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 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.
88.78%
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 | 271 days | 100% |
| Jason C | 9/10 | 546 days | 87% |
| James | 9/10 | 605 days | 83% |
| Edward | 9/10 | 636 days | 81% |
| Savannah | 8/10 | 667 days | 78% |
| Sue | 10/10 | 942 days | 53% |
| Heloise | 9/10 | 971 days | 49% |
| Katy | 9/10 | 1002 days | 46% |
| Ross Moles | 10/10 | 1277 days | 23% |
| Scott D | 9/10 | 1428 days | 15% |
| Lance Broyden | 9/10 | 1489 days | 12% |
| Marrieke | 10/10 | 1701 days | 6% |
| Maddi | 10/10 | 1732 days | 6% |
| AMR | 10/10 | 1763 days | 5% |
| Miriam | 10/10 | 2128 days | 5% |
| Michaela | 8/10 | 2524 days | 4% |
| Andrius | 9/10 | 2738 days | 3% |
| Clare & Gerry | 8/10 | 2769 days | 3% |
| Kim | 8/10 | 2981 days | 3% |
| Rachel Mudge | 8/10 | 3154 days | 2% |
| Bec | 10/10 | 3187 days | 2% |
| Rob & Colleen Elwood | 9/10 | 3346 days | 2% |
| Linda Livett | 9/10 | 3499 days | 2% |
| Thue Thomasen | 10/10 | 3531 days | 2% |
| Greg Thompson | 9/10 | 3619 days | 1% |
| Jeremy | 9/10 | 3631 days | 1% |
| Kate Thornber | 10/10 | 3646 days | 1% |
| Laurie | 7/10 | 3649 days | 1% |
| Joanne Butfield | 8/10 | 3762 days | 1% |
| Arthur | 9/10 | 3810 days | 1% |
| Michael Miles | 10/10 | 3847 days | 1% |
| Esther M | 8/10 | 3873 days | 1% |
| Dave Horry | 9/10 | 3893 days | 1% |
| Toby Regan | 9/10 | 3917 days | 1% |
| Alva Feldmeier | 7/10 | 4152 days | 0% |
| Steffen Paul | 7/10 | 4179 days | 0% |
| Josh Shwau | 10/10 | 4180 days | 0% |
| Harriet MacMillan | 6/10 | 4246 days | 0% |
| Roeland Driessen | 9/10 | 4289 days | 0% |
| Liliana Zahut | 10/10 | 4320 days | 0% |
| Stefanie | 9/10 | 4563 days | 1% |
| Jan-Peter Stripp | 10/10 | 4563 days | 1% |
| Carla Oyarzun | 10/10 | 4577 days | 1% |
| Paolo Cases | 10/10 | 4577 days | 1% |
| Vera Kreipe | 9/10 | 4600 days | 1% |
| Max Stein | 10/10 | 4614 days | 1% |
| Alineet Gautier | 10/10 | 4654 days | 1% |
| Carina Huhmann | 8/10 | 4659 days | 1% |
| Romina Bolz | 7/10 | 4659 days | 1% |
| Hannah | 10/10 | 4685 days | 1% |
| GN100 | 10/10 | 4807 days | 1% |
| Gale Willcocks | 9/10 | 4953 days | 1% |
| Ken Richardson | 10/10 | 4953 days | 1% |
| Christian | 10/10 | 4953 days | 1% |
| Janina Hoffmann | 10/10 | 4955 days | 1% |
| Florent Corino | 10/10 | 4964 days | 1% |
| Lea Bulle | 9/10 | 4964 days | 1% |
| Carpentier | 8/10 | 4965 days | 1% |
| TJ and Julie Edwards | 10/10 | 4973 days | 1% |
| Kevin Rainey | 8/10 | 4976 days | 1% |
| Jackie and Brian | 8/10 | 5042 days | 1% |
| Jenben | 10/10 | 5080 days | 1% |
| Carly Braddock | 9/10 | 5314 days | 1% |
| Numa Brouimet | 10/10 | 5321 days | 1% |
| Virgil Anabel | 9/10 | 5321 days | 1% |
| suemax | 10/10 | 5325 days | 1% |
| Graeme | 10/10 | 5354 days | 1% |
| Mark Irwin | 9/10 | 5702 days | 1% |
| Richard Brijs | 7/10 | 5702 days | 1% |
| Amanda Wallace | 9/10 | 5709 days | 1% |
| Christian Kamm | 6/10 | 6387 days | 1% |
| S | 8/10 | 6444 days | 1% |
| Frances | 8/10 | 6444 days | 1% |
| Katrina | 8/10 | 6475 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.
1.17% 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.