Mautic: The Open-Source Alternative to HubSpot

The Core Architecture

Mautic functions as a self-hosted marketing automation engine that replaces proprietary platforms by keeping customer data within the user's own infrastructure. Built on a standard PHP stack using the Symfony framework and MySQL or MariaDB, the platform is designed for deployment on ordinary web hosting environments. It supports installation via Composer or DDEV for local development. The system provides a visual campaign builder, drag-and-drop email and landing page editors, dynamic segmentation, and lead scoring, all without the per-contact pricing tiers found in commercial alternatives.

The AI Manifesto

Unlike proprietary platforms that integrate cloud-based AI chatbots directly into their SaaS offerings, Mautic maintains a model-agnostic approach. The community established an AI Manifesto and a dedicated working group to ensure that the agent layer remains under the user's control. Mautic does not host AI models internally; instead, it provides a framework that allows users to connect their own preferred AI engines, ensuring that contact data is not transmitted to third-party cloud providers.

Mautic 7 "Columba" Updates

The latest release, Mautic 7, introduces several structural improvements for managing marketing assets:

• Projects: Users can now group emails, forms, and landing pages into initiatives rather than managing them in a flat list.
• Segment Email Logic: Users can toggle between dynamic audiences that update as new contacts qualify or static audiences locked at the time of send.
• Import/Export: The system now supports clean campaign migration between staging and production environments.
• API: The platform exposes a version 2 API for programmatic control of the system.

Trade-offs of Self-Hosting

While Mautic removes monthly subscription fees and contact limits, it shifts the operational burden to the user. Administrators are responsible for server maintenance, security patching, and email deliverability, which are typically managed by SaaS providers. The AI capabilities are currently defined by architectural principles rather than out-of-the-box assistant features.