LinkedIn targeting decisions compound over time — audiences get stale, exclusions don't get updated, and you end up spending against the same cold list you built eight months ago. This stack runs a systematic audit of your current audience configuration. Pull Campaign Manager audience performance data, cross-reference it with CRM contact quality scores, and run the combined dataset through a Claude targeting audit. You get a structured brief identifying which audiences to expand, which to suppress, and what new segments to test next — before another month of budget flows to the wrong accounts.
The Stack
The Prompt
This stack is built around the Ad Creative Audit Prompt. Here's the abbreviated version — the full prompt with all variables and usage notes is on its own page.
You are a B2B paid social specialist auditing LinkedIn Ads audience targeting performance. Review the audience segment performance data and CRM lead quality data provided below. Identify audience segments with high spend but poor ICP fit (low CRM quality score, high disqualification rate). Identify audience segments with strong CPL and pipeline contribution — flag for budget expansion. Surface audience overlaps that may be inflating CPL through internal bid competition. Output a structured targeting brief with specific expansion, suppression, and new segment test recommendations.[ ... continued — see full prompt ]
The Workflow
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Export audience performance from Campaign Manager
Pull the past 60 days of audience segment performance from LinkedIn Campaign Manager — impressions, clicks, CPL, and lead volume by audience definition.
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Pull CRM lead quality data
Export LinkedIn-sourced leads from Salesforce — ICP score, qualification rate, and pipeline contribution by audience segment. Map back to Campaign Manager audience names.
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Identify the audience quality gap
In your data set, flag segments where spend is high but CRM quality is low (volume without pipeline). Flag segments where CPL is efficient and quality is high (scale candidates).
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Run the targeting audit prompt
Paste the combined performance and quality dataset into the Ad Creative Audit prompt adapted for targeting. Claude identifies suppression targets, expansion candidates, and new segment hypotheses.
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Build and implement the segment plan
Document the new targeting configuration in Notion. Update audience definitions, exclusions, and bid adjustments in Campaign Manager based on Claude's targeting brief.
What This Replaces
- Targeting configurations that haven't been reviewed since the campaign launched
- Audience decisions based on CPL alone without CRM quality data in the loop
- Exclusion lists that never get updated because nobody owns the process
Related Stacks
New stacks drop weekly.
Each one includes the tools, the Claude prompt, and the workflow logic. Free — built for in-house B2B demand gen managers.