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.
94.63%
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 | 718 days | 100% |
Sally Caboche | 10/10 | 2758 days | 4% |
Wolf | 10/10 | 2808 days | 4% |
Sylvie Meganck | 10/10 | 2808 days | 4% |
Ylva Teleman | 10/10 | 2814 days | 4% |
Sylvie Meganck | 10/10 | 2818 days | 4% |
Martin Marek | 10/10 | 2826 days | 4% |
Felicity Hughes | 9/10 | 2859 days | 4% |
Alex Hah | 10/10 | 2860 days | 4% |
James Macguire | 10/10 | 2860 days | 4% |
Nathalie | 10/10 | 2902 days | 4% |
Simon | 10/10 | 2902 days | 4% |
Janina | 9/10 | 2920 days | 4% |
Denis Schall | 10/10 | 2928 days | 4% |
Charlotte Molesworth | 9/10 | 2934 days | 4% |
Marc | 10/10 | 2935 days | 4% |
Kirsty Smith | 10/10 | 2940 days | 4% |
MARK CURPHEY | 10/10 | 2949 days | 4% |
Diego Casanova | 10/10 | 2949 days | 4% |
Cat Johnston | 10/10 | 2949 days | 4% |
James Jackson | 10/10 | 2950 days | 4% |
Maura O'Connell | 10/10 | 2954 days | 4% |
Steve Smith | 8/10 | 3156 days | 3% |
Huon | 8/10 | 3157 days | 3% |
Cecile | 9/10 | 3157 days | 3% |
Daniel Idiart | 10/10 | 3168 days | 3% |
Sarah Dial | 7/10 | 3169 days | 3% |
Milan Maiwald | 9/10 | 3170 days | 3% |
Gessica | 8/10 | 3172 days | 3% |
Szu-Yi Hsu | 7/10 | 3174 days | 3% |
Chao Lai | 9/10 | 3174 days | 3% |
Anika D | 9/10 | 3174 days | 3% |
Dominique | 6/10 | 3175 days | 3% |
Jiri Sojka | 10/10 | 3179 days | 3% |
Jana Formankoua | 9/10 | 3179 days | 3% |
Clotilde Graziani | 10/10 | 3181 days | 3% |
Johannes Eisel | 9/10 | 3181 days | 3% |
Sydney Lupton | 5/10 | 3186 days | 3% |
Joaquin Gruffat | 9/10 | 3190 days | 3% |
Lili Souris | 10/10 | 3193 days | 3% |
Elodie Bardolle | 8/10 | 3193 days | 3% |
Laurent Petit | 10/10 | 3208 days | 3% |
Sara and Antoine | 9/10 | 3238 days | 3% |
Hannah Stiles | 10/10 | 3238 days | 3% |
Monika Dippel | 10/10 | 3258 days | 3% |
Nicole and Elliott | 10/10 | 3274 days | 3% |
Elisabet Millet | 10/10 | 3279 days | 3% |
Graham Lighner | 10/10 | 3285 days | 3% |
Danica Vrsaljko | 10/10 | 3536 days | 2% |
Markus Johannes | 9/10 | 3536 days | 2% |
Kristina Farkas | 10/10 | 3565 days | 2% |
Finn and Melanie Lorbeer | 10/10 | 3571 days | 2% |
Barbara | 9/10 | 3623 days | 2% |
Samuel Tohko | 10/10 | 3623 days | 2% |
Shelly Weissbrem | 10/10 | 3640 days | 2% |
Julie | 9/10 | 3670 days | 2% |
Marilyn Nadeau | 9/10 | 3854 days | 1% |
Helen Olsson | 10/10 | 3891 days | 1% |
Max Backelandt | 9/10 | 3894 days | 1% |
Marie Toulemonde | 10/10 | 3894 days | 1% |
Chris Handley | 9/10 | 3911 days | 1% |
Charlotte Casey | 8/10 | 3911 days | 1% |
Igor | 9/10 | 3915 days | 1% |
Olivier Carval | 9/10 | 3917 days | 1% |
Francisco Pablo Miguel | 8/10 | 3940 days | 1% |
