Ranking Score Explained

Hi, 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

97.70%

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 10/10 141 days 100%
Masen 10/10 141 days 100%
Andy 10/10 171 days 99%
Manon 10/10 171 days 99%
Jenda 10/10 263 days 97%
Laurie 10/10 263 days 97%
Nicholas Turner 10/10 324 days 95%
Dan 9/10 355 days 93%
Derek Gillard 10/10 383 days 93%
Patrick 10/10 445 days 90%
Berdien 10/10 445 days 90%
Mladen Savov 10/10 445 days 90%
Fritz 9/10 475 days 87%
Laura 10/10 536 days 84%
parisonchloe@gmail.com 10/10 598 days 80%
Holly 10/10 659 days 76%
Caron 10/10 689 days 73%
Tommy 10/10 689 days 73%
Myrthe Venema 10/10 720 days 71%
Hugo 9/10 720 days 70%
Ana Capucho 10/10 780 days 66%
Lili 10/10 811 days 63%
Danielle Rubio 10/10 811 days 63%
Joe 10/10 841 days 60%
Nina 10/10 841 days 60%
Cholly 9/10 872 days 56%
Marie Perret 8/10 902 days 53%
Sara 10/10 933 days 50%
Anaïs 10/10 994 days 44%
Basil 10/10 1025 days 41%
Etoile Rose 10/10 1025 days 41%
Tim Mitterer 10/10 1055 days 39%
Simon Wiinberg 10/10 1114 days 33%
Simon Möller 9/10 1114 days 33%
Sandrina 10/10 1145 days 31%
Vish 10/10 1145 days 31%
Tom 10/10 1145 days 31%
Amanda Moreira 10/10 1145 days 31%
Julia 9/10 1176 days 28%
Chris 10/10 1206 days 26%
Chonky Bell 10/10 1206 days 26%
Adrian 10/10 1206 days 26%
Christine 10/10 1237 days 24%
Lara 9/10 1237 days 24%
Broke 8/10 1298 days 20%
Jineesh D 10/10 1390 days 15%
Caroline LEFEVRE 10/10 1390 days 15%
Alicia 10/10 1479 days 11%
EvaBelle 10/10 1541 days 9%
chel 10/10 1663 days 6%
Jeannine Davis 10/10 1694 days 5%
JT & MJ 10/10 1755 days 4%
Valg 10/10 1816 days 4%
Fiona Taylor 7/10 1816 days 4%
Maureen Tate 9/10 1816 days 4%
The Gillies 8/10 1816 days 4%
Jenny 10/10 1844 days 4%
Rey 10/10 1906 days 4%
Teesh K 10/10 1936 days 4%
Rebecca 10/10 1936 days 4%
Sandy 10/10 2059 days 4%
Kate in NZ 10/10 2059 days 4%
Ricardo 10/10 2181 days 3%
Marianna 10/10 2210 days 3%
Jane Lawrence 9/10 2210 days 3%
Linda 8/10 2210 days 3%
Niven 10/10 2210 days 3%
Lee 10/10 2241 days 3%
Dan 10/10 2241 days 3%
Katie 9/10 2272 days 3%
GM 7/10 2272 days 3%
Devin 10/10 2302 days 3%
Anni Heltti 10/10 2324 days 1%
Javier.G 10/10 2333 days 3%
Tania Baird 9/10 2363 days 3%
Keith & Kay Finlayson 10/10 2394 days 3%
braddo 10/10 2394 days 3%
Meri 10/10 2425 days 3%
Jhade 10/10 2425 days 3%
Felix 10/10 2516 days 3%
OA 10/10 2547 days 3%
Kathryn Torkington 1/10 2547 days 0%
Brice 7/10 2547 days 2%
QueeenBeee 10/10 2575 days 2%
Megan Belanger 10/10 2575 days 2%
Franz 10/10 2606 days 2%
Inna 10/10 2606 days 2%
Ashton 9/10 2606 days 2%
Boris Clémençon 10/10 2606 days 2%
JT 10/10 2606 days 2%
Phil 10/10 2637 days 2%
Marilli 10/10 2637 days 2%
Thatdudejosh 10/10 2667 days 2%
Indy 10/10 2667 days 2%
Karo 10/10 2667 days 2%
Jonas R. 10/10 2698 days 2%
Joseph 8/10 2820 days 2%
Florian 10/10 2881 days 2%
Sarah 8/10 2881 days 2%
Jayling 10/10 2912 days 2%
Laura 9/10 2940 days 2%
Clobby 8/10 2940 days 2%
Katharina Pisarew 9/10 2946 days 1%
Luis Vigil Vidal 10/10 2954 days 1%
Dennis Hesse 10/10 2958 days 2%
Tori De 1/10 2971 days 0%
Marketa Weisserová 10/10 2984 days 2%
Yanzhi Cheng 10/10 3046 days 2%
Joe Trigg 9/10 3050 days 1%
Jenny Jaye 10/10 3066 days 1%
Victoria Smith 10/10 3117 days 1%
Poppy Ritchie 10/10 3146 days 1%
Judy Aspinall 9/10 3231 days 1%
Rosanna Leeming 7/10 3292 days 1%
Matt Downey 7/10 3303 days 1%
Frankie Winsor 9/10 3319 days 1%
Lisa Al Agam 10/10 3331 days 1%
Thomas Jan Geelen 6/10 3345 days 1%
Audrey Zarlenga 10/10 3376 days 1%
Theo Mallais 10/10 3418 days 1%
Puneet Mishra 10/10 3421 days 1%
Derek Drost 7/10 3432 days 1%
Simon Liehout 9/10 3458 days 1%
Debbie 9/10 3458 days 1%
Philippa Buchanan 9/10 3513 days 1%
Rita Ashby 8/10 3550 days 0%
Connie Hopper 9/10 3592 days 0%
Tatiana Rochereau 9/10 3601 days 0%
Andre Evers 9/10 3604 days 0%
David Elliott 8/10 3611 days 0%
Goldfinger 9/10 3642 days 0%
Bernadette Arnet 9/10 3648 days 0%
Zdenda Barvinek 9/10 3694 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.