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

97.71%

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 10/10 161 days 100%
Masen 10/10 161 days 100%
Andy 10/10 191 days 99%
Manon 10/10 191 days 99%
Jenda 10/10 283 days 97%
Laurie 10/10 283 days 97%
Nicholas Turner 10/10 344 days 95%
Dan 9/10 375 days 92%
Derek Gillard 10/10 403 days 92%
Patrick 10/10 465 days 89%
Berdien 10/10 465 days 89%
Mladen Savov 10/10 465 days 89%
Fritz 9/10 495 days 86%
Laura 10/10 556 days 83%
parisonchloe@gmail.com 10/10 618 days 79%
Holly 10/10 679 days 75%
Caron 10/10 709 days 72%
Tommy 10/10 709 days 72%
Myrthe Venema 10/10 740 days 69%
Hugo 9/10 740 days 69%
Ana Capucho 10/10 800 days 64%
Lili 10/10 831 days 61%
Danielle Rubio 10/10 831 days 61%
Joe 10/10 861 days 58%
Nina 10/10 861 days 58%
Cholly 9/10 892 days 54%
Marie Perret 8/10 922 days 51%
Sara 10/10 953 days 49%
Anaïs 10/10 1014 days 43%
Basil 10/10 1045 days 40%
Etoile Rose 10/10 1045 days 40%
Tim Mitterer 10/10 1075 days 37%
Simon Wiinberg 10/10 1134 days 32%
Simon Möller 9/10 1134 days 32%
Sandrina 10/10 1165 days 30%
Vish 10/10 1165 days 30%
Tom 10/10 1165 days 30%
Amanda Moreira 10/10 1165 days 30%
Julia 9/10 1196 days 27%
Chris 10/10 1226 days 25%
Chonky Bell 10/10 1226 days 25%
Adrian 10/10 1226 days 25%
Christine 10/10 1257 days 23%
Lara 9/10 1257 days 23%
Broke 8/10 1318 days 19%
Jineesh D 10/10 1410 days 14%
Caroline LEFEVRE 10/10 1410 days 14%
Alicia 10/10 1499 days 10%
EvaBelle 10/10 1561 days 8%
chel 10/10 1683 days 5%
Jeannine Davis 10/10 1714 days 5%
JT & MJ 10/10 1775 days 4%
Valg 10/10 1836 days 4%
Fiona Taylor 7/10 1836 days 4%
Maureen Tate 9/10 1836 days 4%
The Gillies 8/10 1836 days 4%
Jenny 10/10 1864 days 4%
Rey 10/10 1926 days 4%
Teesh K 10/10 1956 days 4%
Rebecca 10/10 1956 days 4%
Sandy 10/10 2079 days 3%
Kate in NZ 10/10 2079 days 3%
Ricardo 10/10 2201 days 3%
Marianna 10/10 2230 days 3%
Jane Lawrence 9/10 2230 days 3%
Linda 8/10 2230 days 3%
Niven 10/10 2230 days 3%
Lee 10/10 2261 days 3%
Dan 10/10 2261 days 3%
Katie 9/10 2292 days 3%
GM 7/10 2292 days 3%
Devin 10/10 2322 days 3%
Anni Heltti 10/10 2344 days 1%
Javier.G 10/10 2353 days 3%
Tania Baird 9/10 2383 days 3%
Keith & Kay Finlayson 10/10 2414 days 3%
braddo 10/10 2414 days 3%
Meri 10/10 2445 days 3%
Jhade 10/10 2445 days 3%
Felix 10/10 2536 days 3%
OA 10/10 2567 days 3%
Kathryn Torkington 1/10 2567 days 0%
Brice 7/10 2567 days 2%
QueeenBeee 10/10 2595 days 2%
Megan Belanger 10/10 2595 days 2%
Franz 10/10 2626 days 2%
Inna 10/10 2626 days 2%
Ashton 9/10 2626 days 2%
Boris Clémençon 10/10 2626 days 2%
JT 10/10 2626 days 2%
Phil 10/10 2657 days 2%
Marilli 10/10 2657 days 2%
Thatdudejosh 10/10 2687 days 2%
Indy 10/10 2687 days 2%
Karo 10/10 2687 days 2%
Jonas R. 10/10 2718 days 2%
Joseph 8/10 2840 days 2%
Florian 10/10 2901 days 2%
Sarah 8/10 2901 days 2%
Jayling 10/10 2932 days 2%
Laura 9/10 2959 days 2%
Clobby 8/10 2960 days 2%
Katharina Pisarew 9/10 2966 days 1%
Luis Vigil Vidal 10/10 2974 days 1%
Dennis Hesse 10/10 2978 days 2%
Tori De 1/10 2991 days 0%
Marketa Weisserová 10/10 3004 days 2%
Yanzhi Cheng 10/10 3066 days 2%
Joe Trigg 9/10 3070 days 1%
Jenny Jaye 10/10 3086 days 1%
Victoria Smith 10/10 3137 days 1%
Poppy Ritchie 10/10 3166 days 1%
Judy Aspinall 9/10 3251 days 1%
Rosanna Leeming 7/10 3312 days 1%
Matt Downey 7/10 3323 days 1%
Frankie Winsor 9/10 3339 days 1%
Lisa Al Agam 10/10 3351 days 1%
Thomas Jan Geelen 6/10 3365 days 1%
Audrey Zarlenga 10/10 3396 days 1%
Theo Mallais 10/10 3438 days 1%
Puneet Mishra 10/10 3441 days 1%
Derek Drost 7/10 3452 days 1%
Simon Liehout 9/10 3477 days 1%
Debbie 9/10 3477 days 1%
Philippa Buchanan 9/10 3533 days 1%
Rita Ashby 8/10 3569 days 0%
Connie Hopper 9/10 3612 days 0%
Tatiana Rochereau 9/10 3621 days 0%
Andre Evers 9/10 3624 days 0%
David Elliott 8/10 3630 days 0%
Goldfinger 9/10 3661 days 0%
Bernadette Arnet 9/10 3668 days 0%
Zdenda Barvinek 9/10 3714 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.