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.
94.55%
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 | 738 days | 100% |
Sally Caboche | 10/10 | 2777 days | 4% |
Wolf | 10/10 | 2828 days | 4% |
Sylvie Meganck | 10/10 | 2828 days | 4% |
Ylva Teleman | 10/10 | 2834 days | 4% |
Sylvie Meganck | 10/10 | 2838 days | 4% |
Martin Marek | 10/10 | 2846 days | 4% |
Felicity Hughes | 9/10 | 2879 days | 4% |
Alex Hah | 10/10 | 2880 days | 4% |
James Macguire | 10/10 | 2880 days | 4% |
Nathalie | 10/10 | 2922 days | 4% |
Simon | 10/10 | 2922 days | 4% |
Janina | 9/10 | 2940 days | 4% |
Denis Schall | 10/10 | 2948 days | 4% |
Charlotte Molesworth | 9/10 | 2954 days | 4% |
Marc | 10/10 | 2955 days | 4% |
Kirsty Smith | 10/10 | 2960 days | 4% |
MARK CURPHEY | 10/10 | 2969 days | 4% |
Diego Casanova | 10/10 | 2969 days | 4% |
Cat Johnston | 10/10 | 2969 days | 4% |
James Jackson | 10/10 | 2970 days | 4% |
Maura O'Connell | 10/10 | 2974 days | 4% |
Steve Smith | 8/10 | 3176 days | 3% |
Huon | 8/10 | 3177 days | 3% |
Cecile | 9/10 | 3177 days | 3% |
Daniel Idiart | 10/10 | 3188 days | 3% |
Sarah Dial | 7/10 | 3189 days | 3% |
Milan Maiwald | 9/10 | 3190 days | 3% |
Gessica | 8/10 | 3192 days | 3% |
Szu-Yi Hsu | 7/10 | 3194 days | 3% |
Chao Lai | 9/10 | 3194 days | 3% |
Anika D | 9/10 | 3194 days | 3% |
Dominique | 6/10 | 3195 days | 3% |
Jiri Sojka | 10/10 | 3199 days | 3% |
Jana Formankoua | 9/10 | 3199 days | 3% |
Clotilde Graziani | 10/10 | 3201 days | 3% |
Johannes Eisel | 9/10 | 3201 days | 3% |
Sydney Lupton | 5/10 | 3206 days | 2% |
Joaquin Gruffat | 9/10 | 3210 days | 3% |
Lili Souris | 10/10 | 3213 days | 3% |
Elodie Bardolle | 8/10 | 3213 days | 3% |
Laurent Petit | 10/10 | 3228 days | 3% |
Sara and Antoine | 9/10 | 3258 days | 3% |
Hannah Stiles | 10/10 | 3258 days | 3% |
Monika Dippel | 10/10 | 3278 days | 3% |
Nicole and Elliott | 10/10 | 3294 days | 3% |
Elisabet Millet | 10/10 | 3299 days | 3% |
Graham Lighner | 10/10 | 3305 days | 3% |
Danica Vrsaljko | 10/10 | 3556 days | 2% |
Markus Johannes | 9/10 | 3556 days | 2% |
Kristina Farkas | 10/10 | 3585 days | 2% |
Finn and Melanie Lorbeer | 10/10 | 3591 days | 2% |
Barbara | 9/10 | 3643 days | 2% |
Samuel Tohko | 10/10 | 3643 days | 2% |
Shelly Weissbrem | 10/10 | 3660 days | 2% |
Julie | 9/10 | 3689 days | 2% |
Marilyn Nadeau | 9/10 | 3874 days | 1% |
Helen Olsson | 10/10 | 3911 days | 1% |
Max Backelandt | 9/10 | 3914 days | 1% |
Marie Toulemonde | 10/10 | 3914 days | 1% |
Chris Handley | 9/10 | 3931 days | 1% |
Charlotte Casey | 8/10 | 3931 days | 1% |
Igor | 9/10 | 3935 days | 1% |
Olivier Carval | 9/10 | 3937 days | 1% |
