G'day, 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

89.71%

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 9/10 211 days 99%
Anita Day 10/10 211 days 100%
Martin 10/10 270 days 98%
Marie 10/10 331 days 96%
Ella 10/10 362 days 95%
Toni 10/10 392 days 94%
Mladen Savov 10/10 635 days 79%
Angie Johnson 9/10 635 days 78%
Cam an 5/10 666 days 58%
Ro 7/10 666 days 71%
rae 9/10 696 days 73%
Krys 9/10 696 days 73%
Cucamest 10/10 727 days 71%
Millie 9/10 757 days 68%
Jill 8/10 880 days 55%
Guest 9/10 910 days 53%
Nadja 10/10 1001 days 44%
Dee 7/10 1032 days 38%
Brie 6/10 1032 days 35%
Ruta 1/10 1062 days 15%
Malcolm Greenhalgh 8/10 1093 days 35%
Jan 8/10 1093 days 35%
Sara 8/10 1154 days 30%
Bobbie 10/10 1185 days 28%
Christa 10/10 1246 days 24%
wvdbos 8/10 1276 days 21%
sarah penney 9/10 1276 days 21%
Steve Hawes 10/10 1307 days 20%
Camila 10/10 1307 days 20%
Joakim 8/10 1335 days 18%
Anya 10/10 1335 days 18%
Odette 10/10 1335 days 18%
Caroline 9/10 1335 days 18%
Kate 9/10 1366 days 16%
Adrian 10/10 1366 days 16%
Geri Ng 10/10 1397 days 15%
Emily 8/10 1427 days 13%
Dave 10/10 1458 days 12%
Laura Jarry 8/10 1458 days 11%
Chloe 8/10 1550 days 8%
Eyisha 7/10 1580 days 7%
Jose 10/10 1672 days 5%
Emma 9/10 1672 days 5%
Lucy 10/10 1731 days 4%
Joe 10/10 1731 days 4%
Roque 10/10 2065 days 3%
Aj 10/10 2157 days 3%
Shannon 10/10 2188 days 3%
Karen 9/10 2218 days 3%
Stefan Hohmann 10/10 2402 days 2%
Merche 9/10 2431 days 2%
Silly American 10/10 2462 days 2%
Gap year 10/10 2493 days 2%
Christina 8/10 2493 days 2%
Jun 9/10 2523 days 2%
Lisa 9/10 2523 days 2%
Bartezz 8/10 2523 days 2%
Ancient Uncle 10/10 2554 days 2%
Marty 8/10 2584 days 2%
Johannes 8/10 2768 days 2%
Georgia Trompf 9/10 2827 days 2%
Trudy Worboys 10/10 2827 days 2%
Liv 10/10 2858 days 2%
The Flip Flop Family 10/10 2949 days 1%
CHA LEMAY 9/10 3102 days 1%
Fivetogether 9/10 3133 days 1%
Muhammad fayadh Mad jamil 8/10 3161 days 1%
Flavia Confalonieri 7/10 3235 days 1%
Lucy Winfield 5/10 3359 days 0%
Nathan Lal 8/10 3365 days 0%
Lucile Gendre 8/10 3455 days 0%
Christine Allgaier 10/10 3508 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

1.04% 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.