◆ Adobe Marketo Engage

Understand Marketo engagement maps

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.

3prompts

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskShow me the engagement map for the 'New Customer Onboarding' program, specifically focusing on…+
Show me the engagement map for the 'New Customer Onboarding' program, specifically focusing on email opens and clicks for the first three emails.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
BDecide — diagnose the stuck momentThe 'High-Value Prospect Nurture' program isn't generating MQLs as expected, and the sales team…+
The 'High-Value Prospect Nurture' program isn't generating MQLs as expected, and the sales team is complaining about the quality of leads they're receiving.
The 'High-Value Prospect Nurture' program isn't generating MQLs as expected, and the sales team is complaining about the quality of leads they're receiving. I'm afraid our content isn't resonating, or the program flow is too long. I can't tell if prospects are disengaging early, or if our scoring model is flawed. What's the most likely reason for the low MQL conversion, and what's the quickest way to diagnose the specific point of failure in the engagement map without overhauling the entire program?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CBecome — change the patternI frequently find myself guessing why certain nurture programs underperform, without a clear…+
I frequently find myself guessing why certain nurture programs underperform, without a clear way to pinpoint the exact breakdown in the customer journey.
I frequently find myself guessing why certain nurture programs underperform, without a clear way to pinpoint the exact breakdown in the customer journey. This leads to reactive, trial-and-error changes that waste time. I need to stop making assumptions. What habit should I change to more effectively use engagement maps to proactively identify and address bottlenecks in our nurture programs, so I can make data-driven improvements every time?
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.