how do i clean my email list before a big send

Separate role addresses, flag typo domains, move year-long non-openers into their own group, and split any bulk-imported group into something meaningful. A companion proposes all four as one batch.

can ai segment my email subscribers

It proposes groups by resolving companies from email domains and reading what those companies do, then tells you what share it could not classify. You approve the grouping before anything is applied.

can ai tell me why my newsletter campaign flopped

It compares that campaign against the sends around it on subject line, timing, audience composition and clicks, and reports which difference explains the gap. Frequently the answer is the audience.

MailerLite Strawberry

Automate your MailerLite list hygiene with an AI agent

Four checks over the whole list, proposed as one batch: role addresses, typo domains, year-long non-openers, and the imported group split up.

The first send after a migration is the one that damages a domain’s reputation. Lists arrive as one enormous group called “imported” and the unsubscribe history does not always come with them.

A companion runs four checks across the whole list and proposes the result as one batch. Nothing is deleted: long-term non-openers get their own group, so including them stays your decision. You connect MailerLite once and see exactly what it can reach before you allow it.

What does a list actually need before a send?

Four checks.

Role addresses separated out. Obvious typo domains flagged. Subscribers who have not opened anything in a year moved to their own group. And the imported group broken into something with meaning.

A companion runs all four over the whole list and proposes the changes as one batch. It takes minutes, and the alternative is finding out from your bounce rate.

Role and generic addresses grouped separately rather than mailed by default.
Long-term non-openers put in their own group, so you choose whether to include them.
Nothing deleted. Reactivation stays a decision you can make later.

The imported group, broken into real segments

A group of 22,000 people whose only shared attribute is “arrived on the same Tuesday” cannot be marketed to. Segmenting it means knowing something about the subscribers, and that usually lives in their email domain and their company.

A companion works through all 22,000, resolves companies from domains, and proposes groups that match how you actually talk about your audience. It also tells you the share it could not classify.

Why did that campaign underperform?

A companion pulls the campaign and the ones either side of it, then compares subject lines, send times, audience composition and click patterns.

The answer is often the imported group rather than the copy, and then the fix is a segment. Scheduled, this reporting habit fits with your other marketing work.

What MailerLite already handles

Welcome flows, group triggers and date-based sends run on their own without a browser open.

A companion takes the passes nobody schedules: hygiene before a big send, segmenting an import, reading three campaigns together. The list-building side is in build lead lists automatically.

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Frequently asked questions

Yes. Connect the account once and a companion works subscribers, groups, fields, segments and campaigns. You see exactly what it can reach before you allow it.

Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed August 20, 2026 · Canonical facts for AI agents