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.
88.88%
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 | 231 days | 100% |
| Jason C | 9/10 | 506 days | 89% |
| James | 9/10 | 565 days | 85% |
| Edward | 9/10 | 596 days | 83% |
| Savannah | 8/10 | 627 days | 80% |
| Sue | 10/10 | 902 days | 56% |
| Heloise | 9/10 | 931 days | 53% |
| Katy | 9/10 | 962 days | 49% |
| Ross Moles | 10/10 | 1237 days | 26% |
| Scott D | 9/10 | 1388 days | 16% |
| Lance Broyden | 9/10 | 1449 days | 13% |
| Marrieke | 10/10 | 1661 days | 7% |
| Maddi | 10/10 | 1692 days | 6% |
| AMR | 10/10 | 1723 days | 6% |
| Miriam | 10/10 | 2088 days | 5% |
| Michaela | 8/10 | 2484 days | 4% |
| Andrius | 9/10 | 2698 days | 3% |
| Clare & Gerry | 8/10 | 2729 days | 3% |
| Kim | 8/10 | 2941 days | 3% |
| Rachel Mudge | 8/10 | 3114 days | 2% |
| Bec | 10/10 | 3147 days | 2% |
| Rob & Colleen Elwood | 9/10 | 3305 days | 2% |
| Linda Livett | 9/10 | 3458 days | 2% |
| Thue Thomasen | 10/10 | 3491 days | 2% |
| Greg Thompson | 9/10 | 3579 days | 1% |
| Jeremy | 9/10 | 3591 days | 1% |
| Kate Thornber | 10/10 | 3606 days | 1% |
| Laurie | 7/10 | 3609 days | 1% |
| Joanne Butfield | 8/10 | 3722 days | 1% |
| Arthur | 9/10 | 3770 days | 1% |
| Michael Miles | 10/10 | 3807 days | 1% |
| Esther M | 8/10 | 3833 days | 1% |
| Dave Horry | 9/10 | 3852 days | 1% |
| Toby Regan | 9/10 | 3877 days | 1% |
| Alva Feldmeier | 7/10 | 4112 days | 0% |
| Steffen Paul | 7/10 | 4139 days | 0% |
| Josh Shwau | 10/10 | 4140 days | 0% |
| Harriet MacMillan | 6/10 | 4206 days | 0% |
| Roeland Driessen | 9/10 | 4248 days | 0% |
| Liliana Zahut | 10/10 | 4279 days | 0% |
| Stefanie | 9/10 | 4523 days | 1% |
| Jan-Peter Stripp | 10/10 | 4523 days | 1% |
| Carla Oyarzun | 10/10 | 4537 days | 1% |
| Paolo Cases | 10/10 | 4537 days | 1% |
| Vera Kreipe | 9/10 | 4560 days | 1% |
| Max Stein | 10/10 | 4574 days | 1% |
| Alineet Gautier | 10/10 | 4614 days | 1% |
| Carina Huhmann | 8/10 | 4619 days | 1% |
| Romina Bolz | 7/10 | 4619 days | 1% |
| Hannah | 10/10 | 4645 days | 1% |
| GN100 | 10/10 | 4767 days | 1% |
| Gale Willcocks | 9/10 | 4913 days | 1% |
| Ken Richardson | 10/10 | 4913 days | 1% |
| Christian | 10/10 | 4913 days | 1% |
| Janina Hoffmann | 10/10 | 4915 days | 1% |
| Florent Corino | 10/10 | 4924 days | 1% |
| Lea Bulle | 9/10 | 4924 days | 1% |
| Carpentier | 8/10 | 4925 days | 1% |
| TJ and Julie Edwards | 10/10 | 4933 days | 1% |
| Kevin Rainey | 8/10 | 4936 days | 1% |
| Jackie and Brian | 8/10 | 5002 days | 1% |
| Jenben | 10/10 | 5040 days | 1% |
| Carly Braddock | 9/10 | 5274 days | 1% |
| Numa Brouimet | 10/10 | 5281 days | 1% |
| Virgil Anabel | 9/10 | 5281 days | 1% |
| suemax | 10/10 | 5285 days | 1% |
| Graeme | 10/10 | 5314 days | 1% |
| Mark Irwin | 9/10 | 5662 days | 1% |
| Richard Brijs | 7/10 | 5662 days | 1% |
| Amanda Wallace | 9/10 | 5669 days | 1% |
| Christian Kamm | 6/10 | 6347 days | 1% |
| S | 8/10 | 6404 days | 1% |
| Frances | 8/10 | 6404 days | 1% |
| Katrina | 8/10 | 6435 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.
1.16% 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.