advocacyled.com

Marketing

You're spending more on content than ever and getting less back. The event budget keeps growing but the energy disappears by Monday. The certification program produces great outcomes nobody outside the room ever hears about. AI just made every competitor's content indistinguishable from yours.

The distribution you're looking for is already happening - you're just not capturing it. Every product launch, every certification cohort, every community challenge, every event produces a completion moment where people want to share. That's your ALG surface.

The Completion Moments for Marketing

Interaction The moment Intensity Activation note
Certifications & courses Skill validated, credential earned High Widest Belief Window. Strongest advocacy potential.
Product launches Beta access, early adoption Medium Share format: "I got early access to X. Here's what I found."
Community challenges Hackathons, campaigns, leaderboards High Cohort cascade is strongest here. Competition drives sharing.
Events Conference sessions, workshops, keynotes Medium Activate at session end, not a week later.
Always-on programs Community contributions, thought leadership Varies Ongoing signal. Compounds over time.

The Distribution Arbitrage

Every completion moment above produces organic distribution through participant networks. The economics are structurally different from paid channels because ALG compounds - each cycle's participants become the next cycle's advocates.

Channel Cost Annual reach
LinkedIn paid (B2B) $33-65 CPM Proportional to spend
ALG organic Marginal cost near zero 1.2M impressions/year (50 advocates × 2K reach × 12 campaigns)

Equivalent media value: $60K. And unlike paid, ALG compounds - each cycle's participants become the next cycle's advocates.

"Every interaction that creates belief is a distribution surface. ALG activates all of them."
The one-time trap

Running ALG once at a single event produces a spike. Running it as infrastructure across every event produces compounding returns. The difference between the two is not effort - it is design. Why ALG fails as a campaign explains what changes when you shift from one-off experiments to a repeatable system.