How To Manage Your iPrimus Webmail To Minimize Spam
If you happen to have an iPrimus webmail, then you’re probably luckier than most because their email service has The Postmaster. This mail server manager often sends out system notifications to users to warn them that they’re approaching the 10 MB limit. This helpful program also filters out most of the undesirable messages coming from suspicious sources. Nevertheless, many of these unwanted offers for male enhancement solutions or invites for threesomes and one-night-stands still find their way into user’s inboxes. Although they’re commonly known as spam, these junk emails rarely look or taste as good as their namesake.
Tweaking the Filters Based on Keywords and Targeting Specific Senders
The best defense against becoming inundated with spam is to tweak the filters in your account. Although The Postmaster has virtually chucked out most of the junk, webmail users should follow through with some housekeeping tricks that would surely clean up the rest of the spam. One way is to put in filters that block emails based on certain words or phrases in the subject line or the body. For example, words like “sale” or “enhance” were often used by email marketers.
Through Gmail and Yahoo! Email offer free email addresses with up to 50 GB allocated to every account, these email services make sure they protect their user’s privacy and data security. They’ve installed spam filtering software that kept out spam based on algorithms. Frequently, these email providers hire online services that maintained a database of email addresses, which have been reported as dubious accounts of scammers, spammers, and phishers around the world.
Teaching Your Webmail’s System to Tag Spammy Messages
Additionally, these popular email providers have an intelligent bot program that learns to identify spam based on the frequency that a user puts away those emails from the same source into the Trash bin or Spam folder. In contrast, a standard webmail client often lacks this keen awareness of what constitute spam. And so, it’s up to humans to create the criteria that the system can use to filter the undesirables from a stream of incoming messages.
Tagging emails as spam is just the beginning. The next step would to assign meaning to actions. For instance, marking messages from a certain address as important places future emails from this source in the White List. At the same time, email labels function as categorical descriptions of these types of messages. In the end, the webmail system would be in an archival mode whenever they encounter these emails.