Generate Marketing Campaign Roi Reports with Google Sheets, Gpt-4o and Email

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

{
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      "parameters": {
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        "content": "## \ud83d\udcc8 Campaign ROI Report with Generative AI + Email\n\nThis n8n workflow pulls campaign data from Google Sheets, summarizes it using OpenAI, and sends a performance recap via Outlook email.\n\n### \u2705 Step 1: Connect Google Sheets\n\n1. In n8n, go to **Credentials** \u2192 click **New Credential**\n2. Select **Google Sheets OAuth2 API**\n3. Log in with your Google account and authorize\n4. Use a spreadsheet with:\n   - Column names in the first row  \n   - Data in rows 2\u2013100  \n5. Example format: [\ud83d\udcc4 Sample Marketing Sheet](https://docs.google.com/spreadsheets/d/1UDWt0-Z9fHqwnSNfU3vvhSoYCFG6EG3E-ZewJC_CLq4/edit?usp=sharing)\n\n### \u2705 Step 2: Connect OpenAI\n\n1. Go to [OpenAI API Keys](https://platform.openai.com/api-keys)\n2. Make sure you have a payment method set under [Billing](https://platform.openai.com/settings/organization/billing/overview)\n3. In n8n, create a new **OpenAI API** credential\n4. Paste your API key and save\n\n\n### \ud83d\udcec Need Help?\n\nFeel free to contact me if you run into issues:\n\n- \ud83d\udce7 robert@ynteractive.com  \n- \ud83d\udd17 [LinkedIn](https://www.linkedin.com/in/robert-breen-29429625/)\n"
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      "parameters": {},
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    {
      "id": "07ace160-586f-46b0-8b13-8d7fa467703b",
      "name": "OpenAI Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
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      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o",
          "cachedResultName": "gpt-4o"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
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        "jsonSchemaExample": "{\n  \"output\": \"Overall, campaign performance was strong this week. Retargeting efforts delivered the highest return, while a few awareness campaigns underperformed in conversions.\\n\\n\u2022 \ud83d\udcc8 'Spring Retargeting' had the highest ROAS at 9.1\\n\u2022 \ud83d\udcb0 'Loyalty Push' generated $12,000 revenue on $1,600 spend\\n\u2022 \ud83d\udcc9 'Awareness Boost - TikTok' had low conversions despite high spend\\n\u2022 \ud83e\udde0 Meta Ads accounted for 70% of total conversions\\n\\nTotals:\\n\u2022 Total Spend: $12,480\\n\u2022 Impressions: 983,400\\n\u2022 Clicks: 23,980\\n\u2022 Conversions: 1,482\\n\u2022 Revenue: $48,000\"\n}"
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      "parameters": {
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        "content": "### Aggregate and Combine Data"
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      "parameters": {
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        "width": 672,
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        "content": "### 2. Prepare Your Google Sheet\n\n#### Connect your Data in Google Sheets\n- Data must be in a format similar to this: [Sample Marketing Data](https://docs.google.com/spreadsheets/d/1UDWt0-Z9fHqwnSNfU3vvhSoYCFG6EG3E-ZewJC_CLq4/edit?gid=365710158#gid=365710158)\n- First row contains column names\n- Data in rows 2-100\n- Log in with OAuth2 and choose your workbook and sheet\n- Optional: Try connecting to Airtable, Notion or your Database"
      },
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      "parameters": {
        "color": 7,
        "width": 828,
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        "content": "### AI Agent analyzes data and sends daily email"
      },
      "typeVersion": 1
    },
    {
      "id": "4b5211e3-46d3-42f7-ad79-64eff2d30567",
      "name": "Get Data",
      "type": "n8n-nodes-base.googleSheets",
      "position": [
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      "parameters": {
        "options": {},
        "sheetName": {
          "__rl": true,
          "mode": "list",
          "value": 365710158,
          "cachedResultUrl": "https://docs.google.com/spreadsheets/d/1UDWt0-Z9fHqwnSNfU3vvhSoYCFG6EG3E-ZewJC_CLq4/edit#gid=365710158",
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          "cachedResultName": "Sample Marketing Data - n8n"
        }
      },
      "credentials": {
        "googleSheetsOAuth2Api": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 4.7
    },
    {
      "id": "5b61292d-8951-4ec2-9274-a9600c5d4d07",
      "name": "Sum Campaigns",
      "type": "n8n-nodes-base.summarize",
      "position": [
        -1168,
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      ],
      "parameters": {
        "options": {},
        "fieldsToSplitBy": "Campaign",
        "fieldsToSummarize": {
          "values": [
            {
              "field": "Spend ($)",
              "aggregation": "sum"
            },
            {
              "field": "Clicks",
              "aggregation": "sum"
            },
            {
              "field": "Conversions",
              "aggregation": "sum"
            }
          ]
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "19ec9e9f-651f-44d2-868e-cd6742376707",
      "name": "Sum Channels",
      "type": "n8n-nodes-base.summarize",
      "position": [
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      ],
      "parameters": {
        "options": {},
        "fieldsToSplitBy": "Channel",
        "fieldsToSummarize": {
          "values": [
            {
              "field": "Spend ($)",
              "aggregation": "sum"
            },
            {
              "field": "Clicks",
              "aggregation": "sum"
            },
            {
              "field": "Conversions",
              "aggregation": "sum"
            }
          ]
        }
      },
      "typeVersion": 1.1
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    {
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      "name": "Combine",
      "type": "n8n-nodes-base.aggregate",
      "position": [
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      "parameters": {
        "options": {},
        "aggregate": "aggregateAllItemData",
        "destinationFieldName": "campaign_performance"
