In Amazon’s hyper-competitive landscape, it’s no longer enough to just drive traffic — you need to target the right people.
That means identifying your most promising customers — those who are more likely to:
✅ Buy multiple times
✅ Spend more per order
✅ Stick with your brand
✅ Leave reviews and referrals
Let’s unpack how to find them — and how to turn that insight into scalable growth.
🧠 What Are “Promising Customers”?
They’re the ones who have the potential to drive more revenue without extra effort.
They often:
- Reorder regularly
- Respond well to promotions
- Buy across multiple SKUs
- Engage with your Storefront or content
- Fall into key demographic or behavioral segments
🔍 Where to Find the Data
1. Brand Analytics (Repeat Purchase Behavior)
This report shows which ASINs have high reorder potential. Look for:
✅ High % of repeat orders
✅ Short reorder cycles (30–60 days)
✅ Consistent SKU-level interest
2. Customer Insights Dashboard (if available)
Use to analyze:
- Average order value (AOV)
- Time between purchases
- Order frequency by customer cohort
3. Brand Tailored Promotions Audience Options
Amazon gives access to customer segments like:
- High spenders
- Recent buyers
- Storefront visitors
- Cart abandoners
- Repeat purchasers
Each one can reveal who’s most likely to engage with your brand.
📊 Segmenting Promising Customers
Once you have your data, break them into groups:
- Loyal Repeat Buyers – These are gold. Keep them close.
- High-Spend Customers – Big basket sizes = big LTV.
- Cart Abandoners – They almost converted.
- Engaged Visitors – Storefront and Brand Page activity shows interest.
🧠 Strategies to Target & Convert Them
1. Brand Tailored Promotions
Run exclusive discounts to:
✅ Repeat buyers
✅ Visitors who didn’t convert
✅ High spenders to reward loyalty
2. Amazon DSP for Retargeting
For brands with access to DSP:
🎯 Retarget high-intent audiences with:
- New product launches
- Bundle deals
- Loyalty perks
3. Listing & Storefront Personalization
Optimize messaging for your best segments:
- Create A+ modules that speak to loyalty/repeat value
- Show product use cases based on high-spend behavior
- Feature bundles that your top buyers are most likely to grab
4. Subscription Push
If you sell consumables, use:
✅ Inserts
✅ A+ content
✅ Tailored promos
…to encourage Subscribe & Save.
🧪 Real-World Example
Brand: Premium pet supplements
📉 Problem: Declining AOV and fewer reviews
📈 Strategy:
- Used Brand Analytics to find top SKUs with high reorder rates
- Created bundles just for repeat buyers
- Launched Brand Tailored Promotions targeting high-spenders
📊 Results:
- 23% increase in average order value
- 33% boost in repeat purchases
- Positive sentiment in reviews about “VIP perks”
⚠️ Mistakes to Avoid
❌ Targeting everyone the same way
❌ Ignoring LTV and just chasing conversion
❌ Running promos without segment logic
❌ Missing data in your post-purchase analysis
✅ Key Takeaways
🔹 Not all customers are created equal
🔹 Find the ones that matter most — and invest in them
🔹 Use Brand Analytics, DSP, and Tailored Promotions
🔹 Build loyalty early with bundles, perks, and subscription
🔹 Track cohort behavior and LTV over time
Final Word
Your most promising customers are already there — buried in your data.
✅ Find them
✅ Segment them
✅ Serve them strategically
The result?
📈 Higher margins
📈 Lower ad costs
📈 Sustainable growth
