📊 Native Data Mastery
Unlocking Amazon’s Most Underutilized Retention Dashboard
Most brand-registered sellers only use Brand Analytics for Search Query Performance and Top Search Terms. They completely ignore the Repeat Purchase Behavior dashboard.
This free native report gives you direct ASIN-level visibility into repeat order quantities, repeat customer sales dollars, and cohort retention percentages without requiring expensive third-party database subscriptions.
When Amazon launched Brand Analytics, it gave brand owners unprecedented access to first-party customer behavior data.
Understanding how many unique customers placed a 2nd, 3rd, or 4th order allows you to identify your strongest products and optimize your ad spend accordingly.
In this guide, we break down how to locate, filter, and extract actionable insights from the Repeat Purchase dashboard in 2026.
Table of Contents
How to Access the Repeat Purchase Report in Seller Central
To access the report, log in to Seller Central, navigate to the main menu → Brands → Brand Analytics, select the Customer Behavior Analytics section, and click on the Repeat Purchase Behavior tab.
Ensure your brand is enrolled in Amazon Brand Registry to access this dashboard.
Select monthly, quarterly, or yearly reporting ranges to view meaningful multi-month buyer cohorts.
Key Metrics Explained: Orders, Customers & Sales
The Repeat Purchase report provides four primary metrics: Total Orders, Unique Customers, Repeat Customers, and Repeat Purchase Revenue, which together reveal the exact percentage of your brand sales driven by returning buyers.
- 1. Orders: Total unit checkout orders placed for the selected ASIN or parent brand.
- 2. Unique Customers: Total count of distinct Amazon customer accounts that purchased the product.
- 3. Repeat Customers (%): The percentage of unique customers who purchased the product more than once during the reporting timeframe.
- 4. Repeat Purchase Ordered Product Sales: Total gross revenue generated exclusively by returning customers.
How to Audit ASIN-Level Repeat Performance
Audit ASIN-level performance by sorting your catalog by repeat sales percentage to identify your top gateway products and flag SKUs with high customer return rates that fail to produce backend re-orders.
To learn how to scale your top entry products, explore our guide on Identifying Amazon Gateway SKUs.
Turning Brand Analytics Data into Actionable PPC Strategies
Use repeat purchase data to increase top-of-search PPC bids on high-repeat ASINs, deploy Brand Tailored Promotions to past customers, and lower ad budgets on one-off products that lack retention momentum.
For complete budget calculations, read our guide on Setting Amazon PPC Budgets Per SKU.
How to Interpret the Repeat Customer Percentage Column
The Repeat Customer Percentage column calculates the exact proportion of unique buyers who completed two or more orders for that specific ASIN during the selected timeframe, serving as your primary indicator of product satisfaction and replenishment demand.
If an ASIN exhibits a repeat customer rate above 20%, it qualifies as an elite retention driver in your catalog.
If the repeat rate is below 5% for a consumable product, review customer feedback for product taste, packaging defects, or efficacy issues.
Combining Repeat Purchase Data with Search Query Performance
Cross-referencing Repeat Purchase reports with Search Query Performance allows brand owners to see which high-volume search terms deliver the highest proportion of recurring brand buyers rather than one-time bargain hunters.
- Brand Query Share: Track the growth of your branded search impressions to verify that past buyers are returning to search specifically for your brand name.
- Cart-Add to Purchase Conversion: Identify search terms with above-average purchase rates and allocate additional top-of-search PPC budget.
How to Automate Brand Analytics CSV Exports with Python or AMC
Automate your weekly Brand Analytics data collection by utilizing Amazon’s Selling Partner API (SP-API) or scheduling automated SQL reports in Amazon Marketing Cloud (AMC) to feed internal business intelligence dashboards.
Integrating Repeat Purchase Data with Amazon Marketing Cloud (AMC)
Connecting Amazon Brand Analytics metrics with Amazon Marketing Cloud (AMC) allows brand analysts to write SQL queries that join first-party customer cohort data with multi-touch ad exposure logs across Sponsored Products, Sponsored Brands, and Amazon DSP.
By running custom AMC queries, you can determine the exact ad sequence that produces the highest 12-month customer lifetime value.
For instance, you can measure whether exposing a customer to a Sponsored Brands video ad prior to their first purchase increases their 90-day repeat purchase probability compared to Sponsored Products alone.
