Ranking Score Explained

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 Mount / Mt Iron 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.

Cymen Crick's avatar

Cymen Crick

Rankers Owner

Mount / Mt Iron Track

Valid Reviews

33 Valid Reviews

The Mount / Mt Iron Track experience has a total of 33 valid reviews. There are no invalid reviews 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 33 valid reviews:

Rating Count Percentage
10/10 6
18%
9/10 9
27%
8/10 10
30%
7/10 7
21%
6/10 1
3%
5/10 0
0%
4/10 0
0%
3/10 0
0%
2/10 0
0%
1/10 0
0%

83.64% Average

The raw data average (mean) for all the Mount / Mt Iron Track valid reviews is 83.64% and is based on 33 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.

Face-to-Face Reviews

27 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 33 valid reviews, the experience has 27 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 27 face-to-face reviews:

Rating Count Percentage
10/10 4
15%
9/10 6
22%
8/10 9
33%
7/10 7
26%
6/10 1
4%
5/10 0
0%
4/10 0
0%
3/10 0
0%
2/10 0
0%
1/10 0
0%

81.85% Average

The raw data average (mean) for all the Mount / Mt Iron Track face-to-face reviews is 81.85% and is based on 27 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.

Weighted Average

82.62%

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
Fabian Probst 7/10 2867 days 93%
Myriam Ackermann 8/10 2867 days 100%
Sarah Horley 8/10 2879 days 99%
Emma Millett 8/10 2884 days 98%
Ane Pujol 9/10 2914 days 97%
Anthony Terry 7/10 2931 days 87%
Susanne 7/10 2931 days 87%
Maura O'Connell 10/10 2969 days 93%
Victoria Wells 9/10 2983 days 90%
Michelle O'Regen 10/10 3167 days 73%
Florence 6/10 3197 days 54%
Riviere 7/10 3210 days 61%
Geoffrey Coulon 7/10 3274 days 55%
Ahmed Mohsen Aly 8/10 3319 days 56%
Mak Walther 9/10 3554 days 34%
Oliver Pester 10/10 3564 days 34%
Craig Jones 9/10 4385 days 3%
Dio 8/10 4387 days 3%
Tinne Cis 8/10 4657 days 3%
Sarah Graham 8/10 4767 days 3%
Marilyn Buboltz 9/10 5018 days 3%
Eva Soerensen 8/10 5027 days 3%
John Hensman 8/10 5030 days 3%
Mary Van 9/10 5207 days 3%
katrina Marshall 10/10 5377 days 4%
Bowness 9/10 5378 days 3%
Ashley Arnold 9/10 5395 days 3%
Hannah Clark 10/10 5412 days 4%
Bouwma 7/10 5412 days 0%
KimC 8/10 5723 days 3%
Lisa Duin 7/10 5723 days 0%
ginekek 9/10 5725 days 3%
JohannaB 10/10 5744 days 4%

Adjustments

No Adjustment

Several adjustments to the weighted average may be added to improve relevancy and credibility. Mount / Mt Iron Track does not meet the criteria for any of these adjustments to apply.

Balancing Adjustment

2.33% 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.

Final Ranking Score

85%

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.