Ranking Score Explained

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 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

194 Valid Reviews

The Wellington TOP 10 Holiday Park experience has a total of 197 reviews. There are 194 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 194 valid reviews:

Rating Count Percentage
10/10 22
11%
9/10 33
17%
8/10 34
18%
7/10 24
12%
6/10 22
11%
5/10 22
11%
4/10 10
5%
3/10 7
4%
2/10 10
5%
1/10 10
5%

66.49% Average

The raw data average (mean) for all the Wellington TOP 10 Holiday Park valid reviews is 66.49% and is based on 194 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 194 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

82.60%

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
Carmen 6/10 104 days 87%
Jonas Ng 10/10 166 days 100%
Morgane 8/10 347 days 93%
Le 10/10 408 days 92%
Bevjean 10/10 439 days 90%
Aragorn 9/10 592 days 80%
Maud Jabouley 10/10 592 days 81%
Terry 9/10 713 days 71%
Katy 5/10 713 days 55%
Tzan from CA 6/10 897 days 47%
Fletch 10/10 1047 days 40%
Linda 9/10 1047 days 40%
Amy Shoemake 8/10 1109 days 34%
Erin Cheng 4/10 1109 days 23%
Lucas 8/10 1139 days 32%
Sarah 10/10 1170 days 30%
James 8/10 1474 days 12%
charles 1/10 1749 days 2%
Leigh Billing 1/10 1808 days 2%
K1W1jax 2/10 2022 days 2%
Lyn McIvor 9/10 2114 days 4%
Maria 1/10 2114 days 2%
Liz Wade 8/10 2143 days 4%
Ian & Wendy 1/10 2143 days 2%
Moritz 8/10 2174 days 4%
Christoph 5/10 2174 days 3%
Mrs Lounis 8/10 2205 days 4%
Ryan 8/10 2235 days 4%
Kate 8/10 2419 days 4%
Clare & Gerry 10/10 2480 days 4%
Jgcanada 10/10 2508 days 4%
Leanne 8/10 2508 days 4%
Nadja Kampfhenkel 7/10 2539 days 3%
helen reeve 9/10 2631 days 3%
Boguslaw MAKIELLO 2/10 2828 days 1%
Shira LA 7/10 2873 days 3%
Helen Rimmer 10/10 2885 days 3%
Marine Fauquenot 6/10 2889 days 3%
Lene Hendel 6/10 2890 days 3%
Debbie Lesurf 9/10 2942 days 3%
Carl von Horstig 6/10 2974 days 2%
Jasmine Andrew 9/10 2980 days 3%
Lei Horton 9/10 3066 days 3%
Paul Batty 7/10 3081 days 2%
Roger Foley 1/10 3179 days 1%
Mailhos Cécile 7/10 3213 days 2%
Paula Barclay 3/10 3224 days 1%
Charlie Vaughan 6/10 3226 days 2%
Greg Parkes 7/10 3242 days 2%
Rebecca Lindsey 7/10 3269 days 2%
Gaurav Bhutani 5/10 3269 days 2%
ben carroll 4/10 3361 days 1%
Peter Barker 8/10 3554 days 2%
Christina Wakolbinger 1/10 3580 days 1%
Staffan Johansson 9/10 3586 days 2%
Nina 3/10 3635 days 1%
Ron Web 7/10 3696 days 1%
Will Waine 9/10 3788 days 1%
Elka Keijzer 5/10 3880 days 1%
holidaymad from Solihull 8/10 4000 days 1%
Mike Fricker 8/10 4275 days 0%
Helma Druyken 6/10 4304 days 0%
MARK PALMER 2/10 4306 days 0%
Eva-Maria Krueger 7/10 4306 days 0%
Janina Zwerver 5/10 4308 days 0%
Chris 10/10 4365 days 0%
Elin Andersson 8/10 4365 days 0%
Elin Paulssen 9/10 4365 days 0%
Xan Northman 7/10 4365 days 0%
W & K Boyd 2/10 4487 days 0%
Ton Martens 3/10 4662 days 1%
Michael Nolan 8/10 4671 days 1%
Schuster 4/10 4684 days 1%
Andrew Pearce 9/10 4730 days 1%
Hanneke P 7/10 4730 days 1%
Tony Hines 9/10 4747 days 1%
Peter 8/10 4754 days 1%
Anne and John 6/10 4760 days 1%
Terry Coles 9/10 4761 days 1%
Marian 5/10 4763 days 1%
Adam Hassan 6/10 4766 days 1%
Henzen 7/10 4770 days 1%
Julia Ramseier 10/10 4773 days 1%
Lisa Blake 5/10 4777 days 1%
Verest 9/10 4777 days 1%
Megan Child 9/10 4778 days 1%
Peter Kent 10/10 5023 days 1%
Michael Touzer 5/10 5031 days 1%
Frank Claassen 8/10 5032 days 1%
Michael Jefferies 9/10 5039 days 1%
D van Dongen 7/10 5040 days 1%
Manuela 6/10 5041 days 1%
Lotte Zwail 7/10 5045 days 1%
Frans Roebroek 9/10 5047 days 1%
