◆ Adobe Marketo Engage

Bulk import data into Marketo

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 the attached CSV file of new event attendees into the 'Q3 Event Leads' list, ensuring…+
Import the attached CSV file of new event attendees into the 'Q3 Event Leads' list, ensuring the 'Source' field is set to 'Industry Conference 2024'.
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 this list of new prospects from the recent trade show, cleanse the data for…+
Before I import this list of new prospects from the recent trade show, cleanse the data for duplicates and standardize the 'Company Name' and 'Job Title' fields. We need clean data for accurate segmentation and personalization, so sales isn't wasting time on bad records.
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 just imported a list of 5,000 new contacts, and now our 'New Leads' smart list shows 10,000,…+
I just imported a list of 5,000 new contacts, and now our 'New Leads' smart list shows 10,000, indicating a massive duplication.
I just imported a list of 5,000 new contacts, and now our 'New Leads' smart list shows 10,000, indicating a massive duplication. I'm terrified of sending duplicate communications or polluting our database. I don't know if my matching criteria was wrong or if the file itself had duplicates. What's the immediate fix to remove the duplicates, and how can I prevent this from happening again on this import?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternWe frequently encounter issues with data quality after bulk imports, leading to segmentation…+
We frequently encounter issues with data quality after bulk imports, leading to segmentation errors and incorrect outreach.
We frequently encounter issues with data quality after bulk imports, leading to segmentation errors and incorrect outreach. This impacts our campaign effectiveness and sales' trust in our data. What habit should I change in our bulk import process to consistently ensure data cleanliness and accuracy before it hits our database?
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 Adobe Marketo Engage'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.