The Social-First Theory

The Social-First Theory asserts that social platforms have replaced traditional media and marketing as the primary system governing visibility, demand, and cultural relevance. The brands that treat social as the front end of market formation will own the next generation of cultural and commercial visibility.

Read the Whitepaper →

An operating model, not a marketing strategy.

The Social-First Theory asserts that interest-graph platforms have replaced traditional media and marketing as the primary system governing visibility, demand, and cultural relevance. In this model, growth depends on a brand's ability to operate within the Discovery Layer—the environment where algorithms and collective behavior determine what enters public consciousness. Within the Discovery Layer, visibility is not bought; it is earned by aligning with the behaviors and content mechanics that govern what people see.

These behaviors are organized by interest-graph platforms such as TikTok, YouTube Shorts, and Instagram Reels, which cluster users into communities based on shared actions rather than demographics. Inside these communities, a consistent grammar of formats, rituals, trends, and memes coordinates participation and determines what circulates broadly. This grammar functions as the operating system of modern culture, organizing how content, products, and people gain validation and scale.

Competitive advantage now depends on how effectively organizations operate inside the Discovery Layer: designing products, messages, and participation models that align with community behaviors and the mechanics of the interest graph. The brands that treat social not as a marketing channel but as the front end of market formation will own the next generation of cultural and commercial visibility.

Glossary

Culture

The collective pattern of behaviors, preferences, and meanings that emerge through continuous participation in social platforms.

Discovery Layer

A new structural tier that sits above awareness, consideration, and conversion. It represents the algorithms, recommendation systems, and community dynamics that determine what enters cultural visibility in the first place.

Formats

A format is a repeatable content structure that organizes how information or behavior is presented in a platform-native way.

Read More →

Interest Graph

The interest graph is a recommendation model that organizes users and content based on behavioral alignment rather than social connection. It is built by tracking patterns in what users watch, like, save, or share—and is used by platforms to cluster content and communities based on interests, not relationships.

Interest Graph Platforms

The algorithmic networks—such as TikTok, YouTube Shorts, and Instagram Reels—that drive what content circulates and to whom. These platforms are optimized for discovery, not distribution. They reward repeatable behaviors, prioritize content structure over creator identity, and are where most culture-led product discovery now occurs.

Interest Graph–Driven Communities

The emergent behavioral groups formed by algorithmic clustering; they become the engines of cultural propagation. These communities form based on shared interests rather than social relationships, and they operate around repeated structures such as formats, rituals, trends, and memes. IGDCs are central to how discovery and cultural organization now occur on platforms like TikTok, Instagram Reels, and YouTube Shorts.

Read More →

Memes

A meme is a symbolic, culturally-recognized content unit that spreads through remixing, reference, and repetition.

Read More →

Rituals

A ritual is a recurring behavioral pattern or themed content moment that occurs at regular intervals within a community.

Read More →

Trends

A trend is a time-bound content wave marked by high engagement around a specific structure, audio, or behavior.

Read More →