Hey, 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 Magic Travellers Network.
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.
165 Valid Reviews
The Magic Travellers Network experience has a total of 170 reviews. There are 165 valid reviews that are included when calculating the ranking score and 5 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 165 valid reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 24 |
|
15% |
9/10 | 15 |
|
9% |
8/10 | 66 |
|
40% |
7/10 | 38 |
|
23% |
6/10 | 12 |
|
7% |
5/10 | 3 |
|
2% |
4/10 | 4 |
|
2% |
3/10 | 1 |
|
1% |
2/10 | 2 |
|
1% |
1/10 | 0 |
|
0% |
77.52% Average
The raw data average (mean) for all the Magic Travellers Network valid reviews is 77.52% and is based on 165 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
162 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 165 valid reviews, the experience has 162 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 162 face-to-face reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 23 |
|
14% |
9/10 | 15 |
|
9% |
8/10 | 65 |
|
40% |
7/10 | 38 |
|
23% |
6/10 | 12 |
|
7% |
5/10 | 3 |
|
2% |
4/10 | 4 |
|
2% |
3/10 | 1 |
|
1% |
2/10 | 1 |
|
1% |
1/10 | 0 |
|
0% |
77.72% Average
The raw data average (mean) for all the Magic Travellers Network face-to-face reviews is 77.72% and is based on 162 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.
78.80%
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 |
---|---|---|---|
FlyKiwiFly | 8/10 | 4691 days | 96% |
T J Andrews | 8/10 | 5072 days | 96% |
Sandie Chan | 10/10 | 5467 days | 100% |
Matty Boombatty | 10/10 | 5574 days | 100% |
NicolaW | 10/10 | 5719 days | 100% |
Laura | 7/10 | 5724 days | 87% |
annma | 7/10 | 5728 days | 87% |
CatherineA | 4/10 | 5750 days | 36% |
CarolineZ | 7/10 | 5753 days | 87% |
IngeB1 | 6/10 | 5754 days | 75% |
EstherD | 7/10 | 5754 days | 87% |
FloorN | 6/10 | 5754 days | 75% |
Jows | 7/10 | 5763 days | 87% |
SonnyL | 10/10 | 5768 days | 100% |
LucyS | 10/10 | 5768 days | 100% |
MattF | 7/10 | 5774 days | 87% |
ClaudiaK | 5/10 | 5776 days | 56% |
Jen | 9/10 | 5776 days | 98% |
RachaelO | 10/10 | 5777 days | 100% |
NinaH1 | 7/10 | 5777 days | 87% |
Katy | 8/10 | 5777 days | 96% |
Marianne | 7/10 | 5777 days | 87% |
Debbie | 8/10 | 5777 days | 96% |
Michelle | 9/10 | 5777 days | 98% |
Miguel | 8/10 | 5777 days | 96% |
Rachel | 8/10 | 5799 days | 96% |
Saskia | 7/10 | 5799 days | 87% |
Bernhard | 4/10 | 5799 days | 36% |
Annemyn | 7/10 | 5799 days | 87% |
Chris | 6/10 | 5799 days | 75% |
Dan | 7/10 | 5800 days | 87% |
Sally | 8/10 | 5800 days | 96% |
Rosseel | 10/10 | 5800 days | 100% |
Shona | 8/10 | 5800 days | 96% |
Chooi | 7/10 | 5801 days | 87% |
Soong | 7/10 | 5801 days | 87% |
Lee | 6/10 | 5801 days | 75% |
Hazel | 8/10 | 5801 days | 96% |
Amy | 8/10 | 5801 days | 96% |
louisa | 7/10 | 5802 days | 87% |
Hironori | 7/10 | 5803 days | 87% |
Christian | 7/10 | 5845 days | 87% |
Liekens | 9/10 | 5847 days | 98% |
Paula | 8/10 | 5852 days | 96% |
jfletch | 8/10 | 5857 days | 96% |
Junko | 6/10 | 5858 days | 75% |
Teresa | 10/10 | 5858 days | 100% |
Lisa | 7/10 | 5858 days | 87% |
siobhan | 7/10 | 5860 days | 87% |
Evelyn | 10/10 | 5861 days | 100% |
Ben | 10/10 | 5867 days | 100% |
Andy | 7/10 | 5890 days | 87% |
Kevin Donaldson | 2/10 | 5899 days | 0% |
David | 10/10 | 5901 days | 100% |
Chris | 10/10 | 5902 days | 100% |
Lara | 8/10 | 5904 days | 96% |
Kay | 10/10 | 5906 days | 100% |
Niamh | 7/10 | 5913 days | 87% |
John Paul | 8/10 | 5922 days | 96% |
Jimmy | 7/10 | 5924 days | 87% |
Sarah | 4/10 | 5924 days | 36% |
sabine | 10/10 | 5924 days | 100% |
Laura | 7/10 | 5933 days | 87% |
Elisabeth | 10/10 | 5933 days | 100% |
Jenny | 10/10 | 5937 days | 100% |
Amy Shields | 8/10 | 5937 days | 96% |
Louise | 7/10 | 5946 days | 87% |
Danna | 8/10 | 5966 days | 96% |
Helen | 7/10 | 5975 days | 87% |
Dean Field | 2/10 | 6099 days | 0% |
Joanne M | 8/10 | 6103 days | 96% |
Jeppe Fischer | 8/10 | 6103 days | 96% |
Paul Cotter | 8/10 | 6103 days | 96% |
Camilla | 7/10 | 6103 days | 87% |
John | 8/10 | 6103 days | 96% |
Kristin | 8/10 | 6103 days | 96% |
Anna | 9/10 | 6104 days | 98% |
Thibault | 7/10 | 6106 days | 87% |