Using Market Basket Affinity to Build 2-Pack and 3-Pack Variations
The Market Basket Analysis report inside Brand Analytics reveals the top 3 products most frequently purchased in combination with your ASIN, providing direct data on which catalog items should be packaged into physical FBA bundles.
Reviewing this data quarterly eliminates guesswork in product development.
If 15% of your customers buy your cutting board alongside your chef’s knife, creating a dedicated knife-and-board combo listing immediately boosts your Average Order Value (AOV).
The 5-Step Weekly Brand Analytics Optimization Checklist
A disciplined weekly Brand Analytics audit involves pulling ASIN repeat percentages, reviewing Search Query Performance click shares, identifying high-affinity market basket items, and adjusting PPC campaign budgets to favor top retention drivers.
- 1. Pull Weekly Repeat Purchase Reports: Identify any sudden dips in repeat sales percentage across your top 5 revenue-driving ASINs.
- 2. Review Search Query Impression Share: Ensure your gateway products maintain a top-3 impression share on high-converting category keywords.
- 3. Audit Market Basket Shifts: Check for emerging product combinations that could form new Virtual Bundles.
- 4. Check Brand Query Volume: Track total weekly searches for your brand name to measure organic brand recall momentum.
- 5. Align PPC Bids with Repeat Rates: Reallocate ad budget toward ASINs with repeat rates exceeding 20%.
Analyzing Customer Demographics to Refine Retention Strategy
The Demographics report in Amazon Brand Analytics breaks down customer age groups, household income tiers, and marital status, allowing brand managers to tailor packaging design and product messaging to their highest-LTV buyer segments.
If your demographic data reveals that 65% of your repeat buyers are married homeowners with household incomes above $100,000, tailor your imagery and A+ content to premium lifestyle aesthetics.
Aligning your brand positioning with your core demographic increases customer affinity and repeat purchase loyalty across your entire catalog.
How to Benchmark Your Repeat Rates Against Amazon Category Averages
Compare your ASIN repeat sales percentage against published category benchmarks to evaluate whether your customer retention is outperforming or lagging behind competing brands in your niche.
Consistently maintaining a repeat purchase rate 10% higher than your category average provides a sustainable competitive advantage in paid search auctions.
Using Repeat Purchase Data for Precision Quarterly Inventory Forecasting
Incorporate ASIN-specific repeat order curves into your inventory purchase orders to avoid underestimating replenishment demand and prevent costly out-of-stock events on your top retention products.
Standard forecasting models only look at historical 30-day sales velocity.
If your brand has acquired 5,000 new customers over the past 90 days with a 30% repeat rate, you must order an additional 1,500 units specifically to satisfy upcoming cohort re-orders.
Cross-Referencing Brand Analytics with FBA Inventory Health Reports
Correlating ASIN repeat purchase velocity with Amazon FBA Inventory Health reports ensures that high-retention products maintain optimal warehouse stock levels without incurring aged inventory surcharges.
Aged inventory surcharges apply to inventory stored in Amazon fulfillment centers for over 180 days.
Because high-retention products have predictable replenishment cycles, you can time inbound shipments to arrive precisely as customer cohorts reorder, maintaining maximum inventory turnover.
Frequently Asked Questions (FAQs)
Is Amazon Brand Analytics free for sellers?
Yes, Amazon Brand Analytics is 100% free for all sellers with an active brand enrolled in Amazon Brand Registry.
How far back does Repeat Purchase data go?
Brand Analytics allows sellers to view historical repeat purchase data going back up to 2 years using quarterly and yearly reporting views.
Affiliate Disclosure: Some of the links in this post are affiliate links, which means I may earn a small commission if you make a purchase through those links. This comes at no extra cost to you. Thank you for your support!
Affiliate Disclosure: Some of the links in this post are affiliate links, which means I may earn a small commission if you make a purchase through those links. This comes at no extra cost to you. Thank you for your support!
Affiliate Disclosure: Some of the links in this post are affiliate links, which means I may earn a small commission if you make a purchase through those links. This comes at no extra cost to you. Thank you for your support!
Affiliate Disclosure: Some of the links in this post are affiliate links, which means I may earn a small commission if you make a purchase through those links. This comes at no extra cost to you. Thank you for your support!
Affiliate Disclosure: Some of the links in this post are affiliate links, which means I may earn a small commission if you make a purchase through those links. This comes at no extra cost to you. Thank you for your support!
Affiliate Disclosure: Some of the links in this post are affiliate links, which means I may earn a small commission if you make a purchase through those links. This comes at no extra cost to you. Thank you for your support!
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