Kia ora, 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

82.27%

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 91 days 46%
Carol Seah 9/10 121 days 100%
Stephanie Hunt 8/10 152 days 99%
Philippe Durut 8/10 213 days 97%
Haydyn Bevis 10/10 213 days 99%
Christina Heying 10/10 241 days 98%
Jan 5/10 241 days 75%
shane hassing 10/10 241 days 98%
Kari Flanagan 10/10 272 days 98%
Dov Kotlar 10/10 272 days 98%
M C 3/10 333 days 52%
Jim Tikalsky 8/10 333 days 94%
Rich 8/10 394 days 91%
Greg Caruso 9/10 606 days 80%
Nick 4/10 637 days 51%
Caron 10/10 912 days 53%
Vantrolls 7/10 943 days 47%
Monika 10/10 943 days 50%
Janet Lewis 9/10 1003 days 44%
Marie Perret 8/10 1095 days 35%
Dillon 8/10 1156 days 30%
小B 5/10 1278 days 17%
Reiner Elze 5/10 1278 days 17%
Esther 10/10 1337 days 19%
Trui Waalwijk 10/10 1337 days 19%
Jaycee 8/10 1368 days 17%
Sophie Rellensmann 6/10 1368 days 15%
Olivia 10/10 1368 days 17%
RR 9/10 1399 days 15%
Strider 8/10 1399 days 15%
Yuvin 10/10 1490 days 11%
Team Wright 9/10 1643 days 7%
Lisa 9/10 1825 days 5%
Graham 9/10 2129 days 4%
Rach 7/10 2159 days 4%
Dulan 8/10 2251 days 4%
Carla 10/10 2433 days 4%
Ellie 10/10 2433 days 4%
Courtney 9/10 2433 days 4%
Erica 8/10 2464 days 4%
Tom Z. 10/10 2464 days 4%
Lola 9/10 2525 days 3%
Arnout 7/10 2556 days 3%
Camper 2/10 2678 days 1%
Ranjit 8/10 2739 days 3%
Maggie 8/10 2739 days 3%
Kosala Perera 8/10 2798 days 3%
Kimberly Boyle 9/10 2798 days 3%
Zoe 8/10 2829 days 3%
Kevin O'Brien 7/10 2829 days 3%
Ian 9/10 2890 days 3%
Robert 7/10 2921 days 3%
Shira LA 2/10 3163 days 1%
Leong Mee Yee 5/10 3167 days 1%
Alecsandra Ghita 6/10 3201 days 2%
Audrey Wong 5/10 3202 days 2%
Tay Dao Han 10/10 3210 days 2%
Katie Jansen 2/10 3300 days 1%
Vanessa Stubbs 7/10 3312 days 2%
Jill Sharpe 1/10 3450 days 1%
Victoria Strong 7/10 3557 days 1%
Martin Taylor 10/10 3558 days 1%
Alan Brown 8/10 3558 days 1%
Jane Powell 2/10 3581 days 1%
Darren Bolton 4/10 3598 days 1%
Zipora Risakotta 7/10 3643 days 1%
Donguk Chung 10/10 3751 days 1%
Al Hindley 8/10 3863 days 1%
Lay Tyng Chan 7/10 3901 days 1%
hendrik king 8/10 3955 days 1%
Sarah Gurney 8/10 3976 days 1%
Amy Steiger 8/10 4077 days 0%
Georgia Posar 10/10 4146 days 0%
Yvonne Wu 8/10 4169 days 0%
Wolfgang Rank 8/10 4199 days 0%
Andrew Cruickshank 9/10 4230 days 0%
Averil Brown 8/10 4256 days 0%
Robert Warner 7/10 4258 days 0%
misstassie 8/10 4289 days 0%
Fabian Rodriguez 6/10 4504 days 1%
Michelle K 2/10 4535 days 0%
Ara Moore-Tuwhangai 8/10 4535 days 1%
Brita Topp 8/10 4596 days 1%
Nicholas Ng 3/10 4686 days 0%
Cuz da Maori 8/10 4686 days 1%
griff griffiths 10/10 4686 days 1%
Mary 4/10 4961 days 0%
Cmi 9/10 5020 days 1%
David 10/10 5081 days 1%
sueadegizmo 8/10 5234 days 1%
elaineandbob 5/10 5295 days 1%
nicky2284 10/10 5295 days 1%
Matthias Angela 6/10 5320 days 0%
Def Fem 8/10 5321 days 1%
Rick Moth 7/10 5335 days 1%
Dieter Mangold 4/10 5338 days 0%
John Hughes 8/10 5347 days 1%
Ursi Meier 8/10 5349 days 1%
Jessica Lane 2/10 5352 days 0%
Nicole van Bergen 8/10 5354 days 1%
amounstephen 9/10 5355 days 1%
Mike1952 8/10 5355 days 1%
qofd 8/10 5631 days 1%
Jon_and_Family 8/10 5661 days 1%
Judith 7/10 5678 days 1%
Rene Jakel 10/10 5688 days 1%
Katie Mitchell 10/10 5692 days 1%
Gael Romain 8/10 5692 days 1%
Eva Bock 8/10 5695 days 1%
Daniel Bogdanowitsch 9/10 5711 days 1%
Robert Haidt 10/10 5713 days 1%
dollimyxture 5/10 5751 days 1%
saraswitzer 9/10 6026 days 1%
Bowness 10/10 6044 days 1%
Bert Meuleuorijks 8/10 6053 days 1%
Jenny 10/10 6065 days 1%
Chris Glasg 7/10 6065 days 1%
Dieter Groscurth 9/10 6067 days 1%
M Sicard 9/10 6067 days 1%
A Southwood 9/10 6079 days 1%
Inga 7/10 6083 days 1%
gandj 9/10 6085 days 1%
Susi Schoetzler 8/10 6105 days 1%
Melanie Bielefeld 10/10 6149 days 1%
Kathrin Thomas 8/10 6159 days 1%
Uerilie Stolareh 10/10 6160 days 1%
hellami 7/10 6177 days 1%
Ruth Kinder 9/10 6177 days 1%
DirkGermany 10/10 6386 days 1%
geoffelizabeth 8/10 6391 days 1%
GrahamM1 9/10 6424 days 1%
Roy 8/10 6432 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

-1.35% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 68 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 83 days. Adjustments are according to the following table.

Days Adjustment
… …
80 -1.30%
81 -1.32%
82 -1.33%
83 -1.35%
84 -1.37%
85 -1.38%
86 -1.40%
… …

Balancing Adjustment

2.75% 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

84%

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.