Build a LinkedIn Pipeline Engine for CMOs

Hosted by Will Leatherman

Wed, Mar 18, 2026

4:00 PM UTC (45 minutes)

Virtual (Zoom)

Free to join

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Founder-Led Content: Turn Cold Buyers Into Warm Pipeline
Will Leatherman and Jacob Bank
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What you'll learn

How to extract executive insights into a 30-day asset map

Turn one 60-min exec interview into 30+ days of LinkedIn content using repeatable workflows and QC gates.

How to coordinate a LinkedIn ecosystem across stakeholders

Align founder, exec, employee, and company-page content into one distribution system — without generic AI voice.

Tie content to pipeline in 90 days

Set up leading indicators and attribution that connect LinkedIn content to CRM revenue within 90 days.

Why this topic matters

Most B2B teams treat LinkedIn as a posting channel, not a pipeline system. CMOs are asked to prove content ROI while drowning in AI-generated noise. This session shows the operational model—roles, workflows, AI assists, and measurement—that turns executive expertise into a compounding content engine tied to revenue, not vanity metrics.

You'll learn from

Will Leatherman

Founder at Catalyst Content, building content systems for B2B GTM teams

Will Leatherman builds content engines for B2B companies that extract expert insights from executives and scale them into pipeline-driving assets. At Catalyst Content, he works with GTM teams to create repeatable workflows that turn interviews into multi-channel content while preserving technical depth and strategic POV.


Before Catalyst, Will was CMO at Parcl, a blockchain real estate platform, where he led a 300% increase in user acquisition. He previously spent three years as Creative Strategist at Billion Dollar Boy, developing campaigns for Primark, Campari, Kate Spade, WeWork, PepsiCo, and BMW.


His approach centers on "content engineering"—treating content as a system with defined inputs, outputs, quality gates, and metrics. He advises B2B companies including Valley and Uranium Digital on LinkedIn ecosystem strategies, AI-assisted production workflows, and attribution methods that connect content to closed revenue.


Will studied advertising at Savannah College of Art and Design and is based in New York.

Previously at

AirOps
Relay.app
a16z
Instantly.ai

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