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 10/10 163 days 100%
Masen 10/10 163 days 100%
Andy 10/10 193 days 99%
Manon 10/10 193 days 99%
Jenda 10/10 285 days 97%
Laurie 10/10 285 days 97%
Nicholas Turner 10/10 346 days 95%
Dan 9/10 377 days 92%
Derek Gillard 10/10 405 days 92%
Patrick 10/10 467 days 89%
Berdien 10/10 467 days 89%
Mladen Savov 10/10 467 days 89%
Fritz 9/10 497 days 86%
Laura 10/10 558 days 83%
parisonchloe@gmail.com 10/10 620 days 79%
Holly 10/10 681 days 74%
Caron 10/10 711 days 72%
Tommy 10/10 711 days 72%
Myrthe Venema 10/10 742 days 69%
Hugo 9/10 742 days 69%
Ana Capucho 10/10 802 days 64%
Lili 10/10 833 days 61%
Danielle Rubio 10/10 833 days 61%
Joe 10/10 863 days 58%
Nina 10/10 863 days 58%
Cholly 9/10 894 days 54%
Marie Perret 8/10 924 days 51%
Sara 10/10 955 days 48%
Anaïs 10/10 1016 days 42%
Basil 10/10 1047 days 39%
Etoile Rose 10/10 1047 days 39%
Tim Mitterer 10/10 1077 days 37%
Simon Wiinberg 10/10 1136 days 32%
Simon Möller 9/10 1136 days 31%
Sandrina 10/10 1167 days 29%
Vish 10/10 1167 days 29%
Tom 10/10 1167 days 29%
Amanda Moreira 10/10 1167 days 29%
Julia 9/10 1198 days 27%
Chris 10/10 1228 days 25%
Chonky Bell 10/10 1228 days 25%
Adrian 10/10 1228 days 25%
Christine 10/10 1259 days 23%
Lara 9/10 1259 days 23%
Broke 8/10 1320 days 19%
Jineesh D 10/10 1412 days 14%
Caroline LEFEVRE 10/10 1412 days 14%
Alicia 10/10 1501 days 10%
EvaBelle 10/10 1563 days 8%
chel 10/10 1685 days 5%
Jeannine Davis 10/10 1716 days 5%
JT & MJ 10/10 1777 days 4%
Valg 10/10 1838 days 4%
Fiona Taylor 7/10 1838 days 4%
Maureen Tate 9/10 1838 days 4%
The Gillies 8/10 1838 days 4%
Jenny 10/10 1866 days 4%
Rey 10/10 1928 days 4%
Teesh K 10/10 1958 days 4%
Rebecca 10/10 1958 days 4%
Sandy 10/10 2081 days 3%
Kate in NZ 10/10 2081 days 3%
Ricardo 10/10 2203 days 3%
Marianna 10/10 2232 days 3%
Jane Lawrence 9/10 2232 days 3%
Linda 8/10 2232 days 3%
Niven 10/10 2232 days 3%
Lee 10/10 2263 days 3%
Dan 10/10 2263 days 3%
Katie 9/10 2294 days 3%
GM 7/10 2294 days 3%
Devin 10/10 2324 days 3%
Anni Heltti 10/10 2346 days 1%
Javier.G 10/10 2355 days 3%
Tania Baird 9/10 2385 days 3%
Keith & Kay Finlayson 10/10 2416 days 3%
braddo 10/10 2416 days 3%
Meri 10/10 2447 days 3%
Jhade 10/10 2447 days 3%
Felix 10/10 2538 days 3%
OA 10/10 2569 days 3%
Kathryn Torkington 1/10 2569 days 0%
Brice 7/10 2569 days 2%
QueeenBeee 10/10 2597 days 2%
Megan Belanger 10/10 2597 days 2%
Franz 10/10 2628 days 2%
Inna 10/10 2628 days 2%
Ashton 9/10 2628 days 2%
Boris Clémençon 10/10 2628 days 2%
JT 10/10 2628 days 2%
Phil 10/10 2659 days 2%
Marilli 10/10 2659 days 2%
Thatdudejosh 10/10 2689 days 2%
Indy 10/10 2689 days 2%
Karo 10/10 2689 days 2%
Jonas R. 10/10 2720 days 2%
Joseph 8/10 2842 days 2%
Florian 10/10 2903 days 2%
Sarah 8/10 2903 days 2%
Jayling 10/10 2934 days 2%
Laura 9/10 2961 days 2%
Clobby 8/10 2962 days 2%
Katharina Pisarew 9/10 2968 days 1%
Luis Vigil Vidal 10/10 2976 days 1%
Dennis Hesse 10/10 2980 days 2%
Tori De 1/10 2993 days 0%
Marketa Weisserová 10/10 3006 days 2%
Yanzhi Cheng 10/10 3068 days 2%
Joe Trigg 9/10 3072 days 1%
Jenny Jaye 10/10 3088 days 1%
Victoria Smith 10/10 3139 days 1%
Poppy Ritchie 10/10 3168 days 1%
Judy Aspinall 9/10 3253 days 1%
Rosanna Leeming 7/10 3314 days 1%
Matt Downey 7/10 3325 days 1%
Frankie Winsor 9/10 3341 days 1%
Lisa Al Agam 10/10 3353 days 1%
Thomas Jan Geelen 6/10 3367 days 1%
Audrey Zarlenga 10/10 3398 days 1%
Theo Mallais 10/10 3440 days 1%
Puneet Mishra 10/10 3443 days 1%
Derek Drost 7/10 3454 days 1%
Simon Liehout 9/10 3479 days 1%
Debbie 9/10 3479 days 1%
Philippa Buchanan 9/10 3535 days 1%
Rita Ashby 8/10 3571 days 0%
Connie Hopper 9/10 3614 days 0%
Tatiana Rochereau 9/10 3623 days 0%
Andre Evers 9/10 3626 days 0%
David Elliott 8/10 3632 days 0%
Goldfinger 9/10 3663 days 0%
Bernadette Arnet 9/10 3670 days 0%
Zdenda Barvinek 9/10 3716 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.