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 Whites Bay Campsite.
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.
74 Valid Reviews
The Whites Bay Campsite experience has a total of 76 reviews. There are 74 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 74 valid reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 28 |
|
38% |
| 9/10 | 24 |
|
32% |
| 8/10 | 15 |
|
20% |
| 7/10 | 5 |
|
7% |
| 6/10 | 2 |
|
3% |
| 5/10 | 0 |
|
0% |
| 4/10 | 0 |
|
0% |
| 3/10 | 0 |
|
0% |
| 2/10 | 0 |
|
0% |
| 1/10 | 0 |
|
0% |
89.59% Average
The raw data average (mean) for all the Whites Bay Campsite valid reviews is 89.59% and is based on 74 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
31 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 74 valid reviews, the experience has 31 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 31 face-to-face reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 12 |
|
39% |
| 9/10 | 8 |
|
26% |
| 8/10 | 8 |
|
26% |
| 7/10 | 2 |
|
6% |
| 6/10 | 1 |
|
3% |
| 5/10 | 0 |
|
0% |
| 4/10 | 0 |
|
0% |
| 3/10 | 0 |
|
0% |
| 2/10 | 0 |
|
0% |
| 1/10 | 0 |
|
0% |
89.03% Average
The raw data average (mean) for all the Whites Bay Campsite face-to-face reviews is 89.03% and is based on 31 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.
89.06%
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 |
|---|---|---|---|
| Martin | 8/10 | 170 days | 100% |
| Jason C | 9/10 | 445 days | 91% |
| James | 9/10 | 504 days | 88% |
| Edward | 9/10 | 535 days | 86% |
| Savannah | 8/10 | 566 days | 83% |
| Sue | 10/10 | 841 days | 62% |
| Heloise | 9/10 | 870 days | 58% |
| Katy | 9/10 | 901 days | 55% |
| Ross Moles | 10/10 | 1176 days | 30% |
| Scott D | 9/10 | 1327 days | 19% |
| Lance Broyden | 9/10 | 1388 days | 16% |
| Marrieke | 10/10 | 1600 days | 8% |
| Maddi | 10/10 | 1631 days | 7% |
| AMR | 10/10 | 1662 days | 6% |
| Miriam | 10/10 | 2027 days | 4% |
| Michaela | 8/10 | 2423 days | 4% |
| Andrius | 9/10 | 2637 days | 3% |
| Clare & Gerry | 8/10 | 2668 days | 3% |
| Kim | 8/10 | 2880 days | 3% |
| Rachel Mudge | 8/10 | 3053 days | 2% |
| Bec | 10/10 | 3086 days | 2% |
| Rob & Colleen Elwood | 9/10 | 3245 days | 2% |
| Linda Livett | 9/10 | 3398 days | 2% |
| Thue Thomasen | 10/10 | 3430 days | 2% |
| Greg Thompson | 9/10 | 3518 days | 1% |
| Jeremy | 9/10 | 3530 days | 1% |
| Kate Thornber | 10/10 | 3545 days | 1% |
| Laurie | 7/10 | 3548 days | 1% |
| Joanne Butfield | 8/10 | 3661 days | 1% |
| Arthur | 9/10 | 3709 days | 1% |
| Michael Miles | 10/10 | 3746 days | 1% |
| Esther M | 8/10 | 3772 days | 1% |
| Dave Horry | 9/10 | 3792 days | 1% |
| Toby Regan | 9/10 | 3816 days | 1% |
| Alva Feldmeier | 7/10 | 4051 days | 0% |
| Steffen Paul | 7/10 | 4078 days | 0% |
| Josh Shwau | 10/10 | 4079 days | 0% |
| Harriet MacMillan | 6/10 | 4145 days | 0% |
| Roeland Driessen | 9/10 | 4188 days | 0% |
| Liliana Zahut | 10/10 | 4219 days | 0% |
| Stefanie | 9/10 | 4462 days | 1% |
| Jan-Peter Stripp | 10/10 | 4462 days | 1% |
| Carla Oyarzun | 10/10 | 4476 days | 1% |
| Paolo Cases | 10/10 | 4476 days | 1% |
| Vera Kreipe | 9/10 | 4499 days | 1% |
| Max Stein | 10/10 | 4513 days | 1% |
| Alineet Gautier | 10/10 | 4553 days | 1% |
| Carina Huhmann | 8/10 | 4558 days | 1% |
| Romina Bolz | 7/10 | 4558 days | 1% |
| Hannah | 10/10 | 4584 days | 1% |
| GN100 | 10/10 | 4706 days | 1% |
| Gale Willcocks | 9/10 | 4852 days | 1% |
| Ken Richardson | 10/10 | 4852 days | 1% |
| Christian | 10/10 | 4852 days | 1% |
| Janina Hoffmann | 10/10 | 4854 days | 1% |
| Florent Corino | 10/10 | 4863 days | 1% |
| Lea Bulle | 9/10 | 4863 days | 1% |
| Carpentier | 8/10 | 4864 days | 1% |
| TJ and Julie Edwards | 10/10 | 4872 days | 1% |
| Kevin Rainey | 8/10 | 4875 days | 1% |
| Jackie and Brian | 8/10 | 4941 days | 1% |
| Jenben | 10/10 | 4979 days | 1% |
| Carly Braddock | 9/10 | 5213 days | 1% |
| Numa Brouimet | 10/10 | 5220 days | 1% |
| Virgil Anabel | 9/10 | 5220 days | 1% |
| suemax | 10/10 | 5224 days | 1% |
| Graeme | 10/10 | 5253 days | 1% |
| Mark Irwin | 9/10 | 5601 days | 1% |
| Richard Brijs | 7/10 | 5601 days | 1% |
| Amanda Wallace | 9/10 | 5608 days | 1% |
| Christian Kamm | 6/10 | 6286 days | 1% |
| S | 8/10 | 6343 days | 1% |
| Frances | 8/10 | 6343 days | 1% |
| Katrina | 8/10 | 6374 days | 1% |
No Adjustment
Several adjustments to the weighted average may be added to improve relevancy and credibility. Whites Bay Campsite does not meet the criteria for any of these adjustments to apply.
1.13% 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 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.
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.