Hi, 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 Western Springs Spot.
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.
73 Valid Reviews
The Western Springs Spot experience has a total of 75 reviews. There are 73 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 73 valid reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 68 |
|
93% |
| 9/10 | 5 |
|
7% |
| 8/10 | 0 |
|
0% |
| 7/10 | 0 |
|
0% |
| 6/10 | 0 |
|
0% |
| 5/10 | 0 |
|
0% |
| 4/10 | 0 |
|
0% |
| 3/10 | 0 |
|
0% |
| 2/10 | 0 |
|
0% |
| 1/10 | 0 |
|
0% |
99.32% Average
The raw data average (mean) for all the Western Springs Spot valid reviews is 99.32% and is based on 73 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
99.27%
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 |
|---|---|---|---|
| Ann-Kristin Walek | 10/10 | 38 days | 100% |
| Henrike Grotsch | 10/10 | 69 days | 100% |
| Johann Münkner | 10/10 | 69 days | 100% |
| Claude Prigent | 10/10 | 130 days | 99% |
| Beccy | 9/10 | 130 days | 98% |
| Caleb | 10/10 | 130 days | 99% |
| Angèle Aveline | 10/10 | 130 days | 99% |
| Liss | 10/10 | 160 days | 99% |
| Carola Toppe | 10/10 | 252 days | 96% |
| Reinhild | 10/10 | 313 days | 94% |
| Jade Dufour | 9/10 | 313 days | 93% |
| Hubert Skudlik | 10/10 | 313 days | 94% |
| Lynn Dumoulin | 10/10 | 313 days | 94% |
| Michael Szott | 9/10 | 344 days | 92% |
| Mady Roosen | 10/10 | 372 days | 92% |
| Kerstin Wilmans | 10/10 | 372 days | 92% |
| OB | 10/10 | 372 days | 92% |
| Julie | 10/10 | 372 days | 92% |
| Di Sloan | 10/10 | 372 days | 92% |
| Jamie.wills@yahoo.co.uk | 10/10 | 372 days | 92% |
| David Weyel | 10/10 | 372 days | 92% |
| Holly | 10/10 | 403 days | 90% |
| Günter Handler | 10/10 | 403 days | 90% |
| Francois Petit | 10/10 | 403 days | 90% |
| Ruth Bosustow | 10/10 | 403 days | 90% |
| Emily | 10/10 | 403 days | 90% |
| Elisabeth Schraml | 10/10 | 403 days | 90% |
| Marta | 10/10 | 434 days | 89% |
| Jonathan Nelson | 10/10 | 434 days | 89% |
| Henry | 10/10 | 434 days | 89% |
| Verena Schöser | 10/10 | 434 days | 89% |
| Boy | 10/10 | 464 days | 87% |
| Karl-Friedrich Haenel | 10/10 | 464 days | 87% |
| Alice | 10/10 | 464 days | 87% |
| Hanna | 10/10 | 464 days | 87% |
| Matthias | 10/10 | 464 days | 87% |
| Stacey O | 10/10 | 525 days | 84% |
| Eva Holliwell | 10/10 | 556 days | 82% |
| Wouter | 9/10 | 556 days | 81% |
| Twinnz | 10/10 | 617 days | 77% |
| Rejane Noel | 10/10 | 617 days | 77% |
| Kornel Tornyos | 10/10 | 648 days | 75% |
| Florencia | 10/10 | 648 days | 75% |
| Tom Williams | 10/10 | 648 days | 75% |
| Barnabas Csoka | 10/10 | 648 days | 75% |
| Jelco | 10/10 | 678 days | 72% |
| Ondrej Visa | 10/10 | 678 days | 72% |
| TJ | 10/10 | 678 days | 72% |
| Caron | 10/10 | 709 days | 70% |
| Tristan Temme | 10/10 | 709 days | 70% |
| Niels | 10/10 | 709 days | 70% |
| Conny | 10/10 | 709 days | 70% |
| Alexander Kaulartz | 10/10 | 709 days | 70% |
| Andreas Meyer | 10/10 | 709 days | 70% |
| Franz Kestler | 10/10 | 709 days | 70% |
| Simone | 10/10 | 738 days | 67% |
| Lonneke van Westenbrugge | 10/10 | 738 days | 67% |
| Sarah Mongbo | 10/10 | 738 days | 67% |
| Matt | 10/10 | 830 days | 59% |
| Joe | 10/10 | 861 days | 56% |
| Lot | 9/10 | 861 days | 55% |
| Landon Brown | 10/10 | 861 days | 56% |
| Nolwenn | 10/10 | 861 days | 56% |
| Sean | 10/10 | 861 days | 56% |
| Sharon Hao | 10/10 | 861 days | 56% |
| Eva-Marie | 10/10 | 861 days | 56% |
| Léa Le Coquil | 10/10 | 891 days | 52% |
| Angela Laloli | 10/10 | 891 days | 52% |
| Bevan Haswell | 10/10 | 891 days | 52% |
| Lisa | 10/10 | 891 days | 52% |
| Mark | 10/10 | 922 days | 49% |
| Euge y Luz | 10/10 | 953 days | 46% |
| April REN | 10/10 | 1864 days | 0% |
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 Western Springs Spot experience has plenty of reviews and does not meet the criteria for any adjustment.
-0.27% Adjustment
There may be an adjustment if this experience hasn't received any reviews within the last 51 days. However the Western Springs Spot 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 Western Springs Spot experience has been adjusted for 13 days. Adjustments are according to the following table.
| Days | Adjustment |
|---|---|
| … | … |
| 10 | -0.21% |
| 11 | -0.23% |
| 12 | -0.25% |
| 13 | -0.27% |
| 14 | -0.29% |
| 15 | -0.31% |
| 16 | -0.33% |
| … | … |
0.08% 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.
99%
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.