Ranking Score Explained

Hey, 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 TECT Park.

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

TECT Park

Valid Reviews

60 Valid Reviews

The TECT Park experience has a total of 61 reviews. There are 60 valid reviews that are included when calculating the ranking score and 1 invalid review 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.

Within these 60 valid reviews, the experience has 2 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 60 valid reviews:

Rating Count Percentage
10/10 31
52%
9/10 16
27%
8/10 10
17%
7/10 1
2%
6/10 1
2%
5/10 1
2%
4/10 0
0%
3/10 0
0%
2/10 0
0%
1/10 0
0%

92.00% Average

The raw data average (mean) for all the TECT Park valid reviews is 92.00% and is based on 60 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

95.95%

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
Dray L 10/10 7 days 100%
Joaie 10/10 69 days 100%
Kirsty 10/10 99 days 99%
Daniel 10/10 160 days 99%
Klaudia 10/10 160 days 99%
Viktoria 10/10 252 days 96%
Lieske 10/10 313 days 94%
Jacinta 9/10 313 days 93%
Sof 10/10 372 days 92%
Rebecca 10/10 372 days 92%
Laura 8/10 403 days 89%
Daniel Carranza 10/10 495 days 86%
Audrey 8/10 495 days 84%
Aaron 9/10 525 days 83%
Rhea Y 10/10 525 days 84%
golden menu 9/10 525 days 83%
cclou 10/10 648 days 76%
Lulu 10/10 709 days 71%
Serena 8/10 2199 days 3%
Fran 9/10 2230 days 3%
Backpack On Fire 10/10 2230 days 3%
Remon 10/10 2291 days 3%
Martin Hansen 10/10 2322 days 3%
Bakers 9/10 2352 days 3%
Shane Howe 10/10 2352 days 3%
Kiwi kamper 8/10 2414 days 3%
Michelle Strydom 10/10 2505 days 3%
Marion & Leonie 9/10 2564 days 3%
Courtney 9/10 2564 days 3%
jcastl 9/10 2656 days 3%
Rikke Hessellund, Denmark 8/10 2901 days 2%
Keith Salway 10/10 2940 days 1%
Kyra Trouw 10/10 2977 days 2%
Annina Jarvinen 5/10 2983 days 1%
Claudie MieZech 10/10 3013 days 2%
Christoper Crowhurst 10/10 3060 days 2%
Greta Ross 8/10 3075 days 2%
Greg Smith 9/10 3122 days 2%
Nathan Lal 9/10 3133 days 2%
Daryl Fletcher 10/10 3158 days 2%
Blossom Yoshida 9/10 3175 days 1%
Lucile Gendre 9/10 3223 days 1%
Nicholas Tranchant 9/10 3230 days 1%
Jana Welsch 10/10 3244 days 1%
Sky Pardoe Davies 8/10 3249 days 1%
Christine Allgaier 10/10 3276 days 1%
Alison Gonscak 10/10 3277 days 1%
Jose Verli 10/10 3404 days 1%
Philipp Jahn 8/10 3425 days 1%
Aidan Byrne 7/10 3434 days 1%
Eric Pollard 10/10 3452 days 1%
Thomas Nix 9/10 3551 days 1%
Peter Barker 10/10 3609 days 1%
Sandra Hamilton 9/10 3621 days 1%
George Bellwood 9/10 3622 days 0%
Philippa and Adam 10/10 3623 days 1%
Nina Jensen 10/10 3669 days 1%
Tomas Soldat 8/10 3690 days 0%
Ahmed Mohsen Aly 8/10 3751 days 0%
Niall Crosby 6/10 3875 days 0%

Adjustments

No Adjustment

Several adjustments to the weighted average may be added to improve relevancy and credibility. TECT Park does not meet the criteria for any of these adjustments to apply.

Balancing Adjustment

0.35% 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

96%

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.