Ranking Score Explained

Kia ora, 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 75 days 100%
Masen 10/10 75 days 100%
Andy 10/10 105 days 100%
Manon 10/10 105 days 100%
Jenda 10/10 197 days 98%
Laurie 10/10 197 days 98%
Nicholas Turner 10/10 258 days 96%
Dan 9/10 289 days 95%
Derek Gillard 10/10 317 days 95%
Patrick 10/10 379 days 92%
Berdien 10/10 379 days 92%
Mladen Savov 10/10 379 days 92%
Fritz 9/10 409 days 90%
Laura 10/10 470 days 88%
parisonchloe@gmail.com 10/10 532 days 84%
Holly 10/10 593 days 80%
Caron 10/10 623 days 78%
Tommy 10/10 623 days 78%
Myrthe Venema 10/10 654 days 76%
Hugo 9/10 654 days 75%
Ana Capucho 10/10 714 days 71%
Lili 10/10 745 days 68%
Danielle Rubio 10/10 745 days 68%
Joe 10/10 775 days 66%
Nina 10/10 775 days 66%
Cholly 9/10 806 days 62%
Marie Perret 8/10 836 days 59%
Sara 10/10 867 days 57%
Anaïs 10/10 928 days 50%
Basil 10/10 959 days 47%
Etoile Rose 10/10 959 days 47%
Tim Mitterer 10/10 989 days 44%
Simon Wiinberg 10/10 1048 days 39%
Simon Möller 9/10 1048 days 38%
Sandrina 10/10 1079 days 36%
Vish 10/10 1079 days 36%
Tom 10/10 1079 days 36%
Amanda Moreira 10/10 1079 days 36%
Julia 9/10 1110 days 33%
Chris 10/10 1140 days 31%
Chonky Bell 10/10 1140 days 31%
Adrian 10/10 1140 days 31%
Christine 10/10 1171 days 29%
Lara 9/10 1171 days 28%
Broke 8/10 1232 days 24%
Jineesh D 10/10 1324 days 18%
Caroline LEFEVRE 10/10 1324 days 18%
Alicia 10/10 1413 days 14%
EvaBelle 10/10 1475 days 11%
chel 10/10 1597 days 7%
Jeannine Davis 10/10 1628 days 6%
JT & MJ 10/10 1689 days 5%
Valg 10/10 1750 days 4%
Fiona Taylor 7/10 1750 days 4%
Maureen Tate 9/10 1750 days 4%
The Gillies 8/10 1750 days 4%
Jenny 10/10 1778 days 4%
Rey 10/10 1840 days 4%
Teesh K 10/10 1870 days 4%
Rebecca 10/10 1870 days 4%
Sandy 10/10 1993 days 4%
Kate in NZ 10/10 1993 days 4%
Ricardo 10/10 2115 days 3%
Marianna 10/10 2144 days 3%
Jane Lawrence 9/10 2144 days 3%
Linda 8/10 2144 days 3%
Niven 10/10 2144 days 3%
Lee 10/10 2175 days 3%
Dan 10/10 2175 days 3%
Katie 9/10 2206 days 3%
GM 7/10 2206 days 3%
Devin 10/10 2236 days 3%
Anni Heltti 10/10 2258 days 1%
Javier.G 10/10 2267 days 3%
Tania Baird 9/10 2297 days 3%
Keith & Kay Finlayson 10/10 2328 days 3%
braddo 10/10 2328 days 3%
Meri 10/10 2359 days 3%
Jhade 10/10 2359 days 3%
Felix 10/10 2450 days 3%
OA 10/10 2481 days 3%
Kathryn Torkington 1/10 2481 days 0%
Brice 7/10 2481 days 2%
QueeenBeee 10/10 2509 days 3%
Megan Belanger 10/10 2509 days 3%
Franz 10/10 2540 days 2%
Inna 10/10 2540 days 2%
Ashton 9/10 2540 days 2%
Boris Clémençon 10/10 2540 days 2%
JT 10/10 2540 days 2%
Phil 10/10 2571 days 2%
Marilli 10/10 2571 days 2%
Thatdudejosh 10/10 2601 days 2%
Indy 10/10 2601 days 2%
Karo 10/10 2601 days 2%
Jonas R. 10/10 2632 days 2%
Joseph 8/10 2754 days 2%
Florian 10/10 2815 days 2%
Sarah 8/10 2815 days 2%
Jayling 10/10 2846 days 2%
Laura 9/10 2873 days 2%
Clobby 8/10 2874 days 2%
Katharina Pisarew 9/10 2880 days 1%
Luis Vigil Vidal 10/10 2888 days 1%
Dennis Hesse 10/10 2892 days 2%
Tori De 1/10 2905 days 0%
Marketa Weisserová 10/10 2918 days 2%
Yanzhi Cheng 10/10 2980 days 2%
Joe Trigg 9/10 2984 days 2%
Jenny Jaye 10/10 3000 days 2%
Victoria Smith 10/10 3051 days 1%
Poppy Ritchie 10/10 3080 days 1%
Judy Aspinall 9/10 3165 days 1%
Rosanna Leeming 7/10 3226 days 1%
Matt Downey 7/10 3237 days 1%
Frankie Winsor 9/10 3253 days 1%
Lisa Al Agam 10/10 3265 days 1%
Thomas Jan Geelen 6/10 3279 days 1%
Audrey Zarlenga 10/10 3310 days 1%
Theo Mallais 10/10 3352 days 1%
Puneet Mishra 10/10 3355 days 1%
Derek Drost 7/10 3366 days 1%
Simon Liehout 9/10 3391 days 1%
Debbie 9/10 3391 days 1%
Philippa Buchanan 9/10 3447 days 1%
Rita Ashby 8/10 3483 days 1%
Connie Hopper 9/10 3526 days 0%
Tatiana Rochereau 9/10 3535 days 0%
Andre Evers 9/10 3538 days 0%
David Elliott 8/10 3544 days 0%
Goldfinger 9/10 3575 days 0%
Bernadette Arnet 9/10 3582 days 0%
Zdenda Barvinek 9/10 3628 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.