◆ Mailchimp

Analyze campaign 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 taskI need a clean breakdown of last week's email campaign performance to share with the marketing…+
I need a clean breakdown of last week's email campaign performance to share with the marketing director by Tuesday. Pull opens, clicks, click-to-open rate, unsubscribes, bounces, and revenue attributed to the campaign for the run from July 7 to July 13. Highlight any segments that outperformed the list average and call out one surprising datapoint to mention in the meeting.
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 I show this to the team, make the performance story obvious: put opens and clicks at the…+
Before I show this to the team, make the performance story obvious: put opens and clicks at the top, calculate click-to-open and conversion rate under each segment, surface revenue per recipient beside each segment, and flag segments where CTR or revenue is 20%+ above or below the list average. Note any email that underperformed by more than 30% and why that might be (subject line, send time, or audience mismatch).
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentWe sent the July 10 promotional blast to 18,000 subscribers and clicks plunged 40% from our…+
The dashboard shows a 40% drop in clicks on the main campaign.
We sent the July 10 promotional blast to 18,000 subscribers and clicks plunged 40% from our average. I own audience and content but can't see whether subject line fatigue, a broken link, or a tracking error caused it. Which is the most likely diagnosis and what exact checks should I run now to confirm quickly?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternAcross the past six campaigns we keep missing revenue forecasts and then scramble to find the…+
I keep getting last-minute surprises in campaign metrics.
Across the past six campaigns we keep missing revenue forecasts and then scramble to find the cause. I suspect inconsistent attribution, unclear naming for UTM parameters, and teams sending unapproved list tweaks. Which habit should we change first to stop these fires and what concrete rule and checklist will prevent the next surprise?
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.