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 Mad Campers.
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.
Mad Campers
Valid Reviews
79 Valid Reviews
The Mad Campers experience has a total of 83 reviews. There are 79 valid reviews that are included when calculating the ranking score and 4 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 79 valid reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 60 |
|
76% |
| 9/10 | 15 |
|
19% |
| 8/10 | 4 |
|
5% |
| 7/10 | 0 |
|
0% |
| 6/10 | 0 |
|
0% |
| 5/10 | 0 |
|
0% |
| 4/10 | 0 |
|
0% |
| 3/10 | 0 |
|
0% |
| 2/10 | 0 |
|
0% |
| 1/10 | 0 |
|
0% |
97.09% Average
The raw data average (mean) for all the Mad Campers valid reviews is 97.09% and is based on 79 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
Weighted Average
98.16%
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 |
|---|---|---|---|
| John Ricker | 10/10 | 171 days | 100% |
| Molly | 10/10 | 199 days | 99% |
| Jimmy | 10/10 | 595 days | 81% |
| Ada | 9/10 | 656 days | 76% |
| Zoe Shipley | 10/10 | 748 days | 69% |
| Leigh Buckingham | 10/10 | 1053 days | 39% |
| Alex Marinets | 10/10 | 1145 days | 31% |
| Cory Spencer | 10/10 | 1206 days | 27% |
| Bobbie | 10/10 | 1267 days | 22% |
| Ace Metivier | 10/10 | 1387 days | 15% |
| Libby Simmonds | 9/10 | 2025 days | 4% |
| Diana | 10/10 | 2025 days | 4% |
| Franco Sabadini | 9/10 | 2056 days | 4% |
| louise peel | 10/10 | 2087 days | 4% |
| Brooke O'Connell | 10/10 | 2270 days | 3% |
| Ann Boekstegers | 10/10 | 2362 days | 3% |
| Kat Suddaby | 10/10 | 2391 days | 3% |
| Adam Mitchell | 10/10 | 2391 days | 3% |
| Alexander Ruhland | 10/10 | 2422 days | 3% |
| Silvere VERACRUZ | 8/10 | 2422 days | 3% |
| Lizzie Lacey-Brennan | 9/10 | 2453 days | 3% |
| Jonas Gemmel | 10/10 | 2453 days | 3% |
| Valerie LaCrosse | 10/10 | 2483 days | 3% |
| Laura Collins | 10/10 | 2544 days | 3% |
| Amandine CHATAIN | 9/10 | 2575 days | 3% |
| Justine Senée | 9/10 | 2575 days | 3% |
| Indra Prasetyo | 10/10 | 2667 days | 2% |
| SCOTT HASSLER | 9/10 | 2667 days | 2% |
| Summer Peterman | 10/10 | 2667 days | 2% |
| Lorrie Kaplan | 10/10 | 2697 days | 2% |
| Stephanie Hill | 10/10 | 2697 days | 2% |
| Will Johnson | 10/10 | 2697 days | 2% |
| Bob Bergman | 10/10 | 2728 days | 2% |
| Milena Tkotz | 10/10 | 2728 days | 2% |
| William Nash | 10/10 | 2728 days | 2% |
| Alan Whitlock | 10/10 | 2728 days | 2% |
| Sean Seguin | 10/10 | 2756 days | 2% |
| Chris Bollington | 8/10 | 2756 days | 2% |
| Sam Atkins | 10/10 | 2756 days | 2% |
| Laura Morley | 10/10 | 2787 days | 2% |
| Kristen Rodgers | 10/10 | 2787 days | 2% |
| fabien Lafond | 9/10 | 2787 days | 2% |
| Matthijs de Jong | 10/10 | 2787 days | 2% |
| Caroline Creekman | 10/10 | 2818 days | 2% |
| Julie Robinson | 10/10 | 2818 days | 2% |
| William Swann | 10/10 | 2818 days | 2% |
| Catherine Henry | 10/10 | 2818 days | 2% |
| Richard Arnot | 10/10 | 2848 days | 2% |
| Tety Kusuma Wardani Tety | 9/10 | 2848 days | 2% |
| Benjamin Becker | 10/10 | 2848 days | 2% |
| Marieke & Wieteke | 10/10 | 2879 days | 2% |
| Nurrin Akhyar Nurrinanuwar | 9/10 | 2909 days | 2% |
| James Campos | 10/10 | 2940 days | 2% |
| Fernando & Andrea | 9/10 | 2940 days | 2% |
| Andrew Korson | 10/10 | 2971 days | 2% |
| jarren Verbeek | 10/10 | 3001 days | 2% |
| Hamish Wedd | 8/10 | 3062 days | 2% |
| María Casanova | 10/10 | 3062 days | 2% |
| Janine Shaw | 10/10 | 3093 days | 2% |
| Karine | 9/10 | 3093 days | 2% |
| Maria Sol Fresard Disselkoen | 10/10 | 3093 days | 2% |
| Logan | 10/10 | 3093 days | 2% |
