Send a daily paid acquisition and website intelligence report with Databox, GPT-4o and Gmail

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1. Workflow Overview

Your paid ads and website analytics live in separate tools. This workflow bridges both via Databox MCP, runs three specialized AI agents in sequence, and emails a daily intelligence report with a c...

Best for

Market Research automation workflows
AI RAG automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.datetime, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.mcpclienttool, n8n-nodes-base.code, n8n-nodes-base.gmail, @n8n/n8n-nodes-langchain.lmchatopenai

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Databox.

Original n8n.io source

1.1 Workflow description

Title: Send a daily paid acquisition and website intelligence report with Databox, GPT-4o and Gmail
Workflow name: Send a daily paid acquisition and website intelligence report with Databox, GPT-4o and Gmail

Who's it for

Performance marketers who want to understand how ads influence website quality
Growth teams looking for daily cross-channel signals without building custom dashboards
Marketing managers who need one morning briefing covering paid spend and website behavior

How it works

Schedule Trigger fires every day at 8 AM
Agent 1 fetches website performance from Databox: sessions, bounce rate, goal completions, conversion rate
Agent 2 fetches paid channel data from Databox: spend, CPC, CTR, ROAS per platform
Agent 3 synthesizes both outputs - ranks channel efficiency, estimates cost per quality visit, and writes 3 actionable recommendations
A styled HTML email report is delivered to your inbox

Requirements

Databox account with website analytics and at least one paid ads platform connected (free plan works)
OpenAI API key (or Anthropic)
Gmail account

How to set up

Click each Databox MCP Tool node - set Authentication to OAuth2 and authorize
Add your OpenAI API key to each of the three Chat Model nodes
Connect Gmail and set the recipient address in the Send Email node
Activate - your first report arrives tomorrow at 8 AM

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Sticky Note 1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 3 - Sticky Note 2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - Sticky Note 3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 5 - Every Day 8 AM

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.2

Block 6 - Get Current Date

Type / Role: n8n-nodes-base.dateTime - dateTime
Config choices: Version 2

Block 7 - Website Analysis Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 8 - Databox MCP Tool

Type / Role: @n8n/n8n-nodes-langchain.mcpClientTool - mcpClientTool
Config choices: Version 1.2

Block 9 - Paid Acquisition Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 10 - Correlation Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 3

Block 11 - Prepare Email

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 12 - Send Email

Type / Role: n8n-nodes-base.gmail - gmail
Config choices: Version 2.2

Block 13 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 14 - Databox MCP Tool 2

Type / Role: @n8n/n8n-nodes-langchain.mcpClientTool - mcpClientTool
Config choices: Version 1.2

Block 15 - OpenAI Chat Model 3

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 16 - OpenAI Chat Model 2

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

Block 17 - OpenAI Chat Model 1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.3

3. Summary Table

Workflow	Send a daily paid acquisition and website intelligence report with Databox, GPT-4o and Gmail
Complexity	advanced
Nodes	17
Categories	Market Research, AI RAG
Author	Databox
Published	25 Mar 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/14323/14323.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Market Research workflows AI RAG workflows

Frequently asked questions

What does Send a daily paid acquisition and website intelligence report with Databox, GPT-4o and Gmail do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI RAG use case.

Databox

3 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.scheduletrigger n8n-nodes-base.datetime @n8n/n8n-nodes-langchain.agent @n8n/n8n-nodes-langchain.mcpclienttool n8n-nodes-base.code n8n-nodes-base.gmail @n8n/n8n-nodes-langchain.lmchatopenai

Complexity

advanced

Published 25 Mar 2026

Likes 0

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Install path: /data/workflows/14323/14323.json

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Send a daily paid acquisition and website intelligence report with Databox, GPT-4o and Gmail

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Who's it for

How it works

Requirements

How to set up

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Sticky Note

Block 2 - Sticky Note 1

Block 3 - Sticky Note 2

Block 4 - Sticky Note 3

Block 5 - Every Day 8 AM

Block 6 - Get Current Date

Block 7 - Website Analysis Agent

Block 8 - Databox MCP Tool

Block 9 - Paid Acquisition Agent

Block 10 - Correlation Agent

Block 11 - Prepare Email

Block 12 - Send Email

Block 13 - Sticky Note1

Block 14 - Databox MCP Tool 2

Block 15 - OpenAI Chat Model 3

Block 16 - OpenAI Chat Model 2

Block 17 - OpenAI Chat Model 1

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions