Revenue problems in B2B SaaS rarely present as what they actually are. A forecast miss looks like a pipeline problem. A pipeline problem looks like a demand generation problem. A demand generation problem looks like a marketing budget problem. And so the company throws money at the symptom while the root cause compounds underneath.
The pages below diagnose the specific revenue dysfunctions that plague Series B and C SaaS companies between $10M and $75M ARR. These aren’t theoretical – they’re the patterns that show up in every Revenue Diagnostic, across every industry, at every company that’s hit a growth wall and can’t figure out why.
Pipeline Problems
The most common misconception in B2B revenue is that pipeline volume solves pipeline problems. It doesn’t. If your coverage ratio looks healthy but revenue keeps missing, the problem isn’t volume – it’s honesty. The pipeline is full of deals that were never properly qualified, and the system rewards keeping them there. Understanding pipeline quality versus quantity is the first step toward fixing a forecast that’s built on fiction.
Forecast and Conversion Problems
Forecast inaccuracy is never a tool problem. It’s a qualification problem wearing a technology costume. And when deals stall after the demo, it’s not because the demo was bad. It’s because the pain wasn’t real enough to survive the buyer’s internal prioritization. The pattern extends to declining win rates as pipeline grows – more volume into a broken system doesn’t improve conversion. It dilutes it.
People and Structural Problems
Revenue problems that look like people problems are almost always system problems. Sales rep turnover costs more than most companies calculate – and the root cause is usually a broken operating environment, not bad hires. When the sales team can’t sell without the founder, the founder isn’t the problem. The absence of a system is. And when companies reach a revenue plateau after Series B, the ceiling is architectural, not aspirational.
Hidden Cost Problems
Some revenue problems hide in plain sight. Discounting to close feels like pragmatism in the moment but compounds into a margin crisis and a buyer expectation problem. And your CRM data is almost certainly lying about what’s really happening in your pipeline – not because the tool is broken, but because the inputs are.
Start with the problem that’s closest to what you’re seeing. Each page diagnoses the root cause and points toward the structural fix.
I help B2B companies fix the revenue systems that legacy methodologies broke. If something in this post made you uncomfortable, it was probably the part that's true. Stop the bleeding.
