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 Te Paki Stream.

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

Te Paki Stream

Valid Reviews

35 Valid Reviews

The Te Paki Stream experience has a total of 35 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 35 valid reviews:

Rating Count Percentage
10/10 17
49%
9/10 6
17%
8/10 10
29%
7/10 2
6%
6/10 0
0%
5/10 0
0%
4/10 0
0%
3/10 0
0%
2/10 0
0%
1/10 0
0%

90.86% Average

The raw data average (mean) for all the Te Paki Stream valid reviews is 90.86% and is based on 35 valid reviews. This value is not used to calculate the ranking score and it only provided here as a comparison to the weighted average.

Face-to-Face Reviews

32 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 35 valid reviews, the experience has 32 face-to-face reviews collected during interviews by our team.

Below is the distribution of ratings for the 32 face-to-face reviews:

Rating Count Percentage
10/10 15
47%
9/10 6
19%
8/10 9
28%
7/10 2
6%
6/10 0
0%
5/10 0
0%
4/10 0
0%
3/10 0
0%
2/10 0
0%
1/10 0
0%

90.63% Average

The raw data average (mean) for all the Te Paki Stream face-to-face reviews is 90.63% and is based on 32 face-to-face reviews. This value is not used to calculate the ranking score and it only provided here for comparison purposes.

Weighted Average

90.80%

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
Tom Bennett 10/10 2583 days 100%
Martha and Simon 8/10 2826 days 80%
Dorthe Soeholm 10/10 2853 days 81%
Ulf 7/10 2927 days 68%
Gregor Szymiczek 10/10 2939 days 75%
Sylvain Schiber 10/10 2943 days 74%
Taruo Toomsalv 9/10 2958 days 72%
Guilhem 8/10 2963 days 71%
Eline 9/10 3172 days 57%
Sarah Dorsett 10/10 3179 days 57%
Stefan Hahn 8/10 3185 days 55%
Maddalena Buffoni 9/10 3207 days 54%
Joris 8/10 3212 days 53%
Josef Biller 10/10 3212 days 55%
Tilman 9/10 3228 days 53%
Jan 10/10 3237 days 53%
Tom Theuer 10/10 3237 days 53%
Anna Wilke 8/10 3274 days 49%
Marianne Leclerco 8/10 3283 days 48%
Sibylle and Nadine 9/10 3635 days 24%
Hubert Schmid 10/10 3698 days 20%
Andreas Jung 10/10 3943 days 3%
Matthias Freiling 10/10 3945 days 2%
Debora Grusler 8/10 3948 days 2%
Susser 8/10 3971 days 0%
KDS_Holiday 10/10 4435 days 8%
ToGy 8/10 4649 days 7%
Thomas 10/10 4660 days 8%
Roberto Hallblom 7/10 4676 days 5%
Theresa 10/10 4756 days 8%
Danielle 9/10 4993 days 8%
Johanna & Mark 10/10 4997 days 8%
Christoph & Maria 10/10 5005 days 8%
Amanda Neall 8/10 5007 days 7%
Meg & Steve 10/10 5312 days 8%

Adjustments

No Adjustment

Several adjustments to the weighted average may be added to improve relevancy and credibility. Te Paki Stream does not meet the criteria for any of these adjustments to apply.

Balancing Adjustment

0.90% 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

92%

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.