automationPro — €97
10 Track Email Campaign Performance
80/100
22 NodesBeschreibung
🎯 🔹 SECTION 1: Schedule & Prepare Inputs ✅ Nodes in this Section | Node | Name | | ---- | -------------------------------- | | ⏰ | Daily Campaign Check Trigger | | ✏️ | Set Campaign Input Fields | --- 💡 What Happens Here ⏰ Daily Campaign Check Trigger: This node automatically starts the workflow on a schedule — for example, every morning at 9 AM. It makes sure you don’t have to run it manually every time. The goal is to check your email campaign perform | Setup-Pack: gmail | openai
Setup-Anleitung
## 🤖 **🔹 SECTION 2: Scrape & Analyze with AI Agent** ### ✅ **Nodes in this Section** | Node | Name | | ---- | ------------------------------------------------ | | 🤖 | **Agent: Scrape & Analyze Campaign Performance** | | 🧠 | **LLM: Summarize & Format** | | 🌐 | **Bright Data MCP: Scrape Report** | | 🗂️ | **Parse Scrape Output** | --- ### 💡 **What Happens Here** * **🤖 Agent: Scrape & Analyze Campaign Performance** This is your **AI Agent** — it does the smart part: * Talks to the **Bright Data MCP Tool** to scrape the ESP report page. * Uses an **LLM** (OpenAI Chat Model) to process the scraped data. * Passes the result to an **Output Parser** to turn messy text into clean, structured data. * **🌐 Bright Data MCP: Scrape Report** Bright Data logs in, navigates to your campaign report page, and **scrapes live open/click numbers**. * **🧠 LLM: Summarize & Format** The Chat Model turns raw scraped info into easy-to-read Markdown or JSON. This is like having a mini data analyst! * **🗂️ Parse Scrape Output** This node extracts the final numbers (open rate, CTR, bounces) so the logic can understand them. --- ### 🎯 **Why It’s Important** ✅ You don’t have to log in manually to get reports. ✅ The AI cleans up messy scraped data. ✅ Makes follow-up decisions possible without human effort. ✅ Works for **any ESP** — if the layout changes, just adjust the scraper. --- ---
Benötigte Integrationen (2)
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