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 67 days 100%
Masen 10/10 67 days 100%
Andy 10/10 97 days 100%
Manon 10/10 97 days 100%
Jenda 10/10 189 days 98%
Laurie 10/10 189 days 98%
Nicholas Turner 10/10 250 days 97%
Dan 9/10 281 days 95%
Derek Gillard 10/10 309 days 95%
Patrick 10/10 371 days 92%
Berdien 10/10 371 days 92%
Mladen Savov 10/10 371 days 92%
Fritz 9/10 401 days 90%
Laura 10/10 462 days 88%
parisonchloe@gmail.com 10/10 524 days 84%
Holly 10/10 585 days 80%
Caron 10/10 615 days 78%
Tommy 10/10 615 days 78%
Myrthe Venema 10/10 646 days 76%
Hugo 9/10 646 days 75%
Ana Capucho 10/10 706 days 71%
Lili 10/10 737 days 69%
Danielle Rubio 10/10 737 days 69%
Joe 10/10 767 days 66%
Nina 10/10 767 days 66%
Cholly 9/10 798 days 63%
Marie Perret 8/10 828 days 59%
Sara 10/10 859 days 58%
Anaïs 10/10 920 days 51%
Basil 10/10 951 days 48%
Etoile Rose 10/10 951 days 48%
Tim Mitterer 10/10 981 days 45%
Simon Wiinberg 10/10 1040 days 40%
Simon Möller 9/10 1040 days 39%
Sandrina 10/10 1071 days 37%
Vish 10/10 1071 days 37%
Tom 10/10 1071 days 37%
Amanda Moreira 10/10 1071 days 37%
Julia 9/10 1102 days 34%
Chris 10/10 1132 days 32%
Chonky Bell 10/10 1132 days 32%
Adrian 10/10 1132 days 32%
Christine 10/10 1163 days 29%
Lara 9/10 1163 days 29%
Broke 8/10 1224 days 24%
Jineesh D 10/10 1316 days 19%
Caroline LEFEVRE 10/10 1316 days 19%
Alicia 10/10 1405 days 14%
EvaBelle 10/10 1467 days 11%
chel 10/10 1589 days 7%
Jeannine Davis 10/10 1620 days 6%
JT & MJ 10/10 1681 days 5%
Valg 10/10 1742 days 4%
Fiona Taylor 7/10 1742 days 4%
Maureen Tate 9/10 1742 days 4%
The Gillies 8/10 1742 days 4%
Jenny 10/10 1770 days 4%
Rey 10/10 1832 days 4%
Teesh K 10/10 1862 days 4%
Rebecca 10/10 1862 days 4%
Sandy 10/10 1985 days 4%
Kate in NZ 10/10 1985 days 4%
Ricardo 10/10 2107 days 3%
Marianna 10/10 2136 days 3%
Jane Lawrence 9/10 2136 days 3%
Linda 8/10 2136 days 3%
Niven 10/10 2136 days 3%
Lee 10/10 2167 days 3%
Dan 10/10 2167 days 3%
Katie 9/10 2198 days 3%
GM 7/10 2198 days 3%
Devin 10/10 2228 days 3%
Anni Heltti 10/10 2250 days 1%
Javier.G 10/10 2259 days 3%
Tania Baird 9/10 2289 days 3%
Keith & Kay Finlayson 10/10 2320 days 3%
braddo 10/10 2320 days 3%
Meri 10/10 2351 days 3%
Jhade 10/10 2351 days 3%
Felix 10/10 2442 days 3%
OA 10/10 2473 days 3%
Kathryn Torkington 1/10 2473 days 0%
Brice 7/10 2473 days 2%
QueeenBeee 10/10 2501 days 3%
Megan Belanger 10/10 2501 days 3%
Franz 10/10 2532 days 2%
Inna 10/10 2532 days 2%
Ashton 9/10 2532 days 2%
Boris Clémençon 10/10 2532 days 2%
JT 10/10 2532 days 2%
Phil 10/10 2563 days 2%
Marilli 10/10 2563 days 2%
Thatdudejosh 10/10 2593 days 2%
Indy 10/10 2593 days 2%
Karo 10/10 2593 days 2%
Jonas R. 10/10 2624 days 2%
Joseph 8/10 2746 days 2%
Florian 10/10 2807 days 2%
Sarah 8/10 2807 days 2%
Jayling 10/10 2838 days 2%
Laura 9/10 2866 days 2%
Clobby 8/10 2866 days 2%
Katharina Pisarew 9/10 2872 days 1%
Luis Vigil Vidal 10/10 2880 days 1%
Dennis Hesse 10/10 2884 days 2%
Tori De 1/10 2897 days 0%
Marketa Weisserová 10/10 2910 days 2%
Yanzhi Cheng 10/10 2972 days 2%
Joe Trigg 9/10 2976 days 2%
Jenny Jaye 10/10 2992 days 2%
Victoria Smith 10/10 3043 days 1%
Poppy Ritchie 10/10 3072 days 1%
Judy Aspinall 9/10 3157 days 1%
Rosanna Leeming 7/10 3218 days 1%
Matt Downey 7/10 3229 days 1%
Frankie Winsor 9/10 3245 days 1%
Lisa Al Agam 10/10 3257 days 1%
Thomas Jan Geelen 6/10 3271 days 1%
Audrey Zarlenga 10/10 3302 days 1%
Theo Mallais 10/10 3344 days 1%
Puneet Mishra 10/10 3347 days 1%
Derek Drost 7/10 3358 days 1%
Simon Liehout 9/10 3384 days 1%
Debbie 9/10 3384 days 1%
Philippa Buchanan 9/10 3439 days 1%
Rita Ashby 8/10 3476 days 1%
Connie Hopper 9/10 3518 days 0%
Tatiana Rochereau 9/10 3527 days 0%
Andre Evers 9/10 3530 days 0%
David Elliott 8/10 3537 days 0%
Goldfinger 9/10 3568 days 0%
Bernadette Arnet 9/10 3574 days 0%
Zdenda Barvinek 9/10 3620 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.