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Schedule campaign send

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

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskThis campaign must go out at a time our customers read mail. Schedule the spring product update…+
This campaign must go out at a time our customers read mail. Schedule the spring product update to send Friday at 10:00 a.m. local time for each subscriber’s time zone, stagger the send into three waves to keep our sending reputation steady, and set the campaign to respect unsubscribes immediately. Confirm the scheduled time and total audience size.
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 scheduling, make the timing defensible. Show open-rate and conversion benchmarks by…+
Before scheduling, make the timing defensible. Show open-rate and conversion benchmarks by local hour for the last three similar campaigns, recommend the best two-hour window and explain why. Flag any large timezone groups that would push load beyond our sending-limit and suggest an alternate stagger plan.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentYesterday the campaign was cut off by our daily send limit and the rest went out late. I’m…+
We’ve hit the provider daily send cap before noon
Yesterday the campaign was cut off by our daily send limit and the rest went out late. I’m afraid we’ll miss prime engagement windows and upset stakeholders. I don’t know which segments drove the cap or whether a stagger would have avoided it. Which audience slices should go in the first wave, what staggering size protects us, and how do I change the schedule without delaying the whole campaign?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternEvery quarter we schedule large campaigns and repeatedly hit provider caps, forcing resends and…+
We keep bumping up against send limits when big lists go live
Every quarter we schedule large campaigns and repeatedly hit provider caps, forcing resends and manual stage plans. This steals priority time and makes deadlines brittle. Recommend one change to our scheduling habit or list hygiene that prevents caps, a rule-of-thumb for wave sizes, and how to document the plan so the ops team can run it without me.
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.