Noelle is an advertiser at a hair care brand, and is looking to drive more sales of her brand's shampoo line. She wants to better understand the cadence for replenishment of her shampoo so that she can better create advertising to reengage shoppers when they may be looking to buy again. What should Noelle look at in Amazon Brand Analytics?

Repeat Purchase Behavior in Amazon Brand Analytics provides data on how frequently customers repurchase a product. This directly helps Noelle understand the replenishment cycle for her shampoo, allowing her to time her advertising campaigns to re-engage customers when they are likely to need a new bottle. Item Comparison shows how her products are viewed alongside competitors, which is useful for competitive analysis but not replenishment timing. Market Basket Analysis reveals products frequently purchased together, which is good for cross-selling but not for understanding repeat purchases of a single item. Traffic Diagnostics helps identify issues with ad campaigns or product page traffic, not customer repurchase patterns.