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 Shining Star Beachfront Accommodation.
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.
94 Valid Reviews
The Shining Star Beachfront Accommodation experience has a total of 96 reviews. There are 94 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 94 valid reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 31 |
|
33% |
| 9/10 | 28 |
|
30% |
| 8/10 | 17 |
|
18% |
| 7/10 | 11 |
|
12% |
| 6/10 | 3 |
|
3% |
| 5/10 | 0 |
|
0% |
| 4/10 | 2 |
|
2% |
| 3/10 | 0 |
|
0% |
| 2/10 | 1 |
|
1% |
| 1/10 | 1 |
|
1% |
85.53% Average
The raw data average (mean) for all the Shining Star Beachfront Accommodation valid reviews is 85.53% and is based on 94 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
34 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 94 valid reviews, the experience has 34 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 34 face-to-face reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 9 |
|
26% |
| 9/10 | 13 |
|
38% |
| 8/10 | 3 |
|
9% |
| 7/10 | 5 |
|
15% |
| 6/10 | 2 |
|
6% |
| 5/10 | 0 |
|
0% |
| 4/10 | 2 |
|
6% |
| 3/10 | 0 |
|
0% |
| 2/10 | 0 |
|
0% |
| 1/10 | 0 |
|
0% |
84.12% Average
The raw data average (mean) for all the Shining Star Beachfront Accommodation face-to-face reviews is 84.12% and is based on 34 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.
90.67%
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 |
|---|---|---|---|
| Bob and Lydia | 10/10 | 126 days | 100% |
| Fredrik | 9/10 | 338 days | 93% |
| Jane | 8/10 | 399 days | 90% |
| Cath | 10/10 | 430 days | 90% |
| Brian | 10/10 | 552 days | 83% |
| Kay | 9/10 | 613 days | 78% |
| Mike Fricker | 8/10 | 613 days | 78% |
| Wil | 8/10 | 765 days | 66% |
| Laura | 10/10 | 1010 days | 43% |
| Steve | 8/10 | 1010 days | 42% |
| MWON | 10/10 | 1069 days | 38% |
| Charlotte Houël | 8/10 | 1069 days | 37% |
| JD Toussaint Raven | 10/10 | 1069 days | 38% |
| Hanna | 10/10 | 1100 days | 35% |
| Kendra | 8/10 | 1100 days | 35% |
| Corrine | 10/10 | 1130 days | 33% |
| Scott Lindique | 8/10 | 1434 days | 13% |
| Wai wai | 10/10 | 1740 days | 5% |
| Jaq | 1/10 | 2105 days | 2% |
| Joel | 10/10 | 2226 days | 4% |
| Nicl | 10/10 | 2226 days | 4% |
| Lausgrott from Germany | 10/10 | 2318 days | 4% |
| Marinette Kegels | 10/10 | 2499 days | 4% |
| Australia | 2/10 | 2591 days | 1% |
| H. Shela | 9/10 | 2622 days | 3% |
| Mike Fricker | 8/10 | 2622 days | 3% |
| Melinda Pyke | 10/10 | 2652 days | 3% |
| Teb | 10/10 | 2714 days | 3% |
| Monique Keeper | 10/10 | 3008 days | 3% |
| Paul Smith | 7/10 | 3200 days | 2% |
| Erich Brueggermann | 7/10 | 3224 days | 2% |
| Tearlach | 10/10 | 3279 days | 2% |
| David Coyle | 8/10 | 3280 days | 2% |
| Sarah Groginsky | 10/10 | 3321 days | 2% |
| Tanya Davies | 9/10 | 3351 days | 2% |
| Jamie Fry | 10/10 | 3514 days | 2% |
| Matthew Hallowell | 9/10 | 3623 days | 1% |
| B McNally | 9/10 | 3628 days | 1% |
| Valerie Wee | 6/10 | 3660 days | 1% |
| Wout van Dijk | 7/10 | 3663 days | 1% |
| Jade Duncan | 7/10 | 3705 days | 1% |
