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.
123 Valid Reviews
The Lumsden Information Centre experience has a total of 129 reviews. There are 123 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 123 valid reviews, the experience has 3 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 123 valid reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 80 |
|
65% |
9/10 | 25 |
|
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% |
93.25% Average
The raw data average (mean) for all the Lumsden Information Centre valid reviews is 93.25% and is based on 123 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
97.03%
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 |
---|---|---|---|
Patrick | 10/10 | 61 days | 100% |
Berdien | 10/10 | 61 days | 100% |
Fritz | 9/10 | 91 days | 99% |
Laura | 10/10 | 152 days | 99% |
parisonchloe@gmail.com | 10/10 | 214 days | 98% |
Holly | 10/10 | 275 days | 96% |
Caron | 10/10 | 305 days | 95% |
Tommy | 10/10 | 305 days | 95% |
Myrthe Venema | 10/10 | 336 days | 94% |
Hugo | 9/10 | 336 days | 93% |
Ana Capucho | 10/10 | 396 days | 91% |
Lili | 10/10 | 427 days | 90% |
Danielle Rubio | 10/10 | 427 days | 90% |
Joe | 10/10 | 457 days | 88% |
Nina | 10/10 | 457 days | 88% |
Cholly | 9/10 | 488 days | 86% |
Marie Perret | 8/10 | 518 days | 83% |
Sara | 10/10 | 549 days | 83% |
Anaïs | 10/10 | 610 days | 79% |
Basil | 10/10 | 641 days | 76% |
Etoile Rose | 10/10 | 641 days | 76% |
Tim Mitterer | 10/10 | 671 days | 74% |
Simon Wiinberg | 10/10 | 730 days | 69% |
Simon Möller | 9/10 | 730 days | 69% |
Sandrina | 10/10 | 761 days | 67% |
Vish | 10/10 | 761 days | 67% |
Tom | 10/10 | 761 days | 67% |
Amanda Moreira | 10/10 | 761 days | 67% |
Julia | 9/10 | 792 days | 63% |
Chris | 10/10 | 822 days | 61% |
Chonky Bell | 10/10 | 822 days | 61% |
Adrian | 10/10 | 822 days | 61% |
Christine | 10/10 | 853 days | 58% |
Lara | 9/10 | 853 days | 57% |
Broke | 8/10 | 914 days | 51% |
Jineesh D | 10/10 | 1006 days | 43% |
Caroline LEFEVRE | 10/10 | 1006 days | 43% |
Alicia | 10/10 | 1095 days | 35% |
EvaBelle | 10/10 | 1157 days | 30% |
chel | 10/10 | 1279 days | 21% |
Jeannine Davis | 10/10 | 1310 days | 19% |
JT & MJ | 10/10 | 1371 days | 16% |
Valg | 10/10 | 1432 days | 13% |
Fiona Taylor | 7/10 | 1432 days | 12% |
Maureen Tate | 9/10 | 1432 days | 12% |
The Gillies | 8/10 | 1432 days | 12% |
Jenny | 10/10 | 1460 days | 11% |
Rey | 10/10 | 1522 days | 9% |
Teesh K | 10/10 | 1552 days | 8% |
Rebecca | 10/10 | 1552 days | 8% |
Sandy | 10/10 | 1675 days | 5% |
Kate in NZ | 10/10 | 1675 days | 5% |
Ricardo | 10/10 | 1797 days | 4% |
Marianna | 10/10 | 1826 days | 4% |
Jane Lawrence | 9/10 | 1826 days | 4% |
Linda | 8/10 | 1826 days | 4% |
Niven | 10/10 | 1826 days | 4% |
Lee | 10/10 | 1857 days | 4% |
Dan | 10/10 | 1857 days | 4% |
Katie | 9/10 | 1888 days | 3% |
GM | 7/10 | 1888 days | 3% |
Devin | 10/10 | 1918 days | 3% |
Anni Heltti | 10/10 | 1940 days | 1% |
Javier.G | 10/10 | 1949 days | 3% |
Tania Baird | 9/10 | 1979 days | 3% |
Keith & Kay Finlayson | 10/10 | 2010 days | 3% |
braddo | 10/10 | 2010 days | 3% |
Meri | 10/10 | 2041 days | 3% |
Jhade | 10/10 | 2041 days | 3% |
Felix | 10/10 | 2132 days | 3% |
OA | 10/10 | 2163 days | 3% |
Kathryn Torkington | 1/10 | 2163 days | 0% |
Brice | 7/10 | 2163 days | 3% |
QueeenBeee | 10/10 | 2191 days | 3% |
Megan Belanger | 10/10 | 2191 days | 3% |
Franz | 10/10 | 2222 days | 3% |
Inna | 10/10 | 2222 days | 3% |
Ashton | 9/10 | 2222 days | 3% |
Boris Clémençon | 10/10 | 2222 days | 3% |
JT | 10/10 | 2222 days | 3% |
Phil | 10/10 | 2253 days | 3% |
Marilli | 10/10 | 2253 days | 3% |
Thatdudejosh | 10/10 | 2283 days | 3% |
Indy | 10/10 | 2283 days | 3% |
Karo | 10/10 | 2283 days | 3% |
Jonas R. | 10/10 | 2314 days | 3% |
Joseph | 8/10 | 2436 days | 2% |
Florian | 10/10 | 2497 days | 2% |
Sarah | 8/10 | 2497 days | 2% |
Jayling | 10/10 | 2528 days | 2% |
Laura | 9/10 | 2555 days | 2% |
Clobby | 8/10 | 2556 days | 2% |
Katharina Pisarew | 9/10 | 2562 days | 1% |
Luis Vigil Vidal | 10/10 | 2570 days | 1% |
Dennis Hesse | 10/10 | 2574 days | 2% |
Tori De | 1/10 | 2587 days | 0% |
Marketa Weisserová | 10/10 | 2600 days | 2% |
Yanzhi Cheng | 10/10 | 2662 days | 2% |
Joe Trigg | 9/10 | 2666 days | 2% |
Jenny Jaye | 10/10 | 2682 days | 2% |
Victoria Smith | 10/10 | 2733 days | 2% |
Poppy Ritchie | 10/10 | 2762 days | 2% |
Judy Aspinall | 9/10 | 2847 days | 2% |
Rosanna Leeming | 7/10 | 2908 days | 1% |
Matt Downey | 7/10 | 2919 days | 1% |
Frankie Winsor | 9/10 | 2935 days | 1% |
Lisa Al Agam | 10/10 | 2947 days | 1% |
Thomas Jan Geelen | 6/10 | 2961 days | 1% |
Audrey Zarlenga | 10/10 | 2992 days | 1% |
Theo Mallais | 10/10 | 3034 days | 1% |
Puneet Mishra | 10/10 | 3037 days | 1% |
Derek Drost | 7/10 | 3048 days | 1% |
Simon Liehout | 9/10 | 3073 days | 1% |
Debbie | 9/10 | 3073 days | 1% |
Philippa Buchanan | 9/10 | 3129 days | 1% |
Rita Ashby | 8/10 | 3165 days | 1% |
Connie Hopper | 9/10 | 3208 days | 1% |
Tatiana Rochereau | 9/10 | 3217 days | 1% |
Andre Evers | 9/10 | 3220 days | 1% |
David Elliott | 8/10 | 3226 days | 1% |
Goldfinger | 9/10 | 3257 days | 1% |
Bernadette Arnet | 9/10 | 3264 days | 1% |
Zdenda Barvinek | 9/10 | 3310 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.