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.
126 Valid Reviews
The Lumsden Information Centre experience has a total of 132 reviews. There are 126 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 126 valid reviews, the experience has 3 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 126 valid reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 82 |
|
65% |
9/10 | 26 |
|
21% |
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% |
93.33% Average
The raw data average (mean) for all the Lumsden Information Centre valid reviews is 93.33% and is based on 126 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
97.02%
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 |
---|---|---|---|
Dan | 9/10 | 35 days | 99% |
Derek Gillard | 10/10 | 63 days | 100% |
Patrick | 10/10 | 125 days | 99% |
Berdien | 10/10 | 125 days | 99% |
Mladen Savov | 10/10 | 125 days | 99% |
Fritz | 9/10 | 155 days | 98% |
Laura | 10/10 | 216 days | 98% |
parisonchloe@gmail.com | 10/10 | 278 days | 96% |
Holly | 10/10 | 339 days | 94% |
Caron | 10/10 | 369 days | 92% |
Tommy | 10/10 | 369 days | 92% |
Myrthe Venema | 10/10 | 400 days | 91% |
Hugo | 9/10 | 400 days | 90% |
Ana Capucho | 10/10 | 460 days | 88% |
Lili | 10/10 | 491 days | 86% |
Danielle Rubio | 10/10 | 491 days | 86% |
Joe | 10/10 | 521 days | 84% |
Nina | 10/10 | 521 days | 84% |
Cholly | 9/10 | 552 days | 82% |
Marie Perret | 8/10 | 582 days | 79% |
Sara | 10/10 | 613 days | 78% |
Anaïs | 10/10 | 674 days | 74% |
Basil | 10/10 | 705 days | 71% |
Etoile Rose | 10/10 | 705 days | 71% |
Tim Mitterer | 10/10 | 735 days | 69% |
Simon Wiinberg | 10/10 | 794 days | 64% |
Simon Möller | 9/10 | 794 days | 63% |
Sandrina | 10/10 | 825 days | 61% |
Vish | 10/10 | 825 days | 61% |
Tom | 10/10 | 825 days | 61% |
Amanda Moreira | 10/10 | 825 days | 61% |
Julia | 9/10 | 856 days | 57% |
Chris | 10/10 | 886 days | 55% |
Chonky Bell | 10/10 | 886 days | 55% |
Adrian | 10/10 | 886 days | 55% |
Christine | 10/10 | 917 days | 51% |
Lara | 9/10 | 917 days | 51% |
Broke | 8/10 | 978 days | 44% |
Jineesh D | 10/10 | 1070 days | 37% |
Caroline LEFEVRE | 10/10 | 1070 days | 37% |
Alicia | 10/10 | 1159 days | 29% |
EvaBelle | 10/10 | 1221 days | 25% |
chel | 10/10 | 1343 days | 17% |
Jeannine Davis | 10/10 | 1374 days | 15% |
JT & MJ | 10/10 | 1435 days | 13% |
Valg | 10/10 | 1496 days | 10% |
Fiona Taylor | 7/10 | 1496 days | 9% |
Maureen Tate | 9/10 | 1496 days | 10% |
The Gillies | 8/10 | 1496 days | 10% |
Jenny | 10/10 | 1524 days | 9% |
Rey | 10/10 | 1586 days | 7% |
Teesh K | 10/10 | 1616 days | 6% |
Rebecca | 10/10 | 1616 days | 6% |
Sandy | 10/10 | 1739 days | 4% |
Kate in NZ | 10/10 | 1739 days | 4% |
Ricardo | 10/10 | 1861 days | 4% |
Marianna | 10/10 | 1890 days | 4% |
