4810 days | 1% |
Sam | 10/10 | 4811 days | 1% |
Les Barnes | 9/10 | 4816 days | 1% |
Karin Laurev | 10/10 | 4816 days | 1% |
Mike & Jennie | 9/10 | 4818 days | 1% |
Lyn Deavin | 6/10 | 4819 days | 1% |
Diane Moss | 7/10 | 4821 days | 1% |
Kurt & Noemi Buhler | 9/10 | 4831 days | 1% |
Frank & Julia | 9/10 | 4835 days | 1% |
budge69 | 10/10 | 4836 days | 1% |
Mike1952 | 9/10 | 4836 days | 1% |
Urban Reifler | 9/10 | 4847 days | 1% |
Kaelin | 10/10 | 4912 days | 1% |
Scott & Madeleine Bancroft | 10/10 | 4918 days | 1% |
Allison Meyoz | 8/10 | 5118 days | 1% |
Fontvieille | 5/10 | 5125 days | 1% |
Marc Edwards | 9/10 | 5131 days | 1% |
Ken Talan | 10/10 | 5138 days | 1% |
Laurent P | 10/10 | 5145 days | 1% |
Matthias Joos | 9/10 | 5162 days | 1% |
Ann-Kathrin Auditor | 10/10 | 5167 days | 1% |
Mannebach & Siejert | 8/10 | 5170 days | 1% |
Laurent Michon | 8/10 | 5171 days | 1% |
Brendan Dunn | 9/10 | 5173 days | 1% |
Carmel | 8/10 | 5177 days | 1% |
Sandra | 9/10 | 5178 days | 1% |
Nataly Loewidt | 10/10 | 5193 days | 1% |
Tom Hill | 8/10 | 5196 days | 1% |
Darrell & Michelle Lamb | 9/10 | 5455 days | 1% |
Ann Michle | 10/10 | 5458 days | 1% |
Inbar Yizhar Barnea | 9/10 | 5526 days | 1% |
David Morton | 9/10 | 5540 days | 1% |
Paula Martinez | 10/10 | 5541 days | 1% |
Chris el capitan | 10/10 | 5543 days | 1% |
Huber | 10/10 | 5560 days | 1% |
Dick Rosman | 9/10 | 5562 days | 1% |
Rob | 9/10 | 5564 days | 1% |
Jeremy & Sarah Rind | 6/10 | 5565 days | 1% |
S Luis Van Oler | 8/10 | 5571 days | 1% |
mariekef | 9/10 | 5612 days | 1% |
simonbo | 10/10 | 5612 days | 1% |
alasiac | 10/10 | 5628 days | 1% |
Katrin Wennin | 10/10 | 5639 days | 1% |
johanw | 9/10 | 5744 days | 1% |
linus | 9/10 | 5754 days | 1% |
AndreaT | 10/10 | 5868 days | 1% |
JasminA | 7/10 | 5872 days | 1% |
Philipp | 9/10 | 5872 days | 1% |
Enno Brehm | 9/10 | 5884 days | 1% |
HovingL | 10/10 | 5884 days | 1% |
Gillian | 8/10 | 5892 days | 1% |
kempt | 10/10 | 6237 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.