How to filter email marketing lists? Detailed explanation of the cleaning process before mass email sending

In the actual marketing process, many teams have spent great efforts to collect user mailboxes, but after sending mass emails, they find that the bounce rate is high, the click rate is low, and the effect is dismal. The problem isn’t the poorly written content, it’s the list itself——Email data that has not been cleaned and filtered essentially has no marketing value."raw material".

Qualified once Email For mass sending, strict data processing must be performed first. The core link is to conduct the mailing listComprehensive screening and cleaning.

1. Typical problems in the original mailing list

1. The email format is incorrect or the spelling is irregular.

A large amount of data collected manually, crawled by crawlers, and imported through forms will be mixed with:

lLackThe address of the "@" symbol

lMisspelled domain name (e.g. hotmial.com)

lUse special characters or spaces to separate

These will cause delivery failure and the system will directly return the letter.

2. Duplicate email address

Duplicate addresses will result in multiple sendings, which not only wastes resources, but will also be reported as harassment by users.

3. Invalid email or disposable email

Some mailboxes look like"Correctly formatted", but essentially:

lAddress that has been canceled

lTemporary email platform generation (such asyopmail、10minutEmail)

lEmails under scrapped domain names

Even if this type of email exists, it will not lead to any conversions.

4. Emails that are rejected or have high bounce risk

Although some mailboxes are valid, they have set up whitelists, bounce rules, or are specifically designed to block unknown senders. Mass mailings are almost100% blocked or bounced.

two,EmailCleaning process steps before mass sending

In order to ensure the effect of mass sending, it is recommended to clean the email list according to the following process:

Step One: Format Rule Verification

Use regular expressions or batch verification tools to check whether the standard email format is met:

lDoes it contain"@"

lWhether it is a legal domain name suffix (such as.com, .net, .co.uk)

lWhether it contains illegal characters (spaces, quotation marks, Chinese)

This step makes for a quick cleanup10%-15% of obviously wrong addresses.

Step Two: Deduplication Processing

Unify the case of email addresses and eliminate identical or deformed duplicate addresses.

It is recommended to mark the source channel field to facilitate later tracking of data quality.

Step three:SMTP level detection

Execute simulated sending request throughThe SMTP protocol determines whether the mailbox is connectable and exists.

The following states are recognized:

lValid email: server confirms receipt

lInvalid email: return550 error

lReject email: return553 / 554 and other errors

lUnknown status: server unresponsive or greylisted

Step 4: Behavioral data cross-validation

If you have past delivery records, you can analyze the behavior tags of the mailbox:

lHave you ever opened the email?

lHave you clicked on the link?

lWhether the letter has been bounced many times

lIs there any interactive behavior (such as forwarding, replying)

Give priority to retaining mailboxes with behavioral signals, and clear out dead mailboxes with zero response.

Step 5: Eliminate temporary email platform

Establish a temporary email domain name database (such as mailinator.com,tempmail.net), mark and remove them uniformly to avoid being judged as malicious by the system.

3. What kind of list is worthy of mass distribution?

After filteringA "healthy email list" should have the following characteristics:

Only such a list is eligible to enter the marketing system.

4. How to quickly complete this series of cleaning processes?

Manual operation is inefficient, has many misjudgments, and is not scalable. Enterprises more often choose to use professional email detection platforms for automated processing.

Digital Planet Platformprovides a complete Email The group sending list cleaning function has the following capabilities:

lsupportBatch import detection of 100,000+ mailboxes

lAutomatically perform format verification+ SMTP simulation + letter rejection judgment

lIdentify temporary email platform addresses and eliminate them in batches

lOutput structured data (email address, status, recommended actions)

lCan be connected to existing email systems to achieve one-click import and cleaning before mass sending

Not only that, Digital Planet can also analyze the test results by country, region, and email service provider, allowing you to understand the quality of the list at a glance and truly achieve"Before sending, check first."

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