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How to Break Down Performance by Job Title in LinkedIn Ads With AI

Founder written
Author: Ahmed Ashraf|4 min read|Updated October 24, 2026
$1B+ ad revenue generated $500M+ managed Ex-Scandiweb paid media lead 630+ MCP tools

This is how to break down performance by job title in LinkedIn Ads with AI: connect your LinkedIn Ads account to PaidSync.ai, then ask Claude to break my LinkedIn performance down by member job title, so you see which titles click and which only cost. It only reads and changes no targeting.

Which Tools Do the Work

LinkedIn can split results by the job title of the member, which no other platform does as directly:

get_linkedin_performance_by_dimension and get_linkedin_campaign_targeting only read your account, so you can break down performance by job title as often as you need.

How the Workflow Is Built

ToolWhat it does
get_linkedin_performance_by_dimensionReturns results per job title
get_linkedin_campaign_targetingShows the audience to compare

Look for titles with real clicks and no conversions, and for titles you did not target that respond. Act on a trend, not on a title with a handful of impressions.

How to Break Down Performance by Job Title in LinkedIn Ads With Claude in 5 Steps

These steps use Claude to break down performance by job title in LinkedIn Ads. PaidSync.ai also works in ChatGPT, and the prompts are the same.

1

Connect LinkedIn Ads to PaidSync.ai

Register at paidsync.ai and connect LinkedIn Ads with LinkedIn's own sign-in screen. Use a LinkedIn login that has access to the ad account where you intend to break down performance by job title.

2

Add PaidSync.ai to Claude

Open Claude's connector directory, add PaidSync.ai and sign in. Ask "list my LinkedIn ad accounts", then pick the account where you will break down performance by job title.

3

Pick the campaign and dates

Choose the campaign that targets a title-based audience and a range long enough to have volume.

4

Split by title

Ask for the breakdown by job title and sort it by spend and by conversions.

5

Plan the targeting change

Note titles to add or exclude, then use the targeting workflow to apply them.

How to Check the Result

Re-run the breakdown after the change and see whether the spend moved toward titles that convert.

Use these two prompts to break down performance by job title in LinkedIn Ads, in this order.

"Break down the last 30 days of performance for campaign 123456789 by member job title."
Reads your account and changes nothing.
"Which job titles had the most spend and no conversions?"
Reads your account and changes nothing.

How PaidSync.ai Protects You

Every LinkedIn Ads tool PaidSync.ai offers is on the LinkedIn Ads MCP Server page, including the tools used to break down performance by job title.

Frequently Asked Questions

How do I break down performance by job title in LinkedIn Ads?

In Campaign Manager this is the demographics tab. With PaidSync.ai, ask Claude for the title breakdown and a short read of it.

What other splits exist?

The same tool also splits by company, industry, seniority, country, region, campaign and creative.

Can ChatGPT break down performance by job title in LinkedIn Ads?

Yes. The tools used here only read, and PaidSync.ai reports on LinkedIn Ads in the ChatGPT app as well as in Claude, so you can break down performance by job title there with the same prompt.

What do I need before I break down performance by job title in LinkedIn Ads?

A connected LinkedIn ad account and a campaign with enough traffic to split.

How much does it cost?

PaidSync.ai is free for 15 tasks a month with no card, enough to break down performance by job title in LinkedIn Ads and see the result. Pro starts at $99 a month. See pricing.

How to Update Campaign Targeting in LinkedIn Ads With AI→ How to See Which Companies Respond in LinkedIn Ads With AI→ 15 LinkedIn Ads Prompts for Claude (B2B Lead Gen 2026)→ LinkedIn Ads MCP Server with Full Write Access→

PaidSync.ai runs 630+ tools across 14 ad and analytics platforms. Connect your accounts once and use them in the AI assistant you already work in.

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