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 138 reviews. There are 133 valid reviews that are included when calculating the ranking score and 5 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

97.69%

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 10/10 132 days 100%
Masen 10/10 132 days 100%
Andy 10/10 162 days 99%
Manon 10/10 162 days 99%
Jenda 10/10 254 days 97%
Laurie 10/10 254 days 97%
Nicholas Turner 10/10 315 days 95%
Dan 9/10 346 days 93%
Derek Gillard 10/10 374 days 93%
Patrick 10/10 436 days 90%
Berdien 10/10 436 days 90%
Mladen Savov 10/10 436 days 90%
Fritz 9/10 466 days 87%
Laura 10/10 527 days 85%
parisonchloe@gmail.com 10/10 589 days 81%
Holly 10/10 650 days 76%
Caron 10/10 680 days 74%
Tommy 10/10 680 days 74%
Myrthe Venema 10/10 711 days 72%
Hugo 9/10 711 days 71%
Ana Capucho 10/10 771 days 66%
Lili 10/10 802 days 64%
Danielle Rubio 10/10 802 days 64%
Joe 10/10 832 days 61%
Nina 10/10 832 days 61%
Cholly 9/10 863 days 57%
Marie Perret 8/10 893 days 53%
Sara 10/10 924 days 51%
Anaïs 10/10 985 days 45%
Basil 10/10 1016 days 42%
Etoile Rose 10/10 1016 days 42%
Tim Mitterer 10/10 1046 days 39%
Simon Wiinberg 10/10 1105 days 34%
Simon Möller 9/10 1105 days 34%
Sandrina 10/10 1136 days 32%
Vish 10/10 1136 days 32%
Tom 10/10 1136 days 32%
Amanda Moreira 10/10 1136 days 32%
Julia 9/10 1167 days 29%
Chris 10/10 1197 days 27%
Chonky Bell 10/10 1197 days 27%
Adrian 10/10 1197 days 27%
Christine 10/10 1228 days 25%
Lara 9/10 1228 days 24%
Broke 8/10 1289 days 20%
Jineesh D 10/10 1381 days 15%
Caroline LEFEVRE 10/10 1381 days 15%
Alicia 10/10 1470 days 11%
EvaBelle 10/10 1532 days 9%
chel 10/10 1654 days 6%
Jeannine Davis 10/10 1685 days 5%
JT & MJ 10/10 1746 days 4%
Valg 10/10 1807 days 4%
Fiona Taylor 7/10 1807 days 4%
Maureen Tate 9/10 1807 days 4%
The Gillies 8/10 1807 days 4%
Jenny 10/10 1835 days 4%
Rey 10/10 1897 days 4%
Teesh K 10/10 1927 days 4%
Rebecca 10/10 1927 days 4%
Sandy 10/10 2050 days 4%
Kate in NZ 10/10 2050 days 4%
Ricardo 10/10 2172 days 3%
Marianna 10/10 2201 days 3%
Jane Lawrence 9/10 2201 days 3%
Linda 8/10 2201 days 3%
Niven 10/10 2201 days 3%
Lee 10/10 2232 days 3%
Dan 10/10 2232 days 3%
Katie 9/10 2263 days 3%
GM 7/10 2263 days 3%
Devin 10/10 2293 days 3%
Anni Heltti 10/10 2315 days 1%
Javier.G 10/10 2324 days 3%
Tania Baird 9/10 2354 days 3%
Keith & Kay Finlayson 10/10 2385 days 3%
braddo 10/10 2385 days 3%
Meri 10/10 2416 days 3%
Jhade 10/10 2416 days 3%
Felix 10/10 2507 days 3%
OA 10/10 2538 days 3%
Kathryn Torkington 1/10 2538 days 0%
Brice 7/10 2538 days 2%
QueeenBeee 10/10 2566 days 2%
Megan Belanger 10/10 2566 days 2%
Franz 10/10 2597 days 2%
Inna 10/10 2597 days 2%
Ashton 9/10 2597 days 2%
Boris Clémençon 10/10 2597 days 2%
JT 10/10 2597 days 2%
Phil 10/10 2628 days 2%
Marilli 10/10 2628 days 2%
Thatdudejosh 10/10 2658 days 2%
Indy 10/10 2658 days 2%
Karo 10/10 2658 days 2%
Jonas R. 10/10 2689 days 2%
Joseph 8/10 2811 days 2%
Florian 10/10 2872 days 2%
Sarah 8/10 2872 days 2%
Jayling 10/10 2903 days 2%
Laura 9/10 2931 days 2%
Clobby 8/10 2931 days 2%
Katharina Pisarew 9/10 2937 days 1%
Luis Vigil Vidal 10/10 2945 days 1%
Dennis Hesse 10/10 2949 days 2%
Tori De 1/10 2962 days 0%
Marketa Weisserová 10/10 2975 days 2%
Yanzhi Cheng 10/10 3037 days 2%
Joe Trigg 9/10 3041 days 1%
Jenny Jaye 10/10 3057 days 1%
Victoria Smith 10/10 3108 days 1%
Poppy Ritchie 10/10 3137 days 1%
Judy Aspinall 9/10 3222 days 1%
Rosanna Leeming 7/10 3283 days 1%
Matt Downey 7/10 3294 days 1%
Frankie Winsor 9/10 3310 days 1%
Lisa Al Agam 10/10 3322 days 1%
Thomas Jan Geelen 6/10 3336 days 1%
Audrey Zarlenga 10/10 3367 days 1%
Theo Mallais 10/10 3409 days 1%
Puneet Mishra 10/10 3412 days 1%
Derek Drost 7/10 3423 days 1%
Simon Liehout 9/10 3449 days 1%
Debbie 9/10 3449 days 1%
Philippa Buchanan 9/10 3504 days 1%
Rita Ashby 8/10 3541 days 0%
Connie Hopper 9/10 3583 days 0%
Tatiana Rochereau 9/10 3592 days 0%
Andre Evers 9/10 3595 days 0%
David Elliott 8/10 3602 days 0%
Goldfinger 9/10 3633 days 0%
Bernadette Arnet 9/10 3639 days 0%
Zdenda Barvinek 9/10 3685 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.