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RIVERMARK RESEARCH
RELATIONAL INTELLIGENCE FOR PRODUCT ECOSYSTEMS

Your Data Has a Story.
Let Us Help You Tell It.

SEED constructs a relational understanding of your product ecosystem—revealing how products, attributes, and concepts connect. When behavior occurs, intentions propagate across that structure to create observed affinity. No cookies. No assumptions.

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RELATIONSHIP DISCOVERY

SEED reveals how products connect through shared inflections—before behavior, and especially once it begins

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Your product data knows more than you think.
SEED makes the connections visible.

Most systems treat products as isolated records. SEED builds a relational model that captures how products, attributes, and concepts relate—creating the context behavior needs to become meaningful.

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Discover Hidden Relationships

Reveal semantic and range-based connections across products that don't exist explicitly in your data—but do exist in how people think.

Make Behavior Meaningful

When interactions occur, intentions map to inflections and propagate across related products—turning isolated actions into ecosystem-level insight.

Understand Observed Affinity

See which attributes and concepts drive preference across your catalog—based on real events, not assumptions or predictions.

Start with Structure

SEED establishes relational context immediately, so the moment behavior starts, insight follows naturally.

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See Your Product Relationships Clearly

We'll walk through how SEED models your product ecosystem and demonstrate how behavior maps to that structure—using a live demo or your own data.

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No cookies. No identity resolution. No claims without events.