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 Orange Sheep.

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

Orange Sheep

Valid Reviews

102 Valid Reviews

The Orange Sheep experience has a total of 111 reviews. There are 102 valid reviews that are included when calculating the ranking score and 9 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.

Within these 102 valid reviews, the experience has 1 face-to-face review collected during interviews by our team.

Below is the distribution of ratings for the 102 valid reviews:

Rating Count Percentage
10/10 29
28%
9/10 23
23%
8/10 12
12%
7/10 15
15%
6/10 5
5%
5/10 8
8%
4/10 2
2%
3/10 3
3%
2/10 1
1%
1/10 4
4%

77.55% Average

The raw data average (mean) for all the Orange Sheep valid reviews is 77.55% and is based on 102 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.

Weighted Average

85.10%

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
Dhanu 7/10 30 days 93%
Xavier 8/10 30 days 98%
Fredrik 10/10 30 days 100%
Dora 10/10 30 days 100%
Ellen 10/10 61 days 100%
Sinead 9/10 61 days 99%
Emily 8/10 61 days 98%
Elena Martin 9/10 61 days 99%
Barry 5/10 91 days 76%
Ellie 9/10 122 days 98%
Laura 9/10 152 days 98%
Unhappy camper 5/10 305 days 72%
Leonie 9/10 336 days 93%
Nigel Rawlings 6/10 365 days 79%
Steph 10/10 396 days 91%
Reb 3/10 396 days 49%
Jane 10/10 396 days 91%
Sina Goetzfried 10/10 427 days 90%
Sophie Moore - Tauranga New Zealand 10/10 457 days 88%
Larissa 7/10 457 days 82%
Victoria 6/10 488 days 74%
Ayla 10/10 488 days 86%
Cholly 9/10 488 days 85%
Nita 9/10 518 days 84%
Dylan 7/10 549 days 77%
Rambo23 10/10 641 days 76%
Donna 10/10 641 days 76%
Taylor Russell 8/10 641 days 75%
Whitney 9/10 671 days 73%
Charlie 10/10 671 days 74%
Travel 1/10 702 days 28%
Katie Edser 8/10 702 days 70%
Emmy 10/10 702 days 72%
Giovanna Sedglach 10/10 702 days 72%
E&P 7/10 730 days 64%
Vish 8/10 761 days 65%
Stacey & Mike 9/10 761 days 66%
Kendra 10/10 792 days 64%
Hanna 6/10 792 days 55%
Sophie 10/10 792 days 64%
Janice 9/10 792 days 63%
Didde 9/10 792 days 63%
Mckenzie Galbraith 8/10 792 days 63%
Becky 10/10 822 days 61%
Caolan Harvey 6/10 822 days 52%
Mil 9/10 822 days 60%
BelgianHobbit 10/10 822 days 61%
Liz 10/10 975 days 46%
Hannah 5/10 1036 days 30%
James 8/10 1067 days 36%
Annelies Geerts 10/10 1067 days 37%
Brigit Pratt 7/10 1095 days 32%
Maddi 10/10 1126 days 32%
Erna 7/10 1218 days 23%
Ryan 10/10 1340 days 17%
Thomas neil 9/10 1432 days 13%
Laura 5/10 1460 days 9%
Kirsty B 10/10 1460 days 12%
Amber 9/10 1460 days 11%
Alydia 9/10 1460 days 11%
Dan 9/10 1552 days 8%
Abi 7/10 1583 days 7%
Justine 9/10 1613 days 6%
Justine 10/10 1705 days 5%
Sven Huber 6/10 1797 days 3%
John Heather 10/10 1797 days 4%
Grant 3/10 1797 days 2%
Thangs 8/10 1797 days 4%
Aggie 10/10 1826 days 4%
Jason Furness 10/10 1826 days 4%
Sophie Winter 10/10 1826 days 4%
Howie 7/10 1826 days 4%
Amanda 7/10 1857 days 4%
Noreen 7/10 1857 days 4%
Sabine 9/10 1857 days 4%
Fran 4/10 1888 days 2%
Lucie 10/10 1918 days 4%
Sarah 9/10 1949 days 4%
Libby 8/10 1949 days 4%
JirkaR 8/10 2163 days 3%
Clara 9/10 2163 days 3%
Travelgirl 8/10 2191 days 3%
Joe 7/10 2222 days 3%
Enjoy 9/10 2222 days 3%
Bart 1/10 2222 days 1%
Maureen Barlow 2/10 2514 days 1%
Laura Clay 8/10 2528 days 2%
Leong Mee Yee 5/10 2589 days 2%
Roberto Pascucci 4/10 2589 days 1%
Karen Scott 5/10 2626 days 2%
Chris Nugent 7/10 2823 days 2%
Chanelle Weller 5/10 2851 days 1%
Lynda Mauro 1/10 2951 days 0%
Sally Roach 1/10 2952 days 0%
Ina and Max 7/10 2965 days 0%
Becky and James 3/10 3053 days 0%
Erin Stafferton 5/10 3142 days 1%
Crystal Ritchie 9/10 3188 days 1%
Russell Opland 9/10 3206 days 1%
Heng Sing Teh 7/10 3232 days 1%
Helena Bond 7/10 3263 days 1%
Tony Geary 10/10 3269 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 Orange Sheep experience has plenty of reviews and does not meet the criteria for any adjustment.

Recent Reviews Adjustment

-0.08% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 49 days. However the Orange Sheep 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 Orange Sheep experience has been adjusted for 4 days. Adjustments are according to the following table.

Days Adjustment
1 -0.02%
2 -0.04%
3 -0.06%
4 -0.08%
5 -0.10%
6 -0.12%
7 -0.14%

Balancing Adjustment

1.82% 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

87%

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.