Overview

Amazon has introduced a new suite called Customer Loyalty Analytics paired with the Business Planner. Announced during a recent corporate briefing, the tools let sellers pinpoint repeat buyers, study their purchase rhythms, and feed that insight into inventory and marketing plans. Vendors that depend on recurring sales should watch closely, as the features are designed to tighten targeting, reduce stockouts, and improve revenue forecasts.

Key Points

• Repeat‑Buyer List — Generates a roster of shoppers who placed two or more orders within a chosen window, such as the last 30, 60, or 90 days. Example: A seller of kitchen gadgets discovers 22 customers who bought a blender and then a food processor within the past 45 days.
• Frequency Dashboard — Shows how often each repeat customer orders, the average days between purchases, and total spend per buyer. Example: The dashboard reveals that a subset of buyers purchases a new coffee maker roughly every 28 days.
• Segmentation Filters — Allows slicing of repeat‑buyer data by product line, order value, or geographic region to build highly targeted groups. Example: Filtering for orders over $200 in the Pacific Northwest isolates 9 premium‑spending customers for a special campaign.
• Planner Integration — Links loyalty metrics directly to inventory projections, letting sellers model stock requirements based on expected repeat‑purchase cycles. Example: The planner suggests ordering an extra 40 premium headphones to satisfy a projected repeat‑order surge next month.
• Proactive Alerts — Sends notifications when a high‑value repeat buyer’s purchase cadence slows, prompting timely re‑engagement. Example: An alert fires when a loyal pet‑food customer exceeds a 40‑day gap between orders, triggering a discount email.
• CSV Export — Enables downloading of any loyalty report for use in external CRM, email‑marketing, or analytics platforms. Example: A beauty brand exports the list of repeat purchasers and imports it into Klaviyo to run a VIP‑only flash sale.