If I am running a small bookstore, when a customer enters I can:
- see their height / morphology
- see whether they are alone or in company
- see the coat, shoes etc. they are wearing
- hear their accent (if they ask a question)
- see whether they are walking unaided or have crutches / wheelchair
- guess at their age bracket (somewhat reliably)
- guess at their physiological sex (somewhat reliably)
- guess at their gender identification (less reliably)
- recognise whether they are a first time, occasional or frequent visitor
- see what items they are paying attention to etc.
Some things I can verifably see, others I can only guess at with a greater or lesser degree of accuracy.
I am curious to compile a comprehensive list of what information I can derive about a website visitor, how can I derive it and how reliable it is.
Here is what I have come up with so far:
- UNIX Timestamp -
- the visitor's Online status -
- the visitor has JS enabled -
- the visitor's screen resolution -
- the visitor's viewport -
- the site URL the visitor is currently visiting -
Verifiable Information (requires response)
- the visitor's geolocation -
Less Reliable Information
- the visitor's IP address -
- the visitor's OS Category -
- the visitor's browser language -
- the visitor's timezone -
- the visitor's Browser Type -
- the visitor's Browser Version -
- the page the visitor arrived from -
- the visitor's Host -
I'm guessing there will be much more info - and probably more categories of info - that can be derived.
Ideally I would like to collaboratively compile a comprehensive list of information and derivation methods.
All useful contributions will be upvoted.