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 Buried Village.

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

Buried Village

Valid Reviews

61 Valid Reviews

The Buried Village experience has a total of 63 reviews. There are 61 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 61 valid reviews:

Rating Count Percentage
10/10 5
8%
9/10 7
11%
8/10 12
20%
7/10 16
26%
6/10 6
10%
5/10 6
10%
4/10 1
2%
3/10 5
8%
2/10 2
3%
1/10 1
2%

67.38% Average

The raw data average (mean) for all the Buried Village valid reviews is 67.38% and is based on 61 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

56 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 61 valid reviews, the experience has 56 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 56 face-to-face reviews:

Rating Count Percentage
10/10 4
7%
9/10 6
11%
8/10 11
20%
7/10 15
27%
6/10 5
9%
5/10 6
11%
4/10 1
2%
3/10 5
9%
2/10 2
4%
1/10 1
2%

66.25% Average

The raw data average (mean) for all the Buried Village face-to-face reviews is 66.25% and is based on 56 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.

Weighted Average

73.92%

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
Anders Knutsson 10/10 2151 days 100%
Frank Bien 9/10 2912 days 65%
Alison Egan-Jones 9/10 2942 days 64%
Frank 3/10 3216 days 28%
Bert Pubeg 6/10 4038 days 13%
Lydia Holleman 6/10 4364 days 0%
Jan Sjoerdtje 6/10 4364 days 0%
Roshnie 8/10 4383 days 22%
Denise & Maciej Holzer 3/10 4652 days 12%
Schael 3/10 4652 days 12%
Langerak 8/10 4664 days 22%
Ellen Jacobs 6/10 4675 days 19%
Cornelis 8/10 4753 days 22%
Bart Goovaerts 3/10 4755 days 12%
Matthys van den Heuuel 5/10 4759 days 17%
Kris Gijbels 7/10 4992 days 21%
Monica 1/10 5010 days 9%
Omar Candon 8/10 5015 days 22%
Sanne 7/10 5018 days 21%
Schunanu 7/10 5028 days 21%
Marianne Astorp 9/10 5033 days 22%
Florian 5/10 5035 days 17%
allesca 7/10 5165 days 21%
Tim 8/10 5386 days 22%
Valerie Van Hemelrijck 7/10 5402 days 21%
Mike Kirchner 2/10 5403 days 10%
Bram-Jan M 7/10 5406 days 21%
Bo Moenstead 7/10 5416 days 21%
Beute Jacob 6/10 5420 days 19%
Holliger 5/10 5424 days 17%
anniest 9/10 5473 days 22%
Antje & Sascha Häusler 3/10 5473 days 12%
Richard Kesteleyn 5/10 5477 days 17%
ulrichk 10/10 5586 days 22%
LandR 10/10 5714 days 22%
LuukKarin 7/10 5715 days 21%
AnneliesK 5/10 5723 days 17%
LosItaly 7/10 5725 days 21%
Mick 8/10 5730 days 22%
HeideS 9/10 5732 days 22%
Zeeman 6/10 5733 days 19%
Anneleen 8/10 5744 days 22%
Jessica 7/10 5778 days 21%
De Kievit 5/10 5782 days 17%
Kirsten 10/10 5826 days 22%
Watermann 7/10 5831 days 21%
Liz 2/10 5853 days 10%
catzmagic 8/10 6107 days 22%
Roger and Heather Smith 10/10 6118 days 22%
Jim Curley 8/10 6125 days 22%
Tim 7/10 6153 days 21%
Gail 7/10 6159 days 21%
Jessica Callen 7/10 6315 days 21%
Woods Gary 9/10 6315 days 22%
Nancy Bill 8/10 6437 days 22%
beesom 4/10 6479 days 14%
Stefan 7/10 6487 days 21%
Gordon 8/10 6490 days 22%
Pope 9/10 6490 days 22%
Rolf 8/10 6491 days 22%
Nicole 7/10 6491 days 21%

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 Buried Village experience has plenty of reviews and does not meet the criteria for any adjustment.

Recent Reviews Adjustment

-4.05% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 43 days. However the Buried Village 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 Buried Village experience has been adjusted for 200 days. Adjustments are according to the following table.

Days Adjustment
197 -3.99%
198 -4.01%
199 -4.03%
200 -4.05%
201 -4.07%
202 -4.09%
203 -4.11%

Balancing Adjustment

7.07% 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

77%

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.