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.
89.29%
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 | 90 days | 100% |
| Jason C | 9/10 | 365 days | 94% |
| James | 9/10 | 424 days | 91% |
| Edward | 9/10 | 455 days | 89% |
| Savannah | 8/10 | 486 days | 87% |
| Sue | 10/10 | 761 days | 68% |
| Heloise | 9/10 | 790 days | 65% |
| Katy | 9/10 | 821 days | 62% |
| Ross Moles | 10/10 | 1096 days | 36% |
| Scott D | 9/10 | 1247 days | 24% |
| Lance Broyden | 9/10 | 1308 days | 20% |
| Marrieke | 10/10 | 1520 days | 10% |
| Maddi | 10/10 | 1551 days | 9% |
| AMR | 10/10 | 1582 days | 8% |
| Miriam | 10/10 | 1947 days | 4% |
| Michaela | 8/10 | 2343 days | 4% |
| Andrius | 9/10 | 2557 days | 3% |
| Clare & Gerry | 8/10 | 2588 days | 3% |
| Kim | 8/10 | 2800 days | 3% |
| Rachel Mudge | 8/10 | 2973 days | 2% |
| Bec | 10/10 | 3006 days | 2% |
| Rob & Colleen Elwood | 9/10 | 3164 days | 2% |
| Linda Livett | 9/10 | 3317 days | 2% |
| Thue Thomasen | 10/10 | 3350 days | 2% |
| Greg Thompson | 9/10 | 3438 days | 1% |
| Jeremy | 9/10 | 3450 days | 1% |
| Kate Thornber | 10/10 | 3465 days | 1% |
| Laurie | 7/10 | 3468 days | 1% |
| Joanne Butfield | 8/10 | 3581 days | 1% |
| Arthur | 9/10 | 3629 days | 1% |
| Michael Miles | 10/10 | 3666 days | 1% |
| Esther M | 8/10 | 3692 days | 1% |
| Dave Horry | 9/10 | 3711 days | 1% |
| Toby Regan | 9/10 | 3736 days | 1% |
| Alva Feldmeier | 7/10 | 3971 days | 0% |
| Steffen Paul | 7/10 | 3998 days | 0% |
| Josh Shwau | 10/10 | 3999 days | 0% |
| Harriet MacMillan | 6/10 | 4065 days | 0% |
| Roeland Driessen | 9/10 | 4107 days | 0% |
| Liliana Zahut | 10/10 | 4138 days | 0% |
| Stefanie | 9/10 | 4382 days | 1% |
| Jan-Peter Stripp | 10/10 | 4382 days | 1% |
| Carla Oyarzun | 10/10 | 4396 days | 1% |
| Paolo Cases | 10/10 | 4396 days | 1% |
| Vera Kreipe | 9/10 | 4419 days | 1% |
| Max Stein | 10/10 | 4433 days | 1% |
| Alineet Gautier | 10/10 | 4473 days | 1% |
| Carina Huhmann | 8/10 | 4478 days | 1% |
| Romina Bolz | 7/10 | 4478 days | 0% |
| Hannah | 10/10 | 4504 days | 1% |
| GN100 | 10/10 | 4626 days | 1% |
| Gale Willcocks | 9/10 | 4772 days | 1% |
| Ken Richardson | 10/10 | 4772 days | 1% |
| Christian | 10/10 | 4772 days | 1% |
| Janina Hoffmann | 10/10 | 4774 days | 1% |
| Florent Corino | 10/10 | 4783 days | 1% |
| Lea Bulle | 9/10 | 4783 days | 1% |
| Carpentier | 8/10 | 4784 days | 1% |
| TJ and Julie Edwards | 10/10 | 4792 days | 1% |
| Kevin Rainey | 8/10 | 4795 days | 1% |
| Jackie and Brian | 8/10 | 4861 days | 1% |
| Jenben | 10/10 | 4899 days | 1% |
| Carly Braddock | 9/10 | 5133 days | 1% |
| Numa Brouimet | 10/10 | 5140 days | 1% |
| Virgil Anabel | 9/10 | 5140 days | 1% |
| suemax | 10/10 | 5144 days | 1% |
| Graeme | 10/10 | 5173 days | 1% |
| Mark Irwin | 9/10 | 5521 days | 1% |
| Richard Brijs | 7/10 | 5521 days | 0% |
| Amanda Wallace | 9/10 | 5528 days | 1% |
| Christian Kamm | 6/10 | 6206 days | 0% |
| S | 8/10 | 6263 days | 1% |
| Frances | 8/10 | 6263 days | 1% |
| Katrina | 8/10 | 6294 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.
1.10% 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.