Overview

Amazon provides sellers with a coupon recommendation feature that suggests specific products (ASINs) for promotional coupons based on historical buyer data. The system aims to help sellers identify which products are most likely to benefit from coupon-based promotions, potentially driving increased sales. Understanding how this tool works can help sellers make smarter decisions about their promotional strategy.

Key Points / What Sellers Need to Know

• Recommendations are data-driven — Amazon selects ASINs for coupon suggestions based on historical purchasing patterns and predicted sales forecasts, ranking products by their likelihood to generate additional sales when paired with a coupon.
• Weekly refresh cycle — The recommended ASINs are updated on a weekly basis, so sellers should check back regularly for new suggestions.
• Same eligibility rules apply — Coupon recommendations follow the exact same eligibility criteria as standard coupons, so there are no special requirements or exceptions for recommended promotions.
• Recommendations are optional — These suggestions are purely advisory. Sellers are not required to act on them and should use their own judgment when deciding whether to create a coupon.
• No opt-out or decline feature — Currently, there is no way to dismiss specific recommendations or opt out of seeing them in the recommendations tab.

How the Recommendation System Works

Amazon's algorithm analyzes historical buyer behavior to identify products in a seller's catalog that would likely see a sales uplift when offered with a coupon. These ASINs are then ranked by their predicted sales forecast and presented to the seller as recommendations. The system refreshes its suggestions each week, drawing on the latest available data. If a seller notices the same products appearing repeatedly, it typically means the data consistently indicates those items are strong candidates for coupon promotions. In some cases, a seller may find that no recommendations are available for a given week, which simply means the algorithm did not identify strong coupon candidates during that cycle.

Creating Coupons Without Recommendations