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 Glentanner Park.

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

Glentanner Park

Valid Reviews

132 Valid Reviews

The Glentanner Park experience has a total of 134 reviews. There are 132 valid reviews that are included when calculating the ranking score and 2 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 132 valid reviews:

Rating Count Percentage
10/10 29
22%
9/10 22
17%
8/10 41
31%
7/10 15
11%
6/10 4
3%
5/10 7
5%
4/10 4
3%
3/10 2
2%
2/10 7
5%
1/10 1
1%

77.05% Average

The raw data average (mean) for all the Glentanner Park valid reviews is 77.05% and is based on 132 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

32 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 132 valid reviews, the experience has 32 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 32 face-to-face reviews:

Rating Count Percentage
10/10 7
22%
9/10 6
19%
8/10 11
34%
7/10 4
13%
6/10 1
3%
5/10 1
3%
4/10 1
3%
3/10 0
0%
2/10 1
3%
1/10 0
0%

80.31% Average

The raw data average (mean) for all the Glentanner Park face-to-face reviews is 80.31% and is based on 32 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.

Weighted Average

82.24%

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
Fabio Sinicropi 2/10 131 days 46%
Carol Seah 9/10 161 days 100%
Stephanie Hunt 8/10 192 days 98%
Philippe Durut 8/10 253 days 97%
Haydyn Bevis 10/10 253 days 99%
Christina Heying 10/10 281 days 98%
Jan 5/10 281 days 75%
shane hassing 10/10 281 days 98%
Kari Flanagan 10/10 312 days 97%
Dov Kotlar 10/10 312 days 97%
M C 3/10 373 days 51%
Jim Tikalsky 8/10 373 days 93%
Rich 8/10 434 days 90%
Greg Caruso 9/10 646 days 77%
Nick 4/10 677 days 49%
Caron 10/10 952 days 50%
Vantrolls 7/10 983 days 43%
Monika 10/10 983 days 47%
Janet Lewis 9/10 1043 days 40%
Marie Perret 8/10 1135 days 32%
Dillon 8/10 1196 days 28%
小B 5/10 1318 days 15%
Reiner Elze 5/10 1318 days 15%
Esther 10/10 1377 days 17%
Trui Waalwijk 10/10 1377 days 17%
Jaycee 8/10 1408 days 15%
Sophie Rellensmann 6/10 1408 days 13%
Olivia 10/10 1408 days 15%
RR 9/10 1439 days 14%
Strider 8/10 1439 days 13%
Yuvin 10/10 1530 days 10%
Team Wright 9/10 1683 days 6%
Lisa 9/10 1865 days 5%
Graham 9/10 2169 days 4%
Rach 7/10 2199 days 4%
Dulan 8/10 2291 days 4%
Carla 10/10 2473 days 4%
Ellie 10/10 2473 days 4%
Courtney 9/10 2473 days 4%
Erica 8/10 2504 days 4%
Tom Z. 10/10 2504 days 4%
Lola 9/10 2565 days 4%
Arnout 7/10 2596 days 3%
Camper 2/10 2718 days 1%
Ranjit 8/10 2779 days 3%
Maggie 8/10 2779 days 3%
Kosala Perera 8/10 2838 days 3%
Kimberly Boyle 9/10 2838 days 3%
Zoe 8/10 2869 days 3%
Kevin O'Brien 7/10 2869 days 3%
Ian 9/10 2930 days 3%
Robert 7/10 2961 days 3%
Shira LA 2/10 3203 days 1%
Leong Mee Yee 5/10 3207 days 1%
Alecsandra Ghita 6/10 3241 days 2%
Audrey Wong 5/10 3242 days 2%
Tay Dao Han 10/10 3250 days 2%
Katie Jansen 2/10 3340 days 1%
Vanessa Stubbs 7/10 3352 days 2%
Jill Sharpe 1/10 3490 days 1%
Victoria Strong 7/10 3597 days 1%
