What Is Product Targeting in Amazon PPC?
Product targeting is a type of Sponsored Product or Sponsored Display campaign where you target specific ASINs rather than keywords.
Instead of bidding on what someone types, you bid to show your ad:
- On a competitor’s product detail page
- Within the “Sponsored Related Products” carousel
- Or even on your own listings (defensive targeting)
It’s one of the most strategic ways to capture buyer attention right as they’re considering another product.
Why Product Targeting Matters for Amazon Sellers
If you’re not using product targeting, you’re missing a huge chunk of high-intent traffic.
Think about it:
- Someone is already on a competitor’s listing.
- They’re comparing prices, reviews, features.
- Your ad appears right there—with a better offer.
It’s like placing your product right next to a competing brand on the shelf.
Done right, product targeting can:
- Steal sales directly from competitors
- Defend your listings from attack
- Cross-sell or upsell related items
- Show up on underperforming ASINs and dominate
Common Challenges with Product Targeting
Sellers often go wrong because they:
- ❌ Choose random competitor ASINs
- ❌ Don’t evaluate price, reviews, or BSR before targeting
- ❌ Use manual campaigns without data
- ❌ Forget about defensive targeting (protecting their own listings)
This leads to high ACoS and low conversions—which defeats the purpose.
Bidventor: Smart Product Targeting Without Guesswork
Instead of relying on gut feeling, Bidventor uses AI to identify the most strategic product targets.
What It Does:
- 🧠 Analyzes competitor ASINs by price, reviews, and performance
- 🔍 Finds gaps where your product has a clear advantage
- 🔁 Automates suggestions for offensive and defensive ASINs
- 📁 Gives you ready-to-upload targeting files—no spreadsheets needed
No more trial and error. No more wasted spend. Just smart targeting that works.
Here’s a step-by-step:
1. Identify Product Gaps
- Look for competitors with:
- Higher price
- Lower ratings
- Weak images or poor copy
2. Segment Targets
- Group ASINs by:
- Brand competitors
- Similar but lower-quality products
- Frequently bought together items (for upselling)
3. Set Custom Bids
- Don’t use default bidding—adjust based on competitiveness and historical data.
4. Add Negative ASINs
- Monitor poorly performing targets and exclude them to reduce ACoS.
5. Use Bidventor for Optimization
- Let the AI handle ongoing suggestions and updates weekly.
Real-World Use Case
A mid-sized Amazon brand in the beauty niche used Bidventor’s product targeting automation to:
- Identify 80+ weak ASINs
- Create an offensive campaign targeting overpriced rivals
- Defend their own listings with defensive placements
Result?
- 37% increase in conversions
- 23% drop in ACoS within the first 30 days
- They captured top-of-page ad space on multiple competitor listings
Defensive Targeting: Don’t Forget This Move
Want to avoid losing customers to your own competitors?
Target your own ASINs to:
- Keep buyers in your ecosystem
- Suggest variants, bundles, or accessories
- Prevent others from stealing cart space
This strategy alone can improve retention and increase average order value.
Final Thoughts: Outsmart, Don’t Outspend
Product targeting is no longer optional—it’s essential.
If you want to win market share on Amazon, you need:
- Precision
- Speed
- Automation
Bidventor gives you all three.
FAQ
Q: Can product targeting help new products?
Yes. It’s a great way to gain visibility by placing your product next to weaker or overpriced competitors.
Q: Should I target my own listings?
Absolutely—defensive targeting helps reduce lost sales and improve customer retention.
Q: Is Bidventor beginner-friendly?
Yes. It simplifies product targeting and gives you ready-to-launch files.
Q: How often should I update ASIN targets?
Weekly. Bidventor can help automate this process for you.
Ready to Steal Market Share the Smart Way?
Don’t waste another dollar on random product targeting.
👉 Try Bidventor now and start winning where it matters—on your competitor’s product pages.
