◆ Google Ads

Control data Google uses for ads

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 taskUpload our customer list with emails and phone numbers to the ad platform for a custom…+
Upload our customer list with emails and phone numbers to the ad platform for a custom audience, making sure it's hashed and set to only match existing customers, then apply it to the 'Q4 Retention' campaign by end of day Friday.
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 upload this new customer list for retargeting, make sure we're not accidentally…+
Before I upload this new customer list for retargeting, make sure we're not accidentally showing marketing messages to people who just unsubscribed from our emails last week. Also, double-check that the data is prepared to maximize match rates without risking privacy compliance.
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 match rate for the customer list I just uploaded is only 20%, far below what we saw last…+
Our new customer list upload is showing a much lower match rate than expected, and I'm worried about wasting budget.
The match rate for the customer list I just uploaded is only 20%, far below what we saw last quarter. Priya from sales is asking why our retargeting isn't hitting enough people, and I'm afraid to tell her we might have bad data or a platform issue. What's the most likely reason for this low match rate, and what's the first thing I should check before I report back to Priya?
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 lose time and credibility when I upload customer lists for ad targeting because…+
I keep struggling to get high match rates when uploading customer lists for ad targeting.
I consistently lose time and credibility when I upload customer lists for ad targeting because the match rates are always lower than I expect. I end up scrambling to re-format or re-upload, delaying campaigns. What habit should I change in my data preparation or upload process to ensure consistently high match rates 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.