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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 taskGenerate a report showing the open rates and click-through rates for all campaigns sent in June…+
Generate a report showing the open rates and click-through rates for all campaigns sent in June 2024.
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 acceptI need to understand what content performs best for our 'New Customer Welcome Series'. Create a…+
I need to understand what content performs best for our 'New Customer Welcome Series'. Create a report that breaks down open rates and click-throughs for each email in that series, and highlight any links that got significantly more or less attention.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentThe 'Summer Sale' campaign I sent last Friday had a fantastic open rate, but the actual sales…+
My recent campaign for the 'Summer Sale' had a high open rate but very few purchases, and I'm not sure why.
The 'Summer Sale' campaign I sent last Friday had a fantastic open rate, but the actual sales conversions were really low, which is frustrating. I'm worried the offer wasn't clear, or maybe the link was buried. What data should I look at to diagnose why people opened but didn't buy, and what's the best next step to salvage some sales?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI spend too much time manually digging through campaign data after each send, trying to figure…+
I spend too much time manually digging through campaign data to find actionable insights.
I spend too much time manually digging through campaign data after each send, trying to figure out what worked and what didn't. I often miss patterns because I'm just looking at individual numbers. What habit should I change to more effectively learn from my campaign performance and make better decisions for future emails?
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.