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 65 days 100%
Masen 10/10 65 days 100%
Andy 10/10 95 days 100%
Manon 10/10 95 days 100%
Jenda 10/10 187 days 98%
Laurie 10/10 187 days 98%
Nicholas Turner 10/10 248 days 97%
Dan 9/10 279 days 95%
Derek Gillard 10/10 307 days 95%
Patrick 10/10 369 days 92%
Berdien 10/10 369 days 92%
Mladen Savov 10/10 369 days 92%
Fritz 9/10 399 days 90%
Laura 10/10 460 days 88%
parisonchloe@gmail.com 10/10 522 days 84%
Holly 10/10 583 days 81%
Caron 10/10 613 days 78%
Tommy 10/10 613 days 78%
Myrthe Venema 10/10 644 days 76%
Hugo 9/10 644 days 75%
Ana Capucho 10/10 704 days 72%
Lili 10/10 735 days 69%
Danielle Rubio 10/10 735 days 69%
Joe 10/10 765 days 66%
Nina 10/10 765 days 66%
Cholly 9/10 796 days 63%
Marie Perret 8/10 826 days 60%
Sara 10/10 857 days 58%
Anaïs 10/10 918 days 51%
Basil 10/10 949 days 48%
Etoile Rose 10/10 949 days 48%
Tim Mitterer 10/10 979 days 45%
Simon Wiinberg 10/10 1038 days 40%
Simon Möller 9/10 1038 days 39%
Sandrina 10/10 1069 days 37%
Vish 10/10 1069 days 37%
Tom 10/10 1069 days 37%
Amanda Moreira 10/10 1069 days 37%
Julia 9/10 1100 days 34%
Chris 10/10 1130 days 32%
Chonky Bell 10/10 1130 days 32%
Adrian 10/10 1130 days 32%
Christine 10/10 1161 days 29%
Lara 9/10 1161 days 29%
Broke 8/10 1222 days 24%
Jineesh D 10/10 1314 days 19%
Caroline LEFEVRE 10/10 1314 days 19%
Alicia 10/10 1403 days 14%
EvaBelle 10/10 1465 days 11%
chel 10/10 1587 days 7%
Jeannine Davis 10/10 1618 days 6%
JT & MJ 10/10 1679 days 5%
Valg 10/10 1740 days 4%
Fiona Taylor 7/10 1740 days 4%
Maureen Tate 9/10 1740 days 4%
The Gillies 8/10 1740 days 4%
Jenny 10/10 1768 days 4%
Rey 10/10 1830 days 4%
Teesh K 10/10 1860 days 4%
Rebecca 10/10 1860 days 4%
Sandy 10/10 1983 days 4%
Kate in NZ 10/10 1983 days 4%
Ricardo 10/10 2105 days 3%
Marianna 10/10 2134 days 3%
Jane Lawrence 9/10 2134 days 3%
Linda 8/10 2134 days 3%
Niven 10/10 2134 days 3%
Lee 10/10 2165 days 3%
Dan 10/10 2165 days 3%
Katie 9/10 2196 days 3%
GM 7/10 2196 days 3%
Devin 10/10 2226 days 3%
Anni Heltti 10/10 2248 days 1%
Javier.G 10/10 2257 days 3%
Tania Baird 9/10 2287 days 3%
Keith & Kay Finlayson 10/10 2318 days 3%
braddo 10/10 2318 days 3%
Meri 10/10 2349 days 3%
Jhade 10/10 2349 days 3%
Felix 10/10 2440 days 3%
OA 10/10 2471 days 3%
Kathryn Torkington 1/10 2471 days 0%
Brice 7/10 2471 days 2%
QueeenBeee 10/10 2499 days 3%
Megan Belanger 10/10 2499 days 3%
Franz 10/10 2530 days 2%
Inna 10/10 2530 days 2%
Ashton 9/10 2530 days 2%
Boris Clémençon 10/10 2530 days 2%
JT 10/10 2530 days 2%
Phil 10/10 2561 days 2%
Marilli 10/10 2561 days 2%
Thatdudejosh 10/10 2591 days 2%
Indy 10/10 2591 days 2%
Karo 10/10 2591 days 2%
Jonas R. 10/10 2622 days 2%
Joseph 8/10 2744 days 2%
Florian 10/10 2805 days 2%
Sarah 8/10 2805 days 2%
Jayling 10/10 2836 days 2%
Laura 9/10 2864 days 2%
Clobby 8/10 2864 days 2%
Katharina Pisarew 9/10 2870 days 1%
Luis Vigil Vidal 10/10 2878 days 1%
Dennis Hesse 10/10 2882 days 2%
Tori De 1/10 2895 days 0%
Marketa Weisserová 10/10 2908 days 2%
Yanzhi Cheng 10/10 2970 days 2%
Joe Trigg 9/10 2974 days 2%
Jenny Jaye 10/10 2990 days 2%
Victoria Smith 10/10 3041 days 1%
Poppy Ritchie 10/10 3070 days 1%
Judy Aspinall 9/10 3155 days 1%
Rosanna Leeming 7/10 3216 days 1%
Matt Downey 7/10 3227 days 1%
Frankie Winsor 9/10 3243 days 1%
Lisa Al Agam 10/10 3255 days 1%
Thomas Jan Geelen 6/10 3269 days 1%
Audrey Zarlenga 10/10 3300 days 1%
Theo Mallais 10/10 3342 days 1%
Puneet Mishra 10/10 3345 days 1%
Derek Drost 7/10 3356 days 1%
Simon Liehout 9/10 3382 days 1%
Debbie 9/10 3382 days 1%
Philippa Buchanan 9/10 3437 days 1%
Rita Ashby 8/10 3474 days 1%
Connie Hopper 9/10 3516 days 1%
Tatiana Rochereau 9/10 3525 days 0%
Andre Evers 9/10 3528 days 0%
David Elliott 8/10 3535 days 0%
Goldfinger 9/10 3566 days 0%
Bernadette Arnet 9/10 3572 days 0%
Zdenda Barvinek 9/10 3618 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.