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 80 days 100%
Masen 10/10 80 days 100%
Andy 10/10 110 days 100%
Manon 10/10 110 days 100%
Jenda 10/10 202 days 98%
Laurie 10/10 202 days 98%
Nicholas Turner 10/10 263 days 96%
Dan 9/10 294 days 94%
Derek Gillard 10/10 322 days 94%
Patrick 10/10 384 days 92%
Berdien 10/10 384 days 92%
Mladen Savov 10/10 384 days 92%
Fritz 9/10 414 days 90%
Laura 10/10 475 days 87%
parisonchloe@gmail.com 10/10 537 days 84%
Holly 10/10 598 days 80%
Caron 10/10 628 days 78%
Tommy 10/10 628 days 78%
Myrthe Venema 10/10 659 days 75%
Hugo 9/10 659 days 74%
Ana Capucho 10/10 719 days 70%
Lili 10/10 750 days 68%
Danielle Rubio 10/10 750 days 68%
Joe 10/10 780 days 65%
Nina 10/10 780 days 65%
Cholly 9/10 811 days 62%
Marie Perret 8/10 841 days 58%
Sara 10/10 872 days 56%
Anaïs 10/10 933 days 50%
Basil 10/10 964 days 47%
Etoile Rose 10/10 964 days 47%
Tim Mitterer 10/10 994 days 44%
Simon Wiinberg 10/10 1053 days 38%
Simon Möller 9/10 1053 days 38%
Sandrina 10/10 1084 days 36%
Vish 10/10 1084 days 36%
Tom 10/10 1084 days 36%
Amanda Moreira 10/10 1084 days 36%
Julia 9/10 1115 days 33%
Chris 10/10 1145 days 31%
Chonky Bell 10/10 1145 days 31%
Adrian 10/10 1145 days 31%
Christine 10/10 1176 days 28%
Lara 9/10 1176 days 28%
Broke 8/10 1237 days 23%
Jineesh D 10/10 1329 days 18%
Caroline LEFEVRE 10/10 1329 days 18%
Alicia 10/10 1418 days 13%
EvaBelle 10/10 1480 days 11%
chel 10/10 1602 days 7%
Jeannine Davis 10/10 1633 days 6%
JT & MJ 10/10 1694 days 5%
Valg 10/10 1755 days 4%
Fiona Taylor 7/10 1755 days 4%
Maureen Tate 9/10 1755 days 4%
The Gillies 8/10 1755 days 4%
Jenny 10/10 1783 days 4%
Rey 10/10 1845 days 4%
Teesh K 10/10 1875 days 4%
Rebecca 10/10 1875 days 4%
Sandy 10/10 1998 days 4%
Kate in NZ 10/10 1998 days 4%
Ricardo 10/10 2120 days 3%
Marianna 10/10 2149 days 3%
Jane Lawrence 9/10 2149 days 3%
Linda 8/10 2149 days 3%
Niven 10/10 2149 days 3%
Lee 10/10 2180 days 3%
Dan 10/10 2180 days 3%
Katie 9/10 2211 days 3%
GM 7/10 2211 days 3%
Devin 10/10 2241 days 3%
Anni Heltti 10/10 2263 days 1%
Javier.G 10/10 2272 days 3%
Tania Baird 9/10 2302 days 3%
Keith & Kay Finlayson 10/10 2333 days 3%
braddo 10/10 2333 days 3%
Meri 10/10 2364 days 3%
Jhade 10/10 2364 days 3%
Felix 10/10 2455 days 3%
OA 10/10 2486 days 3%
Kathryn Torkington 1/10 2486 days 0%
Brice 7/10 2486 days 2%
QueeenBeee 10/10 2514 days 3%
Megan Belanger 10/10 2514 days 3%
Franz 10/10 2545 days 2%
Inna 10/10 2545 days 2%
Ashton 9/10 2545 days 2%
Boris Clémençon 10/10 2545 days 2%
JT 10/10 2545 days 2%
Phil 10/10 2576 days 2%
Marilli 10/10 2576 days 2%
Thatdudejosh 10/10 2606 days 2%
Indy 10/10 2606 days 2%
Karo 10/10 2606 days 2%
Jonas R. 10/10 2637 days 2%
Joseph 8/10 2759 days 2%
Florian 10/10 2820 days 2%
Sarah 8/10 2820 days 2%
Jayling 10/10 2851 days 2%
Laura 9/10 2878 days 2%
Clobby 8/10 2879 days 2%
Katharina Pisarew 9/10 2885 days 1%
Luis Vigil Vidal 10/10 2893 days 1%
Dennis Hesse 10/10 2897 days 2%
Tori De 1/10 2910 days 0%
Marketa Weisserová 10/10 2923 days 2%
Yanzhi Cheng 10/10 2985 days 2%
Joe Trigg 9/10 2989 days 2%
Jenny Jaye 10/10 3005 days 2%
Victoria Smith 10/10 3056 days 1%
Poppy Ritchie 10/10 3085 days 1%
Judy Aspinall 9/10 3170 days 1%
Rosanna Leeming 7/10 3231 days 1%
Matt Downey 7/10 3242 days 1%
Frankie Winsor 9/10 3258 days 1%
Lisa Al Agam 10/10 3270 days 1%
Thomas Jan Geelen 6/10 3284 days 1%
Audrey Zarlenga 10/10 3315 days 1%
Theo Mallais 10/10 3357 days 1%
Puneet Mishra 10/10 3360 days 1%
Derek Drost 7/10 3371 days 1%
Simon Liehout 9/10 3396 days 1%
Debbie 9/10 3396 days 1%
Philippa Buchanan 9/10 3452 days 1%
Rita Ashby 8/10 3488 days 1%
Connie Hopper 9/10 3531 days 0%
Tatiana Rochereau 9/10 3540 days 0%
Andre Evers 9/10 3543 days 0%
David Elliott 8/10 3549 days 0%
Goldfinger 9/10 3580 days 0%
Bernadette Arnet 9/10 3587 days 0%
Zdenda Barvinek 9/10 3633 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.