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As cross-border e-commerce competition becomes increasingly fierce, acquiring customers is no longer the biggest issue.Screening and transformationIt is the key to determining profits. Especially on platforms such as Amazon, sellers often accumulate a large amount of buyer information, browsing records or interaction clues. However, due to the lack of systematic analysis and screening capabilities, most of the data cannot be converted into actual income.
This article will focus onThe core requirements of "Amazon user precise screening", combined with practical experience, dismantle the complete path from data acquisition, user identification, behavior modeling to hierarchical reach, and introduce how to usedigital planetplatform, implementationEfficient, controllable, and replicable user screening closed loop, helping sellers inBuild a true growth engine by 2025.
Why is it necessary to do precise screening of Amazon users?
In actual operations, many Amazon sellers will accumulate the following types of data:
lCustomer message information on Amazon site
lOrder recipients or inquiry list
lTracking data exported by third-party plug-ins
lCollected from marketing activitiesWhatsApp or email list
However, these raw data are directly put into the subsequent marketing process without cleaning and screening, and there are several obvious problems:
1.Severe data redundancy makes it impossible to determine real users
2.A large amount of information is repeated and invalid, resulting in a waste of resources
3.Lack of hierarchical basis makes it difficult to formulate differentiated marketing strategies
4.Risk-free prediction mechanism, easy to trigger platform risk control
The purpose of precise screening is to find out from a bunch of fuzzy data:Who are your potential customers, who are worth pursuing, and who should be discarded.
What kind of Amazon user is"High value"?
Whether an account has placed an order on Amazon does not mean that it has the intention to purchase again. Truly valuable users usually have the following behavioral characteristics:
lrecentPurchase or browsing behavior within 30 days
lBe proactive in customer service responses
lBehavior of following brands or joining off-site communities
lLeave multiple incoming messages, comments or feedback
lUse real contact information (such as regular email,WhatsApp, Telegram, etc.)
These users are not"Static information", but clue objects with obvious active tendencies and brand preferences. The significance of screening also lies in:Identify these people in huge amounts of data, and classify them.
How does the Digital Planet platform efficiently support Amazon user screening?
In traditional ways, sellers may manuallyPreliminary classification is carried out through Excel table screening, keyword filtering, customer service follow-up feedback and other methods. However, these methods are inefficient, have high error rates, and are difficult to replicate on a large scale.
Digital Planet Platformthen through a complete set ofThe technical path of "behavior recognition + activity analysis + multi-platform comparison" realizes a user screening system that is truly adapted to cross-border sellers and has the following core capabilities:
1. Data cleaning and deduplication
Supports importing raw data containing mixed fields such as mobile phone number, email, username, address, etc. The system automatically identifies the format, removes duplications, and builds a clean database.
2. Multi-platform account identification
Automatically identify whether the user is presentRegister on WhatsApp, Telegram, LINE, Kakao and other platforms. Sellers can establish multi-channel contact methods through these platforms to improve the success rate of contact.
3. Activity recognition system
Through Digital Planet’s behavioral modeling capabilities, it can be identified whether users are"Activity status", such as whether you are online that day and whether you have interacted with others.
4. Grouping and label management
According to the conditions customized by the seller (order time, purchase frequency, off-site behavior, etc.), the system can automatically group users with one click for differentiated delivery and message customization.
5. High-risk risk filtering
Identify fake accounts, virtual accounts, and contact information that cannot receive messages, and eliminate worthless data in advance to prevent affecting the health of the delivery account.
Complete screening process: from cluttered list to high-converting user pool
Step 1: Import Amazon user raw data
Support uploadList in CSV or Excel format, including mobile phone number, email address, country and region, message content and other fields.
Step 2: Activate the user identification and status detection module
Start the detection task, and the system will automatically execute it in the background to identify the status of each piece of data, such as"WhatsApp is registered + active", "Telegram is not registered", "LINE is registered but has no active behavior", etc.
Step 3: Set filtering logic
Sellers can set filtering conditions based on their own operational purposes, such as:
lWhatsApp registered and active in the last 48 hours
lThe user is from the United States or Taiwan
lThe email address isMainstream service providers such as Gmail and Outlook
lThe phone number does not appear in the risk number database
Step 4: Export the list of high-value users
After the screening is completed, the system supports exporting the tagged user list, which can be directly connected to the advertising delivery system, private domain operation tools orin the CRM system.
Application scenario: How can screening results help marketing implementation?
1. Cold start delivery
In cold-start activities such as new product launches and seasonal promotions, selected high-value users can be used as seed users for the first round of advertising. Data feedback is faster and the early effect is improved.
2. WhatsApp marketing reach
Active through digital planet outputWhatsApp account list, sellers can complete batch sending messages, adding friends and other actions directly within the WhatsApp API system to improve contact efficiency.
3. Social diversion
After filtering out users who have registered on multiple platforms and have interactive behaviors, you can guide them to join through text messages or emails.Telegram or LINE groups to build a long-term private domain pool.
4. Multi-round conversion strategy
Combined with user tags, a hierarchical conversion strategy can be developed. For example:
lfirst time purchase+High activity → Increase repurchase rate
lViewed but not purchased+Social platform registration→ Push coupons
lNo platform registered → Arrange one-to-one conversion with customer service
Frequently Asked Questions and Optimization Suggestions
Q1: The original data is incomplete, can it be tested?
A: Yes. Digital Planet supports the "field matching" function. Even if some data is missing, the detection can be completed based on the mobile phone number or email address.
Q2: Does it support multi-language user identification?
A: Support. The system can automatically identify the national language environment based on the user's contact information and generate multi-language reach templates by region.
Q3: How to control the recognition frequency?
A: It is recommended that new users be tested once a week, and regular monthly tests can be set up for old users to ensure that the labels are updated.
Conclusion: Precise screening is the first step to win conversions
Amazon operations have never been"As long as the quantity is large", it's "find the right person and have a conversation". In the private domain competition in 2025, whoever can accurately screen out highly responsive users will be able to seize the trust portal first.
Amazon user screening solution provided by Digital Planet, not only a tool, but also a set of system capabilities. it helps you hold"Seemingly chaotic data" is transformed into "implementable marketing assets" and continues to help build a closed-loop conversion loop.
Contact customer service now to get screening templates and detection demos, so that your data can start to truly create value.
digital planetis a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions. It supports customers worldwideBatch numbers for 236 countriesScreening and testing services, currently supports40+ social and apps like:
The platform has several features includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, precise filtering, duration filtering, power-on filtering, empty number filtering, mobile phone device filteringwait.
Platform providesSelf-screening mode, generation screening mode, fine screening mode and customized mode, to meet the needs of different users.
Its advantage lies in integrating major social networking and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.
You can find it on the official channelt.me/xingqiuproGet more information and verify the identity of business personnel through the official website. official businesstelegram:@xq966
(Warm reminder: When searching for the official customer service number on Telegram, be sure to look for the username.xq966), you can also verify it through the official website personnel:https://www.xingqiu.pro/check.html, confirm whether the business contact you is a planet official
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