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.
Orange Sheep
Valid Reviews
122 Valid Reviews
The Orange Sheep experience has a total of 132 reviews. There are 122 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 122 valid reviews, the experience has 1 face-to-face review collected during interviews by our team.
Below is the distribution of ratings for the 122 valid reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 36 |
|
30% |
| 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% |
78.03% Average
The raw data average (mean) for all the Orange Sheep valid reviews is 78.03% and is based on 122 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
84.75%
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 |
|---|---|---|---|
| Daniel Gleeson. | 10/10 | 50 days | 100% |
| Jan | 8/10 | 111 days | 97% |
| Westysdownunder | 9/10 | 111 days | 98% |
| Martin | 9/10 | 170 days | 97% |
| Mireille & Philippe | 7/10 | 201 days | 91% |
| Sol | 10/10 | 201 days | 98% |
| Matt Minter | 1/10 | 201 days | 39% |
| Richard Bennett | 9/10 | 231 days | 96% |
| Mark Jenkison | 5/10 | 231 days | 74% |
| Hugo ELIE | 10/10 | 262 days | 96% |
| Chelsea 🌸 | 10/10 | 262 days | 96% |
| Bella | 10/10 | 262 days | 96% |
| Rory M | 8/10 | 262 days | 94% |
| Eline | 8/10 | 445 days | 87% |
| Cassie | 10/10 | 445 days | 89% |
| Nick | 6/10 | 476 days | 75% |
| Lucy | 9/10 | 476 days | 86% |
| Viktoria | 9/10 | 476 days | 86% |
| Arlene | 10/10 | 504 days | 86% |
| Alan | 3/10 | 504 days | 46% |
| Dhanu | 7/10 | 535 days | 78% |
| Xavier | 8/10 | 535 days | 82% |
| Fredrik | 10/10 | 535 days | 84% |
| Dora | 10/10 | 535 days | 84% |
| Ellen | 10/10 | 566 days | 82% |
| Sinead | 9/10 | 566 days | 81% |
| Emily | 8/10 | 566 days | 80% |
| Elena Martin | 9/10 | 566 days | 81% |
| Barry | 5/10 | 596 days | 61% |
| Ellie | 9/10 | 627 days | 77% |
| Laura | 9/10 | 657 days | 75% |
| Unhappy camper | 5/10 | 810 days | 47% |
| Leonie | 9/10 | 841 days | 59% |
| Nigel Rawlings | 6/10 | 870 days | 49% |
| Steph | 10/10 | 901 days | 53% |
| Reb | 3/10 | 901 days | 29% |
| Jane | 10/10 | 901 days | 53% |
| Sina Goetzfried | 10/10 | 932 days | 50% |
| Sophie Moore - Tauranga New Zealand | 10/10 | 962 days | 47% |
| Larissa | 7/10 | 962 days | 44% |
| Victoria | 6/10 | 993 days | 38% |
| Ayla | 10/10 | 993 days | 44% |
| Cholly | 9/10 | 993 days | 44% |
| Nita | 9/10 | 1023 days | 41% |
| Dylan | 7/10 | 1054 days | 36% |
| Rambo23 | 10/10 | 1146 days | 31% |
| Donna | 10/10 | 1146 days | 31% |
| Taylor Russell | 8/10 | 1146 days | 30% |
| Whitney | 9/10 | 1176 days | 28% |
| Charlie | 10/10 | 1176 days | 29% |
| Travel | 1/10 | 1207 days | 10% |
| Katie Edser | 8/10 | 1207 days | 26% |
| Emmy | 10/10 | 1207 days | 26% |
| Giovanna Sedglach | 10/10 | 1207 days | 26% |
| E&P | 7/10 | 1235 days | 23% |
| Vish | 8/10 | 1266 days | 22% |
| Stacey & Mike | 9/10 | 1266 days | 22% |
| Kendra | 10/10 | 1297 days | 20% |
