High-Volume RVM & SMS Automation

Case studys

High Volume SMS + RVM System

Software stack used for this build.

Ok, so which system do I talk about when I’m referring to the high-volume SMS and RVM builds? I ask because I’ve been fortunate enough to have a great network. One of my clients, a leader in the debt shop space, wanted to build out a compliance system. After I built that (which saved them thousands of hours a year), he asked me to focus on a high-volume marketing system.

I’ve now built multiple versions of these systems — each one slightly different. Some leverage GHL RVM, while others use DropCowboy.

Here’s the meat and potatoes of the system: the most important part of all this is the PostgreSQL database. Using n8n, Python, and SQL, I designed a throttle system that manages everything. The biggest challenge here is handling the different API rate limits across platforms. Regardless, the next step with this build is designing something a little more custom so we can hit those 1M+ sends per day.

PostgreSQL Database for a debt shop

 

 

Investor Scraper Automation System

View Case Study: How we engineered a system that finding Investors.