In general, an N-gram is a way of breaking down customer search terms into chunks. A 1-gram is a single word, while a 2-gram or 3-gram includes word combinations, like “organic protein” or “kids snack bar.”

So when it comes to Amazon ads, analyzing these word patterns helps you spot which keyword phrases are driving results, even if they show up across different search terms. It’s a smart way to uncover keyword trends, optimize targeting, and boost performance without guessing.

Amazon search term reports reveal exactly what shoppers typed before clicking or buying. By analyzing this data, you can find high-converting keywords, eliminate wasteful ad spend, and refine your ad targeting for better ACoS. It’s a goldmine for both Amazon keyword research and campaign optimization.

Amazon search term optimizer helps you turn raw search data into actionable insights. It groups related terms, highlights performance trends, and suggests which keywords to promote or negate — often powered by N-gram analysis and AI recommendations. Amazon PPC tools like SellerMate.AI can automate this process and improve targeting at scale.

Most advertisers should audit search terms every 2 weeks, especially during high-traffic periods like Prime Day or Q4. Frequent PPC audits of Amazon ad campaigns and keywords help you add profitable terms to manual campaigns, remove poor performers, and adjust bids in real time.

At SellerMate.AI, we offer cutting-edge Amazon PPC tools like AI Recommendations, PPC Automation, Dayparting, Bulk Actions, etc., to help you identify patterns, automate keyword actions, reduce wasted spend, and scale campaigns faster.

You can try SellerMate for free and see for yourself, or talk to our team.