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Import subscriber contacts

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 taskImport 4,200 subscriber contacts collected at the May trade show from the CSV file John…+
Import 4,200 subscriber contacts collected at the May trade show from the CSV file John exported. Map fields so First Name, Last Name, Email, Company, and Source='May Trade Show' are set. Suppress duplicates and unsubscribes, and run a quick validation to flag invalid addresses. Report how many imports failed and which rows they were before I assign follow-up.
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 import the trade show list, make it easy for the ops lead to approve — surface the…+
Before I import the trade show list, make it easy for the ops lead to approve — surface the percentage of addresses likely invalid, highlight records missing names or company, call out any '@example' or disposable domains, and show how duplicates will be handled. Suggest a conservative dedupe rule that keeps the highest-engaged record.
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 opened John's trade show CSV and found two different column formats merged together so some…+
The CSV has two different column formats from two badge scanners.
I opened John's trade show CSV and found two different column formats merged together so some rows have company in the email column. I need to import these 4,200 rows without trashing the main list, but I don't know whether to split the file, re-export from the scanner, or run a script to re-map. Recommend the most likely safe approach and the exact next steps to fix the file in the next hour.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternEvery event import creates messy CSVs, manual re-mapping and late-night fixes that eat two days…+
We repeatedly import messy lists from events.
Every event import creates messy CSVs, manual re-mapping and late-night fixes that eat two days per quarter. Where are we losing time and what three operational habits should we change—covering how we capture data at events, the export format, and pre-import validation—so imports stop being a scramble and the lists are usable on first pass?
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.