Netflix has been employing eBPF (Extended Berkeley Packet Filter) flow logs to enhance its data attribution methodologies. This technology allows Netflix to track and bridge user engagement with specific content more effectively, leading to better insights into user preferences and streaming performance. Understanding how users interact with their content can help Netflix anticipate viewer drop-off and optimize their offerings accordingly. However, while functionalities such as identifying user behavior are improving, there are still challenges regarding user retention, which is highlighted by comments indicating dissatisfaction leading users to explore other streaming options. This suggests that data analytics must go hand in hand with content strategy to maintain competitiveness in the streaming market.