Hi there, 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 White Island Tours.
If you have any questions or comments about our ranking score calculation please get in touch at email@example.com. We don't believe this is perfect or complete so we're always interested in ways we might make improvements.
129 Valid Reviews
The White Island Tours experience has a total of 129 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 129 valid reviews:
The raw data average (mean) for all the White Island Tours valid reviews is 88.29% and is based on 129 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
105 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.
Within the 129 valid reviews, the experience has 105 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 105 face-to-face reviews:
The raw data average (mean) for all the White Island Tours face-to-face reviews is 87.24% and is based on 105 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.
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.
|Matthew Mutimer||10/10||131 days||97.28||100%|
|Amanda Walden||10/10||1014 days||6.04||6%|
|Monique Pos||9/10||1104 days||4.98||5%|
|Alison Egan-Jones||9/10||1134 days||4.92||5%|
|Sylvain Schiber||9/10||1135 days||4.92||5%|
|Sylvain Chanton||10/10||1140 days||4.91||5%|
|Julian Gury||8/10||1148 days||4.65||5%|
|R. Damen||9/10||1165 days||4.86||5%|
|Michelle Smit||10/10||1226 days||4.74||5%|
|Gesa Roemer||8/10||1356 days||4.26||4%|
|Anais Roux||10/10||1361 days||4.48||5%|
|Luca Staudt||8/10||1380 days||4.22||4%|
|Florian Bisault||7/10||1381 days||4.04||4%|
|Anna Jungclaus||9/10||1388 days||4.43||5%|
|Signe Broedbaek||7/10||1390 days||4.02||4%|
|Petra Fragner||10/10||1396 days||4.41||5%|
|Koehler Ute||10/10||1408 days||4.39||5%|
|Niclas Ullno||8/10||1411 days||4.16||4%|
|Chloe Guerillot||9/10||1422 days||4.36||4%|
|Luisa and Hannes||9/10||1435 days||4.33||4%|
|elena salimzhanova||10/10||1439 days||4.33||4%|
|Jakub Trojanek||8/10||1450 days||4.09||4%|
|Emma Keegan||7/10||1714 days||3.45||4%|
|Emilie Normand||7/10||1785 days||3.32||3%|
|Christopher Buch Madsen||8/10||2106 days||2.87||3%|
|Phil Bromby||9/10||2108 days||3.02||3%|
|Tobias Thull||7/10||2114 days||2.74||3%|
|Rita Hochstiasser||8/10||2136 days||2.81||3%|
|Nelle Dutilleur||10/10||2157 days||2.92||3%|
|Mathias Butterlin||8/10||2157 days||2.78||3%|
|Bert Pubeg||9/10||2231 days||2.78||3%|
|Roy Barton||9/10||2838 days||1.59||2%|
|Brian Livesey||9/10||2846 days||1.57||2%|
|Ralf Glaser||7/10||2858 days||1.41||1%|
|Suzanne van Kol||8/10||2863 days||1.46||2%|
|Sarah and Soren||10/10||2938 days||1.39||1%|
|Erik Folkersen||10/10||2946 days||1.38||1%|
|R Tearle||10/10||3185 days||0.91||1%|
|Franzi & Tobi||10/10||3187 days||0.91||1%|
|Jerven and Kim||10/10||3200 days||0.88||1%|
|Sarah Luijckx||1/10||3202 days||0.64||1%|
|Alan Jeffery||7/10||3203 days||0.8||1%|
|Birgette Weiner||9/10||3221 days||0.84||1%|
|Tim Van Nispen||9/10||3223 days||0.84||1%|
|Sue & Graham Mullin||10/10||3230 days||0.82||1%|
|John Simpson||9/10||3232 days||0.82||1%|
|Karen Phillips||9/10||3232 days||0.82||1%|
|Michelle Booty||8/10||3234 days||0.77||1%|
|Nadia Husain||7/10||3235 days||0.74||1%|
|Dietmar Gans||10/10||3541 days||0.21||0%|
|Matt Roper||10/10||3563 days||0.17||0%|
|Chris Glasg||10/10||3580 days||0.14||0%|
|Jamie Hallifax||9/10||3591 days||0.12||0%|
|Paul Ritchie||10/10||3595 days||0.11||0%|
|Gerry Donoghue||10/10||3614 days||0.07||0%|
|Yvonne German||9/10||3617 days||0.06||0%|
|Susann Koschmeider||10/10||3666 days||0.0||0%|
|X Otte||10/10||3670 days||0.0||0%|
|Hans Hoff||10/10||3670 days||0.0||0%|
|Solveig Mosinski||10/10||3674 days||0.0||0%|
|Val and Barnie Weir||10/10||3685 days||0.0||0%|
|Wim Put||9/10||3688 days||0.0||0%|
|Phillip Reade||10/10||3692 days||0.0||0%|
|Tim Beuzeval||9/10||3692 days||0.0||0%|
|Becky Fairweather||10/10||3876 days||0.0||0%|
|Ralph Boese||7/10||3926 days||0.0||0%|
|Ann Maree||9/10||4014 days||0.0||0%|
|Carina Korn||10/10||4121 days||0.0||0%|
|Terri Scott||7/10||4141 days||0.0||0%|
|Alan Bellerby||10/10||4292 days||0.0||0%|
|Peter Aston||9/10||4298 days||0.0||0%|
|Tony Wicks||8/10||4303 days||0.0||0%|
|Melissa Steedman||9/10||4345 days||0.0||0%|
|Vanessa Brennan||7/10||4345 days||0.0||0%|
Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.
A reasonable number of reviews are necessary in order for the average to be credible and for an experience to take a prime position within the ranking tables. As such, experiences with only a few reviews have a moderated score. This does not mean that the experience or the reviews can't be trusted. The White Island Tours experience has plenty of reviews and does not meet the criteria for any adjustment.
There may be an adjustment if an experience hasn't received any reviews within the last 60 days. However the White Island Tours experience does not meet the criteria for any adjustment.
In addition, an experience's ranking score may be adjusted for each day there is no new ranking. After 1 day the adjustment comes into effect. The maximum number of days that can be adjusted for is 199 days.
The White Island Tours experience has been adjusted for 121 days. Adjustments are according to the following table.
The final ranking score once adjustments and rounding has been applied. This value is cached and recalculated each day. Therefore it may not be precisely accurate based on the other values presented.
If you have any questions or comments about our ranking score calculation please get in touch at firstname.lastname@example.org.