Ranking Score Explained

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 North South 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

North South Holiday Park

Valid Reviews

59 Valid Reviews

The North South Holiday Park experience has a total of 60 reviews. There are 59 valid reviews that are included when calculating the ranking score and 1 invalid review 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 59 valid reviews:

Rating Count Percentage
10/10 7
12%
9/10 9
15%
8/10 14
24%
7/10 14
24%
6/10 5
8%
5/10 6
10%
4/10 2
3%
3/10 0
0%
2/10 2
3%
1/10 0
0%

73.39% Average

The raw data average (mean) for all the North South Holiday Park valid reviews is 73.39% and is based on 59 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

6 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 59 valid reviews, the experience has 6 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 6 face-to-face reviews:

Rating Count Percentage
10/10 0
0%
9/10 0
0%
8/10 5
83%
7/10 1
17%
6/10 0
0%
5/10 0
0%
4/10 0
0%
3/10 0
0%
2/10 0
0%
1/10 0
0%

78.33% Average

The raw data average (mean) for all the North South Holiday Park face-to-face reviews is 78.33% and is based on 6 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.

Weighted Average

64.26%

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
Susan Melgaard Rasmussen 6/10 38 days 93%
Marco from Netherlands 6/10 69 days 93%
cirefice bernard 4/10 100 days 70%
Richard Howell 7/10 130 days 100%
Hannah 6/10 465 days 82%
DC 5/10 769 days 55%
Nicky 8/10 892 days 58%
Kath 5/10 1075 days 30%
Russell 10/10 1134 days 35%
Anna Tatje 7/10 1165 days 30%
Karthik 7/10 1805 days 5%
Julianne McKie 9/10 2353 days 4%
Andrew Hammond 7/10 2383 days 3%
Renee 7/10 2536 days 3%
Wouter 7/10 2657 days 3%
Mike Fricker 8/10 2687 days 3%
Maccherone 8/10 2718 days 3%
Tati Moron 8/10 2905 days 2%
S Weslake 5/10 2932 days 2%
Christian Oerlemans 4/10 2937 days 1%
laurence airey 9/10 3022 days 2%
Mellisa Marcellus 9/10 3030 days 2%
Phil and Mel Rowson 10/10 3050 days 2%
Gary Prescot 5/10 3085 days 2%
Craig Wilcock 9/10 3267 days 2%
Rode Stella 10/10 3313 days 2%
Nicola Barlow 8/10 3382 days 2%
S Webb 10/10 3389 days 2%
Darren Bolton 10/10 3406 days 2%
Ivan Wee 6/10 3407 days 1%
Sheryl Hicks 9/10 3429 days 1%
Monika 8/10 3431 days 1%
Helen Keck 8/10 3514 days 1%
Peter Barker 10/10 3642 days 1%
Katharina Herzog 2/10 3649 days 0%
Goldfinger 2/10 3662 days 0%
Bianca Biehl 7/10 3698 days 1%
Venita Damm 9/10 3719 days 1%
Alex Macdonald 7/10 3722 days 1%
Helen B 6/10 3745 days 1%
Ann Bogelund 5/10 3794 days 0%
Jessie Karsif 9/10 3926 days 0%
Yvonne Wu 7/10 3967 days 0%
Matt Betts 7/10 3972 days 0%
Tomáš Bžatek 5/10 4002 days 0%
Julia 8/10 4028 days 0%
Jan Rüegg 7/10 4118 days 0%
Carina Borho 8/10 4427 days 0%
Markus Spitzmueller 7/10 4428 days 0%
Mette, Bo, Viktor & Olivia Seligmann 7/10 4727 days 0%
Mycall 9/10 4727 days 1%
Doug Digstravel 8/10 4817 days 1%
Lis Bon 8/10 4817 days 1%
phudgb 7/10 4878 days 0%
Chris 10/10 4909 days 1%
dierikx 9/10 5152 days 1%
hendrik king 8/10 5183 days 1%
Bette Eh 8/10 5478 days 0%
Mrs Russon 8/10 5879 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 North South Holiday Park experience has plenty of reviews and does not meet the criteria for any adjustment.

Recent Reviews Adjustment

-0.44% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 57 days. However the North South 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 North South Holiday Park experience has been adjusted for 22 days. Adjustments are according to the following table.

Days Adjustment
19 -0.38%
20 -0.40%
21 -0.42%
22 -0.44%
23 -0.46%
24 -0.48%
25 -0.50%

Balancing Adjustment

11.06% 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

75%

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.