Martin Taylor 10/10 3598 days 1%
Alan Brown 8/10 3598 days 1%
Jane Powell 2/10 3621 days 1%
Darren Bolton 4/10 3638 days 1%
Zipora Risakotta 7/10 3683 days 1%
Donguk Chung 10/10 3791 days 1%
Al Hindley 8/10 3903 days 1%
Lay Tyng Chan 7/10 3941 days 1%
hendrik king 8/10 3995 days 1%
Sarah Gurney 8/10 4016 days 1%
Amy Steiger 8/10 4117 days 0%
Georgia Posar 10/10 4186 days 0%
Yvonne Wu 8/10 4209 days 0%
Wolfgang Rank 8/10 4239 days 0%
Andrew Cruickshank 9/10 4270 days 0%
Averil Brown 8/10 4296 days 0%
Robert Warner 7/10 4298 days 0%
misstassie 8/10 4329 days 0%
Fabian Rodriguez 6/10 4544 days 1%
Michelle K 2/10 4575 days 0%
Ara Moore-Tuwhangai 8/10 4575 days 1%
Brita Topp 8/10 4636 days 1%
Nicholas Ng 3/10 4726 days 0%
Cuz da Maori 8/10 4726 days 1%
griff griffiths 10/10 4726 days 1%
Mary 4/10 5001 days 1%
Cmi 9/10 5060 days 1%
David 10/10 5121 days 1%
sueadegizmo 8/10 5274 days 1%
elaineandbob 5/10 5335 days 1%
nicky2284 10/10 5335 days 1%
Matthias Angela 6/10 5360 days 1%
Def Fem 8/10 5361 days 1%
Rick Moth 7/10 5375 days 1%
Dieter Mangold 4/10 5378 days 0%
John Hughes 8/10 5387 days 1%
Ursi Meier 8/10 5389 days 1%
Jessica Lane 2/10 5392 days 0%
Nicole van Bergen 8/10 5394 days 1%
amounstephen 9/10 5395 days 1%
Mike1952 8/10 5395 days 1%
qofd 8/10 5671 days 1%
Jon_and_Family 8/10 5701 days 1%
Judith 7/10 5718 days 1%
Rene Jakel 10/10 5728 days 1%
Katie Mitchell 10/10 5732 days 1%
Gael Romain 8/10 5732 days 1%
Eva Bock 8/10 5735 days 1%
Daniel Bogdanowitsch 9/10 5751 days 1%
Robert Haidt 10/10 5753 days 1%
dollimyxture 5/10 5791 days 1%
saraswitzer 9/10 6066 days 1%
Bowness 10/10 6084 days 1%
Bert Meuleuorijks 8/10 6093 days 1%
Jenny 10/10 6105 days 1%
Chris Glasg 7/10 6105 days 1%
Dieter Groscurth 9/10 6107 days 1%
M Sicard 9/10 6107 days 1%
A Southwood 9/10 6119 days 1%
Inga 7/10 6123 days 1%
gandj 9/10 6125 days 1%
Susi Schoetzler 8/10 6145 days 1%
Melanie Bielefeld 10/10 6189 days 1%
Kathrin Thomas 8/10 6199 days 1%
Uerilie Stolareh 10/10 6200 days 1%
hellami 7/10 6217 days 1%
Ruth Kinder 9/10 6217 days 1%
DirkGermany 10/10 6426 days 1%
geoffelizabeth 8/10 6431 days 1%
GrahamM1 9/10 6464 days 1%
Roy 8/10 6472 days 1%

Adjustments

Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.

Sample Size Adjustment

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 Glentanner Park experience has plenty of reviews and does not meet the criteria for any adjustment.

Recent Reviews Adjustment

-2.43% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 47 days. However the Glentanner Park 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 Glentanner Park experience has been adjusted for 123 days. Adjustments are according to the following table.

Days Adjustment
… …
120 -2.37%
121 -2.39%
122 -2.41%
123 -2.43%
124 -2.45%
125 -2.47%
126 -2.49%
… …

Balancing Adjustment

3.05% 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.

Final Ranking Score

83%

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.