The most fundamental decision in Amazon book advertising explained — what each targeting type does, why you need both running simultaneously, and exactly how to move data between them.
| 10-minute read | Beginner · Intermediate |
The most common Amazon Ads mistake among KDP authors is running only one targeting type — either only automatic (set and forget) or only manual (without the data to populate it properly). Both are needed, and they serve different roles in a campaign structure that compounds performance over time. For the full advertising foundation, see our complete guide to Amazon Ads for authors.
How Automatic Targeting Works
In an automatic targeting campaign, Amazon’s algorithm matches your ad to reader search queries and product pages without you specifying any targets. It reads your book’s metadata — title, subtitle, description, categories, and backend keywords — and decides when your ad is relevant. It is the fastest way to start getting data and the only way to discover search terms you would never have thought to target manually.
The tradeoff: you have less control over where your budget goes, and you will inevitably show your ad for irrelevant searches until you add enough negative keywords to filter them out.
The Four Automatic Sub-Types
Automatic targeting uses four distinct match types you can bid on separately rather than setting a single default bid for all. Close Match shows your ad for searches closely related to your book — the tightest and usually most efficient automatic sub-type. Loose Match shows your ad for more broadly related searches — higher reach, lower precision. Substitutes shows your ad on the product pages of books similar to yours. Complements shows your ad on product pages of related but different books — a thriller might appear on the page of a crime podcast book, for example.
Setting separate bids for each sub-type lets you concentrate budget on Close Match (usually the highest converter) while giving Loose Match and Substitutes a lower bid to capture data without overspending.
How Manual Targeting Works
Manual targeting requires you to specify exactly what you want to bid on — either keywords (with match types) or specific products and categories. You have full control over what triggers your ad and at what bid. The limitation: you can only bid on terms you know about. This is why running automatic campaigns to discover new terms is not optional — it is how you populate your manual campaigns with data-backed targets.
Why You Need Both Running Together
Automatic campaigns are discovery engines. Manual campaigns are precision converters. Running only automatic means you discover new terms but overspend on broad matches and have no control over your best performers. Running only manual means you miss the search terms you do not know exist, and your targeting gradually goes stale as reader search behaviour evolves.
The two-campaign structure runs simultaneously and feeds itself: automatic generates terms, manual exploits the proven ones, negatives keep the campaigns from competing against each other.
The Harvest-and-Scale Workflow
After your automatic campaign has run for at least 14 days: pull the Search Term Report from the advertising console. Filter for search terms that generated at least one sale at or below your breakeven ACoS. These are your proven converters — add them to your manual keyword campaign as exact match keywords. They are now being bid on precisely and efficiently in manual, with the automatic campaign continuing to discover new terms alongside.
Negative Targeting to Prevent Overlap
Once you promote a term from auto to manual, add it as a negative exact match in your automatic campaign. This prevents the two campaigns from competing against each other for the same auction — which would drive up your own costs. Negatives also filter out irrelevant terms: any search query in your Search Term Report with many clicks but zero sales should be added as a negative keyword to stop wasting budget on it.
When to Shift More Budget to Manual
As your manual campaign’s exact match list grows with proven converters, it becomes your primary revenue driver. At this point, you can gradually shift budget allocation toward manual and reduce the automatic campaign’s daily budget — while keeping the automatic campaign running at a maintenance level to continue discovering new terms. Most experienced KDP advertisers settle on roughly 60–70% of budget in manual and 30–40% in automatic once the manual campaign is fully seeded.
Your ads bring readers to your book. Manuscript proofreading before publishing from Vappingo ensures the book those readers find is error-free and worthy of the five-star reviews that strengthen your ad performance over time.
