Kia ora, 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

89.46%

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 9/10 131 days 99%
Anita Day 10/10 131 days 100%
Martin 10/10 190 days 99%
Marie 10/10 251 days 97%
Ella 10/10 282 days 96%
Toni 10/10 312 days 95%
Mladen Savov 10/10 555 days 83%
Angie Johnson 9/10 555 days 82%
Cam an 5/10 586 days 61%
Ro 7/10 586 days 75%
rae 9/10 616 days 78%
Krys 9/10 616 days 78%
Cucamest 10/10 647 days 76%
Millie 9/10 677 days 73%
Jill 8/10 800 days 62%
Guest 9/10 830 days 60%
Nadja 10/10 921 days 51%
Dee 7/10 952 days 45%
Brie 6/10 952 days 41%
Ruta 1/10 982 days 17%
Malcolm Greenhalgh 8/10 1013 days 41%
Jan 8/10 1013 days 41%
Sara 8/10 1074 days 36%
Bobbie 10/10 1105 days 34%
Christa 10/10 1166 days 29%
wvdbos 8/10 1196 days 26%
sarah penney 9/10 1196 days 26%
Steve Hawes 10/10 1227 days 24%
Camila 10/10 1227 days 24%
Joakim 8/10 1255 days 22%
Anya 10/10 1255 days 22%
Odette 10/10 1255 days 22%
Caroline 9/10 1255 days 22%
Kate 9/10 1286 days 20%
Adrian 10/10 1286 days 20%
Geri Ng 10/10 1317 days 19%
Emily 8/10 1347 days 16%
Dave 10/10 1378 days 15%
Laura Jarry 8/10 1378 days 15%
Chloe 8/10 1470 days 11%
Eyisha 7/10 1500 days 9%
Jose 10/10 1592 days 7%
Emma 9/10 1592 days 7%
Lucy 10/10 1651 days 5%
Joe 10/10 1651 days 5%
Roque 10/10 1985 days 3%
Aj 10/10 2077 days 3%
Shannon 10/10 2108 days 3%
Karen 9/10 2138 days 3%
Stefan Hohmann 10/10 2322 days 2%
Merche 9/10 2351 days 2%
Silly American 10/10 2382 days 2%
Gap year 10/10 2413 days 2%
Christina 8/10 2413 days 2%
Jun 9/10 2443 days 2%
Lisa 9/10 2443 days 2%
Bartezz 8/10 2443 days 2%
Ancient Uncle 10/10 2474 days 2%
Marty 8/10 2504 days 2%
Johannes 8/10 2688 days 2%
Georgia Trompf 9/10 2747 days 2%
Trudy Worboys 10/10 2747 days 2%
Liv 10/10 2778 days 2%
The Flip Flop Family 10/10 2869 days 1%
CHA LEMAY 9/10 3022 days 1%
Fivetogether 9/10 3053 days 1%
Muhammad fayadh Mad jamil 8/10 3081 days 1%
Flavia Confalonieri 7/10 3155 days 1%
Lucy Winfield 5/10 3279 days 0%
Nathan Lal 8/10 3285 days 0%
Lucile Gendre 8/10 3375 days 0%
Christine Allgaier 10/10 3428 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

1.07% 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

91%

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.