How to Automate Tracking DAUs and MAUs Automatically with n8n: A Step-by-Step Guide

Tracking Daily Active Users (DAUs) and Monthly Active Users (MAUs) is crucial for any startup focused on growth and user engagement 📊. However, manually collecting and analyzing this data can be tedious and error-prone. In this guide, we will dive into how to automate tracking DAUs and MAUs automatically with n8n, empowering your Data & Analytics team to build efficient, scalable workflows integrating popular services like Gmail, Google Sheets, Slack, and HubSpot.

We will walk you through the entire process—from setting up triggers to sending automated reports—ensuring your team saves time, reduces human error, and enhances decision-making based on real-time insights.

Understanding the Problem and Who Benefits from Automation

Manual tracking of DAUs and MAUs often involves exporting data from analytics platforms, combining it in spreadsheets, and distributing reports—steps that consume hours weekly and risk inaccuracies. For startup CTOs, automation engineers, and operations specialists, automating these repetitive tasks unlocks:

• Efficiency: Save valuable time through automated workflows.
• Accuracy: Reduce human errors in data aggregation and reporting.
• Immediate Insights: Access near-real-time updates on user engagement.
• Scalability: Easily adapt processes as your user base grows.

Tools and Services Integrated in the Automation Workflow

Our automation leverages the power of n8n, an open-source workflow automation tool, to connect the following services:

• Google Analytics / HubSpot API: Source of DAU and MAU data.
• Google Sheets: Store and keep historical data snapshots.
• Slack: Real-time team notifications.
• Gmail: Email automated reports to stakeholders.

These integrations together provide a seamless data pipeline, from data extraction to reporting.

Step-by-Step Workflow: From Trigger to Output

Step 1: Workflow Trigger – Scheduled Interval

Start the workflow with a Schedule Trigger node in n8n to execute the automation daily or monthly depending on your reporting needs.

• Node: Schedule Trigger
• Settings:
• Mode: Every 1 day at midnight (for DAUs), or monthly on the 1st at 00:05 (for MAUs)

Step 2: Fetch DAU/MAU Data via API

Use the HTTP Request node to query your analytics data. For example, if you use Google Analytics or HubSpot, configure the node to call the relevant API endpoints to get the active user counts.

Example Configuration for Google Analytics API:

• Method: POST
• URL: https://analyticsreporting.googleapis.com/v4/reports:batchGet
• Authentication: OAuth2 credentials with Analytics scope
• Body: JSON containing metrics (activeUsers), date ranges, and dimensions (date)

{
  "reportRequests": [{
    "viewId": "YOUR_VIEW_ID",
    "dateRanges": [{"startDate": "yesterday", "endDate": "yesterday"}],
    "metrics": [{"expression": "ga:users"}]
  }]
}

Step 3: Parse and Transform Data

Extract DAU or MAU values from the API response using the Function node. For example, parse the JSON response and map the date and users count into an object formatted as:
{ "date": "2024-06-20", "dau": 12345 }

const response = items[0].json;
const report = response.reports[0];
const dataRows = report.data.rows;

return dataRows.map(row => {
  return {
    json: {
      date: row.dimensions[0],
      dau: parseInt(row.metrics[0].values[0], 10)
    }
  };
});

Step 4: Append Data to Google Sheets

Use the Google Sheets Node to append the new daily or monthly data to a dedicated spreadsheet.

• Operation: Append Row
• Sheet Name: DAU_MAU_Data
• Columns: Date, DAU, MAU (if MAU workflow)

This creates a historical record for trend analysis.

Step 5: Send Slack Notification

Notify your Data & Analytics team about the latest DAU/MAU numbers with a formatted Slack message using the Slack Node.

{
  "text": `🚀 DAU for ${items[0].json.date}: ${items[0].json.dau} users`
}

• Channel: #data-analytics
• Message: Dynamic text with date and user count

Step 6: Email Automated Report via Gmail

Lastly, send a summary email using the Gmail Node to stakeholders. The content can include tables created dynamically summarizing the data.

• To: analytics@company.com
• Subject: DAU/MAU Report for {{date}}
• Body: HTML table with newly appended data + trend insights

Detailed Breakdown of Each n8n Node Configuration

Schedule Trigger

• Every Day Mode: Executes workflow at 00:00 daily.
• Every Month Mode: Executes on 1st day monthly for MAU.

