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 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

96 Valid Reviews

The Orange Sheep experience has a total of 105 reviews. There are 96 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 96 valid reviews, the experience has 1 face-to-face review collected during interviews by our team.

Below is the distribution of ratings for the 96 valid reviews:

Rating Count Percentage
10/10 27
28%
9/10 22
23%
8/10 10
10%
7/10 14
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%

76.98% Average

The raw data average (mean) for all the Orange Sheep valid reviews is 76.98% and is based on 96 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

84.82%

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
Ellen 10/10 18 days 100%
Sinead 9/10 18 days 99%
Barry 5/10 48 days 76%
Ellie 9/10 79 days 99%
Laura 9/10 109 days 98%
Unhappy camper 5/10 262 days 73%
Leonie 9/10 293 days 94%
Nigel Rawlings 6/10 322 days 81%
Steph 10/10 353 days 93%
Reb 3/10 353 days 50%
Jane 10/10 353 days 93%
Sina Goetzfried 10/10 384 days 92%
Sophie Moore - Tauranga New Zealand 10/10 414 days 90%
Larissa 7/10 414 days 84%
Victoria 6/10 445 days 76%
Ayla 10/10 445 days 89%
Cholly 9/10 445 days 88%
Nita 9/10 475 days 86%
Dylan 7/10 506 days 79%
Rambo23 10/10 598 days 79%
Donna 10/10 598 days 79%
Taylor Russell 8/10 598 days 78%
Whitney 9/10 628 days 76%
Charlie 10/10 628 days 77%
Travel 1/10 659 days 30%
Katie Edser 8/10 659 days 73%
Emmy 10/10 659 days 75%
Giovanna Sedglach 10/10 659 days 75%
E&P 7/10 687 days 68%
Vish 8/10 718 days 69%
Stacey & Mike 9/10 718 days 70%
Kendra 10/10 749 days 68%
Hanna 6/10 749 days 58%
Sophie 10/10 749 days 68%
Janice 9/10 749 days 67%
Didde 9/10 749 days 67%
Mckenzie Galbraith 8/10 749 days 66%
Becky 10/10 779 days 65%
Caolan Harvey 6/10 779 days 56%
Mil 9/10 779 days 64%
BelgianHobbit 10/10 779 days 65%
Liz 10/10 932 days 50%
Hannah 5/10 993 days 33%
James 8/10 1024 days 40%
Annelies Geerts 10/10 1024 days 41%
Brigit Pratt 7/10 1052 days 36%
Maddi 10/10 1083 days 36%
Erna 7/10 1175 days 26%
Ryan 10/10 1297 days 20%
Thomas neil 9/10 1389 days 15%
Laura 5/10 1417 days 10%
Kirsty B 10/10 1417 days 13%
Amber 9/10 1417 days 13%
Alydia 9/10 1417 days 13%
Dan 9/10 1509 days 10%
Abi 7/10 1540 days 8%
Justine 9/10 1570 days 8%
Justine 10/10 1662 days 5%
Sven Huber 6/10 1754 days 3%
John Heather 10/10 1754 days 4%
Grant 3/10 1754 days 2%
Thangs 8/10 1754 days 4%
Aggie 10/10 1783 days 4%
Jason Furness 10/10 1783 days 4%
Sophie Winter 10/10 1783 days 4%
Howie 7/10 1783 days 4%
Amanda 7/10 1814 days 4%
Noreen 7/10 1814 days 4%
Sabine 9/10 1814 days 4%
Fran 4/10 1845 days 2%
Lucie 10/10 1875 days 4%
Sarah 9/10 1906 days 4%
Libby 8/10 1906 days 4%
JirkaR 8/10 2120 days 3%
Clara 9/10 2120 days 3%
Travelgirl 8/10 2148 days 3%
Joe 7/10 2179 days 3%
Enjoy 9/10 2179 days 3%
Bart 1/10 2179 days 1%
Maureen Barlow 2/10 2471 days 1%
Laura Clay 8/10 2485 days 2%
Leong Mee Yee 5/10 2546 days 2%
Roberto Pascucci 4/10 2546 days 1%
Karen Scott 5/10 2583 days 2%
Chris Nugent 7/10 2780 days 2%
Chanelle Weller 5/10 2808 days 1%
Lynda Mauro 1/10 2908 days 0%
Sally Roach 1/10 2909 days 0%
Ina and Max 7/10 2922 days 0%
Becky and James 3/10 3010 days 0%
Erin Stafferton 5/10 3099 days 1%
Crystal Ritchie 9/10 3145 days 1%
Russell Opland 9/10 3163 days 1%
Heng Sing Teh 7/10 3189 days 1%
Helena Bond 7/10 3220 days 1%
Tony Geary 10/10 3226 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

-0.12% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 41 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 6 days. Adjustments are according to the following table.

Days Adjustment
3 -0.06%
4 -0.08%
5 -0.10%
6 -0.12%
7 -0.14%
8 -0.16%
9 -0.18%

Balancing Adjustment

1.88% 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.