Francisco Pablo Miguel | 8/10 | 3960 days | 1% |
Gal Bero | 10/10 | 3997 days | 1% |
Daniel McAlpine | 10/10 | 3999 days | 1% |
Kellie | 10/10 | 3999 days | 1% |
Jitka Krejcova | 10/10 | 4286 days | 0% |
Michal Sturma | 10/10 | 4286 days | 0% |
Raelene Vine | 9/10 | 4300 days | 0% |
Petra Blumberg | 9/10 | 4306 days | 0% |
Guillot | 9/10 | 4307 days | 0% |
Fraser Goldsmith | 10/10 | 4324 days | 0% |
Jacquemard | 8/10 | 4395 days | 1% |
Karsten Meyer | 9/10 | 4405 days | 1% |
Loesje | 9/10 | 4420 days | 1% |
Rien | 8/10 | 4657 days | 1% |
Carole Carter | 10/10 | 4657 days | 1% |
Daniel Patricia | 8/10 | 4668 days | 1% |
Sam | 10/10 | 4669 days | 1% |
Les Barnes | 9/10 | 4674 days | 1% |
Karin Laurev | 10/10 | 4674 days | 1% |
Mike & Jennie | 9/10 | 4676 days | 1% |
Lyn Deavin | 6/10 | 4677 days | 1% |
Diane Moss | 7/10 | 4679 days | 1% |
Kurt & Noemi Buhler | 9/10 | 4689 days | 1% |
Frank & Julia | 9/10 | 4693 days | 1% |
budge69 | 10/10 | 4694 days | 1% |
Mike1952 | 9/10 | 4694 days | 1% |
Urban Reifler | 9/10 | 4705 days | 1% |
Kaelin | 10/10 | 4770 days | 1% |
Scott & Madeleine Bancroft | 10/10 | 4776 days | 1% |
Allison Meyoz | 8/10 | 4976 days | 1% |
Fontvieille | 5/10 | 4983 days | 1% |
Marc Edwards | 9/10 | 4989 days | 1% |
Ken Talan | 10/10 | 4996 days | 1% |
Laurent P | 10/10 | 5003 days | 1% |
Matthias Joos | 9/10 | 5020 days | 1% |
Ann-Kathrin Auditor | 10/10 | 5025 days | 1% |
Mannebach & Siejert | 8/10 | 5028 days | 1% |
Laurent Michon | 8/10 | 5029 days | 1% |
Brendan Dunn | 9/10 | 5031 days | 1% |
Carmel | 8/10 | 5035 days | 1% |
Sandra | 9/10 | 5036 days | 1% |
Nataly Loewidt | 10/10 | 5051 days | 1% |
Tom Hill | 8/10 | 5054 days | 1% |
Darrell & Michelle Lamb | 9/10 | 5313 days | 1% |
Ann Michle | 10/10 | 5316 days | 1% |
Inbar Yizhar Barnea | 9/10 | 5384 days | 1% |
David Morton | 9/10 | 5398 days | 1% |
Paula Martinez | 10/10 | 5399 days | 1% |
Chris el capitan | 10/10 | 5401 days | 1% |
Huber | 10/10 | 5418 days | 1% |
Dick Rosman | 9/10 | 5420 days | 1% |
Rob | 9/10 | 5422 days | 1% |
Jeremy & Sarah Rind | 6/10 | 5423 days | 1% |
S Luis Van Oler | 8/10 | 5429 days | 1% |
mariekef | 9/10 | 5470 days | 1% |
simonbo | 10/10 | 5470 days | 1% |
alasiac | 10/10 | 5486 days | 1% |
Katrin Wennin | 10/10 | 5497 days | 1% |
johanw | 9/10 | 5602 days | 1% |
linus | 9/10 | 5612 days | 1% |
AndreaT | 10/10 | 5726 days | 1% |
JasminA | 7/10 | 5730 days | 1% |
Philipp | 9/10 | 5730 days | 1% |
Enno Brehm | 9/10 | 5742 days | 1% |
HovingL | 10/10 | 5742 days | 1% |
Gillian | 8/10 | 5750 days | 1% |
kempt | 10/10 | 6095 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.