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 Lumsden Information Centre.

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

Lumsden Information Centre

Valid Reviews

133 Valid Reviews

The Lumsden Information Centre experience has a total of 139 reviews. There are 133 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.

Within these 133 valid reviews, the experience has 3 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 133 valid reviews:

Rating Count Percentage
10/10 89
67%
9/10 26
20%
8/10 9
7%
7/10 6
5%
6/10 1
1%
5/10 0
0%
4/10 0
0%
3/10 0
0%
2/10 0
0%
1/10 2
2%

93.68% Average

The raw data average (mean) for all the Lumsden Information Centre valid reviews is 93.68% and is based on 133 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

97.68%

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
Jakub 10/10 102 days 100%
Masen 10/10 102 days 100%
Andy 10/10 132 days 100%
Manon 10/10 132 days 100%
Jenda 10/10 224 days 98%
Laurie 10/10 224 days 98%
Nicholas Turner 10/10 285 days 96%
Dan 9/10 316 days 94%
Derek Gillard 10/10 344 days 94%
Patrick 10/10 406 days 91%
Berdien 10/10 406 days 91%
Mladen Savov 10/10 406 days 91%
Fritz 9/10 436 days 89%
Laura 10/10 497 days 86%
parisonchloe@gmail.com 10/10 559 days 82%
Holly 10/10 620 days 78%
Caron 10/10 650 days 76%
Tommy 10/10 650 days 76%
Myrthe Venema 10/10 681 days 74%
Hugo 9/10 681 days 73%
Ana Capucho 10/10 741 days 69%
Lili 10/10 772 days 66%
Danielle Rubio 10/10 772 days 66%
Joe 10/10 802 days 63%
Nina 10/10 802 days 63%
Cholly 9/10 833 days 60%
Marie Perret 8/10 863 days 56%
Sara 10/10 894 days 54%
Anaïs 10/10 955 days 48%
Basil 10/10 986 days 45%
Etoile Rose 10/10 986 days 45%
Tim Mitterer 10/10 1016 days 42%
Simon Wiinberg 10/10 1075 days 37%
Simon Möller 9/10 1075 days 36%
Sandrina 10/10 1106 days 34%
Vish 10/10 1106 days 34%
Tom 10/10 1106 days 34%
Amanda Moreira 10/10 1106 days 34%
Julia 9/10 1137 days 31%
Chris 10/10 1167 days 29%
Chonky Bell 10/10 1167 days 29%
Adrian 10/10 1167 days 29%
Christine 10/10 1198 days 27%
Lara 9/10 1198 days 26%
Broke 8/10 1259 days 22%
Jineesh D 10/10 1351 days 17%
Caroline LEFEVRE 10/10 1351 days 17%
Alicia 10/10 1440 days 13%
EvaBelle 10/10 1502 days 10%
chel 10/10 1624 days 6%
Jeannine Davis 10/10 1655 days 6%
JT & MJ 10/10 1716 days 5%
Valg 10/10 1777 days 4%
Fiona Taylor 7/10 1777 days 4%
Maureen Tate 9/10 1777 days 4%
The Gillies 8/10 1777 days 4%
Jenny 10/10 1805 days 4%
Rey 10/10 1867 days 4%
Teesh K 10/10 1897 days 4%
Rebecca 10/10 1897 days 4%
Sandy 10/10 2020 days 4%
Kate in NZ 10/10 2020 days 4%
Ricardo 10/10 2142 days 3%
Marianna 10/10 2171 days 3%
Jane Lawrence 9/10 2171 days 3%
Linda 8/10 2171 days 3%
Niven 10/10 2171 days 3%
Lee 10/10 2202 days 3%
Dan 10/10 2202 days 3%
Katie 9/10 2233 days 3%
GM 7/10 2233 days 3%
Devin 10/10 2263 days 3%
Anni Heltti 10/10 2285 days 1%
Javier.G 10/10 2294 days 3%
Tania Baird 9/10 2324 days 3%
Keith & Kay Finlayson 10/10 2355 days 3%
braddo 10/10 2355 days 3%
Meri 10/10 2386 days 3%
Jhade 10/10 2386 days 3%
Felix 10/10 2477 days 3%
OA 10/10 2508 days 3%
Kathryn Torkington 1/10 2508 days 0%
Brice 7/10 2508 days 2%
QueeenBeee 10/10 2536 days 3%
Megan Belanger 10/10 2536 days 3%
Franz 10/10 2567 days 2%
Inna 10/10 2567 days 2%
Ashton 9/10 2567 days 2%
Boris Clémençon 10/10 2567 days 2%
JT 10/10 2567 days 2%
Phil 10/10 2598 days 2%
Marilli 10/10 2598 days 2%
Thatdudejosh 10/10 2628 days 2%
Indy 10/10 2628 days 2%
Karo 10/10 2628 days 2%
Jonas R. 10/10 2659 days 2%
Joseph 8/10 2781 days 2%
Florian 10/10 2842 days 2%
Sarah 8/10 2842 days 2%
Jayling 10/10 2873 days 2%
Laura 9/10 2900 days 2%
Clobby 8/10 2901 days 2%
Katharina Pisarew 9/10 2907 days 1%
Luis Vigil Vidal 10/10 2915 days 1%
Dennis Hesse 10/10 2919 days 2%
Tori De 1/10 2932 days 0%
Marketa Weisserová 10/10 2945 days 2%
Yanzhi Cheng 10/10 3007 days 2%
Joe Trigg 9/10 3011 days 2%
Jenny Jaye 10/10 3027 days 2%
Victoria Smith 10/10 3078 days 1%
Poppy Ritchie 10/10 3107 days 1%
Judy Aspinall 9/10 3192 days 1%
Rosanna Leeming 7/10 3253 days 1%
Matt Downey 7/10 3264 days 1%
Frankie Winsor 9/10 3280 days 1%
Lisa Al Agam 10/10 3292 days 1%
Thomas Jan Geelen 6/10 3306 days 1%
Audrey Zarlenga 10/10 3337 days 1%
Theo Mallais 10/10 3379 days 1%
Puneet Mishra 10/10 3382 days 1%
Derek Drost 7/10 3393 days 1%
Simon Liehout 9/10 3418 days 1%
Debbie 9/10 3418 days 1%
Philippa Buchanan 9/10 3474 days 1%
Rita Ashby 8/10 3510 days 1%
Connie Hopper 9/10 3553 days 0%
Tatiana Rochereau 9/10 3562 days 0%
Andre Evers 9/10 3565 days 0%
David Elliott 8/10 3571 days 0%
Goldfinger 9/10 3602 days 0%
Bernadette Arnet 9/10 3609 days 0%
Zdenda Barvinek 9/10 3655 days 0%

Adjustments

No Adjustment

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

Balancing Adjustment

0.19% 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

98%

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.