◆ Mailchimp

Clean up contact data

This is real work, not a feature someone invented — it comes from real job ads and real questions people asked. Below are four ready AI prompts: get it done, make it easy for the next person to say yes to, work out the right move when you are stuck, and stop it coming back.

4prompts
See the prompt↓All Mailchimp tasks

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskRemove all subscribers from the 'Inactive Customers' list who have not opened an email in the…+
Remove all subscribers from the 'Inactive Customers' list who have not opened an email in the last 12 months.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BImprove — make it easier to acceptBefore our big Q4 push, I want to ensure our 'Loyal Customers' list is as clean as possible.…+
Before our big Q4 push, I want to ensure our 'Loyal Customers' list is as clean as possible. Identify any duplicate entries, subscribers with invalid email addresses, or anyone who hasn't opened an email in over 18 months, and flag them for review so we can decide whether to remove them.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentMy last campaign to the 'All Subscribers' list saw a noticeable drop in deliverability and a…+
I just noticed a significant drop in deliverability for my last campaign, and I'm worried about our sender reputation.
My last campaign to the 'All Subscribers' list saw a noticeable drop in deliverability and a higher bounce rate than usual. I'm afraid our list might be getting stale or full of bad addresses, which could hurt our sender reputation. What's the quickest way to diagnose the specific issues causing the bounces, and what's the immediate action I should take to protect our deliverability?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI constantly worry that my email list is full of old, inactive, or invalid contacts, which…+
I constantly worry about the quality of my subscriber list and its impact on deliverability and engagement.
I constantly worry that my email list is full of old, inactive, or invalid contacts, which hurts my deliverability and makes my engagement metrics look worse than they are. I feel like I'm always putting out fires instead of proactively managing list health. What habit should I change to maintain a consistently clean and engaged subscriber list?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?

Questions people actually ask

honest answers, no sign-up

Every task here was seen in the real world. Someone doing the job named it, a real job ad asked for it, or a lot of people asked about it online.

If nothing real showed a task, it is not on the page. That is the whole rule.

They are the same job approached four ways, because what you need depends on where you are.

Get it done today. Make it easy for the next person to say yes to. Work out the right move when you are stuck. Learn the pattern so the job stops coming back.

For most of these jobs it can carry the heavy thinking - draft it, sort it, check it, rehearse it with you.

It cannot sit in your chair, take the blame when a number is wrong, or notice what nobody wrote down. Let it do the first 80%. Keep the last 20% that is truly yours.

No. Copy any prompt and paste it into the AI you already use. No account, no score, no wall in the way.

Any of them. The prompts describe the work rather than naming a product, so they are not tied to one assistant.

That is also why they keep working when you switch.

Change it freely. Every prompt is a starting line, not a rule.

Put in your real numbers, your real names and your real deadline. The more you make it yours, the better the answer comes back.

The tasks come from real job ads, published job data and the questions people ask in public forums.

The steps come from Mailchimp's own documentation, with practitioner sources for the traps the manual does not mention.

Push once. Ask it to sharpen the weakest part and to say what it assumed.

Most wrong answers come from a missing detail rather than a bad prompt - tell it the thing it could not know.