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

121 Valid Reviews

The Orange Sheep experience has a total of 131 reviews. There are 121 valid reviews that are included when calculating the ranking score and 10 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 121 valid reviews, the experience has 1 face-to-face review collected during interviews by our team.

Below is the distribution of ratings for the 121 valid reviews:

Rating Count Percentage
10/10 35
29%
9/10 28
23%
8/10 15
12%
7/10 16
13%
6/10 6
5%
5/10 9
7%
4/10 2
2%
3/10 4
3%
2/10 1
1%
1/10 5
4%

77.85% Average

The raw data average (mean) for all the Orange Sheep valid reviews is 77.85% and is based on 121 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

84.37%

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
Jan 8/10 87 days 99%
Westysdownunder 9/10 87 days 100%
Martin 9/10 146 days 99%
Mireille & Philippe 7/10 177 days 93%
Sol 10/10 177 days 100%
Matt Minter 1/10 177 days 40%
Richard Bennett 9/10 207 days 98%
Mark Jenkison 5/10 207 days 75%
Hugo ELIE 10/10 238 days 98%
Chelsea 🌸 10/10 238 days 98%
Bella 10/10 238 days 98%
Rory M 8/10 238 days 96%
Eline 8/10 421 days 89%
Cassie 10/10 421 days 91%
Nick 6/10 452 days 77%
Lucy 9/10 452 days 89%
Viktoria 9/10 452 days 89%
Arlene 10/10 480 days 88%
Alan 3/10 480 days 48%
Dhanu 7/10 511 days 80%
Xavier 8/10 511 days 85%
Fredrik 10/10 511 days 86%
Dora 10/10 511 days 86%
Ellen 10/10 542 days 84%
Sinead 9/10 542 days 83%
Emily 8/10 542 days 83%
Elena Martin 9/10 542 days 83%
Barry 5/10 572 days 63%
Ellie 9/10 603 days 79%
Laura 9/10 632 days 77%
Unhappy camper 5/10 786 days 50%
Leonie 9/10 817 days 62%
Nigel Rawlings 6/10 846 days 51%
Steph 10/10 877 days 57%
Reb 3/10 877 days 30%
Jane 10/10 877 days 57%
Sina Goetzfried 10/10 908 days 53%
Sophie Moore - Tauranga New Zealand 10/10 938 days 50%
Larissa 7/10 938 days 47%
Victoria 6/10 969 days 40%
Ayla 10/10 969 days 47%
Cholly 9/10 969 days 47%
Nita 9/10 998 days 44%
Dylan 7/10 1029 days 38%
Rambo23 10/10 1121 days 33%
Donna 10/10 1121 days 33%
Taylor Russell 8/10 1121 days 33%
Whitney 9/10 1152 days 30%
Charlie 10/10 1152 days 31%
Travel 1/10 1183 days 11%
Katie Edser 8/10 1183 days 28%
Emmy 10/10 1183 days 28%
Giovanna Sedglach 10/10 1183 days 28%
E&P 7/10 1211 days 24%
Vish 8/10 1242 days 24%
Stacey & Mike 9/10 1242 days 24%
Kendra 10/10 1273 days 22%
Hanna 6/10 1273 days 19%
Sophie 10/10 1273 days 22%
Janice 9/10 1273 days 22%
Didde 9/10 1273 days 22%
Mckenzie Galbraith 8/10 1273 days 22%
Becky 10/10 1303 days 20%
Caolan Harvey 6/10 1303 days 17%
Mil 9/10 1303 days 20%
BelgianHobbit 10/10 1303 days 20%
Liz 10/10 1455 days 12%
Hannah 5/10 1517 days 7%
James 8/10 1548 days 9%
Annelies Geerts 10/10 1548 days 9%
Brigit Pratt 7/10 1576 days 7%
Maddi 10/10 1607 days 7%
Erna 7/10 1699 days 5%
Ryan 10/10 1820 days 4%
Thomas neil 9/10 1913 days 4%
Laura 5/10 1941 days 3%
Kirsty B 10/10 1941 days 4%
Amber 9/10 1941 days 4%
Alydia 9/10 1941 days 4%
Dan 9/10 2033 days 4%
Abi 7/10 2064 days 4%
Justine 9/10 2093 days 4%
Justine 10/10 2185 days 4%
Sven Huber 6/10 2278 days 3%
John Heather 10/10 2278 days 3%
Grant 3/10 2278 days 2%
Thangs 8/10 2278 days 3%
Aggie 10/10 2307 days 3%
Jason Furness 10/10 2307 days 3%
Sophie Winter 10/10 2307 days 3%
Howie 7/10 2307 days 3%
Amanda 7/10 2338 days 3%
Noreen 7/10 2338 days 3%
Sabine 9/10 2338 days 3%
Fran 4/10 2369 days 2%
Lucie 10/10 2399 days 3%
Sarah 9/10 2430 days 3%
Libby 8/10 2430 days 3%
JirkaR 8/10 2644 days 3%
Clara 9/10 2644 days 3%
Travelgirl 8/10 2672 days 3%
Joe 7/10 2703 days 2%
Enjoy 9/10 2703 days 3%
Bart 1/10 2703 days 1%
Maureen Barlow 2/10 2995 days 0%
Laura Clay 8/10 3009 days 2%
Leong Mee Yee 5/10 3070 days 1%
Roberto Pascucci 4/10 3070 days 1%
Karen Scott 5/10 3107 days 1%
Chris Nugent 7/10 3303 days 1%
Chanelle Weller 5/10 3331 days 1%
Lynda Mauro 1/10 3432 days 0%
Sally Roach 1/10 3433 days 0%
Ina and Max 7/10 3446 days 0%
Becky and James 3/10 3533 days 0%
Erin Stafferton 5/10 3622 days 0%
Crystal Ritchie 9/10 3668 days 1%
Russell Opland 9/10 3686 days 1%
Heng Sing Teh 7/10 3713 days 0%
Helena Bond 7/10 3744 days 0%
Tony Geary 10/10 3750 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 Orange Sheep experience has plenty of reviews and does not meet the criteria for any adjustment.

Recent Reviews Adjustment

-0.84% Adjustment

There may be an adjustment if this experience hasn't received any reviews within the last 101 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 65 days. Adjustments are according to the following table.

Days Adjustment
62 -0.80%
63 -0.81%
64 -0.82%
65 -0.84%
66 -0.85%
67 -0.86%
68 -0.87%

Balancing Adjustment

2.13% 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

86%

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.