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A/B test email content

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 A/B test two versions of the promotional email body. Use the April newsletter list…+
I need to A/B test two versions of the promotional email body. Use the April newsletter list and split it evenly: Version A keeps the current layout with a single hero image and one CTA button; Version B swaps the hero for a short product GIF and adds a text link above the fold. Measure click-through rate to the product page over 72 hours, pick the winner at 95% confidence, and then send the winning version to any remaining segments. Verify image sizes and alt text before sending.
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 send the content split to the client’s list, make it easier for a reviewer to approve:…+
Before I send the content split to the client’s list, make it easier for a reviewer to approve: surface the expected impact on clicks for adding a second CTA, show where the primary CTA sits above the fold in both variants, flag any accessibility issues (missing alt text or poor color contrast), and call out any dynamic content or broken links that would make an editor hesitate.
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 launched two bodies and Variant B (animated hero + extra text link) has a higher early click…+
I launched two email bodies and Variant B shows more clicks early on.
I launched two bodies and Variant B (animated hero + extra text link) has a higher early click rate, but our product page had intermittent latency yesterday and one segment includes previously inactive subscribers. I don’t know whether clicks reflect real preference or the site issue skewed behavior. Should I wait the full 72 hours, exclude the affected time window, or rerun the test? What’s the most likely diagnosis and next move?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternOver months we keep rerunning content tests because variations are launched without controlling…+
Content A/B tests frequently give inconclusive or misleading results.
Over months we keep rerunning content tests because variations are launched without controlling page performance, list recency, or subject line influence, wasting creative time. Which single habit change — checklist item before launch, cross-team gate with product, or fixed testing window — will most reduce false positives and speed decisions? Explain how to implement 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.