Each affiliate interaction gets a weighted share based on the attribution model. Linear models divide credit evenly, while time-decay gives more value to recent clicks. Position-based setups reward first and last touch more heavily. Data-driven models use historical conversion paths to assign dynamic percentages. Tracking logs act like a funnel map, showing how users move between affiliates before purchasing. This ensures payouts reflect real influence, reduces bias toward closing links, and aligns incentives across the entire affiliate ecosystem.