I know what a broken pipeline actually looks like. I know why B2B buying cycles stall. I know what makes a 90-day deal behave differently than the CRM says it should.

// PROPERTY INTELLIGENCE DATA

I've worked inside the systems that score homeowner propensity, model equity positions, and predict permit pull timing. I understand what makes lead scoring work in property intelligence — the data attributes that actually predict close rates — and what makes it fail.

// CHANNEL DISTRIBUTION DYNAMICS

B2B platforms that sell through a fragmented professional channel face a different acquisition problem than direct-motion SaaS. I understand how partner churn, adoption timing, and referral economics interact — and how to build a flywheel that compounds rather than requiring linear CAC every cycle.

// COMPLEX BUYING CYCLES

Products with 90-180 day sales cycles need entirely different pipeline architecture than standard SaaS. Most playbooks are designed for 30-day cycles. That's not a critique of the founders using them — it's a structural mismatch. I design for the actual cycle your buyers run. complex buying cycles require their own architecture.

// REGULATED INDUSTRY GTM

Healthcare AI, legal tech, and insurance SaaS have compliance-shaped buyer journeys. Procurement involves legal review. Implementation requires security clearance. The acquisition motion accounts for this or it fails. Most standard SaaS GTM frameworks don't.