◆ Google Ads

Structure Google Ads to target customers

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 taskSet up a new ad campaign for The Bike Shop targeting people searching for 'electric bikes'…+
Set up a new ad campaign for The Bike Shop targeting people searching for 'electric bikes' within 10 miles of the store, with a daily budget of $20, and launch it by Tuesday morning.
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 launch the new campaign for The Bike Shop, help me structure the ad groups to really…+
Before I launch the new campaign for The Bike Shop, help me structure the ad groups to really capture customers ready to buy. Suggest specific ad copy variations for 'electric bikes' versus 'bike repair' searches, and make sure the negative keywords are robust enough to avoid irrelevant clicks like 'toy bikes'.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentThe Bike Shop owner is insisting we target 'bike enthusiasts' for his new high-end road bikes,…+
The Bike Shop owner wants to target 'bike enthusiasts' but the search volume is too low and broad.
The Bike Shop owner is insisting we target 'bike enthusiasts' for his new high-end road bikes, but when I look at the search data, that term is too vague and has almost no commercial intent. I'm afraid if I tell him it won't work, he'll think I'm not trying hard enough. How do I explain why this won't be effective without alienating him, and what's a better, more specific way to target his ideal customer for these bikes?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI consistently struggle to translate a client's broad target descriptions, like 'people who…+
I struggle to translate client's broad target descriptions into actionable ad groups.
I consistently struggle to translate a client's broad target descriptions, like 'people who love coffee' or 'homeowners looking to renovate,' into actionable, high-performing ad groups. This leads to wasted spend and rework. What habit should I change to better break down these vague client requests into precise, effective targeting strategies from the start?
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 Google Ads'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.