Email-Marketing.me

“Email width” function filters the email for the WIDTH parameter to make sure that it is not wider than 650px. There is no standard or agreed width within the Email Marketing community, but the suggested width is usually between 500 and 700px. For this reason the maximum width should be flexible and the users should be able to change it through the options menu. If a width higher than the set maximum width is found – display a message “The maximum width should not be wider than XXXpx”.

“CSS Support” function filters the sourcecode of the email to check whether it contains any Cascading Style Sheet (CSS) code that is not supported by one of the email clients “css_support.csv”. If it finds an unsupported style – it indicates the style and email client that will not be able to render it properly. CampaignMonitor has produced a Spreadsheet indicating all style sheets  and what email clients are unable to render them. This Spreadsheet was adapted for this function, as it has proven to be extremely popular among the email marketing experts.

http://www.campaignmonitor.com/blog/archives/2006/03/a_guide_to_css_support_in_emai.html

“SPAM keywords” function filters the email for any words often used in SPAM messages. The SPAM keywords will be contained in text document “spam_words.txt”. If a SPAM keyword is identified it will be listed within the table on the left hand side and highlighted in the browser window. By default the “spam_words.txt” document will be hosted online and updated regularly, however the user will be able to change the location of the file. For example if the user wishes to use his own list. This feature was chosen as opposed to more advanced Bayesian SPAM filters is because in order for a Bayesian filter to learn the difference between SPAM messages and genuine messages, needs to be constantly fed with emails. Also the vocabulary used within different industries can differ, therefore some SPAM keywords can be acceptable to some recipients. For example word “breasts” can be perceived as a low risk SPAM word on a server that hosts pharmaceutical company website, where as a server that hosts financial services website will treat it as a spam message.