Mar 19, 2024 · 27m · top-founders
This Software for Doctors hit $51m revenue last year (100% growth). $5m profit.
gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of Conversations with Nathan Latka, Revolier CEO Jay Ackerman breaks down how his healthcare analytics SaaS doubled revenue to $51 million with 10% EBITDA margins through disciplined pricing changes, strategic M&A, and non-dilutive venture debt.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Nathan holds 40.3% of the talking time here. How this is scored →
speaking balance: gold is Nathan, purple is the guest (3 minute bins)
Jay directly rejects Nathan's hypothetical about tracking strep throat prescriptions, emphasizing that their core data synthesis exclusively addresses multi-year chronic medical conditions.
Hardest push from Nathan ▶ 19:00 Challenging debt structure on exit feesNathan presses Jay on Hercules' reputation for charging high backend exit fees, citing exact percentage comps from Sisense and Susie filings.
Biggest teaching moment ▶ 7:15 Educating on chronic vs acute healthcare dataJay educates Nathan on why scraping acute transactional pharmacy data is irrelevant to their enterprise payer customers compared to long-term risk-bearing disease registries.
Nathan holds their own ▶ 20:20 Reciting Hercules 10-Q portfolio metricsNathan demonstrates high financial expertise by quoting Hercules' exact quarterly 10-Q figures, including $3.3B AUM, 25.4% SaaS allocation, and 15.5% targeted weighted yields.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Nathan as informed peer | Guest teaching | Guest disagreement | Nathan pushing back | Why |
|---|---|---|---|---|---|---|
| Revolier Performance Overview and Debt Financing Summary | 7 | 4 | 1 | 1 | Nathan introduces Revolier's financial profile from memory and filings, including revenue doubling, EBITDA margins, and ACV growth. Jay politely clarifies their timeline to achieving positive cash flow, which took until 2023 rather than 2019. | |
| Core Product Mechanics and Chronic Healthcare Data Synthesis | 5 | 6 | 2 | 4 | Nathan presents a hypothetical personal scenario about buying strep throat medication at CVS to understand the data sweep. Jay corrects the premise, explaining the platform focuses strictly on longitudinal chronic conditions like diabetes and heart disease in Medicare/Medicaid patients. | |
| Transition to Per-Member-Per-Month Pricing and ACV Growth | 6 | 3 | 1 | 2 | Nathan tracks the company's metrics from their prior 2019 conversation, pointing out the customer expansion and tripled ACV. Jay explains why they transitioned away from cellular-style pre-purchased unit pricing to a standardized per-member-per-month model. | |
| Strategic M&A Execution and Integration of Acquired Companies | 7 | 4 | 2 | 3 | Nathan asks detailed questions about M&A post-merger integration risks, headcount, and revenue baselines. Jay clarifies the difference between the two acquired targets, noting Dynamic was an 8 million ARR cash generator while MD Portals was smaller. | |
| Structuring Integration Playbooks with Advisory Support from Ankura | 6 | 4 | 1 | 2 | Nathan probes into the external operational consulting utilized to standardize M&A playbooks. Jay walks through how Ankura helped structure sequential workstreams across back office, sales, and product. | |
| Revenue Scaling Milestones and Stretch Goal to One-Hundred Million | 9 | 3 | 2 | 4 | Nathan cites granular data from Hercules Capital's public 10-Q filings, mentioning comparable portfolio loan rates, exit fee percentages for Sisense and Susie, and total B2B SaaS exposure. Jay confirms they achieved favorable terms on the lower end of Hercules' typical yield band. | |
| Famous Five Rapid-Fire Questions and Executive Insights | 5 | 4 | 2 | 3 | During the rapid-fire questions, Nathan incorrectly guesses the author of Breathe as Brene Brown before correcting to James Nestor. Nathan also pushes on the realistic extent of AI deployment across the organization, which Jay estimates at 25-30%. |