What if the easiest way to grow your Amazon revenue wasn’t getting new customers, but maximizing the ones you already have?
In today’s competitive landscape — with rising ad costs and shrinking margins — top Amazon sellers are turning inward and unlocking Brand Loyalty Analytics to grow smarter.
Let’s dive into what this means, where to find the data, and how to use it to increase profitability.
🧠 Why Brand Loyalty Matters More Than Ever
For most Amazon sellers:
- CAC (Customer Acquisition Cost) is up
- ACoS is unpredictable
- Profitability is tight
But sellers who understand their loyal customer base gain three big advantages:
✅ Predictable sales
✅ Higher customer lifetime value (LTV)
✅ Reduced reliance on ads
📊 Where to Find Brand Loyalty Data
You don’t need fancy tools — Amazon gives you a lot of this data (if you know where to look).
1. Brand Analytics: Repeat Purchase Behavior
Go to Brand Analytics → Customer Behavior Dashboard.
✅ Shows how often customers repurchase
✅ Breaks down loyalty by ASIN
✅ Helps identify which products drive retention
2. Subscribe & Save Reports
Track:
- Enrollment rate
- Average reorder frequency
- Long-term LTV
3. Search Query Performance Report (SQPR)
Spot trends in branded queries. Growth here often correlates with brand loyalty.
🔎 What the Data Tells You
- Which products are “one and done”
- Which products bring customers back
- How bundles or product lines can support each other
- What drives long-term brand affinity
💡 Actionable Ways to Use Brand Loyalty Analytics
1. Build Product Funnels
If customers often buy product A → then product B…
…why not bundle them? Or cross-sell in follow-ups?
Example:
Pet brand sees 60% of customers who buy a calming chew return for a multivitamin.
🛠 Solution: Add a “Complete Care Pack” and upsell post-purchase.
2. Enhance Subscribe & Save Enrollment
If your data shows high repeat behavior:
✅ Add more S&S prompts
✅ Offer deeper incentives (10% + 15%)
✅ Highlight reorder benefits in your images
This is passive LTV growth.
3. Target Loyal Shoppers with DSP
Amazon DSP allows you to retarget based on past purchase behavior.
✅ Serve ads only to your highest-value buyers
✅ Reinforce brand message post-sale
✅ Promote product expansions or accessories
4. Launch Product Lines Based on Loyalty
Data reveals where customers are “sticky.”
If one product dominates retention, build a suite around it:
- Accessories
- Supplements
- Add-ons
- Consumables
You’re selling to people who already like you — make it easy to say yes again.
5. Improve Packaging and Branding
Review data by ASIN to see which listings have:
✅ Better reorder rates
✅ Lower return rates
✅ Higher customer sentiment
Then ask:
- Does that product have better packaging?
- Is the listing more educational?
- Are reviews more positive due to better onboarding?
Double down on what works.
🧪 Real Example: Skincare Brand
Challenge: High sales but low profits — too dependent on new customers.
Strategy:
- Used Brand Analytics to find 2 products with highest repeat rates
- Increased Subscribe & Save options
- Created a loyalty email flow with insert cards
- Built a 3-product bundle with a discount
Results:
📈 Monthly revenue up 27%
📉 ACoS dropped by 18%
📦 Subscribe & Save accounts for 22% of total sales
📉 The Cost of Ignoring Brand Loyalty
- You overspend on ads to grow
- Your revenue is volatile
- You never build brand equity — just transactions
✅ Wrap-Up: How to Take Action Today
🔹 Open your Brand Analytics
🔹 Review repeat purchase behavior by ASIN
🔹 Identify your highest-retention products
🔹 Build bundles, cross-sells, or S&S offers
🔹 Adjust your images and listings to reinforce loyalty
📈 Use what you already have to drive smarter, more profitable growth.
