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

97.67%

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 77 days 100%
Masen 10/10 77 days 100%
Andy 10/10 107 days 100%
Manon 10/10 107 days 100%
Jenda 10/10 199 days 98%
Laurie 10/10 199 days 98%
Nicholas Turner 10/10 260 days 96%
Dan 9/10 291 days 94%
Derek Gillard 10/10 319 days 94%
Patrick 10/10 381 days 92%
Berdien 10/10 381 days 92%
Mladen Savov 10/10 381 days 92%
Fritz 9/10 411 days 90%
Laura 10/10 472 days 87%
parisonchloe@gmail.com 10/10 534 days 84%
Holly 10/10 595 days 80%
Caron 10/10 625 days 78%
Tommy 10/10 625 days 78%
Myrthe Venema 10/10 656 days 75%
Hugo 9/10 656 days 75%
Ana Capucho 10/10 716 days 71%
Lili 10/10 747 days 68%
Danielle Rubio 10/10 747 days 68%
Joe 10/10 777 days 65%
Nina 10/10 777 days 65%
Cholly 9/10 808 days 62%
Marie Perret 8/10 838 days 58%
Sara 10/10 869 days 57%
Anaïs 10/10 930 days 50%
Basil 10/10 961 days 47%
Etoile Rose 10/10 961 days 47%
Tim Mitterer 10/10 991 days 44%
Simon Wiinberg 10/10 1050 days 39%
Simon Möller 9/10 1050 days 38%
Sandrina 10/10 1081 days 36%
Vish 10/10 1081 days 36%
Tom 10/10 1081 days 36%
Amanda Moreira 10/10 1081 days 36%
Julia 9/10 1112 days 33%
Chris 10/10 1142 days 31%
Chonky Bell 10/10 1142 days 31%
Adrian 10/10 1142 days 31%
Christine 10/10 1173 days 29%
Lara 9/10 1173 days 28%
Broke 8/10 1234 days 24%
Jineesh D 10/10 1326 days 18%
Caroline LEFEVRE 10/10 1326 days 18%
Alicia 10/10 1415 days 14%
EvaBelle 10/10 1477 days 11%
chel 10/10 1599 days 7%
Jeannine Davis 10/10 1630 days 6%
JT & MJ 10/10 1691 days 5%
Valg 10/10 1752 days 4%
Fiona Taylor 7/10 1752 days 4%
Maureen Tate 9/10 1752 days 4%
The Gillies 8/10 1752 days 4%
Jenny 10/10 1780 days 4%
Rey 10/10 1842 days 4%
Teesh K 10/10 1872 days 4%
Rebecca 10/10 1872 days 4%
Sandy 10/10 1995 days 4%
Kate in NZ 10/10 1995 days 4%
Ricardo 10/10 2117 days 3%
Marianna 10/10 2146 days 3%
Jane Lawrence 9/10 2146 days 3%
Linda 8/10 2146 days 3%
Niven 10/10 2146 days 3%
Lee 10/10 2177 days 3%
Dan 10/10 2177 days 3%
Katie 9/10 2208 days 3%
GM 7/10 2208 days 3%
Devin 10/10 2238 days 3%
Anni Heltti 10/10 2260 days 1%
Javier.G 10/10 2269 days 3%
Tania Baird 9/10 2299 days 3%
Keith & Kay Finlayson 10/10 2330 days 3%
braddo 10/10 2330 days 3%
Meri 10/10 2361 days 3%
Jhade 10/10 2361 days 3%
Felix 10/10 2452 days 3%
OA 10/10 2483 days 3%
Kathryn Torkington 1/10 2483 days 0%
Brice 7/10 2483 days 2%
QueeenBeee 10/10 2511 days 3%
Megan Belanger 10/10 2511 days 3%
Franz 10/10 2542 days 2%
Inna 10/10 2542 days 2%
Ashton 9/10 2542 days 2%
Boris Clémençon 10/10 2542 days 2%
JT 10/10 2542 days 2%
Phil 10/10 2573 days 2%
Marilli 10/10 2573 days 2%
Thatdudejosh 10/10 2603 days 2%
Indy 10/10 2603 days 2%
Karo 10/10 2603 days 2%
Jonas R. 10/10 2634 days 2%
Joseph 8/10 2756 days 2%
Florian 10/10 2817 days 2%
Sarah 8/10 2817 days 2%
Jayling 10/10 2848 days 2%
Laura 9/10 2875 days 2%
Clobby 8/10 2876 days 2%
Katharina Pisarew 9/10 2882 days 1%
Luis Vigil Vidal 10/10 2890 days 1%
Dennis Hesse 10/10 2894 days 2%
Tori De 1/10 2907 days 0%
Marketa Weisserová 10/10 2920 days 2%
Yanzhi Cheng 10/10 2982 days 2%
Joe Trigg 9/10 2986 days 2%
Jenny Jaye 10/10 3002 days 2%
Victoria Smith 10/10 3053 days 1%
Poppy Ritchie 10/10 3082 days 1%
Judy Aspinall 9/10 3167 days 1%
Rosanna Leeming 7/10 3228 days 1%
Matt Downey 7/10 3239 days 1%
Frankie Winsor 9/10 3255 days 1%
Lisa Al Agam 10/10 3267 days 1%
Thomas Jan Geelen 6/10 3281 days 1%
Audrey Zarlenga 10/10 3312 days 1%
Theo Mallais 10/10 3354 days 1%
Puneet Mishra 10/10 3357 days 1%
Derek Drost 7/10 3368 days 1%
Simon Liehout 9/10 3393 days 1%
Debbie 9/10 3393 days 1%
Philippa Buchanan 9/10 3449 days 1%
Rita Ashby 8/10 3485 days 1%
Connie Hopper 9/10 3528 days 0%
Tatiana Rochereau 9/10 3537 days 0%
Andre Evers 9/10 3540 days 0%
David Elliott 8/10 3546 days 0%
Goldfinger 9/10 3577 days 0%
Bernadette Arnet 9/10 3584 days 0%
Zdenda Barvinek 9/10 3630 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.