G'day, 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 Wellington TOP 10 Holiday 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

Wellington TOP 10 Holiday Park

Valid Reviews

195 Valid Reviews

The Wellington TOP 10 Holiday Park experience has a total of 198 reviews. There are 195 valid reviews that are included when calculating the ranking score and 3 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 195 valid reviews:

Rating Count Percentage
10/10 22
11%
9/10 33
17%
8/10 34
17%
7/10 25
13%
6/10 22
11%
5/10 22
11%
4/10 10
5%
3/10 7
4%
2/10 10
5%
1/10 10
5%

66.51% Average

The raw data average (mean) for all the Wellington TOP 10 Holiday Park valid reviews is 66.51% and is based on 195 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

121 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 195 valid reviews, the experience has 121 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 121 face-to-face reviews:

Rating Count Percentage
10/10 12
10%
9/10 22
18%
8/10 19
16%
7/10 13
11%
6/10 16
13%
5/10 18
15%
4/10 8
7%
3/10 5
4%
2/10 5
4%
1/10 3
2%

66.69% Average

The raw data average (mean) for all the Wellington TOP 10 Holiday Park face-to-face reviews is 66.69% and is based on 121 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.

Weighted Average

81.49%

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
Clement 7/10 119 days 99%
Carmen 6/10 272 days 88%
Jonas Ng 10/10 334 days 100%
Morgane 8/10 515 days 89%
Le 10/10 576 days 87%
Bevjean 10/10 607 days 84%
Aragorn 9/10 760 days 71%
Maud Jabouley 10/10 760 days 71%
Terry 9/10 881 days 59%
Katy 5/10 881 days 45%
Tzan from CA 6/10 1065 days 35%
Fletch 10/10 1215 days 28%
Linda 9/10 1215 days 27%
Amy Shoemake 8/10 1277 days 23%
Erin Cheng 4/10 1277 days 15%
Lucas 8/10 1307 days 21%
Sarah 10/10 1338 days 19%
James 8/10 1642 days 7%
charles 1/10 1917 days 2%
Leigh Billing 1/10 1976 days 2%
K1W1jax 2/10 2190 days 2%
Lyn McIvor 9/10 2282 days 4%
Maria 1/10 2282 days 1%
Liz Wade 8/10 2311 days 4%
Ian & Wendy 1/10 2311 days 1%
Moritz 8/10 2342 days 4%
Christoph 5/10 2342 days 3%
Mrs Lounis 8/10 2373 days 4%
Ryan 8/10 2403 days 4%
Kate 8/10 2587 days 3%
Clare & Gerry 10/10 2648 days 3%
Jgcanada 10/10 2676 days 3%
Leanne 8/10 2676 days 3%
Nadja Kampfhenkel 7/10 2707 days 3%
helen reeve 9/10 2799 days 3%
Boguslaw MAKIELLO 2/10 2996 days 1%
Shira LA 7/10 3041 days 2%
Helen Rimmer 10/10 3053 days 2%
Marine Fauquenot 6/10 3057 days 2%
Lene Hendel 6/10 3058 days 2%
Debbie Lesurf 9/10 3110 days 2%
Carl von Horstig 6/10 3142 days 2%
Jasmine Andrew 9/10 3148 days 2%
Lei Horton 9/10 3234 days 2%
Paul Batty 7/10 3249 days 2%
Roger Foley 1/10 3347 days 0%
Mailhos Cécile 7/10 3381 days 2%
Paula Barclay 3/10 3392 days 1%
Charlie Vaughan 6/10 3394 days 1%
Greg Parkes 7/10 3410 days 1%
Rebecca Lindsey 7/10 3437 days 1%
Gaurav Bhutani 5/10 3437 days 1%
ben carroll 4/10 3529 days 1%
Peter Barker 8/10 3722 days 1%
Christina Wakolbinger 1/10 3748 days 0%
Staffan Johansson 9/10 3754 days 1%
Nina 3/10 3803 days 0%
Ron Web 7/10 3864 days 1%
Will Waine 9/10 3956 days 0%
Elka Keijzer 5/10 4048 days 0%
holidaymad from Solihull 8/10 4168 days 0%
Mike Fricker 8/10 4443 days 1%
Helma Druyken 6/10 4472 days 0%
MARK PALMER 2/10 4474 days 0%
Eva-Maria Krueger 7/10 4474 days 1%
Janina Zwerver 5/10 4476 days 0%
Chris 10/10 4533 days 1%
Elin Andersson 8/10 4533 days 1%
Elin Paulssen 9/10 4533 days 1%
Xan Northman 7/10 4533 days 1%
W & K Boyd 2/10 4655 days 0%
Ton Martens 3/10 4830 days 0%
Michael Nolan 8/10 4839 days 1%
Schuster 4/10 4852 days 0%
Andrew Pearce 9/10 4898 days 1%
Hanneke P 7/10 4898 days 1%
Tony Hines 9/10 4915 days 1%
Peter 8/10 4922 days 1%
Anne and John 6/10 4928 days 0%
Terry Coles 9/10 4929 days 1%
Marian 5/10 4931 days 0%
Adam Hassan 6/10 4934 days 0%
Henzen 7/10 4938 days 1%
Julia Ramseier 10/10 4941 days 1%
Lisa Blake 5/10 4945 days 0%
Verest 9/10 4945 days 1%
Megan Child 9/10 4946 days 1%
