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Bulk update user-defined fields

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 taskUpdate the 'Last Purchase Date' field for all contacts who bought the 'Summer Collection' in…+
Update the 'Last Purchase Date' field for all contacts who bought the 'Summer Collection' in July to '2023-07-31'.
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 update the 'Customer Segment' field for everyone who bought the 'Holiday Bundle' last…+
I need to update the 'Customer Segment' field for everyone who bought the 'Holiday Bundle' last year. Before you do, look at their purchase history – if they've bought more than three times, make them 'VIP Customer'; otherwise, they're 'Returning Customer'. This helps us tailor next year's offers.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentMy last email campaign for 'new customers' went out, and I immediately got replies from people…+
My last email campaign for 'new customers' went out, and I immediately got replies from people saying they've been customers for years.
My last email campaign for 'new customers' went out, and I immediately got replies from people saying they've been customers for years. I suspect the 'Customer Status' field is wildly inaccurate for a large chunk of my list. I'm afraid of alienating more loyal customers with irrelevant messages. How can I quickly diagnose the extent of the inaccuracy and what's the safest way to bulk update this field without accidentally re-categorizing active buyers as lapsed, or vice-versa?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternMy user-defined fields are often out of date, leading to irrelevant emails and frustrated…+
My user-defined fields are often out of date, leading to irrelevant emails and frustrated customers.
My user-defined fields are often out of date, leading to irrelevant emails and frustrated customers. I spend too much time manually correcting individual profiles or apologizing after a campaign. What habit should I change to ensure these fields stay current and accurate, so my targeting is always spot-on and I'm not constantly putting out fires?
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.