Ranking Score Explained

G'day, 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

97.66%

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 64 days 100%
Masen 10/10 64 days 100%
Andy 10/10 94 days 100%
Manon 10/10 94 days 100%
Jenda 10/10 186 days 98%
Laurie 10/10 186 days 98%
Nicholas Turner 10/10 247 days 97%
Dan 9/10 278 days 95%
Derek Gillard 10/10 306 days 95%
Patrick 10/10 368 days 92%
Berdien 10/10 368 days 92%
Mladen Savov 10/10 368 days 92%
Fritz 9/10 398 days 90%
Laura 10/10 459 days 88%
parisonchloe@gmail.com 10/10 521 days 85%
Holly 10/10 582 days 81%
Caron 10/10 612 days 79%
Tommy 10/10 612 days 79%
Myrthe Venema 10/10 643 days 76%
Hugo 9/10 643 days 76%
Ana Capucho 10/10 703 days 72%
Lili 10/10 734 days 69%
Danielle Rubio 10/10 734 days 69%
Joe 10/10 764 days 66%
Nina 10/10 764 days 66%
Cholly 9/10 795 days 63%
Marie Perret 8/10 825 days 60%
Sara 10/10 856 days 58%
Anaïs 10/10 917 days 52%
Basil 10/10 948 days 48%
Etoile Rose 10/10 948 days 48%
Tim Mitterer 10/10 978 days 45%
Simon Wiinberg 10/10 1037 days 40%
Simon Möller 9/10 1037 days 39%
Sandrina 10/10 1068 days 37%
Vish 10/10 1068 days 37%
Tom 10/10 1068 days 37%
Amanda Moreira 10/10 1068 days 37%
Julia 9/10 1099 days 34%
Chris 10/10 1129 days 32%
Chonky Bell 10/10 1129 days 32%
Adrian 10/10 1129 days 32%
Christine 10/10 1160 days 29%
Lara 9/10 1160 days 29%
Broke 8/10 1221 days 24%
Jineesh D 10/10 1313 days 19%
Caroline LEFEVRE 10/10 1313 days 19%
Alicia 10/10 1402 days 14%
EvaBelle 10/10 1464 days 11%
chel 10/10 1586 days 7%
Jeannine Davis 10/10 1617 days 6%
JT & MJ 10/10 1678 days 5%
Valg 10/10 1739 days 4%
Fiona Taylor 7/10 1739 days 4%
Maureen Tate 9/10 1739 days 4%
The Gillies 8/10 1739 days 4%
Jenny 10/10 1767 days 4%
Rey 10/10 1829 days 4%
Teesh K 10/10 1859 days 4%
Rebecca 10/10 1859 days 4%
Sandy 10/10 1982 days 4%
Kate in NZ 10/10 1982 days 4%
Ricardo 10/10 2104 days 3%
Marianna 10/10 2133 days 3%
Jane Lawrence 9/10 2133 days 3%
Linda 8/10 2133 days 3%
Niven 10/10 2133 days 3%
Lee 10/10 2164 days 3%
Dan 10/10 2164 days 3%
Katie 9/10 2195 days 3%
GM 7/10 2195 days 3%
Devin 10/10 2225 days 3%
Anni Heltti 10/10 2247 days 1%
Javier.G 10/10 2256 days 3%
Tania Baird 9/10 2286 days 3%
Keith & Kay Finlayson 10/10 2317 days 3%
braddo 10/10 2317 days 3%
Meri 10/10 2348 days 3%
Jhade 10/10 2348 days 3%
Felix 10/10 2439 days 3%
OA 10/10 2470 days 3%
Kathryn Torkington 1/10 2470 days 0%
Brice 7/10 2470 days 2%
QueeenBeee 10/10 2498 days 3%
Megan Belanger 10/10 2498 days 3%
Franz 10/10 2529 days 2%
Inna 10/10 2529 days 2%
Ashton 9/10 2529 days 2%
Boris Clémençon 10/10 2529 days 2%
JT 10/10 2529 days 2%
Phil 10/10 2560 days 2%
Marilli 10/10 2560 days 2%
Thatdudejosh 10/10 2590 days 2%
Indy 10/10 2590 days 2%
Karo 10/10 2590 days 2%
Jonas R. 10/10 2621 days 2%
Joseph 8/10 2743 days 2%
Florian 10/10 2804 days 2%
Sarah 8/10 2804 days 2%
Jayling 10/10 2835 days 2%
Laura 9/10 2863 days 2%
Clobby 8/10 2863 days 2%
Katharina Pisarew 9/10 2869 days 1%
Luis Vigil Vidal 10/10 2877 days 1%
Dennis Hesse 10/10 2881 days 2%
Tori De 1/10 2894 days 0%
Marketa Weisserová 10/10 2907 days 2%
Yanzhi Cheng 10/10 2969 days 2%
Joe Trigg 9/10 2973 days 2%
Jenny Jaye 10/10 2989 days 2%
Victoria Smith 10/10 3040 days 1%
Poppy Ritchie 10/10 3069 days 1%
Judy Aspinall 9/10 3154 days 1%
Rosanna Leeming 7/10 3215 days 1%
Matt Downey 7/10 3226 days 1%
Frankie Winsor 9/10 3242 days 1%
Lisa Al Agam 10/10 3254 days 1%
Thomas Jan Geelen 6/10 3268 days 1%
Audrey Zarlenga 10/10 3299 days 1%
Theo Mallais 10/10 3341 days 1%
Puneet Mishra 10/10 3344 days 1%
Derek Drost 7/10 3355 days 1%
Simon Liehout 9/10 3381 days 1%
Debbie 9/10 3381 days 1%
Philippa Buchanan 9/10 3436 days 1%
Rita Ashby 8/10 3473 days 1%
Connie Hopper 9/10 3515 days 1%
Tatiana Rochereau 9/10 3524 days 0%
Andre Evers 9/10 3527 days 0%
David Elliott 8/10 3534 days 0%
Goldfinger 9/10 3565 days 0%
Bernadette Arnet 9/10 3571 days 0%
Zdenda Barvinek 9/10 3617 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.