Jane Lawrence | 9/10 | 1890 days | 4% |
Linda | 8/10 | 1890 days | 3% |
Niven | 10/10 | 1890 days | 4% |
Lee | 10/10 | 1921 days | 3% |
Dan | 10/10 | 1921 days | 3% |
Katie | 9/10 | 1952 days | 3% |
GM | 7/10 | 1952 days | 3% |
Devin | 10/10 | 1982 days | 3% |
Anni Heltti | 10/10 | 2004 days | 1% |
Javier.G | 10/10 | 2013 days | 3% |
Tania Baird | 9/10 | 2043 days | 3% |
Keith & Kay Finlayson | 10/10 | 2074 days | 3% |
braddo | 10/10 | 2074 days | 3% |
Meri | 10/10 | 2105 days | 3% |
Jhade | 10/10 | 2105 days | 3% |
Felix | 10/10 | 2196 days | 3% |
OA | 10/10 | 2227 days | 3% |
Kathryn Torkington | 1/10 | 2227 days | 0% |
Brice | 7/10 | 2227 days | 3% |
QueeenBeee | 10/10 | 2255 days | 3% |
Megan Belanger | 10/10 | 2255 days | 3% |
Franz | 10/10 | 2286 days | 3% |
Inna | 10/10 | 2286 days | 3% |
Ashton | 9/10 | 2286 days | 3% |
Boris Clémençon | 10/10 | 2286 days | 3% |
JT | 10/10 | 2286 days | 3% |
Phil | 10/10 | 2317 days | 3% |
Marilli | 10/10 | 2317 days | 3% |
Thatdudejosh | 10/10 | 2347 days | 3% |
Indy | 10/10 | 2347 days | 3% |
Karo | 10/10 | 2347 days | 3% |
Jonas R. | 10/10 | 2378 days | 3% |
Joseph | 8/10 | 2500 days | 2% |
Florian | 10/10 | 2561 days | 2% |
Sarah | 8/10 | 2561 days | 2% |
Jayling | 10/10 | 2592 days | 2% |
Laura | 9/10 | 2620 days | 2% |
Clobby | 8/10 | 2620 days | 2% |
Katharina Pisarew | 9/10 | 2626 days | 1% |
Luis Vigil Vidal | 10/10 | 2634 days | 1% |
Dennis Hesse | 10/10 | 2638 days | 2% |
Tori De | 1/10 | 2651 days | 0% |
Marketa Weisserová | 10/10 | 2664 days | 2% |
Yanzhi Cheng | 10/10 | 2726 days | 2% |
Joe Trigg | 9/10 | 2730 days | 2% |
Jenny Jaye | 10/10 | 2746 days | 2% |
Victoria Smith | 10/10 | 2797 days | 2% |
Poppy Ritchie | 10/10 | 2826 days | 2% |
Judy Aspinall | 9/10 | 2911 days | 1% |
Rosanna Leeming | 7/10 | 2972 days | 1% |
Matt Downey | 7/10 | 2983 days | 1% |
Frankie Winsor | 9/10 | 2999 days | 1% |
Lisa Al Agam | 10/10 | 3011 days | 1% |
Thomas Jan Geelen | 6/10 | 3025 days | 1% |
Audrey Zarlenga | 10/10 | 3056 days | 1% |
Theo Mallais | 10/10 | 3098 days | 1% |
Puneet Mishra | 10/10 | 3101 days | 1% |
Derek Drost | 7/10 | 3112 days | 1% |
Simon Liehout | 9/10 | 3138 days | 1% |
Debbie | 9/10 | 3138 days | 1% |
Philippa Buchanan | 9/10 | 3193 days | 1% |
Rita Ashby | 8/10 | 3230 days | 1% |
Connie Hopper | 9/10 | 3272 days | 1% |
Tatiana Rochereau | 9/10 | 3281 days | 1% |
Andre Evers | 9/10 | 3284 days | 1% |
David Elliott | 8/10 | 3291 days | 1% |
Goldfinger | 9/10 | 3322 days | 1% |
Bernadette Arnet | 9/10 | 3328 days | 1% |
Zdenda Barvinek | 9/10 | 3374 days | 1% |
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.
0.25% 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.
97%
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.