JourneyStrata Model™

A proprietary analytics system that uncovers the underlying architecture of shopper behavior.
Using reported touchpoints and stage clarifying inputs, the JourneyStrata Model detects consistent behavioral patterns that define how people move through the marketplace — revealing a small number of stable, repeatable journey types.
It separates signal from noise across multiple categories, aligning different data sources into a unified behavioral map that brands can actually act on.
Under the hood, the model employs multi-dimensional factorization and cross-category regularization to ensure each journey is both distinctive and empirically supported.

In simple terms: it digs through the data to expose the hidden layers of how shoppers really behave.

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JourneyEngagement Engine™

A proprietary predictive framework that quantifies how and why shoppers advance between engagement stages.
It converts survey responses and touchpoint exposures into a structured set of probabilities — estimating which brand actions, experiences, or messages are most likely to propel people forward, sustain loyalty, or stall momentum.
The Engine powers an interactive simulator that runs “what-if” scenarios, allowing decision-makers to test interventions, see expected outcomes, and prioritize investments with confidence.
Under the hood, it draws on hierarchical progression modeling and constrained likelihood estimation — translating complex behavioral inputs into business-ready guidance.

In simple terms: it measures what moves shoppers — and shows how to move more of them.