Email extractor online is one of the latest tools that brings authentic professional email addresses & information from any website instantly. Whether it’s a start-up or a multinational company, email extractors can link any organization with you for your business. However, when you are dealing with emails, you may face spamming problems. Spams are dangerous or unwanted messages that affect your business. To prevent spamming, using spam filters is necessary. Spam filters are developed to detect virus-infected, unwanted, and unsolicited emails and to keep them away from email inboxes. In this article, we are going to discuss 5 types of spam filters recommended by Email Extract Online.

1. Content filters

Content filters mainly analyse the entire content or text inside the email to find any suspicious things like explicit materials, inappropriate language, unwanted links, etc. This is one of the simplest anti-spam filters and it is widely used. A content filter firstly scans the full text and then finds the specific spamming terms. The spam email content is quite predictable, specifically because they have the same objectives: promote explicit materials, offers, deals, etc. Content filters examine these types of content & decide whether it’s spam or not.

2. Blacklist filters

Blacklist filters are also very popular that mainly block the email content delivered by spammers. So, when you send an email, this filter inspects your IP address and domain name to check whether it is listed as a spammer by an email service provider or a specific company. Emails that are listed on the spamming list are sent to the spam folder directly. In short, the blacklist filters determine if the email is good or not. 

3. Header filters

As the name implies, header filters check the header content of an email. It determines if the email is delivered from a legitimate source or not. It also analyzes data and the IP address of the sender to check if the address is real or fake. This is because spammers mainly use Internet Protocol or IP addresses to send spam emails. Header filters also catch copied email content that is delivered to the pre-organized recipient groups at the same time.

4. Bayesian filters

Firstly, a bayesian filter analyzes the email inbox & spam records, and then it compares both to separate legit emails from spam. Basically, this filter learns the preferences by checking the emails that a user sends to the spam box. It observes email content that a user marks as spam & then it accordingly makes rules. This means, that if you mark constantly all emails as spam from a particular sender, the Bayesian filter can easily recognize the pattern. Then it moves all the future emails from the particular sender. The bayesian filter is a very popular anti-spamming tool as AI is strong and it works efficiently. 

5. User-defined filters

As the name suggests, these spamming filters come with particular rules by which users can build their own for analyzing emails that are delivered to their inbox. Users can configure this filter to check for some particular words or phrases in the email body. If the words or phrases are present, the email will be sent to the spam box. User-defined filters are useful to target specific senders.

Nowadays, the importance of spam filters is huge. Internet service providers or ISPs mainly use these filters to make sure they are not sending spam messages. Apart from that, from mid-sized businesses to large-scale organizations, every enterprise uses anti-spam filters for protecting their networks and employees. If you want to get authentic email information from any business, use Email Extract Online. Their email extractor online tool is robust, convenient, and specially designed for business owners, recruiters, sales executives, and marketing agencies.