Ranking Score Explained

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

89.29%

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 71 days 99%
Anita Day 10/10 71 days 100%
Martin 10/10 130 days 99%
Marie 10/10 191 days 98%
Ella 10/10 222 days 97%
Toni 10/10 252 days 97%
Mladen Savov 10/10 495 days 86%
Angie Johnson 9/10 495 days 85%
Cam an 5/10 526 days 64%
Ro 7/10 526 days 78%
rae 9/10 556 days 81%
Krys 9/10 556 days 81%
Cucamest 10/10 587 days 80%
Millie 9/10 617 days 77%
Jill 8/10 740 days 67%
Guest 9/10 770 days 65%
Nadja 10/10 861 days 57%
Dee 7/10 892 days 50%
Brie 6/10 892 days 46%
Ruta 1/10 922 days 20%
Malcolm Greenhalgh 8/10 953 days 47%
Jan 8/10 953 days 47%
Sara 8/10 1014 days 41%
Bobbie 10/10 1045 days 39%
Christa 10/10 1106 days 33%
wvdbos 8/10 1136 days 30%
sarah penney 9/10 1136 days 31%
Steve Hawes 10/10 1167 days 29%
Camila 10/10 1167 days 29%
Joakim 8/10 1195 days 26%
Anya 10/10 1195 days 26%
Odette 10/10 1195 days 26%
Caroline 9/10 1195 days 26%
Kate 9/10 1226 days 24%
Adrian 10/10 1226 days 24%
Geri Ng 10/10 1257 days 22%
Emily 8/10 1287 days 20%
Dave 10/10 1318 days 18%
Laura Jarry 8/10 1318 days 18%
Chloe 8/10 1410 days 13%
Eyisha 7/10 1440 days 11%
Jose 10/10 1532 days 8%
Emma 9/10 1532 days 8%
Lucy 10/10 1591 days 7%
Joe 10/10 1591 days 7%
Roque 10/10 1925 days 3%
Aj 10/10 2017 days 3%
Shannon 10/10 2048 days 3%
Karen 9/10 2078 days 3%
Stefan Hohmann 10/10 2262 days 2%
Merche 9/10 2291 days 2%
Silly American 10/10 2322 days 2%
Gap year 10/10 2353 days 2%
Christina 8/10 2353 days 2%
Jun 9/10 2383 days 2%
Lisa 9/10 2383 days 2%
Bartezz 8/10 2383 days 2%
Ancient Uncle 10/10 2414 days 2%
Marty 8/10 2444 days 2%
Johannes 8/10 2628 days 2%
Georgia Trompf 9/10 2687 days 2%
Trudy Worboys 10/10 2687 days 2%
Liv 10/10 2718 days 2%
The Flip Flop Family 10/10 2809 days 1%
CHA LEMAY 9/10 2962 days 1%
Fivetogether 9/10 2993 days 1%
Muhammad fayadh Mad jamil 8/10 3021 days 1%
Flavia Confalonieri 7/10 3095 days 1%
Lucy Winfield 5/10 3219 days 0%
Nathan Lal 8/10 3225 days 0%
Lucile Gendre 8/10 3315 days 0%
Christine Allgaier 10/10 3368 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

1.10% 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.