Commerce Graph

Before dashboards. Before attribution. Before creative.

Outside the Walled Gardens, By Design

The largest ecommerce datasets live inside closed systems: ad platforms, marketplaces, and retail media networks. Each of them only shows you a narrow slice of reality, tightly controls how data can be used, and optimizes for its own platform outcomes rather than true buyer understanding.

The Proxima Commerce Graph is built differently. It exists outside those walls, giving you clear visibility into how personas actually convert, how behavior patterns translate across categories, and how buyers act without platform bias influencing the story.

By the Numbers

The Proxima Commerce Graph operates at market scale:

73M+

Unique buyers

Multiple verticals, price tiers, and categories

2000+

Ecommerce brands

Continuously updating, real-world signal

Billions

In observed commerce events

What Is the Proxima Commerce Graph?

The Proxima Commerce Graph is a behavior-based intelligence layer that maps how real buyers discover products, respond to creative and messaging, and ultimately convert over time, maximizing customer lifetime value in the process.

It connects shoppers, products, creative and messaging, and conversion outcomes into a single, structured view of what actually works at scale (and what doesn’t).

Why Scale Changes Everything

Inside a single brand’s data, signal is sparse, tests are often underpowered, and meaningful learnings tend to arrive too late to shape strategy.

At the scale of the Commerce Graph, the picture changes entirely. Proxima sees dramatically richer behavioral signal than any one brand could generate on its own, with roughly 100x more observations informing creative direction. Patterns across buyers, products, and messaging become clearer, shifts in the market surface earlier, and teams get stronger starting points for deciding what to test and where to focus.

What Makes the Data Different

Behavior, Not Opinion

No surveys. No panels. No modeled intent.

The graph is built on observed buying behavior

Cross-Brand by Default

Most tools stop at the brand boundary.

The Commerce Graph spans thousands of brands, allowing:

  • Insights to generalize

  • Learnings to compound

  • Patterns to hold across environments

Connected to Conversion

The data isn’t just large, it’s linked to outcomes.Creative themes, value props, and narratives are analyzed in the context of actual purchase behavior, not vanity metrics.

What the Commerce Graph Measures

Key dimensions include:

Buyer segments and behavioral clusters

Category and buyer-discount sensitivity 

Messaging and value-prop performance

Emerging vs declining conversion patterns

Why This Is Hard to Replicate

Building a commerce graph at this level requires:

Long-term data access

Massive normalization across brands

Pattern recognition across noisy, real-world inputs

Time: this compounds, it can’t be rushed

Build on Open Market Signal

By operating outside the walled gardens, at massive scale, Proxima provides the clearest view of buyer behavior available to modern ecommerce teams. This is the data layer everything else is built on.