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Campaign Performance Summary

Auto-generate campaign post-mortems: objective vs result, key metrics, learnings, next steps — all from structured data.

Inside this workflow

Campaign EndCampaign EndSummarize PerformanceSummarize PerformancePost SummaryPost Summary

Overview

**What it automates:** Campaign marked complete → OpenAI reads campaign data (goal, actual, spend, timeline) → writes 1-page post-mortem (findings, learnings, recommendations) → posted to Slack for team review. **Business outcome:** Campaigns teach you what works. If you don't document findings, you repeat mistakes. This workflow captures every campaign as a learning artifact. **Apps & nodes:** Webhook, OpenAI (analysis), Slack (sharing) **Setup (3 steps):** 1. Create webhook for campaign completion 2. Add OpenAI API key 3. Connect Slack channel **Difficulty:** Beginner (8 min setup) | **Credentials:** OpenAI, Slack

What's included

Importable n8n workflow (JSON)
Real, wired nodes — trigger, logic, and actions
Setup notes: which credentials to connect
Free updates when the workflow changes
Commercial-use license — keep and customize
Email support if you get stuck

Quickstart

  1. 01

    Download the JSON

    With an active Library Pass, download the workflow file right from this page or your dashboard.

  2. 02

    Import into n8n

    Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.

  3. 03

    Plug in credentials

    Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.

  4. 04

    Activate and test

    Run once with sample input, confirm the expected output, then flip the activate toggle.

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