About SFMCMate
Built to simplify SFMC code development through GitHub automation.
SFMC users spend too much time repeating the same manual tasks — creating assets, writing boilerplate code, copying snippets, or deploying updates by hand. These repetitive workflows slow teams down, introduce human error, and waste hours that could be spent on strategy and creativity.
The Team
Selim Sevim
Idea & All Boring Work
Marketing Technology & Integration Expert with 9+ years in SFMC, API development, and automation workflows. Currently working as a Technical Integrator at Eli Lilly, I specialize in optimizing digital marketing ecosystems through advanced integrations, cloud automation, and data-driven solutions.
The Journey
The Problem
SFMC users spend too much time repeating the same manual tasks — creating assets, writing boilerplate code, copying snippets, or deploying updates by hand. These repetitive workflows slow teams down, introduce human error, and waste hours that could be spent on strategy and creativity.
The Solution
SFMCMate introduces an AI-powered assistant designed specifically for Salesforce Marketing Cloud. It uses pre-defined, optimized prompts to instantly generate code for common tasks — like creating Data Extensions with SSJS, or building form submission pages with AMPscript. Instead of repeating the same steps every day, you describe what you need, and the AI does the rest — fast, reliable, and synced to GitHub.
The Technology
Built with modern web technologies and powered by Gemini Flash 2.0, SFMCMate automates SFMC code generation and integrates seamlessly with GitHub's API and Salesforce Marketing Cloud CloudPage. It delivers a smooth, developer-friendly experience without compromising on speed, reliability, or control.
The Future
We're building toward a smarter, more personalized SFMCMate. Soon, users will be able to define custom prompts, create tailored contact models for SQL suggestions, and access more built-in operations like automation creation. Long term, our goal is to train an AI model that can understand and debug SFMC code on its own — no predefined steps required.