Practical breakdowns on CRM architecture, lead scoring, signals, automation, and the AI agents doing the work in between. No fluff, no gated PDFs.
A fit score and an engage score, combined into one number your reps can actually act on. Here's the exact formula.
↗Sourcing, scoring, enrichment, automation: none of it means anything on a messy CRM. Here's what "clean" actually means.
The discipline that treats your revenue stack like software: versioned, tested, and owned, not duct-taped together.
Email opens and page visits are just the start. The signals worth building alerts for, and the ones that are just noise.
Anyone can wire up a workflow. What separates one that survives contact with reality from one that quietly breaks.
What changed in the last 18 months, what still needs a human, and where the failure modes actually show up.
A dashboard is only as honest as the data under it. The three ways attribution quietly breaks before anyone notices.