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Open Source Analytics at Scale: Privacy & Customization

matomo dashboard screenshot

What is Matomo Analytics Dashboard, How Does It Work, and How to Set It Up?

Matomo (formerly Piwik) gained in popularity over the last several years as a go-to robust solution for companies looking for analytics solution that does not involve Big corporations and their analytics solutions like Google's analytics, Microsoft's clarity etc.

What are Primary Benefits of Using Matomo Analytics?

Full Data Ownership

Unlike alternatives, where you have to share your data with other parties, Matomo, through its Self-Hosted offering gives you full control over your data and 100% ownership.

Customer Trust

When people see Matomo on websites, they can immediately know they're being protected as you are using only first-party cookies. There are no third parties involved in data transaction.

Privacy, PII, and GDPR

By design, Matomo focuses on privacy and is fully GDPR compliant, which is rare in this ecosystem.

Real-Time Data

Data you see in Matomo dashboard is real data, not sampled data like in Google Analytics. This means you can take immediate concrete actions towards customer acquisition through API actions, manual interactions etc.

How to Set Up Matomo Analytics?

WordPress

If you are using WordPress, you are in luck, as this is by far the easiest way to get up and running. Simply install the Official Matomo WordPress Plugin.

On-Premise Self-Hosted Solution

If you have a non-WordPress website or want to track other kinds of user interactions outside regular websites, or you simply want one Matomo instance for your suite of products as a centralized analytics service, your best bet is a Self-Hosted solution.

There are several recommended setups depending on your needs:

Low-Scale, Startups & Low-Cost Solution

Sometimes you don't want to invest a fortune into infrastructure. Our recommendation for this is a combination of:

  • Local Docker containers
  • Traefik for security and Free SSL Certificate with Let's Encrypt

Once we have containers set up, we can simply set up a local Ubuntu Docker instance which will run Matomo On-Premise solution.

High-Scale, Enterprise

Recommended solution for scaling analytics to millions of events per second is relying on AWS infrastructure. Specifically setting up a Load Balancer either through:

  • AWS Fargate - a managed solution for Docker Kubernetes Cluster
  • EC2 Instances - both offer great scalability features

Key Features of Matomo

Complete Analytics Suite

  • Real-time visitor tracking
  • Conversion goals and funnels
  • E-commerce tracking
  • Custom event tracking
  • A/B testing capabilities
  • Heatmaps and session recordings

Privacy-First Approach

  • First-party cookies only
  • No data sharing with third parties
  • IP anonymization
  • Automatic log deletion
  • Cookie consent management
  • GDPR compliance by design

Customization & Integration

  • Open-source codebase
  • REST API for custom integrations
  • Custom dimensions and metrics
  • Extensible plugin system
  • White-label reporting
  • Custom dashboards

Performance & Reliability

  • Handles millions of events
  • Optimized database queries
  • Caching mechanisms
  • Archive data management
  • High availability options

Why Choose Matomo Over Other Solutions?

vs. Google Analytics

  • Data Ownership: You own 100% of your data
  • Privacy: No data sharing with Google
  • Accuracy: Real data, not sampled
  • Control: Full control over tracking
  • Customization: Unlimited customization options

vs. Plausible/Fathom

  • Features: More comprehensive analytics
  • Flexibility: Self-hosted or cloud options
  • Integrations: Extensive API and plugins
  • Enterprise: Scales to millions of events

Technical Requirements

Minimum Requirements

  • PHP 7.4 or higher (8.1+ recommended)
  • MySQL 5.5 or higher / MariaDB
  • Web server (Apache, Nginx)
  • 128MB+ PHP memory limit

Recommended for Production

  • PHP 8.1+
  • MySQL 8.0+ / MariaDB 10.3+
  • 512MB+ PHP memory limit
  • SSD storage
  • Redis/Memcached for caching

Cost Considerations

Self-Hosted Option

  • Setup Cost: One-time infrastructure setup
  • Ongoing: Server costs (varies by traffic)
  • Maintenance: Self-managed or support contract
  • Scaling: Pay only for infrastructure growth

Cloud-Hosted Option

  • Pricing: Tiered pricing based on traffic
  • Maintenance: Fully managed
  • Scaling: Automatic
  • Support: Included in plans

Best Practices

  1. Plan Your Infrastructure: Size servers based on expected traffic
  2. Enable Archiving: Set up scheduled report archiving for performance
  3. Use Caching: Implement Redis or Memcached
  4. Monitor Performance: Track database and server metrics
  5. Regular Backups: Implement automated backup strategy
  6. Security: Keep Matomo and plugins updated
  7. Privacy Settings: Configure appropriate data retention policies

Common Use Cases

  • E-commerce: Track sales, conversions, and customer journeys
  • SaaS Products: Monitor user behavior and feature adoption
  • Content Sites: Analyze content performance and reader engagement
  • Mobile Apps: Track app usage with mobile SDKs
  • Multi-Site: Centralized analytics for multiple properties
  • Enterprise: Custom dashboards for different departments

Need Help Setting Matomo Up?

Our team offers cost-effective setup solutions for Matomo analytics. Whether you need:

  • Initial installation and configuration
  • Migration from Google Analytics
  • Custom tracking implementation
  • Performance optimization
  • Enterprise-scale deployment
  • Training and documentation

Contact us at office@c9group.dev for a free consultation and quote.

Published: July 7, 2025 Categories: Analytics, AWS, Open Source

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