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 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

63 Valid Reviews

The TECT Park experience has a total of 64 reviews. There are 63 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 63 valid reviews, the experience has 2 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 63 valid reviews:

Rating Count Percentage
10/10 34
54%
9/10 16
25%
8/10 10
16%
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%

92.38% Average

The raw data average (mean) for all the TECT Park valid reviews is 92.38% and is based on 63 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

96.59%

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
Danni H 10/10 30 days 100%
Dray L 10/10 58 days 100%
An 10/10 58 days 100%
Rebecca S 10/10 58 days 100%
Joaie 10/10 120 days 99%
Kirsty 10/10 150 days 99%
Daniel 10/10 211 days 97%
Klaudia 10/10 211 days 97%
Viktoria 10/10 303 days 95%
Lieske 10/10 364 days 92%
Jacinta 9/10 364 days 92%
Sof 10/10 423 days 90%
Rebecca 10/10 423 days 90%
Laura 8/10 454 days 86%
Daniel Carranza 10/10 546 days 83%
Audrey 8/10 546 days 81%
Aaron 9/10 576 days 80%
Rhea Y 10/10 576 days 81%
golden menu 9/10 576 days 80%
cclou 10/10 699 days 72%
Lulu 10/10 760 days 67%
Serena 8/10 2250 days 3%
Fran 9/10 2281 days 3%
Backpack On Fire 10/10 2281 days 3%
Remon 10/10 2342 days 3%
Martin Hansen 10/10 2373 days 3%
Bakers 9/10 2403 days 3%
Shane Howe 10/10 2403 days 3%
Kiwi kamper 8/10 2465 days 3%
Michelle Strydom 10/10 2556 days 3%
Marion & Leonie 9/10 2615 days 3%
Courtney 9/10 2615 days 3%
jcastl 9/10 2707 days 2%
Rikke Hessellund, Denmark 8/10 2952 days 2%
Keith Salway 10/10 2991 days 1%
Kyra Trouw 10/10 3028 days 2%
Annina Jarvinen 5/10 3034 days 1%
Claudie MieZech 10/10 3064 days 2%
Christoper Crowhurst 10/10 3111 days 2%
Greta Ross 8/10 3126 days 2%
Greg Smith 9/10 3173 days 2%
Nathan Lal 9/10 3184 days 2%
Daryl Fletcher 10/10 3209 days 2%
Blossom Yoshida 9/10 3226 days 1%
Lucile Gendre 9/10 3274 days 1%
Nicholas Tranchant 9/10 3281 days 1%
Jana Welsch 10/10 3295 days 1%
Sky Pardoe Davies 8/10 3300 days 1%
Christine Allgaier 10/10 3327 days 1%
Alison Gonscak 10/10 3328 days 1%
Jose Verli 10/10 3455 days 1%
Philipp Jahn 8/10 3476 days 1%
Aidan Byrne 7/10 3485 days 1%
Eric Pollard 10/10 3503 days 1%
Thomas Nix 9/10 3602 days 1%
Peter Barker 10/10 3660 days 1%
Sandra Hamilton 9/10 3672 days 1%
George Bellwood 9/10 3673 days 0%
Philippa and Adam 10/10 3674 days 1%
Nina Jensen 10/10 3720 days 1%
Tomas Soldat 8/10 3741 days 0%
Ahmed Mohsen Aly 8/10 3802 days 0%
Niall Crosby 6/10 3926 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

0.29% 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

97%

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.