◆ Adobe Marketo Engage

Build a data hygiene strategy

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 taskExport a list of all leads created in the last six months without a 'Company Name' field…+
Export a list of all leads created in the last six months without a 'Company Name' field populated. I need this by end of day Tuesday for the data enrichment team.
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 this lead list to the data enrichment vendor, can you add a column for 'Lead…+
Before I send this lead list to the data enrichment vendor, can you add a column for 'Lead Source' and 'Creation Date'? I want to make sure they prioritize based on our highest-value channels and newest leads, not just fill in missing fields randomly.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentOur recent campaign performance report shows a 15% drop in MQLs, but our lead volume is up. I'm…+
Our recent campaign performance report shows a 15% drop in MQLs, but our lead volume is up.
Our recent campaign performance report shows a 15% drop in MQLs, but our lead volume is up. I'm worried our data quality issues are masking good leads or miscategorizing them before sales even sees them. I can't tell if it's a tracking error or a genuine hygiene problem. What's the best first step to figure out what's really going on?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI spend too much time manually cleaning lead lists before they go to sales or marketing…+
I spend too much time manually cleaning lead lists before they go to sales or marketing programs.
I spend too much time manually cleaning lead lists before they go to sales or marketing programs, and it's always a rush. This eats into my time for strategic work and leads to errors. What habit do I need to change to build a proactive, automated approach to data hygiene?
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.