How Recovery.com Went From Spreadsheets to 2x Revenue in 12 Months
The Challenge
Recovery.com is dedicated to helping individuals and families access high-quality mental health and addiction treatment. As a mission-driven organization, they rely on data-driven decision-making to improve operations and expand their impact.
Before Datajolt, their RevOps process was a painfully manual effort, relying on Google Sheets, pivot tables, and multiple disconnected data sources. Revenue calculations spanned across Google Analytics, Segment, Postgres, Exchange Rates, and Copper CRM, with teams manually updating hundreds of records in an admin panel twice a week.
As the company scaled, they needed a fully automated, reliable, and scalable RevOps workflow—without building and maintaining an in-house data stack from scratch. That's where Datajolt came in.
The Hidden Problem
When we started working with Recovery.com, we didn't lead with assumptions. We led with questions. Where was engineering time being spent? What was creating the biggest bottlenecks? Why was revenue visibility always trailing reality?
The answers revealed a pattern we see often: business-critical processes running on infrastructure that couldn't scale.
The RevOps System We Built
Identifying the problem is step one. Building the infrastructure to solve it — permanently — is where the real value lives. Over 30 days, we designed and implemented a complete RevOps automation system:
We were impressed with how fast Datajolt migrated us from spreadsheet workflows to robust data pipelines. They are extremely flexible, building custom integrations that other platforms don't support. Having a reliable data stack helps me sleep at night. We were early adopters, and the speed of feature development since we launched has been impressive. Datajolt has significantly improved our efficiency, and I'd recommend it to anyone thinking about building a data stack from scratch.
The Results
What's Next
With a reliable data foundation in place, Recovery.com is now positioned to scale operations without scaling complexity. The company made the Inc 5000 list at #196, and the infrastructure we built is ready to support continued growth.
That's the thing about a data platform done right: it doesn't just automate what's broken. It creates the foundation for scaling a mission-driven organization to help more people access treatment.
Does this sound familiar?
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Relying on spreadsheets for business-critical processes? Worried about revenue opportunity cost due to slow or inaccurate data? Let's talk about building a data foundation that scales with your business.
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