Automatisierte tägliche Kundenrückgewinnungsaktionen mit AI-Angeboten

• •Google-Konto + Gmail API-Anmeldedaten
• •Google Sheets API-Anmeldedaten
• •Google Gemini API Key

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        "content": "# 00. Daily Start & Fetch Customer Data\n\n**Purpose:** Automatically triggers the workflow **once daily** based on the schedule set in the first node. It then fetches all customer data from the specified Google Sheet ('Customer Data' sheet) to identify potential churn risks for the day."
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        "content": "# 03. Handle No Eligible Customers\n\n**Purpose:** This path executes if the initial filter finds *no* customers meeting the win-back criteria during the daily check.\n1.  **Set Status:** Sets a variable indicating no eligible customers were found (`system_log = NOT_FOUND`).\n2.  **Log Status:** Records this 'NOT_FOUND' status along with the current timestamp in the 'SYSTEM_LOG' Google Sheet. This helps track when the daily workflow ran but had no one to process."
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        "content": "# 01. Filter & Branch\n\n**Purpose:** Filters the fetched customer data to identify those meeting specific win-back criteria:\n1.  `predicted_churn_score` is greater than 0.7.\n2.  No previous campaign date exists (`created_campaign_date` is empty - *Note: Verify this field's purpose or adjust logic if needed*).\nThen, it checks if any customers passed the filter. The workflow branches based on whether eligible customers were found."
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        "content": "# 02. Generate & Send Win-Back Offer (Loop)\n\n**Purpose:** Processes each eligible customer found in the previous step individually within a loop.\n1.  **Generate Offer (Gemini):** Uses Google Gemini to create a personalized win-back offer (Informational, Bonus Points, or Discount) based on the customer's `predicted_churn_score` and `preferred_categories`. Outputs offer details in JSON format.\n2.  **Log Sent Offer:** Records the successful generation and intent to send the offer (action_taken, timestamp, customer_id) in the 'SYSTEM_LOG' Google Sheet.\n3.  **Send Email (Gmail):** Sends the generated offer details (`offer_title` and `offer_details`) via email to the customer's `user_mail`.\nThe loop continues until all eligible customers are processed."
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        "content": "# Example Customer Data\n\n\n{\n    \"customer_id\": \"CUST_001\",\n    \"last_purchase_date\": \"2024-01-10T10:00:00Z\",\n    \"purchase_frequency_days\": 90,\n    \"user_mail\":\"example@mail.com\",\n    \"days_since_last_purchase\": 110,\n    \"total_spent_usd\": 55.0,\n    \"preferred_categories\": [\"Kitap\", \"Ofis Malzemeleri\"],\n    \"predicted_churn_score\": 0.85,\n    \"profile_tags\": [\"inactive_long_time\", \"low_spender\"],\n    \"timestamp\": \"2024-06-08T09:00:00Z\"\n}\n"
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