| Nick | 10/10 | 3093 days | 2% |
| Sandi Fukumoto | 10/10 | 3121 days | 2% |
| Theo and Rachel | 10/10 | 3121 days | 2% |
| Peter & Vicki | 10/10 | 3121 days | 2% |
| BoRoTravel | 10/10 | 3121 days | 2% |
| Stefano Muratore | 10/10 | 3121 days | 2% |
| Jane | 10/10 | 3121 days | 2% |
| Rick Karsten | 10/10 | 3152 days | 1% |
| Joel McDowell | 10/10 | 3152 days | 1% |
| Rogier van Hei | 8/10 | 3152 days | 1% |
| Hayley Diakiw | 9/10 | 3213 days | 1% |
| LIZ WATKINS | 9/10 | 3213 days | 1% |
| Olli-Pekka Heinimäki | 10/10 | 3213 days | 1% |
| Sam Pillidge | 10/10 | 3274 days | 1% |
| Jason Longhos | 10/10 | 3274 days | 1% |
| Nakita | 10/10 | 3427 days | 1% |
| Charles E Wilber | 9/10 | 6470 days | 0% |
Adjustments
Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.
Sample Size Adjustment
No Adjustment
A reasonable number of reviews are necessary in order for the average to be credible and for an experience to take a prime position within the ranking tables. As such, experiences with only a few reviews have a moderated score. This does not mean that the experience or the reviews can't be trusted. The Mad Campers experience has plenty of reviews and does not meet the criteria for any adjustment.
Recent Reviews Adjustment
-4.55% Adjustment
Recent reviews reflect the experience as it currently operates. This means it's important to get fresh reviews. Some experiences discovered they could get a few good reviews and then, resting on their laurels, discourage any further reviews. This adjustment stimulates experiences to be positively involved in the review generating process and discourages them from manipulating the ranking system in this manner.
What constitutes a recent review is based on the how old it is, what type of experience it is applied to and and what time of year it currently is. Due to the seasonal nature of many businesses, what is considered recent is dynamically adjusted throughout the year.
There may be an adjustment if this experience hasn't received enough reviews within the last 110 days. The Mad Campers experience has 0 recent rankings. Adjustments are according to the following table:
| Recent Reviews | Adjustment |
|---|---|
| 0 | -3.00% |
| 1 | -2.63% |
| 2 | -1.50% |
| 3 | -0.38% |
| 4 | -0.00% |
In addition, an experience's ranking score may be adjusted for each day there is no new ranking. After 1 day the adjustment comes into effect. The maximum number of days that can be adjusted for is 200 days. Due to the seasonal nature of many businesses, this adjustment is applied dynamically throughout the year.
The Mad Campers experience has been adjusted for 131 days. Adjustments are according to the following table.
| Days | Adjustment |
|---|---|
| … | … |
| 128 | -1.51% |
| 129 | -1.52% |
| 130 | -1.54% |
| 131 | -1.55% |
| 132 | -1.56% |
| 133 | -1.57% |
| 134 | -1.58% |
| … | … |
Balancing Adjustment
0.57% 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 customers 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.
Onboarding Rating
This rating is about customer service and camper availability. It measures aspects of the customer journey that are often missing from online ratings. It includes performances based on: pre-booking communication, product availability and responsiveness to customer enquiries.
All metrics come from actual customer interactions.
Details are calculated daily from statistics over several years and merged with the score derived from customer reviews - to then form the final ranking score.
Final Ranking Score
92%
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.