How do Amazon sellers determine the value of user contact information? Buyer number screening has become a new requirement

a lot ofAmazon sellers all have this experience:

After product sales have been stable for a period of time, I want to further expand overseas markets, but find that new growth is becoming more and more difficult.

The cost of on-site advertising continues to increase, and there are more and more competitors. It is difficult to establish a long-term advantage by relying solely on platform traffic.

As a result, more and more sellers are trying to develop off-site customers, hoping to turn a transaction into a long-term customer relationship through social channels, user operations, etc.

But in the process, a problem gradually emerged:

Is the obtained user contact information really valuable?

This is why buyer number screening has gradually become a new requirement that cross-border sellers pay attention to.

Customer acquisition outside Amazon is becoming an important direction for brand growth

In the past, manyThe main goal of Amazon sellers is to increase product ranking and order quantity.

But as cross-border e-commerce enters a mature stage, more and more brands are beginning to realize that the real value is not just a single order, but the long-term value behind the user.

For example:

A consumer purchases a product once. If the company can continue to understand his needs and reach them in new product promotion, brand activities or repurchase marketing, then the value brought by this user may far exceed the first purchase.

Therefore, more and more sellers are trying to establish their own customer resource system.

But the problem is that off-site user development is not as natural and accurate as platform traffic, and companies need to proactively determine which users are more worthy of investment.

Why the quality of buyer contact information affects conversion results

When many companies acquire overseas user resources, they tend to focus on one number:

How many contacts you have.

But when you actually enter the marketing process, you will find that quantity does not directly represent effectiveness.

For example:

A store that sells outdoor equipmentAmazon sellers have collected a large number of overseas user contact information.

These may include:

Numbers that have been discontinued;

Users who have nothing to do with product needs;

recurring contacts;

Accounts that have not been interacted with for a long time.

If the sales team spends a lot of time following up with these users, it will not only reduce efficiency, but also affect the overall customer development rhythm.

Therefore, what companies really need to focus on is:

Whether these users actually exist;

Whether it is from the target market;

Whether it has further communication value.

From the number of numbers to user value, the thinking of cross-border sellers is changing

In the past, when many companies engaged in customer development, they preferred"Wide coverage".

More data means more opportunities.

But now the market environment is different.

Overseas users are becoming more and more dispersed, and consumer demands are becoming more and more refined.

An American consumer and a Southeast Asian consumer may focus on completely different product features;

The value of an ordinary browsing user and a user who has paid attention to a certain type of product for a long time is completely different.

Therefore, cross-border sellers began to"How much data do you have" turns to "how many users do you know".

The core of number screening is not to reduce the number of customers, but to help companies find people who are more in line with their business direction.

Data analysis is helping sellers more accurately identify overseas buyers

In the past, companies relied more on sales experience to judge customer value.

A salesperson may pass:

country region;

Chat feedback;

purchase history;

User needs;

Determine whether it is worth following up.

But when an enterprise faces multiple national markets and a large number of customer resources, it is difficult to maintain efficiency through manual methods.

Now, more and more companies are beginning to combine data analysis capabilities to classify customer resources.

For example:

Targeting the US market, focus on local user characteristics;

For the European market, adjust the direction of customer screening;

Target different products and match different consumer groups.

This approach can help companies reduce ineffective communication and spend more time on customers with real potential.

How Digital Planet integrates into the customer screening process of cross-border sellers

In the actual overseas market development process, many companies do not lack data, but do not know how to find customers that better match them from a large amount of data.

A cross-border brand that produces consumer electronics products may need to focus on European and American consumers;

A seller of apparel products may pay more attention to the consumption habits of users in different regions;

A company that provides overseas services may need to find target users in specific markets.

digital planet globalThe 244-country social AI number screening platform is aimed at this kind of global customer screening scenario and uses social AI data analysis capabilities to sort and screen number resources from different countries and regions.

Enterprises can divide user resources in more detail according to their own market direction, instead of facing a batch of undifferentiated data.

This method is more suitable for companies that need to develop overseas markets for a long time, because customer resources are no longer just contact information, but gradually become the company's own market assets.

How Amazon sellers can build a more effective customer screening system

A truly mature customer development process does not mean immediate promotion after obtaining data, but requires several stages.

First, the target market needs to be clearly defined.

Sellers should determine which countries and user groups to focus on based on product positioning.

Secondly, customer resources need to be optimized.

The quality of data varies from different sources and requires continuous screening and adjustment.

Finally, customer portraits need to be continuously improved based on operational feedback.

Which users are more likely to interact and which markets have better conversion effects? These experiences will in turn improve the efficiency of subsequent customer acquisition.

In future cross-border competition, who knows the buyers better?

The future competition on the Amazon platform will not only be a product competition, but also a competition in users’ ability to understand.

In the past, sellers competed on:

Who has a better product?

Who has the lower price?

Who has more advertising budget.

In the future, there will be more competition between enterprises:

Who knows consumers better;

Who can find the target users more accurately;

Who can build long-term customer relationships.

Buyer number screening has become a new trend, which essentially reflects that the cross-border industry is moving from traffic operations to user operations.

For those who want to continue to expand overseas marketsFor Amazon sellers, improving the quality of customer data will be an important step in improving customer acquisition efficiency.

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