AI-Driven Demand Generation & Pipeline System

Role: Marketing Manager (Demand Generation & Pipeline Systems)

Mandate: Rebuilt demand generation from manual acquisition into a scalable, AI-driven pipeline system.

The Narrative: The company relied on manual acquisition and inconsistent lead flow. I was brought in to build a structured demand generation system that could scale pipeline and improve conversion.

The Solution: Built a demand generation system combining technical SEO, paid acquisition, and automated lead routing.

Key Deliverables:

• Market Intelligence Analysis: Identified high-intent segments and demand gaps.
• Acquisition Strategy: Defined SEO, paid, and inbound channels driving pipeline growth.
• Pipeline System Build: Designed lead routing, qualification, and follow-up workflows.
• Technical SEO Engine: Built search-driven acquisition generating high-intent inbound traffic.

Results:

• Pipeline Growth: Scaled to 300+ qualified leads (SQLs) per month.
• Conversion Efficiency: Reduced CAC by 66% through improved routing and qualification.
• Speed to Lead: Automated response and follow-up, eliminating delays in lead handling.
• System Output: Replaced manual SDR effort with a consistent inbound demand engine.
• Enabled a system generating 300+ SQLs/month.

Supporting Work: Demand Generation

This stakeholder report was used to define acquisition strategy, align leadership, and secure buy-in for building a scalable demand generation and pipeline system.

[DOCUMENTATION]

Used to guide demand generation strategy and pipeline build.