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

82.31%

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 19 days 46%
Carol Seah 9/10 49 days 100%
Stephanie Hunt 8/10 80 days 99%
Philippe Durut 8/10 141 days 98%
Haydyn Bevis 10/10 141 days 100%
Christina Heying 10/10 169 days 99%
Jan 5/10 169 days 76%
shane hassing 10/10 169 days 99%
Kari Flanagan 10/10 200 days 99%
Dov Kotlar 10/10 200 days 99%
M C 3/10 261 days 53%
Jim Tikalsky 8/10 261 days 95%
Rich 8/10 322 days 93%
Greg Caruso 9/10 534 days 84%
Nick 4/10 565 days 54%
Caron 10/10 840 days 60%
Vantrolls 7/10 871 days 53%
Monika 10/10 871 days 57%
Janet Lewis 9/10 931 days 51%
Marie Perret 8/10 1023 days 41%
Dillon 8/10 1084 days 36%
小B 5/10 1206 days 20%
Reiner Elze 5/10 1206 days 20%
Esther 10/10 1265 days 23%
Trui Waalwijk 10/10 1265 days 23%
Jaycee 8/10 1296 days 21%
Sophie Rellensmann 6/10 1296 days 18%
Olivia 10/10 1296 days 21%
RR 9/10 1327 days 19%
Strider 8/10 1327 days 19%
Yuvin 10/10 1418 days 14%
Team Wright 9/10 1571 days 8%
Lisa 9/10 1753 days 5%
Graham 9/10 2057 days 4%
Rach 7/10 2087 days 4%
Dulan 8/10 2179 days 4%
Carla 10/10 2361 days 4%
Ellie 10/10 2361 days 4%
Courtney 9/10 2361 days 4%
Erica 8/10 2392 days 4%
Tom Z. 10/10 2392 days 4%
Lola 9/10 2453 days 3%
Arnout 7/10 2484 days 3%
Camper 2/10 2606 days 1%
Ranjit 8/10 2667 days 3%
Maggie 8/10 2667 days 3%
Kosala Perera 8/10 2726 days 3%
Kimberly Boyle 9/10 2726 days 3%
Zoe 8/10 2757 days 3%
Kevin O'Brien 7/10 2757 days 3%
Ian 9/10 2818 days 3%
Robert 7/10 2849 days 3%
Shira LA 2/10 3091 days 1%
Leong Mee Yee 5/10 3095 days 1%
Alecsandra Ghita 6/10 3129 days 2%
Audrey Wong 5/10 3130 days 2%
Tay Dao Han 10/10 3138 days 2%
Katie Jansen 2/10 3228 days 1%
Vanessa Stubbs 7/10 3240 days 2%
Jill Sharpe 1/10 3378 days 0%
Victoria Strong 7/10 3485 days 1%
Martin Taylor 10/10 3486 days 1%
Alan Brown 8/10 3486 days 1%
Jane Powell 2/10 3509 days 0%
Darren Bolton 4/10 3526 days 1%
Zipora Risakotta 7/10 3571 days 1%
Donguk Chung 10/10 3679 days 1%
Al Hindley 8/10 3791 days 1%
Lay Tyng Chan 7/10 3829 days 1%
hendrik king 8/10 3883 days 1%
Sarah Gurney 8/10 3904 days 1%
Amy Steiger 8/10 4005 days 0%
Georgia Posar 10/10 4074 days 0%
Yvonne Wu 8/10 4097 days 0%
Wolfgang Rank 8/10 4127 days 0%
Andrew Cruickshank 9/10 4158 days 0%
Averil Brown 8/10 4184 days 0%
Robert Warner 7/10 4186 days 0%
misstassie 8/10 4217 days 0%
Fabian Rodriguez 6/10 4432 days 1%
Michelle K 2/10 4463 days 0%
Ara Moore-Tuwhangai 8/10 4463 days 1%
Brita Topp 8/10 4524 days 1%
Nicholas Ng 3/10 4614 days 0%
Cuz da Maori 8/10 4614 days 1%
griff griffiths 10/10 4614 days 1%
Mary 4/10 4889 days 0%
Cmi 9/10 4948 days 1%
David 10/10 5009 days 1%
sueadegizmo 8/10 5162 days 1%
elaineandbob 5/10 5223 days 0%
nicky2284 10/10 5223 days 1%
Matthias Angela 6/10 5248 days 0%
Def Fem 8/10 5249 days 0%
Rick Moth 7/10 5263 days 0%
Dieter Mangold 4/10 5266 days 0%
John Hughes 8/10 5275 days 0%
Ursi Meier 8/10 5277 days 0%
Jessica Lane 2/10 5280 days 0%
Nicole van Bergen 8/10 5282 days 0%
amounstephen 9/10 5283 days 1%
Mike1952 8/10 5283 days 1%
qofd 8/10 5559 days 1%
Jon_and_Family 8/10 5589 days 1%
Judith 7/10 5606 days 0%
Rene Jakel 10/10 5616 days 0%
Katie Mitchell 10/10 5620 days 1%
Gael Romain 8/10 5620 days 0%
Eva Bock 8/10 5623 days 0%
Daniel Bogdanowitsch 9/10 5639 days 0%
Robert Haidt 10/10 5641 days 0%
dollimyxture 5/10 5679 days 0%
saraswitzer 9/10 5954 days 0%
Bowness 10/10 5972 days 0%
Bert Meuleuorijks 8/10 5981 days 0%
Jenny 10/10 5993 days 0%
Chris Glasg 7/10 5993 days 0%
Dieter Groscurth 9/10 5995 days 0%
M Sicard 9/10 5995 days 0%
A Southwood 9/10 6007 days 0%
Inga 7/10 6011 days 0%
gandj 9/10 6013 days 1%
Susi Schoetzler 8/10 6033 days 0%
Melanie Bielefeld 10/10 6077 days 0%
Kathrin Thomas 8/10 6087 days 0%
Uerilie Stolareh 10/10 6088 days 0%
hellami 7/10 6105 days 1%
Ruth Kinder 9/10 6105 days 1%
DirkGermany 10/10 6314 days 0%
geoffelizabeth 8/10 6319 days 0%
GrahamM1 9/10 6352 days 0%
Roy 8/10 6360 days 0%

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

-0.11% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 125 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 11 days. Adjustments are according to the following table.

Days Adjustment
8 -0.08%
9 -0.09%
10 -0.10%
11 -0.11%
12 -0.12%
13 -0.13%
14 -0.14%

Balancing Adjustment

2.43% 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

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.