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 Wellington Botanic Gardens.
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.
Wellington Botanic Gardens
Valid Reviews
70 Valid Reviews
The Wellington Botanic Gardens experience has a total of 70 valid reviews. There are no 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 70 valid reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 16 |
|
23% |
| 9/10 | 23 |
|
33% |
| 8/10 | 20 |
|
29% |
| 7/10 | 10 |
|
14% |
| 6/10 | 0 |
|
0% |
| 5/10 | 1 |
|
1% |
| 4/10 | 0 |
|
0% |
| 3/10 | 0 |
|
0% |
| 2/10 | 0 |
|
0% |
| 1/10 | 0 |
|
0% |
86.00% Average
The raw data average (mean) for all the Wellington Botanic Gardens valid reviews is 86.00% and is based on 70 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
Face-to-Face Reviews
61 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 70 valid reviews, the experience has 61 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 61 face-to-face reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 13 |
|
21% |
| 9/10 | 21 |
|
34% |
| 8/10 | 18 |
|
30% |
| 7/10 | 8 |
|
13% |
| 6/10 | 0 |
|
0% |
| 5/10 | 1 |
|
2% |
| 4/10 | 0 |
|
0% |
| 3/10 | 0 |
|
0% |
| 2/10 | 0 |
|
0% |
| 1/10 | 0 |
|
0% |
85.90% Average
The raw data average (mean) for all the Wellington Botanic Gardens face-to-face reviews is 85.90% and is based on 61 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.
Weighted Average
86.69%
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 |
|---|---|---|---|
| Mike Fricker | 10/10 | 2658 days | 100% |
| Helna Saumanova | 10/10 | 3286 days | 63% |
| Richard | 8/10 | 3334 days | 59% |
| Sabrina and Hannes | 9/10 | 3353 days | 59% |
| Selma Franke | 9/10 | 3357 days | 59% |
| Su Jung Han | 10/10 | 3577 days | 47% |
| Fanny | 9/10 | 3578 days | 46% |
| Hector Sharp | 7/10 | 3578 days | 43% |
| Andre | 10/10 | 3594 days | 46% |
| Sybille | 10/10 | 3594 days | 46% |
| Marine | 8/10 | 3595 days | 45% |
| Paul Gaylon | 10/10 | 3598 days | 45% |
| Eberhard | 8/10 | 3599 days | 44% |
| Adam Pulkrabek | 8/10 | 3606 days | 44% |
| Olga Barathova | 9/10 | 3606 days | 44% |
| Melissa Fuster | 7/10 | 3643 days | 40% |
| renee verwey | 9/10 | 3650 days | 42% |
| Lea | 8/10 | 3690 days | 39% |
| Bob Fontaine | 7/10 | 3776 days | 32% |
| Melvin Spear | 9/10 | 3981 days | 23% |
| Manuela Opprecht | 10/10 | 4007 days | 21% |
| Sam Bruylant | 9/10 | 4318 days | 3% |
| Vera Kreipe | 8/10 | 4338 days | 2% |
| Jennifer Garner | 10/10 | 4346 days | 2% |
| Dana | 10/10 | 4351 days | 1% |
| Frederic Gazzarin | 9/10 | 4357 days | 1% |
| Patricia Gazzarin | 10/10 | 4357 days | 1% |
| Ruth Watkin | 9/10 | 4357 days | 1% |
| GN100 | 8/10 | 4359 days | 1% |
| Julia Bonisch | 7/10 | 4376 days | 0% |
| Verena | 9/10 | 4689 days | 29% |
| Hans | 9/10 | 4778 days | 29% |
| Anne and John | 9/10 | 4787 days | 29% |
| Jen Sweeting | 8/10 | 5050 days | 29% |
| Duncan Mallison | 7/10 | 5069 days | 27% |
| Richard Sutherland | 5/10 | 5072 days | 22% |
| Graham Platt | 8/10 | 5072 days | 29% |
| R E Webb | 9/10 | 5075 days | 29% |
| Diana Allan | 9/10 | 5079 days | 29% |
| Lepied | 8/10 | 5079 days | 29% |
| Graham Swinyard | 7/10 | 5086 days | 27% |
| CMJ | 8/10 | 5123 days | 29% |
| scampr | 8/10 | 5123 days | 29% |
| hendrik king | 7/10 | 5154 days | 27% |
| Steve Eley | 9/10 | 5163 days | 29% |
| Willem & Lilian | 8/10 | 5163 days | 29% |
| Curry | 10/10 | 5166 days | 30% |
| Herman Plasman | 8/10 | 5169 days | 29% |
| R & M Willows | 10/10 | 5171 days | 30% |
| Elke & Charlotte | 7/10 | 5174 days | 27% |
| Malcolm Jones | 8/10 | 5422 days | 29% |
| Kimberly St Louis | 10/10 | 5443 days | 30% |
| Claire Hoyland | 8/10 | 5444 days | 29% |
| Cara Dungay | 7/10 | 5445 days | 27% |
| John Allen | 9/10 | 5452 days | 29% |
| Tanner | 10/10 | 5452 days | 30% |
| John Simpson | 8/10 | 5454 days | 29% |
| Nicole | 10/10 | 5549 days | 30% |
| Haupt | 9/10 | 5784 days | 29% |
| Herrmann | 9/10 | 5797 days | 29% |
| Susan & Richard | 10/10 | 5797 days | 30% |
| Henrik Plichta | 8/10 | 5803 days | 29% |
| Jess Laver | 9/10 | 5807 days | 29% |
| Robb Howland | 9/10 | 5818 days | 29% |
| Bram-Jan M | 8/10 | 5821 days | 29% |
| Lamb | 9/10 | 5821 days | 29% |
| Nigel Armstrong | 9/10 | 5833 days | 29% |
| Ulyate | 7/10 | 5895 days | 27% |
| Kaye | 8/10 | 6128 days | 29% |
| Christian Troendle | 9/10 | 6134 days | 29% |
Adjustments
No Adjustment
Several adjustments to the weighted average may be added to improve relevancy and credibility. Wellington Botanic Gardens does not meet the criteria for any of these adjustments to apply.
Balancing Adjustment
1.51% 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 folk 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
88%
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.