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 Te Kauwhata Domain.

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.

Cymen Crick's avatar

Cymen Crick

Rankers Owner

Te Kauwhata Domain

Valid Reviews

72 Valid Reviews

The Te Kauwhata Domain experience has a total of 78 reviews. There are 72 valid reviews that are included when calculating the ranking score and 6 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 72 valid reviews:

Rating Count Percentage
10/10 31
43%
9/10 17
24%
8/10 16
22%
7/10 4
6%
6/10 1
1%
5/10 2
3%
4/10 0
0%
3/10 0
0%
2/10 0
0%
1/10 1
1%

88.33% Average

The raw data average (mean) for all the Te Kauwhata Domain valid reviews is 88.33% and is based on 72 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

89.40%

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
Borrmaschine 9/10 111 days 99%
Anita Day 10/10 111 days 100%
Martin 10/10 170 days 99%
Marie 10/10 231 days 98%
Ella 10/10 262 days 97%
Toni 10/10 292 days 96%
Mladen Savov 10/10 535 days 84%
Angie Johnson 9/10 535 days 83%
Cam an 5/10 566 days 62%
Ro 7/10 566 days 76%
rae 9/10 596 days 79%
Krys 9/10 596 days 79%
Cucamest 10/10 627 days 78%
Millie 9/10 657 days 75%
Jill 8/10 780 days 64%
Guest 9/10 810 days 62%
Nadja 10/10 901 days 53%
Dee 7/10 932 days 46%
Brie 6/10 932 days 43%
Ruta 1/10 962 days 18%
Malcolm Greenhalgh 8/10 993 days 43%
Jan 8/10 993 days 43%
Sara 8/10 1054 days 37%
Bobbie 10/10 1085 days 35%
Christa 10/10 1146 days 30%
wvdbos 8/10 1176 days 27%
sarah penney 9/10 1176 days 28%
Steve Hawes 10/10 1207 days 26%
Camila 10/10 1207 days 26%
Joakim 8/10 1235 days 23%
Anya 10/10 1235 days 24%
Odette 10/10 1235 days 24%
Caroline 9/10 1235 days 23%
Kate 9/10 1266 days 21%
Adrian 10/10 1266 days 22%
Geri Ng 10/10 1297 days 20%
Emily 8/10 1327 days 18%
Dave 10/10 1358 days 16%
Laura Jarry 8/10 1358 days 16%
Chloe 8/10 1450 days 11%
Eyisha 7/10 1480 days 10%
Jose 10/10 1572 days 7%
Emma 9/10 1572 days 7%
Lucy 10/10 1631 days 6%
Joe 10/10 1631 days 6%
Roque 10/10 1965 days 3%
Aj 10/10 2057 days 3%
Shannon 10/10 2088 days 3%
Karen 9/10 2118 days 3%
Stefan Hohmann 10/10 2302 days 2%
Merche 9/10 2331 days 2%
Silly American 10/10 2362 days 2%
Gap year 10/10 2393 days 2%
Christina 8/10 2393 days 2%
Jun 9/10 2423 days 2%
Lisa 9/10 2423 days 2%
Bartezz 8/10 2423 days 2%
Ancient Uncle 10/10 2454 days 2%
Marty 8/10 2484 days 2%
Johannes 8/10 2668 days 2%
Georgia Trompf 9/10 2727 days 2%
Trudy Worboys 10/10 2727 days 2%
Liv 10/10 2758 days 2%
The Flip Flop Family 10/10 2849 days 1%
CHA LEMAY 9/10 3002 days 1%
Fivetogether 9/10 3033 days 1%
Muhammad fayadh Mad jamil 8/10 3061 days 1%
Flavia Confalonieri 7/10 3135 days 1%
Lucy Winfield 5/10 3259 days 0%
Nathan Lal 8/10 3265 days 0%
Lucile Gendre 8/10 3355 days 0%
Christine Allgaier 10/10 3408 days 0%

Adjustments

No Adjustment

Several adjustments to the weighted average may be added to improve relevancy and credibility. Te Kauwhata Domain does not meet the criteria for any of these adjustments to apply.

Balancing Adjustment

1.08% 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.

Final Ranking Score

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.