Sowly.ai

Most B2B teams run sales on gut feeling and don't know which source actually drives revenue.

I build the sales engine for B2B SaaS and service companies in a fixed order: first a measurable baseline, then testing and measuring hypotheses, then scaling what works.

In practice:
↳ Measurable baseline: I show you how a euro of revenue comes in today. Per source I calculate volume × conversion × cycle time × euros, and I map the size of your market per segment. Then we set up your CRM so you keep seeing it: ICP, funnel stages with clear rules for when a lead moves on, and one dashboard.

↳ Test and measure hypotheses: we pick the biggest bottleneck and the smallest fix that solves it. Outbound, for example, starts small and by hand. Every conclusion is labelled as fact, assumption, hypothesis or still unknown.

↳ Scale what works: only when a test delivers numbers do I automate it with workflows, enrichment and signals. A weekly pipeline review with your team keeps it running.

I look at three sources of revenue: inbound, outbound and your existing customers.

Everything runs on your existing tools (Pipedrive, HubSpot, Attio), and the system stays yours. If the numbers disappoint, you'll hear it from me.

At Jopp, my other company, we grew to €1M+ revenue in four years, mostly through hard work. After that we systemised and automated 70% of the commercial process.

Since 2025, Sowly.ai has built similar systems for 10+ B2B companies, with 400+ qualified sales conversations and €6M+ in pipeline. Because I've helped SaaS and fintech companies hire their commercial teams through Jopp since 2018, I also know who needs to run a machine like this.

Start with a baseline measurement, or work with me fractionally from two days a month.

Specialties: go-to-market strategy, revenue operations (RevOps), sales process, funnel and forecast models, CRM cleanup and setup (Pipedrive, HubSpot), outbound, B2B SaaS.