HTTP Request Node

• Authentication: OAuth2 with proper scopes (Analytics read-only).
• Headers: Content-Type: application/json.
• Retries: Configure retry logic with exponential backoff (max 3 retries).

Function Node

• Parse API response safely, validate data types.
• Handle cases with missing data by returning default zero values.

Google Sheets Node

• Use column mapping carefully.
• Handle rate limits by adding delays if needed.
• Enable error catching to log failures and proceed gracefully.

Slack Node

• Token scope: chat:write to post messages.
• Use blocks for rich formatting when necessary.

Gmail Node

• Securely store OAuth credentials.
• Limit email recipients to avoid spam flags.

Strategies for Robustness and Error Handling

• Error Handling: Use the Error Trigger node to catch failures and send alerts.
• Idempotency: Check if data already appended in Google Sheets to avoid duplicates.
• Retries and Backoff: Implement incremental delays on API call failures.
• Logging: Save logs to a dedicated sheet or external system for audit.

Security and Compliance Considerations

Handling API keys and user data requires caution:

• Store API keys and OAuth tokens securely using n8n’s credential manager.
• Limit OAuth scopes: only request read access to analytics and send-only scopes for emails.
• Mask sensitive data in logs and avoid sending PII over Slack or emails.
• Ensure data stored in Google Sheets complies with company data retention policies.

Scaling and Adapting the Workflow for Growing Businesses

• Use Webhooks over Polling: If your data source supports webhooks, trigger workflows instantly instead of scheduled polling for improved freshness and efficiency.
• Queue Management: For large datasets or concurrent workflows, employ queue nodes or batch processing to prevent overloads.
• Modular Workflows: Separate data extraction, transformation, and delivery into reusable subworkflows for maintainability.
• Versioning: Use n8n workflow versions or git integration to manage changes securely.

Practical Monitoring and Testing Tips

• Test with sandbox data or limited date ranges before running live.
• Use n8n’s run history to inspect node outputs and error messages.
• Set up alert nodes (Slack/email) to notify on workflow failures or critical anomalies.
• Regularly review API quota and usage limits to adjust calls accordingly.

Comparison Tables

n8n vs Make vs Zapier for DAU/MAU Automation

Opción	Costo	Pros	Contras
n8n	Open-source, self-hosted free; Cloud from $20/mo	Highly customizable, no vendor lock-in, strong API support	Requires setup, maintenance, cloud version costs
Make (Integromat)	Free tier; Paid plans from $9/mo	Visual builder, extensive app integrations, easy to start	Can get costly at scale, less control than n8n
Zapier	Free limited tier; plans from $19.99/mo	User-friendly, many app integrations, reliable performance	Limited custom logic, expensive for high volume

Webhook vs Polling Trigger for DAU/MAU Workflows

Método	Latencia	Costo de Recursos	Uso Ideal
Webhook	Baja (casi instantáneo)	Bajo	Cuando API soporta eventos en tiempo real
Polling	Alta (depende intervalo)	Alto (consumo constante)	APIs sin soporte webhook o datos estables

Google Sheets vs Database for Storing DAU/MAU Data

Opción	Costo	Pros	Contras
Google Sheets	Gratis con límites (15GB)	Fácil de usar, compartir, integrar rápidamente	No escalable para millones de registros, limitado control
Database (SQL, NoSQL)	Variable según infraestructura	Escalable, seguro, con consultas avanzadas	Requiere infraestructura y mantenimiento

Conclusion: Unlock Efficient Tracking by Automating DAUs and MAUs with n8n

Automating tracking DAUs and MAUs automatically with n8n eliminates manual bottlenecks and provides accurate, timely insights that empower Data & Analytics teams to make data-driven decisions faster. By integrating APIs like Google Analytics, managing data in Google Sheets, and notifying teams via Slack and email, your startup gains an efficient and scalable system to monitor key metrics without added overhead.

Start by designing your scheduled workflow in n8n, configure API integrations securely, and apply best practices such as error handling and monitoring. As your business grows, adapt the workflow for improved performance and scalability. Don’t wait—implement this automation today to focus your team’s efforts on strategic initiatives instead of repetitive data work.

Ready to automate your user analytics? Set up your first n8n workflow now and revolutionize how your team tracks DAUs and MAUs!