Ranking Score Explained

Hey, 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

82.63%

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 6/10 137 days 87%
Jonas Ng 10/10 199 days 100%
Morgane 8/10 380 days 92%
Le 10/10 441 days 91%
Bevjean 10/10 472 days 89%
Aragorn 9/10 625 days 79%
Maud Jabouley 10/10 625 days 80%
Terry 9/10 746 days 69%
Katy 5/10 746 days 53%
Tzan from CA 6/10 930 days 45%
Fletch 10/10 1080 days 37%
Linda 9/10 1080 days 37%
Amy Shoemake 8/10 1142 days 32%
Erin Cheng 4/10 1142 days 21%
Lucas 8/10 1172 days 29%
Sarah 10/10 1203 days 28%
James 8/10 1507 days 11%
charles 1/10 1782 days 2%
Leigh Billing 1/10 1841 days 2%
K1W1jax 2/10 2055 days 2%
Lyn McIvor 9/10 2147 days 4%
Maria 1/10 2147 days 2%
Liz Wade 8/10 2175 days 4%
Ian & Wendy 1/10 2176 days 2%
Moritz 8/10 2207 days 4%
Christoph 5/10 2207 days 3%
Mrs Lounis 8/10 2238 days 4%
Ryan 8/10 2268 days 4%
Kate 8/10 2452 days 4%
Clare & Gerry 10/10 2513 days 4%
Jgcanada 10/10 2541 days 4%
Leanne 8/10 2541 days 4%
Nadja Kampfhenkel 7/10 2572 days 3%
helen reeve 9/10 2664 days 3%
Boguslaw MAKIELLO 2/10 2861 days 1%
Shira LA 7/10 2906 days 3%
Helen Rimmer 10/10 2918 days 3%
Marine Fauquenot 6/10 2922 days 2%
Lene Hendel 6/10 2923 days 2%
Debbie Lesurf 9/10 2975 days 3%
Carl von Horstig 6/10 3007 days 2%
Jasmine Andrew 9/10 3013 days 3%
Lei Horton 9/10 3099 days 3%
Paul Batty 7/10 3114 days 2%
Roger Foley 1/10 3211 days 1%
Mailhos Cécile 7/10 3246 days 2%
Paula Barclay 3/10 3257 days 1%
Charlie Vaughan 6/10 3259 days 2%
Greg Parkes 7/10 3275 days 2%
Rebecca Lindsey 7/10 3301 days 2%
Gaurav Bhutani 5/10 3302 days 2%
ben carroll 4/10 3393 days 1%
Peter Barker 8/10 3587 days 2%
Christina Wakolbinger 1/10 3613 days 1%
Staffan Johansson 9/10 3619 days 1%
Nina 3/10 3668 days 1%
Ron Web 7/10 3729 days 1%
Will Waine 9/10 3820 days 1%
Elka Keijzer 5/10 3912 days 1%
holidaymad from Solihull 8/10 4032 days 1%
Mike Fricker 8/10 4308 days 0%
Helma Druyken 6/10 4337 days 0%
MARK PALMER 2/10 4339 days 0%
Eva-Maria Krueger 7/10 4339 days 0%
Janina Zwerver 5/10 4341 days 0%
Chris 10/10 4398 days 1%
Elin Andersson 8/10 4398 days 1%
Elin Paulssen 9/10 4398 days 1%
Xan Northman 7/10 4398 days 1%
W & K Boyd 2/10 4520 days 0%
Ton Martens 3/10 4695 days 1%
Michael Nolan 8/10 4704 days 1%
Schuster 4/10 4717 days 1%
Andrew Pearce 9/10 4763 days 1%
Hanneke P 7/10 4763 days 1%
Tony Hines 9/10 4780 days 1%
Peter 8/10 4787 days 1%
Anne and John 6/10 4793 days 1%
Terry Coles 9/10 4794 days 1%
Marian 5/10 4796 days 1%
Adam Hassan 6/10 4799 days 1%
Henzen 7/10 4803 days 1%
Julia Ramseier 10/10 4806 days 1%
Lisa Blake 5/10 4810 days 1%
Verest 9/10 4810 days 1%
Megan Child 9/10 4811 days 1%
Peter Kent 10/10 5056 days 1%
Michael Touzer 5/10 5064 days 1%
Frank Claassen 8/10 5065 days 1%
Michael Jefferies 9/10 5072 days 1%
D van Dongen 7/10 5073 days 1%
Manuela 6/10 5074 days 1%
Lotte Zwail 7/10 5078 days 1%
Frans Roebroek 9/10 5080 days 1%
Patricia Fearon 7/10 5081 days 1%
Merlyn 6/10 5082 days 1%
Ozgla 1/10 5082 days 0%
Gillian MacLaren 5/10 5083 days 1%
Dave Simpson 9/10 5083 days 1%
Lepied 5/10 5085 days 1%
Beyeler 10/10 5086 days 1%
Graham Swinyard 8/10 5092 days 1%
