Automatic vs Manual Targeting for Amazon Book Ads

What automatic targeting actually does

In an automatic campaign, Amazon chooses who sees your ad based on your book's own metadata — title, description, category, and content. You don't enter keywords; Amazon matches your ad to searches and product pages it judges relevant.

The upside is discovery: automatic campaigns often surface keywords and competing ASINs you would never have thought to target yourself. The downside is control — you can't set a bid per keyword, only broad targeting-group bids, so weak matches can burn spend alongside good ones.

What manual targeting actually does

Manual campaigns let you pick your own keywords (or specific competing ASINs) and set a bid for each one individually. This is where comp titles, comp authors, and genre phrases go to work — and where the match-type structure (broad, phrase, exact) matters.

Manual takes more setup and more attention, but it's the only mode where your judgment about your own genre and comp titles directly shapes spend.

Which one to run first

A common workflow is to let automatic campaigns act as free research: whatever converts there becomes a new exact-match keyword in your manual campaign, where you control the bid.

• —New book, no data: start manual with a comp-title and comp-author list, plus a small automatic campaign alongside it for discovery
• —Established book with sales history: keep manual as the main driver, mine the automatic campaign's search term report monthly for new keyword ideas
• —Very tight budget: manual only — automatic's broad matching can spend faster than a small daily budget can absorb usefully

Don't run automatic alone long-term

Automatic-only accounts tend to plateau because there's no lever to push a proven keyword harder — you're bidding on a group, not a term. Treat automatic as a keyword-discovery feed into a manual campaign, not a replacement for one.