Patricia Fearon 7/10 5048 days 1%
Merlyn 6/10 5049 days 1%
Ozgla 1/10 5049 days 0%
Gillian MacLaren 5/10 5050 days 1%
Dave Simpson 9/10 5050 days 1%
Lepied 5/10 5052 days 1%
Beyeler 10/10 5053 days 1%
Graham Swinyard 8/10 5059 days 1%
Maria Dietrich 8/10 5060 days 1%
Hans Erik Munch 6/10 5063 days 1%
Margaret Wendell 7/10 5063 days 1%
Sebastian 8/10 5063 days 1%
Steve Collier 4/10 5064 days 1%
Marie Frank 10/10 5065 days 1%
Sandy & Michaela 10/10 5078 days 1%
Graham 7/10 5096 days 1%
ZephyrTL 2/10 5096 days 0%
hendrik king 1/10 5096 days 0%
Niels Daubjerg 10/10 5128 days 1%
Robert Carswell 9/10 5133 days 1%
Steve Eley 1/10 5136 days 0%
Jan & Marian 6/10 5139 days 1%
Rudlinger 4/10 5144 days 1%
Verhahr 5/10 5147 days 1%
Gary A 9/10 5157 days 1%
damaca 2/10 5218 days 0%
Dave van Bergen 8/10 5366 days 1%
Ralph & Marloes Meyers 8/10 5370 days 1%
Philip Gierke 8/10 5376 days 1%
Adi Leheucel 4/10 5383 days 1%
Oliver Berg 5/10 5385 days 1%
Karsten Tannhauser 8/10 5385 days 1%
Dave Jones 7/10 5386 days 1%
Rens Hemselmans 6/10 5388 days 1%
Michael Simmang 8/10 5390 days 1%
Michael Howat 7/10 5392 days 1%
Nicola Shaw 8/10 5395 days 1%
Katy Bourne 5/10 5396 days 1%
Kathleen Brown 4/10 5400 days 1%
Melanie Gruber 8/10 5403 days 1%
Diete Rokosch 9/10 5403 days 1%
Anne 5/10 5404 days 1%
Colin Lockwood 7/10 5405 days 1%
Annelie & Martin 8/10 5406 days 1%
Anita Aleva 6/10 5414 days 1%
Haan Begerian 5/10 5416 days 1%
Kurt 7/10 5417 days 1%
Annie Pennington 10/10 5417 days 1%
Pat MacDonald 7/10 5417 days 1%
David 6/10 5420 days 1%
Marianne Astorp 6/10 5421 days 1%
Rossiter 5/10 5423 days 1%
D Oostrum 9/10 5425 days 1%
Iain Sutherland 8/10 5425 days 1%
Meg & Steve 6/10 5700 days 1%
uceil 4/10 5715 days 1%
Andy & Louise Dutton 10/10 5754 days 1%
Richard Spore 8/10 5754 days 1%
Pam Know 6/10 5762 days 1%
Tony Killingray 3/10 5770 days 1%
Chris Jones 2/10 5773 days 0%
Pierre Pilon 9/10 5775 days 1%
Denecke Thorsten 4/10 5776 days 1%
Roger Trusedale 3/10 5777 days 1%
Bunnik 9/10 5780 days 1%
Marc Hoehstra 8/10 5781 days 1%
Alan Howe 6/10 5787 days 1%
Helen Power 9/10 5790 days 1%
Bryan Keddie 3/10 5791 days 1%
joe Reibli 10/10 5792 days 1%
Hoogh 9/10 5792 days 1%
Pizzanelli 5/10 5794 days 1%
Jeannot Robert 10/10 5805 days 1%
Douglas Kirby 6/10 5808 days 1%
Gerry Donoghue 7/10 5809 days 1%
Colin Morbey 8/10 5809 days 1%
Bartlett nz 7/10 5812 days 1%
biene 2/10 5841 days 0%
annett 2/10 5842 days 0%
willemrn 4/10 5842 days 1%
mariak 3/10 5843 days 1%
nadinef 7/10 5849 days 1%
hofstetterf 9/10 5855 days 1%
katepat 8/10 5857 days 1%
carolineder 5/10 5857 days 1%
Anne Ford 9/10 5859 days 1%
Antje & Sascha Häusler 5/10 5861 days 1%
Chris Mackamul 10/10 5864 days 1%
Sibylle Locher 9/10 5865 days 1%
David D S 6/10 5865 days 1%
Kazmeister 8/10 5887 days 1%
Tracy & Peter Cassidy 1/10 5896 days 0%
katesh 9/10 6056 days 1%
BVanW 5/10 6093 days 1%
desl 10/10 6101 days 1%
Katy1 9/10 6103 days 1%
Colin Heath 2/10 6119 days 0%
Marina 5/10 6143 days 1%
Nick 9/10 6144 days 1%
Joosten 5/10 6147 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 Wellington TOP 10 Holiday Park experience has plenty of reviews and does not meet the criteria for any adjustment.

Recent Reviews Adjustment

-2.05% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 42 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 101 days. Adjustments are according to the following table.

Days Adjustment
98 -1.99%
99 -2.01%
100 -2.03%
101 -2.05%
102 -2.07%
103 -2.09%
104 -2.11%

Balancing Adjustment

2.84% 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.