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 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 | 2484 days | 100% |
| Srikant | 10/10 | 2484 days | 100% |
| Meir Boukris | 9/10 | 2545 days | 94% |
| Shravan Shetty | 10/10 | 2576 days | 93% |
| Mariano | 10/10 | 2668 days | 87% |
| Océane | 10/10 | 2729 days | 83% |
| Elyce Rotella | 10/10 | 2790 days | 78% |
| Nir | 10/10 | 2818 days | 76% |
| Lisa Hanline | 10/10 | 2910 days | 70% |
| Jaime G. del Rosario | 10/10 | 2941 days | 67% |
| Bob and Joyce Kroencke, USA | 10/10 | 3155 days | 52% |
| John M | 10/10 | 3213 days | 48% |
| Vivien Kalvaria | 9/10 | 3244 days | 45% |
| Stephen Forte | 10/10 | 3274 days | 44% |
| Christian | 10/10 | 3884 days | 0% |
| gloria tseng | 10/10 | 4585 days | 1% |
| Steven Hucik | 10/10 | 4644 days | 1% |
| Brid Devlin | 9/10 | 4644 days | 1% |
| David McLemore | 10/10 | 4644 days | 1% |
| Carrie | 10/10 | 4644 days | 1% |
| Ed | 10/10 | 4675 days | 1% |
| reviewer | 10/10 | 4706 days | 1% |
| Felicia Ng | 10/10 | 4736 days | 1% |
| Timmy & Megan | 10/10 | 4736 days | 1% |
| Christian | 10/10 | 4736 days | 1% |
| anton prawira | 9/10 | 4828 days | 1% |
| june isono | 9/10 | 4859 days | 1% |
| Cynthia Nardelli | 10/10 | 4859 days | 1% |
| angeline_ang | 9/10 | 4889 days | 1% |
| Alex London | 8/10 | 4981 days | 0% |
| Sharon K | 10/10 | 4981 days | 1% |
| Terry Bryk | 10/10 | 5009 days | 1% |
| Philips | 10/10 | 5040 days | 1% |
| scott | 10/10 | 5071 days | 1% |
| Courtney1 | 10/10 | 5132 days | 1% |
| aurbanes | 10/10 | 5193 days | 1% |
| joanhsieh | 10/10 | 5224 days | 1% |
| Varda Mehta | 10/10 | 5224 days | 1% |
| raminderrayar | 10/10 | 5285 days | 1% |
| PegTraveller | 10/10 | 5285 days | 1% |
| Shaunhk | 10/10 | 5315 days | 1% |
| arlenemattera | 10/10 | 5315 days | 1% |
| MBaum735 | 10/10 | 5346 days | 1% |
| terig | 10/10 | 5375 days | 1% |
| tfeng | 9/10 | 5375 days | 1% |
| james09173 | 10/10 | 5467 days | 1% |
| Lei | 10/10 | 5528 days | 1% |
| shlomo iager | 10/10 | 5528 days | 1% |
| gigirup | 10/10 | 5528 days | 1% |
| pinecliffs | 10/10 | 5740 days | 1% |
| GiancarloB | 10/10 | 5740 days | 1% |
| Maria_in_HongKong | 10/10 | 5740 days | 1% |
| gtspencer | 10/10 | 5771 days | 1% |
| dgreddy | 10/10 | 5802 days | 1% |
| nancy33 | 10/10 | 5863 days | 1% |
| PrettyPrincess | 10/10 | 5893 days | 1% |
| NawshirMirza | 10/10 | 5985 days | 1% |
| barbarakburtb | 10/10 | 6046 days | 1% |
| clive903 | 10/10 | 6167 days | 1% |
| Carlos | 10/10 | 6167 days | 1% |
| Jody | 10/10 | 6228 days | 1% |
| Holdenluvr | 10/10 | 6442 days | 1% |
| Irina | 10/10 | 6501 days | 1% |
| franz_renate | 10/10 | 6562 days | 1% |
| harpal | 10/10 | 6746 days | 1% |
| enngee | 10/10 | 6928 days | 1% |
| shivaniagarwala | 10/10 | 7020 days | 1% |
| primarosa | 10/10 | 7263 days | 1% |
| gilluncles | 9/10 | 7324 days | 1% |
| Mohan_Leela_KamnaKrishnan | 10/10 | 7507 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.
-3.66% Adjustment
There may be an adjustment if this experience hasn't received any reviews within the last 57 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 | -3.60% |
| 198 | -3.62% |
| 199 | -3.64% |
| 200 | -3.66% |
| 201 | -3.68% |
| 202 | -3.70% |
| 203 | -3.71% |
| … | … |
0.44% 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.
95%
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.