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

89.78%

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 9/10 232 days 99%
Anita Day 10/10 232 days 100%
Martin 10/10 291 days 98%
Marie 10/10 352 days 96%
Ella 10/10 383 days 94%
Toni 10/10 413 days 93%
Mladen Savov 10/10 656 days 77%
Angie Johnson 9/10 656 days 77%
Cam an 5/10 687 days 57%
Ro 7/10 687 days 70%
rae 9/10 717 days 72%
Krys 9/10 717 days 72%
Cucamest 10/10 748 days 70%
Millie 9/10 778 days 66%
Jill 8/10 901 days 54%
Guest 9/10 931 days 51%
Nadja 10/10 1022 days 42%
Dee 7/10 1053 days 36%
Brie 6/10 1053 days 34%
Ruta 1/10 1083 days 14%
Malcolm Greenhalgh 8/10 1114 days 33%
Jan 8/10 1114 days 33%
Sara 8/10 1175 days 28%
Bobbie 10/10 1206 days 27%
Christa 10/10 1267 days 22%
wvdbos 8/10 1297 days 20%
sarah penney 9/10 1297 days 20%
Steve Hawes 10/10 1328 days 18%
Camila 10/10 1328 days 18%
Joakim 8/10 1356 days 16%
Anya 10/10 1356 days 17%
Odette 10/10 1356 days 17%
Caroline 9/10 1356 days 17%
Kate 9/10 1387 days 15%
Adrian 10/10 1387 days 15%
Geri Ng 10/10 1418 days 14%
Emily 8/10 1448 days 12%
Dave 10/10 1479 days 11%
Laura Jarry 8/10 1479 days 11%
Chloe 8/10 1571 days 7%
Eyisha 7/10 1601 days 6%
Jose 10/10 1693 days 5%
Emma 9/10 1693 days 5%
Lucy 10/10 1752 days 4%
Joe 10/10 1752 days 4%
Roque 10/10 2086 days 3%
Aj 10/10 2178 days 3%
Shannon 10/10 2209 days 3%
Karen 9/10 2239 days 3%
Stefan Hohmann 10/10 2423 days 2%
Merche 9/10 2452 days 2%
Silly American 10/10 2483 days 2%
Gap year 10/10 2514 days 2%
Christina 8/10 2514 days 2%
Jun 9/10 2544 days 2%
Lisa 9/10 2544 days 2%
Bartezz 8/10 2544 days 2%
Ancient Uncle 10/10 2575 days 2%
Marty 8/10 2605 days 2%
Johannes 8/10 2789 days 2%
Georgia Trompf 9/10 2848 days 2%
Trudy Worboys 10/10 2848 days 2%
Liv 10/10 2879 days 2%
The Flip Flop Family 10/10 2969 days 1%
CHA LEMAY 9/10 3123 days 1%
Fivetogether 9/10 3154 days 1%
Muhammad fayadh Mad jamil 8/10 3181 days 1%
Flavia Confalonieri 7/10 3256 days 1%
Lucy Winfield 5/10 3380 days 0%
Nathan Lal 8/10 3386 days 0%
Lucile Gendre 8/10 3476 days 0%
Christine Allgaier 10/10 3529 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

1.03% 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.