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 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

89.56%

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 9/10 165 days 99%
Anita Day 10/10 165 days 100%
Martin 10/10 224 days 99%
Marie 10/10 285 days 97%
Ella 10/10 316 days 96%
Toni 10/10 346 days 95%
Mladen Savov 10/10 589 days 81%
Angie Johnson 9/10 589 days 80%
Cam an 5/10 620 days 60%
Ro 7/10 620 days 73%
rae 9/10 650 days 76%
Krys 9/10 650 days 76%
Cucamest 10/10 681 days 74%
Millie 9/10 711 days 71%
Jill 8/10 834 days 59%
Guest 9/10 864 days 57%
Nadja 10/10 955 days 48%
Dee 7/10 986 days 42%
Brie 6/10 986 days 39%
Ruta 1/10 1016 days 16%
Malcolm Greenhalgh 8/10 1047 days 38%
Jan 8/10 1047 days 38%
Sara 8/10 1108 days 33%
Bobbie 10/10 1139 days 31%
Christa 10/10 1200 days 27%
wvdbos 8/10 1230 days 24%
sarah penney 9/10 1230 days 24%
Steve Hawes 10/10 1261 days 22%
Camila 10/10 1261 days 22%
Joakim 8/10 1289 days 20%
Anya 10/10 1289 days 20%
Odette 10/10 1289 days 20%
Caroline 9/10 1289 days 20%
Kate 9/10 1320 days 18%
Adrian 10/10 1320 days 19%
Geri Ng 10/10 1351 days 17%
Emily 8/10 1381 days 15%
Dave 10/10 1412 days 14%
Laura Jarry 8/10 1412 days 13%
Chloe 8/10 1504 days 9%
Eyisha 7/10 1534 days 8%
Jose 10/10 1626 days 6%
Emma 9/10 1626 days 6%
Lucy 10/10 1685 days 5%
Joe 10/10 1685 days 5%
Roque 10/10 2019 days 3%
Aj 10/10 2111 days 3%
Shannon 10/10 2142 days 3%
Karen 9/10 2172 days 3%
Stefan Hohmann 10/10 2356 days 2%
Merche 9/10 2385 days 2%
Silly American 10/10 2416 days 2%
Gap year 10/10 2447 days 2%
Christina 8/10 2447 days 2%
Jun 9/10 2477 days 2%
Lisa 9/10 2477 days 2%
Bartezz 8/10 2477 days 2%
Ancient Uncle 10/10 2508 days 2%
Marty 8/10 2538 days 2%
Johannes 8/10 2722 days 2%
Georgia Trompf 9/10 2781 days 2%
Trudy Worboys 10/10 2781 days 2%
Liv 10/10 2812 days 2%
The Flip Flop Family 10/10 2902 days 1%
CHA LEMAY 9/10 3056 days 1%
Fivetogether 9/10 3087 days 1%
Muhammad fayadh Mad jamil 8/10 3114 days 1%
Flavia Confalonieri 7/10 3189 days 1%
Lucy Winfield 5/10 3313 days 0%
Nathan Lal 8/10 3319 days 0%
Lucile Gendre 8/10 3409 days 0%
Christine Allgaier 10/10 3462 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

1.06% 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.