Matomo uses fingerprinting to try and match visits into a visitor.
This sometimes leads to obvious mistakes of categorising two people from two different countries as the same visitor such as here:
maybe the fingerprinting could also include the geo-located country to prevent these obvious fails?
BTW: there is a library for this which also supports canvas fingerprinting which can bring an accuracy of up to 94%: https://github.com/Valve/fingerprintjs2 / https://github.com/Valve/fingerprintjs In combination with some other techniques this accuracy could be even increased
👍 for this
FYI: What needs to be taken into consideration is this:
On my machine (MBP 2013 Core i5) + Chrome 46 the default FP process takes about 80-100ms. If you use extendedJsFonts option this time will increase up to 2000ms (cold font cache).
To speed up fingerprint computation, you can exclude font detection (~ 40ms), canvas fingerprint (~ 10ms), WebGL fingerprint (~ 35 ms), and Audio fingerprint (~30 ms).
Interesting page: https://amiunique.org/fp
Hi, any advances on this ? Looks like we have visitors confusion here too