◆ Mailchimp

Analyze content performance

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 for last week's 'Spring Sale' email campaign, showing the open rate,…+
Generate a report for last week's 'Spring Sale' email campaign, showing the open rate, click-through rate, and total sales attributed to it.
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 acceptLook at the last three email campaigns for 'New Arrivals'. Tell me which subject lines got the…+
Look at the last three email campaigns for 'New Arrivals'. Tell me which subject lines got the highest open rates and which call-to-action buttons led to the most clicks, so I can learn what resonates best with my customers.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentOur last product launch email had a terrible click-through rate, but a high open rate. I…+
Our last product launch email had a terrible click-through rate, but a high open rate.
Our last product launch email had a terrible click-through rate, but a high open rate. I thought the subject line was great, but now I'm worried the content inside was confusing or boring. I can't tell if the offer itself was bad or if I just failed to present it well. What's the likely diagnosis, and what should I look at first to figure out why no one clicked?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI keep guessing what content will perform best in my emails, and it feels like a shot in the…+
I keep guessing what content will perform best in my emails.
I keep guessing what content will perform best in my emails, and it feels like a shot in the dark every time. I waste a lot of time writing copy that doesn't convert. What habit can I change to consistently use data to inform my content choices and improve engagement across all my campaigns?
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.