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LinkedIn Campaign Performance Analysis & Notion Report

The workflow effectively automates gathering LinkedIn advertising data, performing performance analysis, and documenting the insights in Notion for easy reference and sharing.

This was inspired by the need to conduct a more systematic audit of LinkedIn ads. While LinkedIn ads are difficult to use, they give you a wealth of metrics regarding your paid campaigns. I also provide links below to LinkedIn API documentation showing the various metrics you can research against.

Tool(s) used:

AirOps for AI workflow orchestration

Here's how it works:

This workflow analyzes LinkedIn campaign performance and saves the results to Notion. Let me break down the workflow step by step:

  1. Code: Makes an API call to LinkedIn's advertising analytics API to fetch campaign performance data. The code retrieves metrics like impressions, costs, leads, and engagement for various campaigns.

  2. Agent: Analyzes the LinkedIn campaign data to provide insights in three key areas:

    • Campaigns generating strong brand awareness at low cost

    • Campaign types are effective at generating leads at the best cost

    • Campaigns that need to be stopped due to poor performance

  3. Notion Integration: Saves the analysis results to a Notion page titled "LinkedIn Analytics" with the current date.

The workflow takes several inputs to configure the analysis period and LinkedIn account details:

  • Run Date

  • Sponsored Ad Account ID

  • Start/End Month and Year for analysis

  • Base URL

  • URN number

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