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A/B test subject lines

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 taskI need to run an A/B test on this upcoming promo to see which subject line drives opens. Send…+
I need to run an A/B test on this upcoming promo to see which subject line drives opens. Send the campaign to our April list with two subject lines: “Spring launch — 20% off for three days” and “Limited: 20% off starts Thursday.” Randomize recipients evenly, hold statistical confidence at 95%, let the winner after 48 hours auto-send to the remaining subscribers, and pause if unsubscribe rate exceeds 1% during the test. Confirm the test settings and scheduled send time before launching.
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 run this subject-line split, make the test easier for a busy reviewer: surface the…+
Before I run this subject-line split, make the test easier for a busy reviewer: surface the projected sample size needed for a 95% confidence win, show estimated additional opens each variant must generate to be decisive, highlight any words that may trigger spam filters (like ‘Free’ or excessive punctuation), and flag if our send window conflicts with other mailings to the same list in the last 48 hours.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentI sent both subject lines to a small seed group and the second variant got higher opens, but…+
I just set two subject lines and hit send to a seed group.
I sent both subject lines to a small seed group and the second variant got higher opens, but I’m not sure if that’s noise or a true advantage. The list is 12,000 with mixed engagement, and past tests swung after 72 hours. Should I let the 48-hour rule run, increase sample size, or pick the seed winner now and roll out to avoid missing the promo window? Tell me the likely cause and the best next step.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternAcross campaigns we waste time running subject-line splits that never reach significance…+
Subject-line tests often fail to produce clear winners.
Across campaigns we waste time running subject-line splits that never reach significance because lists skew between active and dormant users and we start tests during irregular send windows. How should I change the habit — sample selection, timing, or test length — so we get decisive results without delaying launches? Recommend one operational change and how to enforce it.
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.