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 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 76 days 100%
Masen 10/10 76 days 100%
Andy 10/10 106 days 100%
Manon 10/10 106 days 100%
Jenda 10/10 198 days 98%
Laurie 10/10 198 days 98%
Nicholas Turner 10/10 259 days 96%
Dan 9/10 290 days 95%
Derek Gillard 10/10 318 days 94%
Patrick 10/10 380 days 92%
Berdien 10/10 380 days 92%
Mladen Savov 10/10 380 days 92%
Fritz 9/10 410 days 90%
Laura 10/10 471 days 87%
parisonchloe@gmail.com 10/10 533 days 84%
Holly 10/10 594 days 80%
Caron 10/10 624 days 78%
Tommy 10/10 624 days 78%
Myrthe Venema 10/10 655 days 75%
Hugo 9/10 655 days 75%
Ana Capucho 10/10 715 days 71%
Lili 10/10 746 days 68%
Danielle Rubio 10/10 746 days 68%
Joe 10/10 776 days 65%
Nina 10/10 776 days 65%
Cholly 9/10 807 days 62%
Marie Perret 8/10 837 days 59%
Sara 10/10 868 days 57%
Anaïs 10/10 929 days 50%
Basil 10/10 960 days 47%
Etoile Rose 10/10 960 days 47%
Tim Mitterer 10/10 990 days 44%
Simon Wiinberg 10/10 1049 days 39%
Simon Möller 9/10 1049 days 38%
Sandrina 10/10 1080 days 36%
Vish 10/10 1080 days 36%
Tom 10/10 1080 days 36%
Amanda Moreira 10/10 1080 days 36%
Julia 9/10 1111 days 33%
Chris 10/10 1141 days 31%
Chonky Bell 10/10 1141 days 31%
Adrian 10/10 1141 days 31%
Christine 10/10 1172 days 29%
Lara 9/10 1172 days 28%
Broke 8/10 1233 days 24%
Jineesh D 10/10 1325 days 18%
Caroline LEFEVRE 10/10 1325 days 18%
Alicia 10/10 1414 days 14%
EvaBelle 10/10 1476 days 11%
chel 10/10 1598 days 7%
Jeannine Davis 10/10 1629 days 6%
JT & MJ 10/10 1690 days 5%
Valg 10/10 1751 days 4%
Fiona Taylor 7/10 1751 days 4%
Maureen Tate 9/10 1751 days 4%
The Gillies 8/10 1751 days 4%
Jenny 10/10 1779 days 4%
Rey 10/10 1841 days 4%
Teesh K 10/10 1871 days 4%
Rebecca 10/10 1871 days 4%
Sandy 10/10 1994 days 4%
Kate in NZ 10/10 1994 days 4%
Ricardo 10/10 2116 days 3%
Marianna 10/10 2145 days 3%
Jane Lawrence 9/10 2145 days 3%
Linda 8/10 2145 days 3%
Niven 10/10 2145 days 3%
Lee 10/10 2176 days 3%
Dan 10/10 2176 days 3%
Katie 9/10 2207 days 3%
GM 7/10 2207 days 3%
Devin 10/10 2237 days 3%
Anni Heltti 10/10 2259 days 1%
Javier.G 10/10 2268 days 3%
Tania Baird 9/10 2298 days 3%
Keith & Kay Finlayson 10/10 2329 days 3%
braddo 10/10 2329 days 3%
Meri 10/10 2360 days 3%
Jhade 10/10 2360 days 3%
Felix 10/10 2451 days 3%
OA 10/10 2482 days 3%
Kathryn Torkington 1/10 2482 days 0%
Brice 7/10 2482 days 2%
QueeenBeee 10/10 2510 days 3%
Megan Belanger 10/10 2510 days 3%
Franz 10/10 2541 days 2%
Inna 10/10 2541 days 2%
Ashton 9/10 2541 days 2%
Boris Clémençon 10/10 2541 days 2%
JT 10/10 2541 days 2%
Phil 10/10 2572 days 2%
Marilli 10/10 2572 days 2%
Thatdudejosh 10/10 2602 days 2%
Indy 10/10 2602 days 2%
Karo 10/10 2602 days 2%
Jonas R. 10/10 2633 days 2%
Joseph 8/10 2755 days 2%
Florian 10/10 2816 days 2%
Sarah 8/10 2816 days 2%
Jayling 10/10 2847 days 2%
Laura 9/10 2875 days 2%
Clobby 8/10 2875 days 2%
Katharina Pisarew 9/10 2881 days 1%
Luis Vigil Vidal 10/10 2889 days 1%
Dennis Hesse 10/10 2893 days 2%
Tori De 1/10 2906 days 0%
Marketa Weisserová 10/10 2919 days 2%
Yanzhi Cheng 10/10 2981 days 2%
Joe Trigg 9/10 2985 days 2%
Jenny Jaye 10/10 3001 days 2%
Victoria Smith 10/10 3052 days 1%
Poppy Ritchie 10/10 3081 days 1%
Judy Aspinall 9/10 3166 days 1%
Rosanna Leeming 7/10 3227 days 1%
Matt Downey 7/10 3238 days 1%
Frankie Winsor 9/10 3254 days 1%
Lisa Al Agam 10/10 3266 days 1%
Thomas Jan Geelen 6/10 3280 days 1%
Audrey Zarlenga 10/10 3311 days 1%
Theo Mallais 10/10 3353 days 1%
Puneet Mishra 10/10 3356 days 1%
Derek Drost 7/10 3367 days 1%
Simon Liehout 9/10 3393 days 1%
Debbie 9/10 3393 days 1%
Philippa Buchanan 9/10 3448 days 1%
Rita Ashby 8/10 3485 days 1%
Connie Hopper 9/10 3527 days 0%
Tatiana Rochereau 9/10 3536 days 0%
Andre Evers 9/10 3539 days 0%
David Elliott 8/10 3546 days 0%
Goldfinger 9/10 3577 days 0%
Bernadette Arnet 9/10 3583 days 0%
Zdenda Barvinek 9/10 3629 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.