Getting your legitimate email through the maze of SPAM filters is a tricky business. Many of the “gotchas” are the result of an improperly configured technical details on your end of things (eg. your server, your DNS, your mail client, etc.). The problem for 99% of email senders is they have very little control over these details but they can control the content of their emails. Here is where the common sense kicks in: If you email looks like SPAM then it is going to get treated like SPAM!
SPAM filtering 101
Most good SPAM filters use some form of Bayesian Analysis to do statistical analysis on the text content of your email. I’ll spare you the gory details, but essentially these filters learn common text patterns from SPAM email and then use that information to filter out SPAM.
If you send email that contains “spammy” content then there is a much better chance that your message will end up getting blocked. Continue reading →