Using Snowplow's event pipeline and trackers, you can implement this capability with granular, first‑party data and real‑time processing.

Real-time next-best-action works better for dynamic, time-sensitive use cases, such as personalized recommendations during a browsing session or immediate customer support.

Precomputed recommendations, on the other hand, are ideal for batch-style engagement, such as monthly newsletters or pre-scheduled product offers. Real-time NBA is more responsive and tailored to the customer's current context, while precomputed recommendations work for longer-term engagement strategies.