| María del Carmen Escandell | 9/10 | 3754 days | 1% |
| Larry Dashiell | 10/10 | 3931 days | 1% |
| Chris Robertson | 8/10 | 3953 days | 1% |
| Stefanie Feldman | 10/10 | 3979 days | 1% |
| Lorcan Lennon | 8/10 | 4033 days | 0% |
| John K | 8/10 | 4051 days | 1% |
| SUE COLEMAN | 8/10 | 4051 days | 1% |
| techno69 | 9/10 | 4082 days | 0% |
| Fabian Rodriguez | 7/10 | 4205 days | 0% |
| Mike Fricker | 8/10 | 4266 days | 0% |
| James Betz | 9/10 | 4268 days | 0% |
| Andrea Sole | 6/10 | 4272 days | 0% |
| Sandra Frischmann | 10/10 | 4294 days | 0% |
| Laura Metz | 9/10 | 4310 days | 0% |
| Hubertus Thost | 10/10 | 4310 days | 0% |
| Julie Robinson | 7/10 | 4312 days | 0% |
| Anouck Roudet | 9/10 | 4318 days | 0% |
| Nigel & Annie Dale | 9/10 | 4417 days | 1% |
| Tony Graham | 9/10 | 4601 days | 1% |
| M Morgan | 9/10 | 4631 days | 1% |
| Sixflipflops | 7/10 | 4631 days | 1% |
| Bertiethebus | 9/10 | 4662 days | 1% |
| Andrew K | 9/10 | 4721 days | 1% |
| Abee and Suess | 10/10 | 4769 days | 1% |
| Hans Duerst | 9/10 | 5033 days | 1% |
| Nick & Adele Waller | 9/10 | 5039 days | 1% |
| Sabine & Stefan | 4/10 | 5040 days | 0% |
| Dugald McCallum | 10/10 | 5055 days | 1% |
| polzeath | 9/10 | 5056 days | 1% |
| Melanie Wood | 6/10 | 5134 days | 1% |
| Weez18 | 8/10 | 5362 days | 1% |
| Sarah and Uli Glas | 10/10 | 5373 days | 1% |
| Fran Williams | 9/10 | 5373 days | 1% |
| Dennis McKrearty | 7/10 | 5379 days | 1% |
| Bette Eh | 10/10 | 5382 days | 1% |
| alcatrazz | 9/10 | 5382 days | 1% |
| Hendrik Behrens | 9/10 | 5387 days | 1% |
| Rene Jakel | 10/10 | 5389 days | 1% |
| Kasia Robshaw | 8/10 | 5397 days | 1% |
| Edwards | 7/10 | 5400 days | 1% |
| Mark Coffey | 10/10 | 5574 days | 1% |
| Martina Pankova | 4/10 | 5733 days | 0% |
| Hilary and Chris Ayton | 9/10 | 5746 days | 1% |
| David B | 8/10 | 5753 days | 1% |
| Bert Tonwen | 7/10 | 5767 days | 1% |
| Armand | 7/10 | 5772 days | 1% |
| martinab | 10/10 | 5832 days | 1% |
| Myriauy Rito | 9/10 | 5856 days | 1% |
| Dan Mair | 9/10 | 5859 days | 1% |
| Cheryl | 9/10 | 5909 days | 1% |
| JoR | 9/10 | 6080 days | 1% |
| JonK | 9/10 | 6080 days | 1% |
| Jana | 10/10 | 6134 days | 1% |
Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.
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 Shining Star Beachfront Accommodation experience has plenty of reviews and does not meet the criteria for any adjustment.
-2.12% Adjustment
There may be an adjustment if this experience hasn't received any reviews within the last 42 days. However the Shining Star Beachfront Accommodation 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 Shining Star Beachfront Accommodation experience has been adjusted for 104 days. Adjustments are according to the following table.
| Days | Adjustment |
|---|---|
| … | … |
| 101 | -2.06% |
| 102 | -2.08% |
| 103 | -2.10% |
| 104 | -2.12% |
| 105 | -2.14% |
| 106 | -2.16% |
| 107 | -2.18% |
| … | … |
1.21% 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.
90%
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.