GreenAnt Email uses a number of advanced mechanisms to reduce spam.
Spam is filtered before it gets to your inbox, in the same way as Email Filters are applied. The following techniques are used to reduce spam:
- spam lists (pyzor and razor)
- Bayesian learning
- spam training
- virus checking (virus messages are discarded)
Generally, these will handle spam sorting effectively. However, if you'd like to customise your spam settings this is also possible.
Your GreenAnt Email has two folders that can be used for spam learning. They are hidden initially but you can view them by going to your folder settings:
Click on the eye icon to show the folders.
Now you can use these folders to train the spam filter.
- If you receive a spam message in your inbox, drag it to the
LearnAsSpamfolder and the spam filter will be told that further similar messages will be classifed as spam
- If you find a legitamate message ("Ham") in your
Junkfolder, then you can drag it to the
LearnAsHamfolder and further similar messages will be less likely to be classified as spam
Note: These folders will be automatically emptied each night and the messages moved to
Junkfor Spam messages and
Inboxfor Ham messages.
Adjusting Spam Threshold
If you have a close look at the headers on your incoming mail, you'll see that all messages have a header called
X-Spam-Level:. This is a header that represents the spam score with a number of asterisks. For example, a spam email with a spam level of 7 would have the header:
The default GreenAnt Spam filter is set to level 7 as this ensures that there's very little chance of a legitimate message ending up in the
However, you may want to adjust this level. We don't recommend making the filter any less restrictive but if you want to catch more spam, you can lower the spam level by using a rule like the following:
This will lower the spam level to 5. However, be aware that if you lower the spam level too far, then it's likely that legitimate messages will end up in the