From data to conversion: Amazon user hierarchical screening strategy

Amazon sellers’ marketing resources are limited, but users’ data is unlimited. At a time when traffic dividends have peaked and users’ attention is distracted, relying solely on ad stacking can no longer bring about ideal returns. To improve efficiency, truly achieve"Accurate delivery and effective conversion" must be established on the data sideUser hierarchical filtering mechanism.

User stratification is not as superficial as simply labeling the list, but a set of systematic strategies and methods that run through the entire process from user identification, behavioral judgment, hierarchical screening to group delivery. This article will start from the strategic level and execution dimension, combiningdigital planetAbility to analyze in detail how Amazon sellers build their own user hierarchical screening system to realize the true monetization of data.

 

Why do Amazon sellers have to do user stratification?

Many sellers may encounter this situation:

lWhen sending group messages, the click-through rate is extremely low;

lAdvertising costs are getting higher and higher.ROI is getting lower and lower;

lWhen building a community, its activity is getting worse and worse;

lCustomer service follows up with dozens of people every day, but only a few transactions are made.

In fact, it’s not that marketing is wrong, it’s that you are using it“The same set of policies” treats “completely different types of users.”

this isLack of user stratificationresult. Users at different levels should use different contact methods, content techniques, rhythm and frequency of delivery.

The essence of tiering is to allow you to use resources on users who are more worthy of investment.

 

How to establish a tiered system for Amazon users?

Not all users are worth operating. Not everyone wants your one-on-one service. The correct approach is to stratify users according to their value and then allocate corresponding marketing resources.

It is generally recommended to divide Amazon users into the following five core tiers:

1.High value active buyers

It has placed multiple orders, has been active recently, and has feedback behavior. It is a key target for repurchase and fission.

2.Potential converted users

There is a record of placing an order or additional purchase, but it is not active for a long time, so there is still a possibility of conversion.

3.silent user

If you have an order history but no interaction at all, you can try to activate it at a low cost.

4.low quality users

Only data is left, no order has been placed or there is false information, it is recommended not to consume resources anymore.

5.risk users

Account bans, complaints, high return rates, etc. need to be blocked or removed.

This type of hierarchical system cannot rely on manual judgment, but relies on multi-dimensional information analysis such as behavioral data, contact information verification results, and activity trajectories.Digital Planet PlatformIt is specially designed for this kind of refined screening.

 

How does Digital Planet automate user hierarchical screening?

As a professional data screening and status identification platform, Digital Planet has served a large number of overseas companies to realize intelligent processing of private domain data and has the following advantages:

Full field import, automatic cleaning

Supports uploading including mobile phone number, email address, country, and orderFor complex fields such as ID and social channel account, the system will automatically identify incorrect formats, duplicate data and incomplete information to complete the first step of cleaning.

Multi-platform status detection

Automatically detect whether the user has registered through the system's built-in social platform interfaceWhatsApp, Telegram, LINE, Kakao, Zalo, etc. and identify whether it is active. Sellers can use this to determine whether contact information is available and whether users are easily accessible.

User behavior recognition model

The system supports setting behavior tags, such as"Active in the past 30 days", "order frequency > 2", "with after-sales messages", etc. are used to determine which value level the user belongs to.

Tag management and hierarchical export

After the filtering is completed, the system will automatically label the user and support hierarchical export, adapting to the following usage scenarios:

lHigh-value buyers: Import customer service system to focus on follow-up

lMedium value users: Import advertising system for targeted reach

lSilent users: low-frequency text messages/mail activation

lUsers at risk of account ban: completely blocked to prevent system punishment

This whole set of layered processes,From import to layering no more than1 hour, completely automated and no manual maintenance required.

 

How to implement the layered results?

Simply completing the screening is not enough, what really matters isHow to use these hierarchical results. The following are strategic suggestions for different user tiers in actual operations:

High value buyer operation

lCreate a dedicated community orVIP service channel;

lAssign dedicated customer service and conduct one-to-one in-depth communication;

lProvide pre-sale, new product priority, exclusive discounts and other benefits;

lInvite them to participate in activities such as brand promotion and photo sharing.

Potential conversion user operations

lpassWhatsApp/LINE targeted promotion reminders;

lSet up automated email or SMS notifications to pull back unpaid purchases;

lBoost their motivation with limited-time promotions or giveaways;

lEstablish"Potential Pool", which regularly detects state changes.

Silent user wake up

lWithout high-frequency interference, it is recommended to use a content-based activation strategy;

lRegularly push brand information, user stories or new content;

lEstablish exclusive content paths for silent users (e.g."Get to Know Us Again" email stream);

lIf there is no response continuously, the rights will be automatically reduced to avoid waste of resources.

Risk user handling

lThe system automatically marks you to avoid adding friends and sending messages;

lIt is recommended to be removed from the operational list;

lSummarize to the risk control team or data department for further analysis;

lIn the case of batch brushing of accounts, evidence should be retained to facilitate reporting to the platform for appeal.

 

Practical case sharing: How to use Digital Planet to establish a complete user screening mechanism?

Take a cross-border seller of beauty products as an example. Its Amazon operations team has been manually organizing user lists in the past. As a result, the data is complex and conversions are low. Then access the Digital Planet platform:

limport240,000 pieces of buyer data;

lclean out173,000 valid contact information;

lfilter out68,000 are registered and active users of social platforms;

lLabel segmentation: high-value users11,000, 25,000 potential users, 23,000 silent users, and 9,000 risk users;

lIn the end, social guidance conversion increased by more than3 times, customer service follow-up efficiency increased by 48%, and advertising ROI increased by 41%.

It can be seen from this case thatData filtering+ User stratification + differentiated operation are the three core pillars of building a healthy private domain operation system..

 

Hierarchical screening is not a technical issue, it is about increasing underlying capabilities

The marketing trend in 2025 is not "who has more traffic", but "who understands users better".

If you are still using a single strategy to target all users, then your resources are being consumed ineffectively; if you have begun to build user tags and hierarchical strategies, then you have entered the true stage of refined growth.

Digital Planet is the tool that helps sellers get through this step. It provides not only technology, but alsoPath design capabilities from data to transformation.

Don’t let data sleep in tables, take action now and build your user hierarchical filtering system so that every contact is meaningful and every communication can be converted.

If you need to access the platform or apply for a demo, please contact Digital Planet customer service, and we will customize a data layering solution that suits your business model.


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:

whatsapp/line, twitter, facebook, Instagram, LinkedIn, Viber, zalo, binance, signal, skype, DISCORD, Amazon, Microsoft, Truemoney, Snapchat, kakao, Wish, GoogleVoice, Botim, MoMo, TikTok, GCash, Fantuan, Airbnb, Cash, VKontakte, Band, Mint, Paytm, VNPay, Moj, DHL, Okx, MasterCard, ICICBank, Bybwait.

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

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