Maria Dietrich 8/10 5093 days 1%
Hans Erik Munch 6/10 5096 days 1%
Margaret Wendell 7/10 5096 days 1%
Sebastian 8/10 5096 days 1%
Steve Collier 4/10 5097 days 1%
Marie Frank 10/10 5098 days 1%
Sandy & Michaela 10/10 5111 days 1%
Graham 7/10 5129 days 1%
ZephyrTL 2/10 5129 days 0%
hendrik king 1/10 5129 days 0%
Niels Daubjerg 10/10 5161 days 1%
Robert Carswell 9/10 5166 days 1%
Steve Eley 1/10 5169 days 0%
Jan & Marian 6/10 5172 days 1%
Rudlinger 4/10 5177 days 1%
Verhahr 5/10 5180 days 1%
Gary A 9/10 5190 days 1%
damaca 2/10 5251 days 0%
Dave van Bergen 8/10 5399 days 1%
Ralph & Marloes Meyers 8/10 5403 days 1%
Philip Gierke 8/10 5409 days 1%
Adi Leheucel 4/10 5416 days 1%
Oliver Berg 5/10 5418 days 1%
Karsten Tannhauser 8/10 5418 days 1%
Dave Jones 7/10 5419 days 1%
Rens Hemselmans 6/10 5421 days 1%
Michael Simmang 8/10 5423 days 1%
Michael Howat 7/10 5425 days 1%
Nicola Shaw 8/10 5428 days 1%
Katy Bourne 5/10 5429 days 1%
Kathleen Brown 4/10 5433 days 1%
Melanie Gruber 8/10 5436 days 1%
Diete Rokosch 9/10 5436 days 1%
Anne 5/10 5437 days 1%
Colin Lockwood 7/10 5438 days 1%
Annelie & Martin 8/10 5439 days 1%
Anita Aleva 6/10 5447 days 1%
Haan Begerian 5/10 5449 days 1%
Kurt 7/10 5450 days 1%
Annie Pennington 10/10 5450 days 1%
Pat MacDonald 7/10 5450 days 1%
David 6/10 5453 days 1%
Marianne Astorp 6/10 5454 days 1%
Rossiter 5/10 5456 days 1%
D Oostrum 9/10 5458 days 1%
Iain Sutherland 8/10 5458 days 1%
Meg & Steve 6/10 5733 days 1%
uceil 4/10 5748 days 1%
Andy & Louise Dutton 10/10 5787 days 1%
Richard Spore 8/10 5787 days 1%
Pam Know 6/10 5795 days 1%
Tony Killingray 3/10 5803 days 1%
Chris Jones 2/10 5806 days 0%
Pierre Pilon 9/10 5808 days 1%
Denecke Thorsten 4/10 5809 days 1%
Roger Trusedale 3/10 5810 days 1%
Bunnik 9/10 5813 days 1%
Marc Hoehstra 8/10 5814 days 1%
Alan Howe 6/10 5820 days 1%
Helen Power 9/10 5823 days 1%
Bryan Keddie 3/10 5824 days 1%
joe Reibli 10/10 5825 days 1%
Hoogh 9/10 5825 days 1%
Pizzanelli 5/10 5827 days 1%
Jeannot Robert 10/10 5838 days 1%
Douglas Kirby 6/10 5841 days 1%
Gerry Donoghue 7/10 5842 days 1%
Colin Morbey 8/10 5842 days 1%
Bartlett nz 7/10 5845 days 1%
biene 2/10 5874 days 0%
annett 2/10 5875 days 0%
willemrn 4/10 5875 days 1%
mariak 3/10 5876 days 1%
nadinef 7/10 5882 days 1%
hofstetterf 9/10 5888 days 1%
katepat 8/10 5890 days 1%
carolineder 5/10 5890 days 1%
Anne Ford 9/10 5892 days 1%
Antje & Sascha Häusler 5/10 5894 days 1%
Chris Mackamul 10/10 5897 days 1%
Sibylle Locher 9/10 5898 days 1%
David D S 6/10 5898 days 1%
Kazmeister 8/10 5920 days 1%
Tracy & Peter Cassidy 1/10 5929 days 0%
katesh 9/10 6089 days 1%
BVanW 5/10 6126 days 1%
desl 10/10 6134 days 1%
Katy1 9/10 6136 days 1%
Colin Heath 2/10 6152 days 0%
Marina 5/10 6176 days 1%
Nick 9/10 6177 days 1%
Joosten 5/10 6180 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

-2.72% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 46 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 133 days. Adjustments are according to the following table.

Days Adjustment
130 -2.65%
131 -2.68%
132 -2.70%
133 -2.72%
134 -2.74%
135 -2.76%
136 -2.78%

Balancing Adjustment

3.02% 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.