Attribution

Attribution is the process of assigning credit for a conversion or business outcome to the marketing touchpoints, channels, or actions that contributed to it. Models range from simple single-touch rules (first-click, last-click) to multi-touch approaches (linear, time decay, position-based) to data-driven attribution, which uses machine learning to estimate the actual causal contribution of each touchpoint based on historical conversion patterns across customer journeys.

In AI-driven commerce, attribution has become more complex and more important simultaneously. Customers interact across more channels — paid search, social, email, SMS, organic, in-store — and AI personalization means each customer's journey is increasingly unique, making aggregate models less reliable. Data-driven attribution models trained on first-party data provide more accurate ROI signals and enable budget reallocation decisions grounded in observed behavior rather than assumed credit. Accurate attribution is foundational to justifying AI investments in personalization and media, since without it, the incremental value of AI interventions cannot be isolated from baseline performance.