ASIN targeting lets you place your book ad directly on competitor product pages. Learn how to find the right ASINs, set competitive bids, and convert competitor readers into your buyers.
ASIN (Amazon Standard Identification Number) targeting is a form of product targeting that lets you place your book ad directly on the product pages of specific competitor books. When a reader visits the Amazon page for a competing title, your ad appears in the "Sponsored products related to this item" section — directly in front of a reader who is already interested in books like yours.
This is one of the most precise targeting methods available to KDP authors. Instead of hoping your keyword matches a reader's search query, you're placing your ad in front of readers who have already demonstrated interest in a specific book that's similar to yours.
The conversion logic is straightforward: a reader on a competitor's book page is actively considering buying that book. They're not casually browsing — they've clicked through to read the description, check reviews, and evaluate the price. This is high-intent behavior.
Your ad appearing on that page says: "Before you buy that book, consider this one." If your cover is compelling, your price is competitive, and your reviews are strong, a meaningful percentage of those readers will click through to your page instead.
ASIN targeting advantages over keyword targeting:
| Aspect | Keyword Targeting | ASIN Targeting |
|---|---|---|
| Audience intent | Variable (depends on search query) | High (actively viewing a similar book) |
| Competition | High for popular keywords | Lower — most authors don't do this |
| Placement | Search results | Competitor product pages |
| Data needed | Keyword research | Competitor ASIN list |
| Best for | Discovery | Conversion |
The quality of your ASIN targeting depends entirely on which books you choose to target. Here's a systematic approach:
Navigate to your book's primary category on Amazon (e.g., "Kindle Store → Kindle eBooks → Mystery, Thriller & Suspense → Cozy Mysteries"). The top 20–50 books in that list are your primary targets. These books have proven demand and attract exactly the readers you want.
To find an ASIN: click any book, look at the URL — the ASIN is the 10-character code after "/dp/" (e.g., B09XYZ1234).
On any competitor book page, scroll to the "Customers also bought" section. These books are algorithmically linked to your competitor — readers who bought one often buy the other. They're ideal ASIN targets because the audience overlap is proven.
If you've run auto-targeting Sponsored Products campaigns, download your Search Term Report and look for ASIN-format entries (they start with "B0" and are 10 characters). These are ASINs where Amazon already showed your ad — meaning Amazon's algorithm identified them as relevant. These are your highest-priority manual ASIN targets.
Goodreads' "Readers Also Enjoyed" section on any book page is a goldmine for ASIN targeting. Search for the Goodreads page of your top competitor, note the 10–20 books listed as "Readers Also Enjoyed," then find their ASINs on Amazon.
In Amazon Advertising, create a new Sponsored Products campaign. Choose Manual targeting → Product targeting (not keyword targeting).
You can add ASINs individually or in bulk (paste a list, one per line). Start with 20–50 ASINs. More targets mean more data; fewer targets mean more control.
ASIN targeting bids work differently from keyword bids. You're bidding for placement on a specific product page, not for a search result position.
Starting bid recommendations:
| Target Book Rank | Recommended Starting Bid |
|---|---|
| Top 100 in category | $0.45–$0.70 |
| Rank 101–500 | $0.30–$0.50 |
| Rank 501–2,000 | $0.20–$0.35 |
| Rank 2,001+ | $0.15–$0.25 |
Higher-ranked books attract more traffic, so they require higher bids to win placement. Lower-ranked books are cheaper to target but deliver less volume.
Create separate ad groups for different tiers of competitors:
Tier 1 — Direct Competitors: Books almost identical to yours in genre, subgenre, tone, and target audience. These readers are most likely to buy your book. Bid highest.
Tier 2 — Adjacent Competitors: Books in the same genre but different subgenre. Readers may or may not be interested. Bid moderately.
Tier 3 — Category Leaders: The top 5–10 bestsellers in your category. High traffic but lower conversion because readers may be specifically looking for that author. Bid conservatively.
Amazon also offers Category targeting — instead of specific ASINs, you target an entire browse category. This is broader and easier to set up but less precise.
| Feature | ASIN Targeting | Category Targeting |
|---|---|---|
| Precision | High | Low |
| Setup effort | Medium (need ASIN list) | Low |
| Average CPC | $0.25–$0.65 | $0.15–$0.40 |
| Average ACOS | 22–35% | 30–50% |
| Best for | Scaling proven competitors | Discovery and testing |
Recommendation: Use Category targeting first to identify which categories convert for your book, then switch to ASIN targeting within those categories for better efficiency.
Just as you add negative keywords to Sponsored Products, you can add negative ASINs to prevent your ad from appearing on specific product pages. Use this for:
Based on kdp.ad user data across fiction categories:
Authors who add ASIN targeting to their existing Sponsored Products campaigns see an average of 18–32% increase in total monthly sales within 60 days, with an average ACOS of 27.4% — lower than their Sponsored Products ACOS in most cases.
The key insight: ASIN targeting reaches readers who are further along in the purchase decision than keyword searchers. They've already found the category, evaluated a specific book, and are in active buying mode. Your ad catches them at exactly the right moment.
kdp.ad's product targeting dashboard shows ACOS, conversion rate, and spend for every ASIN you're targeting — with AI-powered bid recommendations updated daily. Start your free trial.
Recommended Resource
Includes a full chapter on ASIN and product targeting strategies — how to find competitor ASINs, set bids, and measure read-through value.
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