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 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 66 days 100%
Masen 10/10 66 days 100%
Andy 10/10 96 days 100%
Manon 10/10 96 days 100%
Jenda 10/10 188 days 98%
Laurie 10/10 188 days 98%
Nicholas Turner 10/10 249 days 97%
Dan 9/10 280 days 95%
Derek Gillard 10/10 308 days 95%
Patrick 10/10 370 days 92%
Berdien 10/10 370 days 92%
Mladen Savov 10/10 370 days 92%
Fritz 9/10 400 days 90%
Laura 10/10 461 days 88%
parisonchloe@gmail.com 10/10 523 days 84%
Holly 10/10 584 days 81%
Caron 10/10 614 days 78%
Tommy 10/10 614 days 78%
Myrthe Venema 10/10 645 days 76%
Hugo 9/10 645 days 75%
Ana Capucho 10/10 705 days 71%
Lili 10/10 736 days 69%
Danielle Rubio 10/10 736 days 69%
Joe 10/10 766 days 66%
Nina 10/10 766 days 66%
Cholly 9/10 797 days 63%
Marie Perret 8/10 827 days 59%
Sara 10/10 858 days 58%
Anaïs 10/10 919 days 51%
Basil 10/10 950 days 48%
Etoile Rose 10/10 950 days 48%
Tim Mitterer 10/10 980 days 45%
Simon Wiinberg 10/10 1039 days 40%
Simon Möller 9/10 1039 days 39%
Sandrina 10/10 1070 days 37%
Vish 10/10 1070 days 37%
Tom 10/10 1070 days 37%
Amanda Moreira 10/10 1070 days 37%
Julia 9/10 1101 days 34%
Chris 10/10 1131 days 32%
Chonky Bell 10/10 1131 days 32%
Adrian 10/10 1131 days 32%
Christine 10/10 1162 days 29%
Lara 9/10 1162 days 29%
Broke 8/10 1223 days 24%
Jineesh D 10/10 1315 days 19%
Caroline LEFEVRE 10/10 1315 days 19%
Alicia 10/10 1404 days 14%
EvaBelle 10/10 1466 days 11%
chel 10/10 1588 days 7%
Jeannine Davis 10/10 1619 days 6%
JT & MJ 10/10 1680 days 5%
Valg 10/10 1741 days 4%
Fiona Taylor 7/10 1741 days 4%
Maureen Tate 9/10 1741 days 4%
The Gillies 8/10 1741 days 4%
Jenny 10/10 1769 days 4%
Rey 10/10 1831 days 4%
Teesh K 10/10 1861 days 4%
Rebecca 10/10 1861 days 4%
Sandy 10/10 1984 days 4%
Kate in NZ 10/10 1984 days 4%
Ricardo 10/10 2106 days 3%
Marianna 10/10 2135 days 3%
Jane Lawrence 9/10 2135 days 3%
Linda 8/10 2135 days 3%
Niven 10/10 2135 days 3%
Lee 10/10 2166 days 3%
Dan 10/10 2166 days 3%
Katie 9/10 2197 days 3%
GM 7/10 2197 days 3%
Devin 10/10 2227 days 3%
Anni Heltti 10/10 2249 days 1%
Javier.G 10/10 2258 days 3%
Tania Baird 9/10 2288 days 3%
Keith & Kay Finlayson 10/10 2319 days 3%
braddo 10/10 2319 days 3%
Meri 10/10 2350 days 3%
Jhade 10/10 2350 days 3%
Felix 10/10 2441 days 3%
OA 10/10 2472 days 3%
Kathryn Torkington 1/10 2472 days 0%
Brice 7/10 2472 days 2%
QueeenBeee 10/10 2500 days 3%
Megan Belanger 10/10 2500 days 3%
Franz 10/10 2531 days 2%
Inna 10/10 2531 days 2%
Ashton 9/10 2531 days 2%
Boris Clémençon 10/10 2531 days 2%
JT 10/10 2531 days 2%
Phil 10/10 2562 days 2%
Marilli 10/10 2562 days 2%
Thatdudejosh 10/10 2592 days 2%
Indy 10/10 2592 days 2%
Karo 10/10 2592 days 2%
Jonas R. 10/10 2623 days 2%
Joseph 8/10 2745 days 2%
Florian 10/10 2806 days 2%
Sarah 8/10 2806 days 2%
Jayling 10/10 2837 days 2%
Laura 9/10 2864 days 2%
Clobby 8/10 2865 days 2%
Katharina Pisarew 9/10 2871 days 1%
Luis Vigil Vidal 10/10 2879 days 1%
Dennis Hesse 10/10 2883 days 2%
Tori De 1/10 2896 days 0%
Marketa Weisserová 10/10 2909 days 2%
Yanzhi Cheng 10/10 2971 days 2%
Joe Trigg 9/10 2975 days 2%
Jenny Jaye 10/10 2991 days 2%
Victoria Smith 10/10 3042 days 1%
Poppy Ritchie 10/10 3071 days 1%
Judy Aspinall 9/10 3156 days 1%
Rosanna Leeming 7/10 3217 days 1%
Matt Downey 7/10 3228 days 1%
Frankie Winsor 9/10 3244 days 1%
Lisa Al Agam 10/10 3256 days 1%
Thomas Jan Geelen 6/10 3270 days 1%
Audrey Zarlenga 10/10 3301 days 1%
Theo Mallais 10/10 3343 days 1%
Puneet Mishra 10/10 3346 days 1%
Derek Drost 7/10 3357 days 1%
Simon Liehout 9/10 3382 days 1%
Debbie 9/10 3382 days 1%
Philippa Buchanan 9/10 3438 days 1%
Rita Ashby 8/10 3474 days 1%
Connie Hopper 9/10 3517 days 1%
Tatiana Rochereau 9/10 3526 days 0%
Andre Evers 9/10 3529 days 0%
David Elliott 8/10 3535 days 0%
Goldfinger 9/10 3566 days 0%
Bernadette Arnet 9/10 3573 days 0%
Zdenda Barvinek 9/10 3619 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.