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 78 days 100%
Masen 10/10 78 days 100%
Andy 10/10 108 days 100%
Manon 10/10 108 days 100%
Jenda 10/10 200 days 98%
Laurie 10/10 200 days 98%
Nicholas Turner 10/10 261 days 96%
Dan 9/10 292 days 94%
Derek Gillard 10/10 320 days 94%
Patrick 10/10 382 days 92%
Berdien 10/10 382 days 92%
Mladen Savov 10/10 382 days 92%
Fritz 9/10 412 days 90%
Laura 10/10 473 days 87%
parisonchloe@gmail.com 10/10 535 days 84%
Holly 10/10 596 days 80%
Caron 10/10 626 days 78%
Tommy 10/10 626 days 78%
Myrthe Venema 10/10 657 days 75%
Hugo 9/10 657 days 75%
Ana Capucho 10/10 717 days 71%
Lili 10/10 748 days 68%
Danielle Rubio 10/10 748 days 68%
Joe 10/10 778 days 65%
Nina 10/10 778 days 65%
Cholly 9/10 809 days 62%
Marie Perret 8/10 839 days 58%
Sara 10/10 870 days 57%
Anaïs 10/10 931 days 50%
Basil 10/10 962 days 47%
Etoile Rose 10/10 962 days 47%
Tim Mitterer 10/10 992 days 44%
Simon Wiinberg 10/10 1051 days 39%
Simon Möller 9/10 1051 days 38%
Sandrina 10/10 1082 days 36%
Vish 10/10 1082 days 36%
Tom 10/10 1082 days 36%
Amanda Moreira 10/10 1082 days 36%
Julia 9/10 1113 days 33%
Chris 10/10 1143 days 31%
Chonky Bell 10/10 1143 days 31%
Adrian 10/10 1143 days 31%
Christine 10/10 1174 days 28%
Lara 9/10 1174 days 28%
Broke 8/10 1235 days 24%
Jineesh D 10/10 1327 days 18%
Caroline LEFEVRE 10/10 1327 days 18%
Alicia 10/10 1416 days 14%
EvaBelle 10/10 1478 days 11%
chel 10/10 1600 days 7%
Jeannine Davis 10/10 1631 days 6%
JT & MJ 10/10 1692 days 5%
Valg 10/10 1753 days 4%
Fiona Taylor 7/10 1753 days 4%
Maureen Tate 9/10 1753 days 4%
The Gillies 8/10 1753 days 4%
Jenny 10/10 1781 days 4%
Rey 10/10 1843 days 4%
Teesh K 10/10 1873 days 4%
Rebecca 10/10 1873 days 4%
Sandy 10/10 1996 days 4%
Kate in NZ 10/10 1996 days 4%
Ricardo 10/10 2118 days 3%
Marianna 10/10 2147 days 3%
Jane Lawrence 9/10 2147 days 3%
Linda 8/10 2147 days 3%
Niven 10/10 2147 days 3%
Lee 10/10 2178 days 3%
Dan 10/10 2178 days 3%
Katie 9/10 2209 days 3%
GM 7/10 2209 days 3%
Devin 10/10 2239 days 3%
Anni Heltti 10/10 2261 days 1%
Javier.G 10/10 2270 days 3%
Tania Baird 9/10 2300 days 3%
Keith & Kay Finlayson 10/10 2331 days 3%
braddo 10/10 2331 days 3%
Meri 10/10 2362 days 3%
Jhade 10/10 2362 days 3%
Felix 10/10 2453 days 3%
OA 10/10 2484 days 3%
Kathryn Torkington 1/10 2484 days 0%
Brice 7/10 2484 days 2%
QueeenBeee 10/10 2512 days 3%
Megan Belanger 10/10 2512 days 3%
Franz 10/10 2543 days 2%
Inna 10/10 2543 days 2%
Ashton 9/10 2543 days 2%
Boris Clémençon 10/10 2543 days 2%
JT 10/10 2543 days 2%
Phil 10/10 2574 days 2%
Marilli 10/10 2574 days 2%
Thatdudejosh 10/10 2604 days 2%
Indy 10/10 2604 days 2%
Karo 10/10 2604 days 2%
Jonas R. 10/10 2635 days 2%
Joseph 8/10 2757 days 2%
Florian 10/10 2818 days 2%
Sarah 8/10 2818 days 2%
Jayling 10/10 2849 days 2%
Laura 9/10 2876 days 2%
Clobby 8/10 2877 days 2%
Katharina Pisarew 9/10 2883 days 1%
Luis Vigil Vidal 10/10 2891 days 1%
Dennis Hesse 10/10 2895 days 2%
Tori De 1/10 2908 days 0%
Marketa Weisserová 10/10 2921 days 2%
Yanzhi Cheng 10/10 2983 days 2%
Joe Trigg 9/10 2987 days 2%
Jenny Jaye 10/10 3003 days 2%
Victoria Smith 10/10 3054 days 1%
Poppy Ritchie 10/10 3083 days 1%
Judy Aspinall 9/10 3168 days 1%
Rosanna Leeming 7/10 3229 days 1%
Matt Downey 7/10 3240 days 1%
Frankie Winsor 9/10 3256 days 1%
Lisa Al Agam 10/10 3268 days 1%
Thomas Jan Geelen 6/10 3282 days 1%
Audrey Zarlenga 10/10 3313 days 1%
Theo Mallais 10/10 3355 days 1%
Puneet Mishra 10/10 3358 days 1%
Derek Drost 7/10 3369 days 1%
Simon Liehout 9/10 3394 days 1%
Debbie 9/10 3394 days 1%
Philippa Buchanan 9/10 3450 days 1%
Rita Ashby 8/10 3486 days 1%
Connie Hopper 9/10 3529 days 0%
Tatiana Rochereau 9/10 3538 days 0%
Andre Evers 9/10 3541 days 0%
David Elliott 8/10 3547 days 0%
Goldfinger 9/10 3578 days 0%
Bernadette Arnet 9/10 3585 days 0%
Zdenda Barvinek 9/10 3631 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.