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 Aroha Luxury New Zealand Tours.
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.
70 Valid Reviews
The Aroha Luxury New Zealand Tours experience has a total of 70 valid reviews. There are no 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 70 valid reviews:
| Rating | Count | Percentage | |
|---|---|---|---|
| 10/10 | 61 |
|
87% |
| 9/10 | 8 |
|
11% |
| 8/10 | 1 |
|
1% |
| 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% |
98.57% Average
The raw data average (mean) for all the Aroha Luxury New Zealand Tours valid reviews is 98.57% and is based on 70 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
98.61%
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 |
|---|---|---|---|
| Minesh Govenji | 10/10 | 2383 days | 100% |
| Srikant | 10/10 | 2383 days | 100% |
| Meir Boukris | 9/10 | 2444 days | 95% |
| Shravan Shetty | 10/10 | 2475 days | 94% |
| Mariano | 10/10 | 2567 days | 88% |
| Océane | 10/10 | 2628 days | 84% |
| Elyce Rotella | 10/10 | 2689 days | 80% |
| Nir | 10/10 | 2717 days | 78% |
| Lisa Hanline | 10/10 | 2809 days | 72% |
| Jaime G. del Rosario | 10/10 | 2840 days | 69% |
| Bob and Joyce Kroencke, USA | 10/10 | 3054 days | 55% |
| John M | 10/10 | 3113 days | 51% |
| Vivien Kalvaria | 9/10 | 3144 days | 48% |
| Stephen Forte | 10/10 | 3174 days | 47% |
| Christian | 10/10 | 3784 days | 6% |
| gloria tseng | 10/10 | 4484 days | 1% |
| Steven Hucik | 10/10 | 4543 days | 1% |
| Brid Devlin | 9/10 | 4543 days | 0% |
| David McLemore | 10/10 | 4543 days | 1% |
| Carrie | 10/10 | 4543 days | 1% |
| Ed | 10/10 | 4574 days | 1% |
| reviewer | 10/10 | 4605 days | 1% |
| Felicia Ng | 10/10 | 4635 days | 1% |
| Timmy & Megan | 10/10 | 4635 days | 1% |
| Christian | 10/10 | 4635 days | 1% |
| anton prawira | 9/10 | 4727 days | 0% |
| june isono | 9/10 | 4758 days | 0% |
| Cynthia Nardelli | 10/10 | 4758 days | 1% |
| angeline_ang | 9/10 | 4788 days | 0% |
| Alex London | 8/10 | 4880 days | 0% |
| Sharon K | 10/10 | 4880 days | 1% |
| Terry Bryk | 10/10 | 4908 days | 1% |
| Philips | 10/10 | 4939 days | 1% |
| scott | 10/10 | 4970 days | 1% |
| Courtney1 | 10/10 | 5031 days | 1% |
| aurbanes | 10/10 | 5092 days | 1% |
| joanhsieh | 10/10 | 5123 days | 1% |
| Varda Mehta | 10/10 | 5123 days | 1% |
| raminderrayar | 10/10 | 5184 days | 1% |
| PegTraveller | 10/10 | 5184 days | 1% |
| Shaunhk | 10/10 | 5214 days | 1% |
| arlenemattera | 10/10 | 5214 days | 1% |
| MBaum735 | 10/10 | 5245 days | 1% |
| terig | 10/10 | 5274 days | 1% |
| tfeng | 9/10 | 5274 days | 0% |
| james09173 | 10/10 | 5366 days | 1% |
| Lei | 10/10 | 5427 days | 1% |
| shlomo iager | 10/10 | 5427 days | 1% |
| gigirup | 10/10 | 5427 days | 1% |
| pinecliffs | 10/10 | 5639 days | 1% |
| GiancarloB | 10/10 | 5639 days | 1% |
| Maria_in_HongKong | 10/10 | 5639 days | 1% |
| gtspencer | 10/10 | 5670 days | 1% |
| dgreddy | 10/10 | 5701 days | 1% |
| nancy33 | 10/10 | 5762 days | 1% |
| PrettyPrincess | 10/10 | 5792 days | 1% |
| NawshirMirza | 10/10 | 5884 days | 1% |
| barbarakburtb | 10/10 | 5945 days | 1% |
| clive903 | 10/10 | 6066 days | 1% |
| Carlos | 10/10 | 6066 days | 1% |
| Jody | 10/10 | 6127 days | 1% |
| Holdenluvr | 10/10 | 6341 days | 1% |
| Irina | 10/10 | 6400 days | 1% |
| franz_renate | 10/10 | 6461 days | 1% |
| harpal | 10/10 | 6645 days | 1% |
| enngee | 10/10 | 6827 days | 1% |
| shivaniagarwala | 10/10 | 6919 days | 1% |
| primarosa | 10/10 | 7162 days | 1% |
| gilluncles | 9/10 | 7223 days | 0% |
| Mohan_Leela_KamnaKrishnan | 10/10 | 7406 days | 1% |
Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.
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 Aroha Luxury New Zealand Tours experience has plenty of reviews and does not meet the criteria for any adjustment.
-2.00% Adjustment
There may be an adjustment if this experience hasn't received any reviews within the last 125 days. However the Aroha Luxury New Zealand Tours experience does not meet the criteria for any adjustment.
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 Aroha Luxury New Zealand Tours experience has been adjusted for 200 days. Adjustments are according to the following table.
| Days | Adjustment |
|---|---|
| … | … |
| 197 | -1.97% |
| 198 | -1.98% |
| 199 | -1.99% |
| 200 | -2.00% |
| 201 | -2.01% |
| 202 | -2.02% |
| 203 | -2.03% |
| … | … |
0.29% 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.
97%
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.