Distribution Is the Bottleneck: Why Most Media Investments Underperform

Most media investments are evaluated based on content.

Most underperform because of distribution.

Global content investment continues to rise, with major companies collectively spending over $200 billion annually [1].

At the same time, discovery is becoming more difficult, not less.

U.S. audiences now spend an average of 12 minutes searching for something to watch, up from 10.5 minutes just two years prior, and 49% of viewers say they would cancel a service due to poor discovery experience [2].

Each platform operates as a closed system:

• Visibility is algorithmically controlled

• Data is restricted

• Economics are opaque

• Access is conditional

Netflix estimates that only 20% of viewing decisions come from search, while 80% are driven by recommendations [3].

YouTube reports a similar dynamic, with ~70% of watch time driven by algorithmic recommendations [4].

This creates a system where:

Even widely distributed content can fail to reach an audience.

The constraint is not access. It is prioritization.

This has direct economic consequences.

Marketing is no longer a support function. It is a parallel system.

Historical benchmarks show that marketing spend can approach or exceed production costs. In one analysis, advertising costs ranged from 67% to 100% of production budgets for sub-$100M films [5].

At the same time, revenue is fragmented across distribution layers:

• Theatrical splits often approximate 50/50 between studios and exhibitors

• PVOD can return ~80% to the studio, shifting incentives toward direct distribution [6]

Each layer extracts value.

By the time revenue reaches the producer, it has been materially diluted.

This is where most investments fail.

Investors underwrite production risk, they do not underwrite distribution friction.

1. Develop

2. Produce

3. Then seek distribution

At that point, leverage is gone.

The project is complete. Capital is deployed. The only variable left is price.

This converts the producer into a price-taker.

1. Define distribution pathways at greenlight

2. Align production decisions to those pathways

3. Use pre-sales, incentives, and licensing to reduce exposure

There is a second-order effect: attention decay.

Users abandon content decisions quickly. Netflix internal research suggests users disengage after 60–90 seconds of browsing if no selection is made [3].

This compresses the window for discovery.

This is why many investments fail quietly.

The content exists.

The capital is spent.

The system does not support it.

The implication for investors is direct:

A project’s value is determined less by what it is, and more by how it moves through the system.

Media investments do not underperform because of weak content.

They underperform because distribution extracts more value than it creates.

Charles Beckwith is a Founder building platform-level systems for media production and distribution, designed to scale across multiple projects and markets.

[1] KPMG Media Content Spend Report

[2] Nielsen / Gracenote Report

[3] Netflix Recommendation System (Business Insider summary)

[4] YouTube Algorithm Data (Quartz)

[5] Ravid, Journal of Business (film marketing costs)

[6] Distribution Economics (Observer / Indiewire)