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Export LinkedIn analytics reports

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
See the prompt↓All LinkedIn tasks

The same task, four prompts

today's deadline · the next reviewer · the stuck moment · the pattern
AExecute — do the immediate taskExport the campaign performance data for the 'Summer Sale' campaign from June 1st to August…+
Export the campaign performance data for the 'Summer Sale' campaign from June 1st to August 31st, including impressions, clicks, and conversions.
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 send this to the sales director, export the 'Summer Sale' campaign data. Organize it…+
Before I send this to the sales director, export the 'Summer Sale' campaign data. Organize it to clearly show which ad creatives drove the most sales and identify any geographic regions that significantly over or underperformed. Make it easy for him to see the key takeaways without deep diving.
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
CDecide — diagnose the stuck momentI need to share our Q3 recruitment campaign results with the executive team, but the export is…+
I need to share our Q3 recruitment campaign results with the executive team, but the export is missing key demographic data that I know should be there.
I need to share our Q3 recruitment campaign results with the executive team, but the export is missing key demographic data that I know should be there. I'm afraid they'll question the completeness of our reporting, and I can't tell my manager I don't know why it's missing. What's the most likely reason for the missing data, and what's the best next move to get a complete and accurate report before the presentation tomorrow?
when the reply comes backPush once: ask it to sharpen the weakest part, and to say what it assumed. Helpful?
DBecome — change the patternI frequently waste time manually cleaning and reformatting exported data before I can use it…+
I frequently waste time manually cleaning and reformatting exported data before I can use it for analysis or reporting.
I frequently waste time manually cleaning and reformatting exported data before I can use it for analysis or reporting. This often leads to errors and delays. What habit should I change in how I approach data exports and subsequent analysis to ensure the data is immediately usable and trustworthy, saving me hours each week?
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 LinkedIn'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.