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

97.65%

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 43 days 100%
Masen 10/10 43 days 100%
Andy 10/10 73 days 100%
Manon 10/10 73 days 100%
Jenda 10/10 165 days 99%
Laurie 10/10 165 days 99%
Nicholas Turner 10/10 226 days 97%
Dan 9/10 257 days 95%
Derek Gillard 10/10 285 days 95%
Patrick 10/10 347 days 93%
Berdien 10/10 347 days 93%
Mladen Savov 10/10 347 days 93%
Fritz 9/10 377 days 91%
Laura 10/10 438 days 89%
parisonchloe@gmail.com 10/10 500 days 86%
Holly 10/10 561 days 82%
Caron 10/10 591 days 80%
Tommy 10/10 591 days 80%
Myrthe Venema 10/10 622 days 78%
Hugo 9/10 622 days 77%
Ana Capucho 10/10 682 days 73%
Lili 10/10 713 days 71%
Danielle Rubio 10/10 713 days 71%
Joe 10/10 743 days 68%
Nina 10/10 743 days 68%
Cholly 9/10 774 days 65%
Marie Perret 8/10 804 days 61%
Sara 10/10 835 days 60%
Anaïs 10/10 896 days 54%
Basil 10/10 927 days 50%
Etoile Rose 10/10 927 days 50%
Tim Mitterer 10/10 957 days 47%
Simon Wiinberg 10/10 1016 days 42%
Simon Möller 9/10 1016 days 41%
Sandrina 10/10 1047 days 39%
Vish 10/10 1047 days 39%
Tom 10/10 1047 days 39%
Amanda Moreira 10/10 1047 days 39%
Julia 9/10 1078 days 36%
Chris 10/10 1108 days 34%
Chonky Bell 10/10 1108 days 34%
Adrian 10/10 1108 days 34%
Christine 10/10 1139 days 31%
Lara 9/10 1139 days 31%
Broke 8/10 1200 days 26%
Jineesh D 10/10 1292 days 20%
Caroline LEFEVRE 10/10 1292 days 20%
Alicia 10/10 1381 days 15%
EvaBelle 10/10 1443 days 12%
chel 10/10 1565 days 8%
Jeannine Davis 10/10 1596 days 7%
JT & MJ 10/10 1657 days 5%
Valg 10/10 1718 days 5%
Fiona Taylor 7/10 1718 days 4%
Maureen Tate 9/10 1718 days 4%
The Gillies 8/10 1718 days 4%
Jenny 10/10 1746 days 4%
Rey 10/10 1808 days 4%
Teesh K 10/10 1838 days 4%
Rebecca 10/10 1838 days 4%
Sandy 10/10 1961 days 4%
Kate in NZ 10/10 1961 days 4%
Ricardo 10/10 2083 days 3%
Marianna 10/10 2112 days 3%
Jane Lawrence 9/10 2112 days 3%
Linda 8/10 2112 days 3%
Niven 10/10 2112 days 3%
Lee 10/10 2143 days 3%
Dan 10/10 2143 days 3%
Katie 9/10 2174 days 3%
GM 7/10 2174 days 3%
Devin 10/10 2204 days 3%
Anni Heltti 10/10 2226 days 1%
Javier.G 10/10 2235 days 3%
Tania Baird 9/10 2265 days 3%
Keith & Kay Finlayson 10/10 2296 days 3%
braddo 10/10 2296 days 3%
Meri 10/10 2327 days 3%
Jhade 10/10 2327 days 3%
Felix 10/10 2418 days 3%
OA 10/10 2449 days 3%
Kathryn Torkington 1/10 2449 days 0%
Brice 7/10 2449 days 2%
QueeenBeee 10/10 2477 days 3%
Megan Belanger 10/10 2477 days 3%
Franz 10/10 2508 days 2%
Inna 10/10 2508 days 2%
Ashton 9/10 2508 days 2%
Boris Clémençon 10/10 2508 days 2%
JT 10/10 2508 days 2%
Phil 10/10 2539 days 2%
Marilli 10/10 2539 days 2%
Thatdudejosh 10/10 2569 days 2%
Indy 10/10 2569 days 2%
Karo 10/10 2569 days 2%
Jonas R. 10/10 2600 days 2%
Joseph 8/10 2722 days 2%
Florian 10/10 2783 days 2%
Sarah 8/10 2783 days 2%
Jayling 10/10 2814 days 2%
Laura 9/10 2841 days 2%
Clobby 8/10 2842 days 2%
Katharina Pisarew 9/10 2848 days 1%
Luis Vigil Vidal 10/10 2856 days 1%
Dennis Hesse 10/10 2860 days 2%
Tori De 1/10 2873 days 0%
Marketa Weisserová 10/10 2886 days 2%
Yanzhi Cheng 10/10 2948 days 2%
Joe Trigg 9/10 2952 days 2%
Jenny Jaye 10/10 2968 days 2%
Victoria Smith 10/10 3019 days 1%
Poppy Ritchie 10/10 3048 days 1%
Judy Aspinall 9/10 3133 days 1%
Rosanna Leeming 7/10 3194 days 1%
Matt Downey 7/10 3205 days 1%
Frankie Winsor 9/10 3221 days 1%
Lisa Al Agam 10/10 3233 days 1%
Thomas Jan Geelen 6/10 3247 days 1%
Audrey Zarlenga 10/10 3278 days 1%
Theo Mallais 10/10 3320 days 1%
Puneet Mishra 10/10 3323 days 1%
Derek Drost 7/10 3334 days 1%
Simon Liehout 9/10 3359 days 1%
Debbie 9/10 3359 days 1%
Philippa Buchanan 9/10 3415 days 1%
Rita Ashby 8/10 3451 days 1%
Connie Hopper 9/10 3494 days 1%
Tatiana Rochereau 9/10 3503 days 1%
Andre Evers 9/10 3506 days 1%
David Elliott 8/10 3512 days 0%
Goldfinger 9/10 3543 days 0%
Bernadette Arnet 9/10 3550 days 0%
Zdenda Barvinek 9/10 3596 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

0.20% 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.