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.
125 Valid Reviews
The Lumsden Information Centre experience has a total of 131 reviews. There are 125 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 125 valid reviews, the experience has 3 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 125 valid reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 82 |
|
66% |
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% |
93.36% Average
The raw data average (mean) for all the Lumsden Information Centre valid reviews is 93.36% and is based on 125 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
97.22%
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 |
---|---|---|---|
Derek Gillard | 10/10 | 39 days | 100% |
Patrick | 10/10 | 101 days | 99% |
Berdien | 10/10 | 101 days | 99% |
Mladen Savov | 10/10 | 101 days | 99% |
Fritz | 9/10 | 131 days | 98% |
Laura | 10/10 | 192 days | 98% |
parisonchloe@gmail.com | 10/10 | 254 days | 96% |
Holly | 10/10 | 315 days | 94% |
Caron | 10/10 | 345 days | 93% |
Tommy | 10/10 | 345 days | 93% |
Myrthe Venema | 10/10 | 376 days | 92% |
Hugo | 9/10 | 376 days | 91% |
Ana Capucho | 10/10 | 436 days | 89% |
Lili | 10/10 | 467 days | 87% |
Danielle Rubio | 10/10 | 467 days | 87% |
Joe | 10/10 | 497 days | 86% |
Nina | 10/10 | 497 days | 86% |
Cholly | 9/10 | 528 days | 83% |
Marie Perret | 8/10 | 558 days | 80% |
Sara | 10/10 | 589 days | 80% |
Anaïs | 10/10 | 650 days | 76% |
Basil | 10/10 | 681 days | 73% |
Etoile Rose | 10/10 | 681 days | 73% |
Tim Mitterer | 10/10 | 711 days | 71% |
Simon Wiinberg | 10/10 | 770 days | 66% |
Simon Möller | 9/10 | 770 days | 65% |
Sandrina | 10/10 | 801 days | 63% |
Vish | 10/10 | 801 days | 63% |
Tom | 10/10 | 801 days | 63% |
Amanda Moreira | 10/10 | 801 days | 63% |
Julia | 9/10 | 832 days | 59% |
Chris | 10/10 | 862 days | 57% |
Chonky Bell | 10/10 | 862 days | 57% |
Adrian | 10/10 | 862 days | 57% |
Christine | 10/10 | 893 days | 54% |
Lara | 9/10 | 893 days | 53% |
Broke | 8/10 | 954 days | 47% |
Jineesh D | 10/10 | 1046 days | 39% |
Caroline LEFEVRE | 10/10 | 1046 days | 39% |
Alicia | 10/10 | 1135 days | 31% |
EvaBelle | 10/10 | 1197 days | 26% |
chel | 10/10 | 1319 days | 18% |
Jeannine Davis | 10/10 | 1350 days | 17% |
JT & MJ | 10/10 | 1411 days | 14% |
Valg | 10/10 | 1472 days | 11% |
Fiona Taylor | 7/10 | 1472 days | 10% |
Maureen Tate | 9/10 | 1472 days | 11% |
The Gillies | 8/10 | 1472 days | 11% |
Jenny | 10/10 | 1500 days | 10% |
Rey | 10/10 | 1562 days | 8% |
Teesh K | 10/10 | 1592 days | 7% |
Rebecca | 10/10 | 1592 days | 7% |
Sandy | 10/10 | 1715 days | 4% |
Kate in NZ | 10/10 | 1715 days | 4% |
Ricardo | 10/10 | 1837 days | 4% |
Marianna | 10/10 | 1866 days | 4% |
Jane Lawrence | 9/10 | 1866 days | 4% |
Linda | 8/10 | 1866 days | 3% |
Niven | 10/10 | 1866 days | 4% |
Lee | 10/10 | 1897 days | 4% |
Dan | 10/10 | 1897 days | 4% |
Katie | 9/10 | 1928 days | 3% |
GM | 7/10 | 1928 days | 3% |
Devin | 10/10 | 1958 days | 3% |
Anni Heltti | 10/10 | 1980 days | 1% |
Javier.G | 10/10 | 1989 days | 3% |
Tania Baird | 9/10 | 2019 days | 3% |
Keith & Kay Finlayson | 10/10 | 2050 days | 3% |
braddo | 10/10 | 2050 days | 3% |
Meri | 10/10 | 2081 days | 3% |
Jhade | 10/10 | 2081 days | 3% |
Felix | 10/10 | 2172 days | 3% |
OA | 10/10 | 2203 days | 3% |
Kathryn Torkington | 1/10 | 2203 days | 0% |
Brice | 7/10 | 2203 days | 3% |
QueeenBeee | 10/10 | 2231 days | 3% |
Megan Belanger | 10/10 | 2231 days | 3% |
Franz | 10/10 | 2262 days | 3% |
Inna | 10/10 | 2262 days | 3% |
Ashton | 9/10 | 2262 days | 3% |
Boris Clémençon | 10/10 | 2262 days | 3% |
JT | 10/10 | 2262 days | 3% |
Phil | 10/10 | 2293 days | 3% |
Marilli | 10/10 | 2293 days | 3% |
Thatdudejosh | 10/10 | 2323 days | 3% |
Indy | 10/10 | 2323 days | 3% |
Karo | 10/10 | 2323 days | 3% |
Jonas R. | 10/10 | 2354 days | 3% |
Joseph | 8/10 | 2476 days | 2% |
Florian | 10/10 | 2537 days | 2% |
Sarah | 8/10 | 2537 days | 2% |
Jayling | 10/10 | 2568 days | 2% |
Laura | 9/10 | 2596 days | 2% |
Clobby | 8/10 | 2596 days | 2% |
Katharina Pisarew | 9/10 | 2602 days | 1% |
Luis Vigil Vidal | 10/10 | 2610 days | 1% |
Dennis Hesse | 10/10 | 2614 days | 2% |
Tori De | 1/10 | 2627 days | 0% |
Marketa Weisserová | 10/10 | 2640 days | 2% |
Yanzhi Cheng | 10/10 | 2702 days | 2% |
Joe Trigg | 9/10 | 2706 days | 2% |
Jenny Jaye | 10/10 | 2722 days | 2% |
Victoria Smith | 10/10 | 2773 days | 2% |
Poppy Ritchie | 10/10 | 2802 days | 2% |
Judy Aspinall | 9/10 | 2887 days | 2% |
Rosanna Leeming | 7/10 | 2948 days | 1% |
Matt Downey | 7/10 | 2959 days | 1% |
Frankie Winsor | 9/10 | 2975 days | 1% |
Lisa Al Agam | 10/10 | 2987 days | 1% |
Thomas Jan Geelen | 6/10 | 3001 days | 1% |
Audrey Zarlenga | 10/10 | 3032 days | 1% |
Theo Mallais | 10/10 | 3074 days | 1% |
Puneet Mishra | 10/10 | 3077 days | 1% |
Derek Drost | 7/10 | 3088 days | 1% |
Simon Liehout | 9/10 | 3114 days | 1% |
Debbie | 9/10 | 3114 days | 1% |
Philippa Buchanan | 9/10 | 3169 days | 1% |
Rita Ashby | 8/10 | 3206 days | 1% |
Connie Hopper | 9/10 | 3248 days | 1% |
Tatiana Rochereau | 9/10 | 3257 days | 1% |
Andre Evers | 9/10 | 3260 days | 1% |
David Elliott | 8/10 | 3267 days | 1% |
Goldfinger | 9/10 | 3298 days | 1% |
Bernadette Arnet | 9/10 | 3304 days | 1% |
Zdenda Barvinek | 9/10 | 3350 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.
0.23% 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.