◆ Google Ads

Monitor Google Analytics data

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 taskCheck the conversion rate for the 'Summer Sale' campaign in Google Analytics for the last 30…+
Check the conversion rate for the 'Summer Sale' campaign in Google Analytics for the last 30 days and send it to David by end of day.
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 report to the client on the 'New Arrivals' campaign, analyze the Google Analytics…+
Before I report to the client on the 'New Arrivals' campaign, analyze the Google Analytics data. Tell me if the traffic quality from the advertising is good, or if we're just getting a lot of clicks that don't convert to sales. Flag any anomalies that might make the client question our spend.
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 client just asked why their organic traffic dropped right after we launched the 'Winter…+
The client just asked why their organic traffic dropped right after we launched a new ad campaign.
The client just asked why their organic traffic dropped right after we launched the 'Winter Collection' ad campaign, and I'm worried they think we cannibalized their SEO efforts. I need to quickly see if there's any correlation in Google Analytics between our ad spend increase and their organic decline for the last 60 days. What's the most likely explanation and how should I frame this to them without looking like I'm making excuses?
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 getting caught flat-footed when clients ask about unexpected traffic shifts or weird…+
I keep getting caught flat-footed when clients ask about unexpected traffic shifts.
I keep getting caught flat-footed when clients ask about unexpected traffic shifts or weird spikes that don't make sense. I need a better habit for regularly reviewing Google Analytics beyond just the basic campaign metrics. What's the one thing I should start doing daily to spot these issues before the client does?
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.