Peter Kent 10/10 5191 days 1%
Michael Touzer 5/10 5199 days 0%
Frank Claassen 8/10 5200 days 1%
Michael Jefferies 9/10 5207 days 1%
D van Dongen 7/10 5208 days 1%
Manuela 6/10 5209 days 0%
Lotte Zwail 7/10 5213 days 1%
Frans Roebroek 9/10 5215 days 1%
Patricia Fearon 7/10 5216 days 1%
Merlyn 6/10 5217 days 0%
Ozgla 1/10 5217 days 0%
Gillian MacLaren 5/10 5218 days 0%
Dave Simpson 9/10 5218 days 1%
Lepied 5/10 5220 days 0%
Beyeler 10/10 5221 days 1%
Graham Swinyard 8/10 5227 days 1%
Maria Dietrich 8/10 5228 days 1%
Hans Erik Munch 6/10 5231 days 0%
Margaret Wendell 7/10 5231 days 1%
Sebastian 8/10 5231 days 1%
Steve Collier 4/10 5232 days 0%
Marie Frank 10/10 5233 days 1%
Sandy & Michaela 10/10 5246 days 1%
Graham 7/10 5264 days 1%
ZephyrTL 2/10 5264 days 0%
hendrik king 1/10 5264 days 0%
Niels Daubjerg 10/10 5296 days 1%
Robert Carswell 9/10 5301 days 1%
Steve Eley 1/10 5304 days 0%
Jan & Marian 6/10 5307 days 0%
Rudlinger 4/10 5312 days 0%
Verhahr 5/10 5315 days 0%
Gary A 9/10 5325 days 1%
damaca 2/10 5386 days 0%
Dave van Bergen 8/10 5534 days 1%
Ralph & Marloes Meyers 8/10 5538 days 1%
Philip Gierke 8/10 5544 days 1%
Adi Leheucel 4/10 5551 days 0%
Oliver Berg 5/10 5553 days 0%
Karsten Tannhauser 8/10 5553 days 1%
Dave Jones 7/10 5554 days 1%
Rens Hemselmans 6/10 5556 days 0%
Michael Simmang 8/10 5558 days 1%
Michael Howat 7/10 5560 days 1%
Nicola Shaw 8/10 5563 days 1%
Katy Bourne 5/10 5564 days 0%
Kathleen Brown 4/10 5568 days 0%
Melanie Gruber 8/10 5571 days 1%
Diete Rokosch 9/10 5571 days 1%
Anne 5/10 5572 days 0%
Colin Lockwood 7/10 5573 days 1%
Annelie & Martin 8/10 5574 days 1%
Anita Aleva 6/10 5582 days 0%
Haan Begerian 5/10 5584 days 0%
Kurt 7/10 5585 days 1%
Annie Pennington 10/10 5585 days 1%
Pat MacDonald 7/10 5585 days 1%
David 6/10 5588 days 0%
Marianne Astorp 6/10 5589 days 0%
Rossiter 5/10 5591 days 0%
D Oostrum 9/10 5593 days 1%
Iain Sutherland 8/10 5593 days 1%
Meg & Steve 6/10 5868 days 0%
uceil 4/10 5883 days 0%
Andy & Louise Dutton 10/10 5922 days 1%
Richard Spore 8/10 5922 days 1%
Pam Know 6/10 5930 days 0%
Tony Killingray 3/10 5938 days 0%
Chris Jones 2/10 5941 days 0%
Pierre Pilon 9/10 5943 days 1%
Denecke Thorsten 4/10 5944 days 0%
Roger Trusedale 3/10 5945 days 0%
Bunnik 9/10 5948 days 1%
Marc Hoehstra 8/10 5949 days 1%
Alan Howe 6/10 5955 days 0%
Helen Power 9/10 5958 days 1%
Bryan Keddie 3/10 5959 days 0%
joe Reibli 10/10 5960 days 1%
Hoogh 9/10 5960 days 1%
Pizzanelli 5/10 5962 days 0%
Jeannot Robert 10/10 5973 days 1%
Douglas Kirby 6/10 5976 days 0%
Gerry Donoghue 7/10 5977 days 1%
Colin Morbey 8/10 5977 days 1%
Bartlett nz 7/10 5980 days 1%
biene 2/10 6009 days 0%
annett 2/10 6010 days 0%
willemrn 4/10 6010 days 0%
mariak 3/10 6011 days 0%
nadinef 7/10 6017 days 1%
hofstetterf 9/10 6023 days 1%
katepat 8/10 6025 days 1%
carolineder 5/10 6025 days 0%
Anne Ford 9/10 6027 days 1%
Antje & Sascha Häusler 5/10 6029 days 0%
Chris Mackamul 10/10 6032 days 1%
Sibylle Locher 9/10 6033 days 1%
David D S 6/10 6033 days 0%
Kazmeister 8/10 6055 days 1%
Tracy & Peter Cassidy 1/10 6064 days 0%
katesh 9/10 6224 days 1%
BVanW 5/10 6261 days 0%
desl 10/10 6269 days 1%
Katy1 9/10 6271 days 1%
Colin Heath 2/10 6287 days 0%
Marina 5/10 6311 days 0%
Nick 9/10 6312 days 1%
Joosten 5/10 6315 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 Wellington TOP 10 Holiday Park experience has plenty of reviews and does not meet the criteria for any adjustment.

Recent Reviews Adjustment

-1.20% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 105 days. However the Wellington TOP 10 Holiday 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 Wellington TOP 10 Holiday Park experience has been adjusted for 97 days. Adjustments are according to the following table.

Days Adjustment
94 -1.16%
95 -1.17%
96 -1.19%
97 -1.20%
98 -1.21%
99 -1.22%
100 -1.24%

Balancing Adjustment

2.92% 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.