      },
      "typeVersion": 1
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        "aggregate": "aggregateAllItemData",
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      },
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    },
    {
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      "name": "Merge Results",
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      ],
      "parameters": {
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        "combineBy": "combineByPosition"
      },
      "typeVersion": 3.2
    },
    {
      "id": "7995b9a9-7bc4-4b41-81ac-a33694e42657",
      "name": "Convert to Text",
      "type": "n8n-nodes-base.code",
      "position": [
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      "parameters": {
        "jsCode": "const campaignData = items[0].json.campaign_performance || [];\nconst channelData = items[0].json.channel_performance || [];\n\nlet campaignSummary = `\ud83d\udcca Campaign Performance:\\n`;\nfor (const entry of campaignData) {\n  campaignSummary += `\u2022 ${entry.Campaign}: $${entry[\"sum_Spend_($)\"].toFixed(2)} spend, ${entry[\"sum_Clicks\"]} clicks, ${entry[\"sum_Conversions\"]} conversions\\n`;\n}\n\nlet channelSummary = `\\n\ud83d\udce3 Channel Performance:\\n`;\nfor (const entry of channelData) {\n  channelSummary += `\u2022 ${entry.Channel}: $${entry[\"sum_Spend_($)\"].toFixed(2)} spend, ${entry[\"sum_Clicks\"]} clicks, ${entry[\"sum_Conversions\"]} conversions\\n`;\n}\n\nreturn [\n  {\n    json: {\n      output: campaignSummary + channelSummary\n    }\n  }\n];\n"
      },
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    },
    {
      "id": "43390f07-1797-41d7-bee5-40c37f0ff73f",
      "name": "Analyze Marketing Data",
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      "parameters": {
        "text": "=Data: {{ $json.output }}",
        "options": {
          "systemMessage": "You are a Marketing Performance Assistant.\n\nUse the data access campaign data, including fields like: campaign name, cost, impressions, clicks, conversions, and revenue.\n\n\n\nYour job is to write a clear and helpful summary of campaign performance for a marketing team.\n\nYour response must be in **JSON format** with only one field:\n\n- `\"output\"`: A string that contains:\n  - A short paragraph explaining overall performance\n  - 3\u20135 bullet points with key insights\n  - Total spend, impressions, clicks, conversions, and revenue (as bullets)\n\nUse natural, business-friendly language and make it sound like part of a weekly email report. Use emojis if helpful. Do not include raw data or tables.\n\n**Example format:**\n\n```json\n{\n  \"output\": \"Overall, campaign performance was strong this week. Retargeting efforts delivered the highest return, while a few awareness campaigns underperformed in conversions.\\n\\n\u2022 \ud83d\udcc8 'Spring Retargeting' had the highest ROAS at 9.1\\n\u2022 \ud83d\udcb0 'Loyalty Push' generated $12,000 revenue on $1,600 spend\\n\u2022 \ud83d\udcc9 'Awareness Boost - TikTok' had low conversions despite high spend\\n\u2022 \ud83e\udde0 Meta Ads accounted for 70% of total conversions\\n\\nTotals:\\n\u2022 Total Spend: $12,480\\n\u2022 Impressions: 983,400\\n\u2022 Clicks: 23,980\\n\u2022 Conversions: 1,482\\n\u2022 Revenue: $48,000\"\n}\n"
        },
        "promptType": "define",
        "hasOutputParser": true
      },
      "typeVersion": 2.2
    },
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      "position": [
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      "parameters": {
        "color": 3,
        "width": 368,
        "height": 336,
        "content": "### 1. Set Up OpenAI Connection\n\n#### Get API Key:\n1. Go to [OpenAI Platform](https://platform.openai.com/api-keys)\n1. Go to [OpenAI Billing](https://platform.openai.com/settings/organization/billing/overview)\n2. Add funds to your billing account & copy your api key into the openAI credentials\n"
      },
      "typeVersion": 1
    }
  ],
  "connections": {
    "Combine": {
      "main": [
        [
          {
            "node": "Merge Results",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Combine ": {
      "main": [
        [
          {
            "node": "Merge Results",
            "type": "main",
            "index": 1
          }
        ]
      ]
    },
    "Get Data": {
      "main": [
        [
          {
            "node": "Sum Campaigns",
            "type": "main",
            "index": 0
          },
          {
            "node": "Sum Channels",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Sum Channels": {
      "main": [
        [
          {
            "node": "Combine ",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Merge Results": {
      "main": [
        [
          {
            "node": "Convert to Text",
            "type": "main",
            "index": 0
          }
        ]
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    },
    "Sum Campaigns": {
      "main": [
        [
          {
            "node": "Combine",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Start Workflow": {
      "main": [
        [
          {
            "node": "Get Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Convert to Text": {
      "main": [
        [
          {
            "node": "Analyze Marketing Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "Analyze Marketing Data",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Analyze Marketing Data": {
      "main": [
        []
      ]
    },
    "Structured Output Parser1": {
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        [
          {
            "node": "Analyze Marketing Data",
            "type": "ai_outputParser",
            "index": 0
          }
        ]
      ]
    }
  }
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• googleSheetsOAuth2Api
• openAiApi

About this workflow

This n8n workflow pulls campaign data from Google Sheets, summarizes it using OpenAI, and sends a performance recap via Outlook email. In n8n, go to Credentials → click New Credential Select Google Sheets OAuth2 API Log in with your Google account and authorize Use a spreadsheet…

Source: https://n8n.io/workflows/7586/ — original creator credit. Request a take-down →

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