Amazon Subscribe & Save (SnS) is a replenishment program where customers subscribe to recurring deliveries of a product. Monitoring Subscribe & Save is critical because it creates predictable recurring revenue, but it is also highly sensitive to inventory availability (stock-outs directly translate into missed deliveries and lost revenue).

To help you manage SnS effectively, DataHawk provides two complementary datasets:

• Performance dataset: what actually happened (historical)
• Forecast dataset: what Amazon expects will happen (future)

Both datasets are available at the ASIN + time interval level and can be analyzed per account and marketplace.

Replenishment Performance

Dataset name: FBA_RESPLENISHMENT_SNS_PERFORMANCE

What this dataset is for

This dataset helps you answer:

✅ “How is my Subscribe & Save program performing?”

✅ “How many subscription units were shipped?”

✅ “What is my subscription revenue?”

✅ “How much revenue am I losing due to out-of-stock?”

Granularity

Each row represents:

1 ASIN + 1 marketplace + 1 time interval (period)

Key metrics (what to monitor)