It tracks referral links, clicks, and timestamps across the entire journey to understand how users move between partners. Then it applies weighting models like linear, time decay, or algorithmic attribution to split credit fairly among touchpoints. These logs act like behavioral heatmaps, showing where users first engage, pause, or convert across channels. This helps identify assist partners versus final converters and improves optimization of partner mix over time. Insights then guide smarter allocation of credit and better conversion forecasting for future campaigns.