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Automated Google Analytics Report via Email and Telegram

Automated Google Analytics Report via Email and Telegram

Tired of manually pulling Google Analytics reports every Monday morning? This is a real-world Automated Google Analytics report use case. 

It demonstrates how AI workflow automation and no-code tools like n8n can streamline reporting, comparison, and communication — without writing a single line of backend code.

We’ll walk you through an AI agentic workflow that:

  • Automatically collects and compares Google Analytics data
  • Summarizes insights with AI
  • Send personalized weekly reports to your inbox and Telegram

Let’s dive in.

What Is AI Workflow Automation?

The use of AI agents in workflow automation allows for the typically manual, repetitive business processes into intelligent and adaptive flows.

  • Understand context
  • Make decisions based on historical data
  • Communicate naturally with humans
  • Integrate across platforms (like Google Analytics, email, Telegram, etc.)

Use Case: Automated Google Analytics report with n8n

This workflow uses n8n, an open-source automation tool, to build a weekly reporting system using:

  • Google Analytics GA4
  • OpenAI
  • Email (SMTP)
  • Telegram (optional)

Step-by-Step Breakdown of the Automated Workflow

This is an AI agentic workflow—a coordinated and Automated Google Analytics report system of tasks managed by multiple agents and tools, working together dynamically.

1. Scheduled Trigger

Every Monday at 7 a.m., the automation kicks in using the Schedule Trigger node. No manual effort needed — the process starts on its own.

2. Retrieve This Week’s Metrics (GA4)

Using the Google Analytics node, it pulls key data for the last 7 days:

  • Page Views
  • Sessions
  • Users
  • Session Duration
  • E-commerce Purchases
  • Revenue per Purchase
  • Total Revenue

3. Assign and Summarize Data

The raw values are automatically:

  • Assigned into meaningful fields
  • Summed or averaged
  • Prepared for comparison

This gives a clean snapshot of your site’s performance.

4. Compare with Previous Year

Through JavaScript logic, the workflow calculates dates for the same period last year. It then pulls the historical data from Google Analytics, assigning and summarizing this second data set for direct comparison.

5. AI-Powered Analysis and Formatting

Here’s where AI takes over:

  • A GPT-4 AI agent compares the two datasets
  • It calculates percentage changes for every metric
  • It writes a brief summary in natural language
  • Formats everything into a professional HTML email

6. Deliver Reports to Email and Telegram

Once the content is created, the report is:

  • Emailed to the team via SMTP
  • Sent to a Telegram channel (optional) for instant access on mobile

*Note: For the JSON template, please contact us and provide the blog URL.

Benefits of Automated Google Analytics report 

Eliminate Manual Reporting

No more switching tabs, exporting CSVs, or formatting tables. Your AI assistant does the work.

Year-over-Year Context

The AI workflow compares data from the same time last year — providing crucial context for decision-making.

Consistent Weekly Execution

Never miss a Monday report. Let automation take care of scheduling, formatting, and sending.

Multi-Channel Delivery

Distribute results across channels. Email for detailed reports, Telegram for quick access on the go.

Why This Is a Perfect Agentic Workflow Example

This Automated Google Analytics report use case embodies a multi-agent workflow pattern:

  • A trigger agent starts the flow
  • Data agents fetch and assign metrics
  • An AI decision agent analyzes and formats content
  • Communication agents distribute results via email and Telegram

Each part contributes to a cohesive and intelligent system, demonstrating how agentic workflows unlock the full potential of AI in automation.

How to Build This AI Agentic Workflow in n8n

Here’s a quick overview of building this AI agentic workflow in n8n to automate weekly GA4 reporting and comparison. It begins with a Schedule Trigger to run weekly, followed by the Google Analytics node to pull current data. 

The Set and Summarize nodes assign values and structure the data. Next, it fetches last year’s data using a Code node combined with another Google Analytics node. 

The data is then compared and formatted using the OpenAI GPT node for contextual analysis. You’ll need:

  • Google Analytics API credentials
  • OpenAI or other LLM API key
  • SMTP email access
  • Telegram Bot token (optional)

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Final Thoughts: Automate Smart with AI Workflows

This isn’t just about convenience — it’s about bringing intelligence to automation.

With an Automated Google Analytics report setup like this:

  • Your team saves hours every week
  • You make smarter decisions, faster
  • You future-proof your operations

By embracing AI workflow automation and tools like n8n, you unlock new levels of business efficiency — one agentic workflow at a time. 

FAQs

Can I use this if I’m not technical?

Yes! With no-code tools like n8n, you can build powerful AI workflows using visual nodes and simple configurations.

Is OpenAI required?

Not strictly. You can use any LLM or Automated Google Analytics report service that integrates with n8n (Claude, Gemini, Ollama, etc.)

Can this scale to multiple websites?

Absolutely. Just duplicate the GA4 step for each property and feed it into the same analysis pipeline.

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