Hey, 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 Portobello Village Tourist Park.
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.
104 Valid Reviews
The Portobello Village Tourist Park experience has a total of 104 valid reviews. There are no 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.
Below is the distribution of ratings for the 104 valid reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 13 |
|
13% |
9/10 | 24 |
|
23% |
8/10 | 32 |
|
31% |
7/10 | 17 |
|
16% |
6/10 | 12 |
|
12% |
5/10 | 3 |
|
3% |
4/10 | 0 |
|
0% |
3/10 | 2 |
|
2% |
2/10 | 0 |
|
0% |
1/10 | 1 |
|
1% |
78.37% Average
The raw data average (mean) for all the Portobello Village Tourist Park valid reviews is 78.37% and is based on 104 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.
30 Face-to-Face Reviews
The Rankers team meets with travellers while they’re in New Zealand and conducts face-to-face surveys. These reviews, in our opinion, are the most trusted in the industry and represent a critical control sample. To our knowledge, we are the only travel review website in the world that has gone to this extent.
More about face-to-face reviews
Within the 104 valid reviews, the experience has 30 face-to-face reviews collected during interviews by our team.
Below is the distribution of ratings for the 30 face-to-face reviews:
Rating | Count | Percentage | |
---|---|---|---|
10/10 | 6 |
|
20% |
9/10 | 7 |
|
23% |
8/10 | 9 |
|
30% |
7/10 | 3 |
|
10% |
6/10 | 3 |
|
10% |
5/10 | 1 |
|
3% |
4/10 | 0 |
|
0% |
3/10 | 1 |
|
3% |
2/10 | 0 |
|
0% |
1/10 | 0 |
|
0% |
80.67% Average
The raw data average (mean) for all the Portobello Village Tourist Park face-to-face reviews is 80.67% and is based on 30 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.
83.07%
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 |
---|---|---|---|
Nicolas | 7/10 | 33 days | 94% |
Hayley | 9/10 | 94 days | 100% |
Lindsay Byrnes | 8/10 | 216 days | 97% |
Fabienne | 8/10 | 247 days | 96% |
Ian Garcia | 8/10 | 276 days | 95% |
Tine Warner | 9/10 | 307 days | 95% |
Joel Fryett | 6/10 | 307 days | 83% |
Loam | 6/10 | 307 days | 83% |
M.K. | 9/10 | 399 days | 91% |
Ryli West | 8/10 | 582 days | 80% |
Steve | 9/10 | 613 days | 79% |
Jake | 10/10 | 641 days | 78% |
Arie | 7/10 | 672 days | 70% |
Julia | 9/10 | 703 days | 72% |
Debby | 9/10 | 733 days | 70% |
Lothar Valentijn | 10/10 | 733 days | 70% |
Sarah | 9/10 | 733 days | 70% |
Colin | 8/10 | 764 days | 66% |
Lisa | 10/10 | 886 days | 56% |
Anne S | 9/10 | 978 days | 46% |
Ana and Rob | 8/10 | 1555 days | 9% |
Sandy | 9/10 | 1586 days | 8% |
Maria | 6/10 | 1708 days | 5% |
M&P | 8/10 | 1737 days | 5% |
Tom Z. | 9/10 | 1768 days | 5% |
Tea | 8/10 | 1799 days | 5% |
Sue W | 8/10 | 1829 days | 5% |
Maryline | 9/10 | 2043 days | 5% |
Esa | 7/10 | 2074 days | 4% |
Vincent | 9/10 | 2074 days | 5% |
TP&MM | 8/10 | 2074 days | 4% |
Chantal | 10/10 | 2164 days | 4% |
James & Kerry | 9/10 | 2194 days | 4% |
Melinda Pyke | 8/10 | 2255 days | 4% |
Grizzly Girl | 8/10 | 2255 days | 4% |
Esteban | 8/10 | 2408 days | 4% |
Bridget Cumming | 7/10 | 2446 days | 4% |
M A Pelton | 10/10 | 2449 days | 4% |
UK 50-something couple | 8/10 | 2467 days | 4% |
Suzanne Wijsman | 9/10 | 2475 days | 4% |
Sandra Jeffers | 6/10 | 2575 days | 3% |
Howard Morris | 8/10 | 2591 days | 3% |
Geoff Steele | 7/10 | 2619 days | 3% |
Matthias Wohlgemuth | 7/10 | 2846 days | 3% |
sara hoeflaken | 8/10 | 2860 days | 3% |
Roeland Driessen | 8/10 | 2862 days | 3% |
Cyrielle Vallat | 6/10 | 2918 days | 2% |
Susan H | 10/10 | 2957 days | 3% |
Ruth Hernandez | 8/10 | 2959 days | 3% |
Kate | 8/10 | 3092 days | 2% |
Joanna du Toit | 7/10 | 3249 days | 2% |
Yvonne Wu | 8/10 | 3473 days | 2% |
Soizic Vandermeersch | 7/10 | 3496 days | 2% |
Rossco | 6/10 | 3503 days | 1% |
Erica b | 7/10 | 3503 days | 2% |
Larry Dashiell | 9/10 | 3534 days | 2% |
June Harris | 6/10 | 3593 days | 1% |
Matthias Thorn | 7/10 | 3593 days | 1% |
Richard | 8/10 | 3778 days | 1% |
travelscot | 9/10 | 3839 days | 1% |
Patricia Revel | 9/10 | 3870 days | 1% |
Katarina | 10/10 | 3871 days | 1% |
Gillian Scott | 7/10 | 3898 days | 1% |
Julie Robinson | 7/10 | 3915 days | 1% |
Julien de la lande | 6/10 | 3941 days | 1% |
Wouter Bosch | 7/10 | 3941 days | 1% |
Aude Moulin | 5/10 | 3941 days | 0% |
Maya Bakker-deDreu | 8/10 | 3949 days | 1% |
JoMary Smith | 8/10 | 3959 days | 1% |
2 tent travelers from Montreal | 5/10 | 3990 days | 1% |
Grantygrant | 7/10 | 4234 days | 0% |
Bertiethebus | 8/10 | 4265 days | 0% |
Kadyan | 6/10 | 4265 days | 0% |
Malgorzata | 6/10 | 4269 days | 0% |
Moni Sangoi | 7/10 | 4293 days | 0% |
Puma17 | 7/10 | 4324 days | 0% |
David | 5/10 | 4324 days | 0% |
Auger | 10/10 | 4362 days | 0% |
Auger | 10/10 | 4362 days | 0% |
Mike & Jennie | 8/10 | 4641 days | 1% |
Balonno | 3/10 | 4690 days | 1% |
lydzb | 6/10 | 4721 days | 1% |
ncopas | 1/10 | 4721 days | 0% |
Annie Breton | 6/10 | 4979 days | 1% |
Robin Smith | 10/10 | 4982 days | 1% |
Jim & Rebecca | 9/10 | 4988 days | 1% |
Tony & Marina Greenaway | 8/10 | 4989 days | 1% |
Chris | 8/10 | 4990 days | 1% |
LandJ | 9/10 | 4996 days | 1% |
Manfred & Gabi | 9/10 | 5007 days | 1% |
Frank Lehe | 8/10 | 5009 days | 1% |
Marieke and Bert-Jan | 8/10 | 5012 days | 1% |
Roy Seymour | 8/10 | 5015 days | 1% |
Sabine | 9/10 | 5274 days | 1% |
Anna | 9/10 | 5279 days | 1% |
Siebels Wilke | 8/10 | 5293 days | 1% |
Peter Aerborg | 9/10 | 5297 days | 1% |
Peter Brown | 10/10 | 5357 days | 1% |
John Cox | 8/10 | 5367 days | 1% |
Helmet Paula | 3/10 | 5374 days | 0% |
Lorena | 10/10 | 5389 days | 1% |
Alexis De Wilde | 9/10 | 5461 days | 1% |
Decuq | 7/10 | 5462 days | 1% |
Vivien Williams | 10/10 | 5713 days | 1% |
Several adjustments to the weighted average are added to improve relevancy and credibility. These adjustments apply equally to all experiences that meet the criteria.
No Adjustment
A reasonable number of reviews are necessary in order for the average to be credible and for an experience to take a prime position within the ranking tables. As such, experiences with only a few reviews have a moderated score. This does not mean that the experience or the reviews can't be trusted. The Portobello Village Tourist Park experience has plenty of reviews and does not meet the criteria for any adjustment.
-0.33% Adjustment
There may be an adjustment if this experience hasn't received any reviews within the last 49 days. However the Portobello Village Tourist Park experience does not meet the criteria for any adjustment.
In addition, an experience's ranking score may be adjusted for each day there is no new ranking. After 1 day the adjustment comes into effect. The maximum number of days that can be adjusted for is 200 days. Due to the seasonal nature of many businesses, this adjustment is applied dynamically throughout the year.
The Portobello Village Tourist Park experience has been adjusted for 17 days. Adjustments are according to the following table.
Days | Adjustment |
---|---|
… | … |
14 | -0.27% |
15 | -0.29% |
16 | -0.31% |
17 | -0.33% |
18 | -0.35% |
19 | -0.37% |
20 | -0.39% |
… | … |
2.30% 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 customers 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.
85%
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.