Leila | 8/10 | 6107 days | 96% |
Sam | 8/10 | 6113 days | 96% |
Claire | 8/10 | 6113 days | 96% |
Rachael Hawson | 7/10 | 6113 days | 87% |
Sarah Maudsley | 7/10 | 6113 days | 87% |
Terri Williams | 8/10 | 6114 days | 96% |
Kelly Noirin | 8/10 | 6114 days | 96% |
Therese Axelsson | 4/10 | 6117 days | 36% |
Stephen | 5/10 | 6118 days | 56% |
Sabine | 9/10 | 6118 days | 98% |
Hendrik | 8/10 | 6119 days | 96% |
Lizzy | 9/10 | 6119 days | 98% |
Tina Daly | 6/10 | 6119 days | 75% |
Silvia | 8/10 | 6124 days | 96% |
George Clark | 8/10 | 6124 days | 96% |
Stephanie | 10/10 | 6139 days | 100% |
Audrey | 10/10 | 6139 days | 100% |
Hanna | 8/10 | 6140 days | 96% |
Maree | 8/10 | 6140 days | 96% |
Daniel | 8/10 | 6140 days | 96% |
Orlaith | 8/10 | 6140 days | 96% |
Lisa | 9/10 | 6140 days | 98% |
John | 10/10 | 6141 days | 100% |
Minke | 8/10 | 6141 days | 96% |
Marigold | 7/10 | 6155 days | 87% |
Debbie | 8/10 | 6163 days | 96% |
Line Oehlinschloger | 9/10 | 6166 days | 98% |
Andre Obineche | 8/10 | 6167 days | 96% |
Laura Sutton | 7/10 | 6167 days | 87% |
Warren | 8/10 | 6167 days | 96% |
Assaf Kadury | 8/10 | 6167 days | 96% |
Julia | 7/10 | 6167 days | 87% |
Alannah McGurk | 10/10 | 6168 days | 100% |
Alex | 8/10 | 6169 days | 96% |
Jeroen | 8/10 | 6169 days | 96% |
Mette de Graap | 8/10 | 6169 days | 96% |
Paula Smith | 6/10 | 6170 days | 75% |
Nick and Barbara | 10/10 | 6170 days | 100% |
David | 8/10 | 6173 days | 96% |
Daniela | 7/10 | 6173 days | 87% |
Sarah | 8/10 | 6173 days | 96% |
Andrew | 8/10 | 6174 days | 96% |
Aggie Taug | 8/10 | 6175 days | 96% |
Jonathan | 9/10 | 6175 days | 98% |
Kay | 9/10 | 6198 days | 98% |
Gerber Liselotte | 8/10 | 6201 days | 96% |
Daphne | 8/10 | 6203 days | 96% |
marion | 8/10 | 6208 days | 96% |
Linda | 7/10 | 6208 days | 87% |
Fiona | 8/10 | 6208 days | 96% |
Rich | 8/10 | 6208 days | 96% |
Ann | 8/10 | 6209 days | 96% |
Christine | 8/10 | 6212 days | 96% |
Juliana | 9/10 | 6212 days | 98% |
Tom Clements | 7/10 | 6217 days | 87% |
Martina | 8/10 | 6217 days | 96% |
Paulina | 8/10 | 6217 days | 96% |
Willemien | 7/10 | 6219 days | 87% |
Richard Kindgren | 8/10 | 6219 days | 96% |
silja tans | 6/10 | 6219 days | 75% |
Natalia | 9/10 | 6413 days | 98% |
Andy | 8/10 | 6414 days | 96% |
FrankOosterwijk | 8/10 | 6414 days | 96% |
Bridgy | 8/10 | 6417 days | 96% |
Caroline | 7/10 | 6433 days | 87% |
Diane | 8/10 | 6434 days | 96% |
HalRoberts | 7/10 | 6439 days | 87% |
Claire | 9/10 | 6443 days | 98% |
Jennifer | 5/10 | 6443 days | 56% |
Clive | 8/10 | 6443 days | 96% |
Jane | 9/10 | 6443 days | 98% |
Craig | 6/10 | 6443 days | 75% |
Linda | 3/10 | 6443 days | 16% |
Siobhan | 6/10 | 6443 days | 75% |
ShoshanaAbrams | 9/10 | 6448 days | 98% |
Elaine | 8/10 | 6448 days | 96% |
Valerie | 8/10 | 6454 days | 96% |
Martin | 10/10 | 6456 days | 100% |
MichelleLowry | 10/10 | 6457 days | 100% |
Cat | 6/10 | 6457 days | 75% |
Marije | 8/10 | 6463 days | 96% |
Christina | 8/10 | 6463 days | 96% |
Sophie | 8/10 | 6463 days | 96% |
GeorginaNolan | 7/10 | 6464 days | 87% |
Roran | 6/10 | 6474 days | 75% |
PamWalter | 8/10 | 6504 days | 96% |
Leah | 10/10 | 6505 days | 100% |
Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.
No Adjustment
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 Magic Travellers Network experience has plenty of reviews and does not meet the criteria for any adjustment.
-4.07% Adjustment
There may be an adjustment if this experience hasn't received any reviews within the last 42 days. However the Magic Travellers Network 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 200 days. Due to the seasonal nature of many businesses, this adjustment is applied dynamically throughout the year.
The Magic Travellers Network experience has been adjusted for 200 days. Adjustments are according to the following table.
Days | Adjustment |
---|---|
… | … |
197 | -4.01% |
198 | -4.03% |
199 | -4.05% |
200 | -4.07% |
201 | -4.09% |
202 | -4.11% |
203 | -4.13% |
… | … |
4.76% 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 customers 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.
79%
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.