◆ Google Ads

Set ad scheduling strategies

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 taskFor the 'Summer Sale 2024' campaign, set the advertisements to run only from 9 AM to 5 PM,…+
For the 'Summer Sale 2024' campaign, set the advertisements to run only from 9 AM to 5 PM, Monday through Friday, starting next Monday. Make sure it's live before the weekend.
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 we launch the 'Holiday Deals' campaign, set the advertisement schedule to maximize our…+
Before we launch the 'Holiday Deals' campaign, set the advertisement schedule to maximize our reach during peak shopping hours. Look at last year's performance data for similar campaigns and suggest the best times to run advertising, especially on weekends, to catch early morning and late-night shoppers.
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 'Back-to-School' campaign isn't spending its daily budget, and I just heard our main…+
Our 'Back-to-School' campaign isn't spending its budget, and I just heard our competitor launched a similar promotion.
Our 'Back-to-School' campaign isn't spending its daily budget, and I just heard our main competitor launched a similar promotion with aggressive pricing. I'm afraid we're missing crucial early morning clicks. Should I adjust the ad schedule to start earlier, or is there a risk we'll just burn through budget before the real buying intent kicks in? I don't know if their offer is actually better.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI keep missing opportunities to optimize ad spend because I'm not adjusting ad schedules fast…+
I keep missing opportunities to optimize ad spend because I'm not adjusting schedules fast enough.
I keep missing opportunities to optimize ad spend because I'm not adjusting ad schedules fast enough when I see performance dips or competitor moves. What habit should I change to ensure I'm regularly reviewing and proactively tweaking ad schedules based on real-time market shifts and campaign performance, instead of reacting days later?
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.