Glossary
Attribution Modeling
Assigning credit for conversions. Sentient uses multi-factor modeling beyond basic attribution.
Definition
Attribution Modeling assigns credit for conversions across touchpoints-which ad, which creator, which channel drove the sale? Traditional attribution uses rules: last-click, first-click, linear. These miss causality. Sentient OS applies multi-factor conversion modeling: price sensitivity, engagement quality, match quality, temporal factors-each weighted by causal contribution. The Conversion Modeling module identifies true drivers, not just touchpoint sequence. Attribution becomes causal: we understand why conversion happened, not just what was clicked. This enables deterministic budget allocation and ROI projection. Multi-factor attribution replaces last-click with mathematical precision.
Why It Matters
Sentient's multi-factor attribution enables deterministic execution. We know what drives conversion-so we can allocate budget accordingly.
Related Pages
Related Terms
Conversion Rate
Percentage of users taking desired action. Sentient's multi-factor model identifies exact lift per driver.
Causal Analysis
Going beyond correlation to understand causality. Not 'Who knows whom?' but 'Who controls whom?'
Return on Investment (ROI)
Sentient provides deterministic ROI projections, not estimates. Calculates actual cost vs revenue outcomes.
Deterministic Execution
Moving from probabilistic guessing to mathematically precise, causal decision-making.
Conversion Modeling
Command Center Module II - multi-factor driver analysis that reveals why people buy, with tactical weighting per factor.
Explore the Full Platform
See how these concepts come to life inside Sentient OS.