How to Clean Up Broken Subscriber Names in Bulk (Without Fixing Them One at a Time)

You know the ones. Blank names. Single letters. ALL CAPS. The word "undefined" sitting right there in the greeting line of an email that's supposed to feel personal.

We've all seen that email. And if we're honest, we've probably sent it too 😅

I wanted every email I send to open with the person's actual name, because that's the whole point of personalizing it. But I had hundreds of broken ones, and the fix looked like this:

• Notice a bad name when an email goes out
• Open the subscriber, fix that one by hand
• Miss the other forty
• Forget about it until the next embarrassing send

Messy subscriber data isn't a diligence problem. It's a "never urgent enough" problem.

Cleanup work never rises to the top of the list on its own. It's never the most important thing today, so it quietly stays broken. Or you hand it to a team member and pay for a task nobody should be doing by hand.

Why I built this

I didn't want to fix these manually, and I didn't want to pay someone to either. So I started by having AI pull everyone who'd joined my list recently and flag the names that needed fixing: blanks, single characters, "undefined," anything all lowercase, anything that was actually an email address.

Then I had it do the part that made this worth building. For every flagged person, it looked at their email address and suggested a fix. Empty first name, but the email is [email protected]? It suggests Stephanie.

Most of the time that worked. Some of the time it didn't. But it turned "go guess hundreds of names" into "glance at a table and say yes or no," which is a completely different job.

I didn't let a bot loose on my list. I kept the judgment. I just handed off the tedious part.

That distinction matters more than the tool, and I think it's where a lot of people get AI wrong in both directions. Either they won't let it touch real data at all, so nothing gets cleaned. Or they let it rewrite everything unsupervised and end up with a confident mess. The version that works is in the middle: AI does the finding and the suggesting, you do the approving, and only then does anything change.

Now it runs on a schedule. Every week it checks the new subscribers, flags the messy ones, and brings me a table. I review it in about two minutes, approve, and the corrections get applied in bulk. My list stays personal and it costs me nothing but that two-minute glance 🙌

What actually changes

Where to start

You don't need a fancy setup. You need two things: a way to get the messy names in front of AI, and a rule for what counts as messy.

Here's the rule I use. A first name is broken if it's:

• Blank, or a single character, or literally the word "undefined"
• An email address that got pasted into the name field
• All lowercase or ALL CAPS, because "hey sarah" reads like a bot wrote it

And here's the rule for fixing them: the email address is your best clue, but only when it's obvious. sarah.jones@ gives you Sarah. jpeters@ or info@ or hello@ gives you nothing, and that's fine.

A blank name is better than a wrong one. A blank gets your fallback greeting. A wrong name gets a reply that says "who's Jennifer?"

Run that once and you'll see exactly how many broken names you've been sending to. It's usually more than you think.

Let's be real about the boring stuff

Nobody builds a business so they can fix first names in a database. I get it.

But here's my actual question for you, and it's bigger than email: what's the small, boring cleanup task in your business that you keep meaning to do and never actually do?

Every business has one. Duplicate contacts. Untagged leads. A folder nobody's looked at since March. The reason it never gets done isn't laziness. It's that boring-and-important always loses to urgent-and-anything.

So stop trying to win that fight. Build the thing that does the boring part on its own, and keep the two minutes of judgment for yourself 👉