Gal Bero | 10/10 | 3977 days | 1% |
Daniel McAlpine | 10/10 | 3979 days | 1% |
Kellie | 10/10 | 3979 days | 1% |
Jitka Krejcova | 10/10 | 4266 days | 0% |
Michal Sturma | 10/10 | 4266 days | 0% |
Raelene Vine | 9/10 | 4280 days | 0% |
Petra Blumberg | 9/10 | 4286 days | 0% |
Guillot | 9/10 | 4287 days | 0% |
Fraser Goldsmith | 10/10 | 4304 days | 0% |
Jacquemard | 8/10 | 4375 days | 0% |
Karsten Meyer | 9/10 | 4385 days | 1% |
Loesje | 9/10 | 4400 days | 1% |
Rien | 8/10 | 4637 days | 1% |
Carole Carter | 10/10 | 4637 days | 1% |
Daniel Patricia | 8/10 | 4648 days | 1% |
Sam | 10/10 | 4649 days | 1% |
Les Barnes | 9/10 | 4654 days | 1% |
Karin Laurev | 10/10 | 4654 days | 1% |
Mike & Jennie | 9/10 | 4656 days | 1% |
Lyn Deavin | 6/10 | 4657 days | 1% |
Diane Moss | 7/10 | 4659 days | 1% |
Kurt & Noemi Buhler | 9/10 | 4669 days | 1% |
Frank & Julia | 9/10 | 4673 days | 1% |
budge69 | 10/10 | 4674 days | 1% |
Mike1952 | 9/10 | 4674 days | 1% |
Urban Reifler | 9/10 | 4685 days | 1% |
Kaelin | 10/10 | 4750 days | 1% |
Scott & Madeleine Bancroft | 10/10 | 4756 days | 1% |
Allison Meyoz | 8/10 | 4956 days | 1% |
Fontvieille | 5/10 | 4963 days | 1% |
Marc Edwards | 9/10 | 4969 days | 1% |
Ken Talan | 10/10 | 4976 days | 1% |
Laurent P | 10/10 | 4983 days | 1% |
Matthias Joos | 9/10 | 5000 days | 1% |
Ann-Kathrin Auditor | 10/10 | 5005 days | 1% |
Mannebach & Siejert | 8/10 | 5008 days | 1% |
Laurent Michon | 8/10 | 5009 days | 1% |
Brendan Dunn | 9/10 | 5011 days | 1% |
Carmel | 8/10 | 5015 days | 1% |
Sandra | 9/10 | 5016 days | 1% |
Nataly Loewidt | 10/10 | 5031 days | 1% |
Tom Hill | 8/10 | 5034 days | 1% |
Darrell & Michelle Lamb | 9/10 | 5293 days | 1% |
Ann Michle | 10/10 | 5296 days | 1% |
Inbar Yizhar Barnea | 9/10 | 5364 days | 1% |
David Morton | 9/10 | 5378 days | 1% |
Paula Martinez | 10/10 | 5379 days | 1% |
Chris el capitan | 10/10 | 5381 days | 1% |
Huber | 10/10 | 5398 days | 1% |
Dick Rosman | 9/10 | 5400 days | 1% |
Rob | 9/10 | 5402 days | 1% |
Jeremy & Sarah Rind | 6/10 | 5403 days | 1% |
S Luis Van Oler | 8/10 | 5409 days | 1% |
mariekef | 9/10 | 5450 days | 1% |
simonbo | 10/10 | 5450 days | 1% |
alasiac | 10/10 | 5466 days | 1% |
Katrin Wennin | 10/10 | 5477 days | 1% |
johanw | 9/10 | 5582 days | 1% |
linus | 9/10 | 5592 days | 1% |
AndreaT | 10/10 | 5706 days | 1% |
JasminA | 7/10 | 5710 days | 1% |
Philipp | 9/10 | 5710 days | 1% |
Enno Brehm | 9/10 | 5722 days | 1% |
HovingL | 10/10 | 5722 days | 1% |
Gillian | 8/10 | 5730 days | 1% |
kempt | 10/10 | 6075 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.
0.47% 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.