Check Amazon Registration
Reach 300M+ active shoppers and connect off-site traffic to on-site sales
Upload up to 1 million numbers per batch. Two-layer checks (carrier validation + Amazon registration) finish a full screening in about 3 minutes.
Capability Track
phone-list.txt
+44 7……2484
+62 8……9017
+55 1……6723
√ One number per line in TXT
Valid filtering accuracy ≥98%
Average speed: 3 min / 1M records
Export TXT/CSV/Excel
Amazon Validity Check
Amazon Number Check
Capabilities
What can GeekNums check on Amazon?
Full coverage from "does it exist" to "audience profile"
Valid Filter
Verify the number is real (invalid / suspended detection) + whether it's registered on Amazon + marketplace identification.
Number status
RegisteredNot registered
Bulk Number Filter
Submit numbers in bulk, then review and filter results in one place to process large volumes efficiently.
AI profile sample
NicknameInterests4 Steps
Bulk-check Amazon in just 4 steps
Use case: find out which numbers are on WhatsApp, how active they are, and their age and gender range.
Generate Numbers
Use the number generator to create numbers for your target region (or upload your own numbers directly).
Upload Numbers
TXT/CSV/Excel supported, up to 1 million records per upload.
Two-layer Validity Check
1. Check the number really exists
2. Check Amazon registration
Export Results
Download the completed file and export every filtered result in bulk.
Q&A
FAQ
We focus on core marketplaces: the US, UK, Germany, Japan, Canada, Mexico, Australia, India and more. Amazon penetration varies widely: the US, UK, Germany and Japan have the highest registration rates and the most complete accuracy (≥98%) and shopping data. In some emerging markets (such as India), Amazon coexists with local e-commerce (Flipkart), and results faithfully reflect Amazon registration so you can adjust your marketplace strategy based on real data.
Results are mainly for off-Amazon traffic and export as CSV with fields including number, marketplace, Prime status, activity tier, gender, age range and category preference tags. They plug directly into Facebook custom audiences, Google Ads, email marketing tools (Klaviyo, Mailchimp) or SMS platforms. On-Amazon programs (such as Vine or Request a Review) must go through Seller Central, but your filtered list of highly active buyers makes a precise target pool for off-site review requests.
Facebook and WhatsApp have huge user bases, but "has a social account" doesn't mean "shops on Amazon". Sending listing links to FB users who never registered on Amazon converts poorly, while sending coupon codes to Amazon users lets them order straight from the app, with the shortest path and highest conversion. GeekNums's Amazon filtering identifies people who are both social users and Amazon buyers. Combine it with Facebook/WhatsApp filtering: first find registered Amazon buyers, then confirm whether they're active on FB/WA for the best mix of precise audience and efficient channel.
