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

96.62%

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 71 days 100%
Dray L 10/10 99 days 100%
An 10/10 99 days 100%
Rebecca S 10/10 99 days 100%
Joaie 10/10 161 days 99%
Kirsty 10/10 191 days 98%
Daniel 10/10 252 days 97%
Klaudia 10/10 252 days 97%
Viktoria 10/10 344 days 93%
Lieske 10/10 405 days 91%
Jacinta 9/10 405 days 90%
Sof 10/10 464 days 88%
Rebecca 10/10 464 days 88%
Laura 8/10 495 days 84%
Daniel Carranza 10/10 587 days 80%
Audrey 8/10 587 days 79%
Aaron 9/10 617 days 78%
Rhea Y 10/10 617 days 78%
golden menu 9/10 617 days 78%
cclou 10/10 740 days 69%
Lulu 10/10 801 days 63%
Serena 8/10 2291 days 3%
Fran 9/10 2322 days 3%
Backpack On Fire 10/10 2322 days 3%
Remon 10/10 2383 days 3%
Martin Hansen 10/10 2414 days 3%
Bakers 9/10 2444 days 3%
Shane Howe 10/10 2444 days 3%
Kiwi kamper 8/10 2506 days 3%
Michelle Strydom 10/10 2597 days 3%
Marion & Leonie 9/10 2656 days 3%
Courtney 9/10 2656 days 3%
jcastl 9/10 2748 days 2%
Rikke Hessellund, Denmark 8/10 2993 days 2%
Keith Salway 10/10 3032 days 1%
Kyra Trouw 10/10 3069 days 2%
Annina Jarvinen 5/10 3075 days 1%
Claudie MieZech 10/10 3105 days 2%
Christoper Crowhurst 10/10 3152 days 2%
Greta Ross 8/10 3167 days 2%
Greg Smith 9/10 3214 days 2%
Nathan Lal 9/10 3225 days 2%
Daryl Fletcher 10/10 3250 days 2%
Blossom Yoshida 9/10 3267 days 1%
Lucile Gendre 9/10 3315 days 1%
Nicholas Tranchant 9/10 3322 days 1%
Jana Welsch 10/10 3336 days 1%
Sky Pardoe Davies 8/10 3341 days 1%
Christine Allgaier 10/10 3368 days 1%
Alison Gonscak 10/10 3369 days 1%
Jose Verli 10/10 3496 days 1%
Philipp Jahn 8/10 3517 days 1%
Aidan Byrne 7/10 3526 days 1%
Eric Pollard 10/10 3544 days 1%
Thomas Nix 9/10 3643 days 1%
Peter Barker 10/10 3701 days 1%
Sandra Hamilton 9/10 3713 days 1%
George Bellwood 9/10 3714 days 0%
Philippa and Adam 10/10 3715 days 1%
Nina Jensen 10/10 3761 days 1%
Tomas Soldat 8/10 3782 days 0%
Ahmed Mohsen Aly 8/10 3843 days 0%
Niall Crosby 6/10 3966 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.