Understanding Amazon's Repeat Purchase Behavior Report for Brand Owners
Amazon's Repeat Purchase Behavior report (Brand Analytics) lets brand‑registered sellers view repeat‑ordered sales, units and customer counts for up to 36 months. Users can query up to 100 ASINs at once, toggle between brand and ASIN view, and export the data as a CSV. Example: a Jan 1 2023‑Dec 31 2023 range shows 2,400 repeat buyers for a coffee blend versus 850 for a rival.
Overview
Amazon’s Repeat Purchase Behavior report, part of Brand Analytics, lets brand‑registered sellers see how often shoppers return to buy the same brand or individual ASIN again. The tool is accessible through Seller Central and is essential for anyone who wants to gauge customer loyalty and shape retention‑focused strategies.
Key Points
- Brand Registry prerequisite — Only users listed as internal brand representatives in Amazon Brand Registry can open the report; external sellers or agencies without that role are blocked.
- Three core metrics — The dashboard shows (1) repeat‑ordered product sales, (2) repeat‑ordered units, and (3) the count of repeat customers for any chosen date range.
- Three‑year data window — Amazon stores up to 36 months of history, allowing analysis of multi‑year trends, holiday spikes, and product life‑cycle changes.
- Definition of repeat purchase — A repeat is any order placed after the first purchase of the same brand or ASIN within the selected period; the initial order is excluded from the count.
- Bulk ASIN lookup — Users may enter up to 100 ASINs at once, separated by commas or spaces, to pull a consolidated view of many products in a single query.
- Export capability — The report can be downloaded as a CSV file, enabling sellers to merge the data with external analytics tools for deeper modeling.
How the Report Works
- Select time frame — Choose a start and end date; for example, setting the range to 01 Jan 2023 through 31 Dec 2023 shows all repeat activity during that calendar year.
- Choose view level — Toggle between “Brand” to see aggregate repeat metrics across every ASIN, or “ASIN” to drill down to individual product performance; a seller might view the brand level to assess overall loyalty, then switch to ASIN level for a low‑performing SKU.
- Interpret sales vs. units — The tool separates repeat‑ordered product sales (number of orders containing the product) from repeat‑ordered units (total quantity shipped); a single repeat order that includes three bottles of the same supplement counts as one repeat sale but three repeat units.
Analysis & Recommendations
Why This Matters
The report enables sellers to pinpoint high‑loyalty SKUs—e.g., a hair serum with a 38% repeat rate—and shift Sponsored Brands spend to capture similar buyers. It also reveals low‑loyalty items (7% repeat) for listing tweaks, and quantifies campaign lifts such as a rise from 12% to 22% repeat customers after a Subscribe & Save test.
Key Takeaways
- The dashboard provides three metrics: repeat‑ordered product sales, repeat‑ordered units, and repeat‑customer count.
- Amazon retains up to 36 months (three years) of repeat purchase history for trend analysis.
- Bulk lookup supports up to 100 ASINs per query, allowing consolidated brand‑level insights.
- Data can be exported as a CSV for integration with external analytics or advertising models.
Recommended Actions
- →In Seller Central, navigate to Brand Analytics > Repeat Purchase Behavior, select the desired date range (e.g., 01 Jan 2023‑31 Dec 2023) and view b...
- →Enter up to 100 ASINs, run the report, and click Export to download the CSV.
- →Import the CSV into your analytics tool, identify top repeat‑buyer ASINs, and adjust Sponsored Brands budgets or listing content accordingly.
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