| Hanna | 6/10 | 1297 days | 17% |
| Sophie | 10/10 | 1297 days | 20% |
| Janice | 9/10 | 1297 days | 20% |
| Didde | 9/10 | 1297 days | 20% |
| Mckenzie Galbraith | 8/10 | 1297 days | 20% |
| Becky | 10/10 | 1327 days | 19% |
| Caolan Harvey | 6/10 | 1327 days | 16% |
| Mil | 9/10 | 1327 days | 18% |
| BelgianHobbit | 10/10 | 1327 days | 19% |
| Liz | 10/10 | 1480 days | 11% |
| Hannah | 5/10 | 1541 days | 7% |
| James | 8/10 | 1572 days | 8% |
| Annelies Geerts | 10/10 | 1572 days | 8% |
| Brigit Pratt | 7/10 | 1600 days | 7% |
| Maddi | 10/10 | 1631 days | 6% |
| Erna | 7/10 | 1723 days | 5% |
| Ryan | 10/10 | 1845 days | 4% |
| Thomas neil | 9/10 | 1937 days | 4% |
| Laura | 5/10 | 1965 days | 3% |
| Kirsty B | 10/10 | 1965 days | 4% |
| Amber | 9/10 | 1965 days | 4% |
| Alydia | 9/10 | 1965 days | 4% |
| Dan | 9/10 | 2057 days | 4% |
| Abi | 7/10 | 2088 days | 3% |
| Justine | 9/10 | 2118 days | 4% |
| Justine | 10/10 | 2210 days | 4% |
| Sven Huber | 6/10 | 2302 days | 3% |
| John Heather | 10/10 | 2302 days | 3% |
| Grant | 3/10 | 2302 days | 1% |
| Thangs | 8/10 | 2302 days | 3% |
| Aggie | 10/10 | 2331 days | 3% |
| Jason Furness | 10/10 | 2331 days | 3% |
| Sophie Winter | 10/10 | 2331 days | 3% |
| Howie | 7/10 | 2331 days | 3% |
| Amanda | 7/10 | 2362 days | 3% |
| Noreen | 7/10 | 2362 days | 3% |
| Sabine | 9/10 | 2362 days | 3% |
| Fran | 4/10 | 2393 days | 2% |
| Lucie | 10/10 | 2423 days | 3% |
| Sarah | 9/10 | 2454 days | 3% |
| Libby | 8/10 | 2454 days | 3% |
| JirkaR | 8/10 | 2668 days | 3% |
| Clara | 9/10 | 2668 days | 3% |
| Travelgirl | 8/10 | 2696 days | 3% |
| Joe | 7/10 | 2727 days | 2% |
| Enjoy | 9/10 | 2727 days | 2% |
| Bart | 1/10 | 2727 days | 1% |
| Maureen Barlow | 2/10 | 3019 days | 0% |
| Laura Clay | 8/10 | 3033 days | 2% |
| Leong Mee Yee | 5/10 | 3094 days | 1% |
| Roberto Pascucci | 4/10 | 3094 days | 1% |
| Karen Scott | 5/10 | 3131 days | 1% |
| Chris Nugent | 7/10 | 3328 days | 1% |
| Chanelle Weller | 5/10 | 3356 days | 1% |
| Lynda Mauro | 1/10 | 3457 days | 0% |
| Sally Roach | 1/10 | 3457 days | 0% |
| Ina and Max | 7/10 | 3470 days | 0% |
| Becky and James | 3/10 | 3558 days | 0% |
| Erin Stafferton | 5/10 | 3647 days | 0% |
| Crystal Ritchie | 9/10 | 3693 days | 1% |
| Russell Opland | 9/10 | 3711 days | 1% |
| Heng Sing Teh | 7/10 | 3737 days | 0% |
| Helena Bond | 7/10 | 3768 days | 0% |
| Tony Geary | 10/10 | 3774 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
-0.25% Adjustment
There may be an adjustment if this experience hasn't received any reviews within the last 118 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 23 days. Adjustments are according to the following table.
| Days | Adjustment |
|---|---|
| … | … |
| 20 | -0.22% |
| 21 | -0.23% |
| 22 | -0.24% |
| 23 | -0.25% |
| 24 | -0.26% |
| 25 | -0.27% |
| 26 | -0.28% |
| … | … |
Balancing Adjustment
1.92% 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.