How to filter Walmart US buyer data? Sharing ideas for organizing customer resources

很多企业刚开始做美国市场的时候,总觉得客户资源不好找,可真正积累一段时间之后,又会遇到另一个问题:客户数据越来越多,却不知道怎么整理。

When many companies first start working in the U.S. market, they always feel that it is difficult to find customer resources. But after they have accumulated it for a period of time, they will encounter another problem: there is more and more customer data, but they don’t know how to organize it.

There is a batch of email information.There are a group of WhatsApp contact information, a group of exhibition customers, and a group of website consultation customers. Over time, the same customer may appear several times, and customers from different industries are mixed together, making it more and more troublesome for business personnel to find information.

This is why in recent years,Walmart's U.S. buyer data screening, U.S. buyer data compilation, overseas customer database construction, and customer resource management are attracting more and more attention from companies.

Why do many companies pay attention toWalmart US buyer data

The United States has always been an important global consumer market, andAs a large retail platform, Walmart also gathers a large number of merchants, supply chain companies and related service resources.

For many cross-border e-commerce, foreign trade companies and international trade teams, the U.S. market means more cooperation opportunities, so establishing their own U.S. customer database has become part of long-term operations.

However, the larger the market, the more complex the sources of customer data become.

customers in different regions.

Different purchasing direction customers.

Enterprises of different sizes.

If classification management is not done in advance, the larger the database size, the more difficult it will be to organize.

Therefore, many companies will first screen American buyer data and then gradually establish a customer resource system.

Why can’t customer resources only pursue quantity?

Many companies have this experience.

I just started working in overseas markets and hope to accumulate as many customers as possible.

Over the past year, tens of thousands of pieces of information have been added to the database, and it seems that the resources have become much richer.

But when I actually used it, I discovered that a lot of data was duplicated, a lot of information was incomplete, and some customer information had not been updated for a long time.

In this case, although the database is large, the actual utilization efficiency is not high.

Instead of constantly adding data, more and more companies are now beginning to pay attention to customer data cleaning, customer resource organization, and U.S. buyer data management, hoping to maximize the value of existing resources.

How can Walmart customer data be organized?

Customer management is actually not as complicated as imagined.

The key is to establish uniform rules.

For example, organize by region.

US East customers and US West customers are managed separately.

It can also be organized according to industry.

Create different labels for retail customers, trade customers, and supply chain customers.

If the business scope is relatively broad, you can also add information such as purchasing direction and enterprise size.

The more standardized the classification, the easier it will be to find customers later.

Especially for companies that have been operating in the US market for a long time, establishing a customer label management system will reduce a lot of duplication of work.

Why customer databases need to be continuously updated

Many companies believe that organizing customer information once is enough.

In fact, the customer database changes dynamically.

New customers are constantly being added.

Historical customer information needs to be supplemented.

Data obtained from different channels will also be continuously aggregated.

If not updated for a long time, the database will quickly become cluttered.

Therefore, many mature teams will schedule fixed times to maintain the database.

Sort out duplicate information.

Supplement customer information.

Improve customer tags.

Update business information.

If you persist for a long time, the quality of the database will become higher and higher.

What problems can be solved by establishing customer tags?

Customer tag management has become an important work habit for many enterprises.

For example, you can add region tags to make it easier to find customers in different regions.

Add industry labels to easily distinguish different business directions.

Add cooperation records to facilitate the team's understanding of historical situations.

Increase resource sources to facilitate statistics on customer channels.

These tasks may seem relatively basic, but for companies with a large number of customer resources, they can significantly improve work efficiency.

Business personnel can find customers faster, and market personnel can analyze data more conveniently.

What is the actual value of US buyer data compilation?

After many companies start to organize data, they will find that the changes are more obvious than imagined.

Finding customers faster.

The duplication of information is reduced.

Sharing data between teams is more convenient.

Historical customer management is also more standardized.

For companies that have been doing overseas business for a long time, the customer database is not just a contact information, but an important resource accumulated over a long period of time.

The more standardized the database is, the smoother subsequent business operations will be.

How Digital Planet helps enterprises manage customer resources

When many companies compile data on U.S. buyers, they encounter the problem of scattered sources of customer data.

Therefore, many teams will register for free through Digital Planet to experience the customer resource management platform and unify the data accumulated through different channels.

Digital Planet supports customer tag management, customer information classification and overseas customer database construction, which can help enterprises establish a more standardized data structure so thatWalmart’s U.S. buyer data, U.S. buyer data, and overseas customer resources are managed in a unified manner.

After experience, many teams have found that in the past they had to search through multiple tables to find customer information. Now, through unified classification and label management, they can quickly locate target customers and improve daily work efficiency.

For companies with long-term layout in overseas markets, standard management of existing resources is more meaningful than blindly increasing data.

In the US market, customer management capabilities are also competitive

In the past, many companies liked to compare who had more customer resources.

Now more and more people are paying attention to another issue: whether customer resources are easy to manage.

Because a high-quality database is not just about having a lot of data, but also about complete information, clear classification, timely updates, and easy querying.

EitherWalmart's U.S. buyer data screening, U.S. customer database construction, overseas customer resource sorting, and customer tag management are all essentially about improving data utilization efficiency.

For companies that have been deeply involved in the U.S. market for a long time, insisting on sorting out customer data, establishing standardized databases, and continuously maintaining customer resources will be more stable than temporarily looking for new customers.

Customer resources will continue to accumulate, and what really widens the gap is often not who has more data, but who can manage the data better.


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