How to do accurate buyer screening on Amazon? From user data analysis to customer resource organization to improve cross-border e-commerce customer acquisition efficiency

Many Amazon sellers have a common confusion.

Product sales are increasingly dependent on advertising, but advertising costs continue to rise; a lot of order data has been accumulated, but it is not known which customers are truly valuable; after a new product is launched, it is difficult to find a more precise promotion direction other than continuing to invest in advertising.

In the past, many sellers had a simple idea. As long as they increased their exposure, they could bring in more orders.

But now Amazon's competitive environment has changed.

Under the same keyword, there are more and more sellers competing, and in the same market, there are more and more brands competing for user attention. It is difficult to maintain stable growth in the long term simply by relying on platform traffic.

Therefore, more and more cross-border sellers are beginning to pay attention to a new direction:Amazon’s precise buyer screening.

The so-called precise buyer screening is not simply to find more buyers, but to find customers from existing user data that are more valuable, more in line with product positioning, and more likely to generate repeat purchases or secondary marketing.

For many sellers, the real problem is not not having customers, but not knowing which customers are worthy of continued business.

Behind Amazon order data, there is a lot of customer value hidden

The data that many sellers pay attention to every day are sales, rankings, ad click-through rates and conversion rates.

These data are of course important.

But from a long-term operating perspective, buyer data is also of high value.

For example, a seller sells outdoor products.

We have accumulated a large number of order customers in the past year.

If you just treat these customers as a purchase record, the value of the data is very limited.

But if you analyze further, you will find that there may be different types of users.

Some customers purchase more frequently.

Some customers purchase higher amounts.

Some customers may continue to pay attention to the same type of products.

There are also some customers who may come from specific countries or regions and have obvious consumption habits.

These users are actually important resources for the company's subsequent marketing.

Many mature sellers have now begun to"Sell a product once" and shift to "manage the customer life cycle".

Because the cost of acquiring a new customer is getting higher and higher, while the cost of maintaining a customer who has already made a purchase is usually lower.

Why many Amazon sellers need to reorganize their buyer data

Many companies will accumulate a large amount of customer information after operating Amazon stores for several years.

Order records.

After-sales consultation.

Brand registered users.

Advertising leads.

Independent site access users.

This data seems to be a lot, but if it has not been organized for a long time, it will be difficult to really use it.

For example, a company that sells electronic products has 50,000 pieces of historical customer data.

If you are planning to launch a new product and promote it directly to all users, two problems are likely to arise.

First, a large number of users are not suitable for new products.

Second, repeated contact will reduce customer experience.

The truly effective way is to screen customers first.

Find people who have purchased related products.

Find your target market users.

Find people who are more likely to make second purchases.

Then develop different marketing strategies for different customers.

This is why more and more companies are beginning to pay attention to Amazon buyer data screening.

Because future competition will not only be product competition, but also competition in customer resource management capabilities.

The core of accurate buyer screening is not that more data is better

Many sellers fall into a misunderstanding when collecting customer data.

It is believed that the greater the amount of data, the greater the marketing opportunities.

In fact, the more low-quality data there is, the higher the subsequent operating costs will be.

For example, 10,000 customer records.

These may include:

repeat customers;

Invalid contact information;

The user cannot be contacted for a long time;

Non-target market users;

Users with low relevance to the product.

If the sales team uses this data directly, it will not only reduce efficiency, but may also affect the brand image.

Truly valuable data needs to meet several basic conditions.

First of all, customer information must be true and valid.

Secondly, customers belong to the target market.

Finally, customers have further communication and marketing value.

Therefore, many cross-border companies now do data screening first, instead of directly promoting after getting the list.

fromAmazon buyers need to increase the data collection process to reach precise customers.

In the past, the process used by many sellers was:

Product on shelves.

Place ads.

Get the order.

Keep looking for new traffic.

Now more and more brands are starting to add a step:

Organize user data.

Because one purchase doesn’t mark the end of customer value.

A user who has purchased a product may purchase accessories, upgrade the product, or recommend it to others in the future.

The key is whether the company has found these users.

For example, an Amazon seller is preparing to promote a new product.

He has extensive historical buyer data.

If you market them all directly, it is difficult to judge which users are most suitable.

But if you complete user screening first, you can create different customer groups.

Maintenance is focused on high-consuming users.

Users of related products are given priority.

Users in different countries adopt different marketing methods.

The entire promotion process will be more precise.

How Digital Planet helps Amazon sellers organize accurate buyer resources

For many cross-border sellers, the biggest problem is not that there is no data, but that the data is too scattered.

There are customer records in the order system.

There is promotion data in the advertising backend.

There are registered users in the independent site.

Data from different channels have been managed separately for a long time, making it difficult to form unified customer resources.

Therefore, many companies now usedigital planetOrganize number data.

For example, if a seller has accumulated a batch of contact information for overseas buyers, he or she can first conduct number detection through Digital Planet, filter out valid numbers, and filter out duplicate or unusable data.

If the company needs to carry out subsequentWhatsApp customer maintenance can also further identify which buyers have opened WhatsApp and organize these users into independent marketing lists.

For sellers in different markets, customers can also be classified according to country and region, and users from different markets such as European and American buyers, Southeast Asian buyers, and Japanese buyers can be organized separately to facilitate the subsequent development of different promotion plans.

In this process, Digital Planet is more like a tool to help companies complete the sorting and screening of buyer data.

It does not replace Amazon's operations, but improves data utilization efficiency based on the seller's existing customer resources.

In the past, companies were faced with a confusing customer list.

After screening, the sales and marketing teams face clearer and easier-to-reach target users.

Amazon’s future competition is not just about product ranking competition

Now more and more sellers are beginning to realize a change.

In the past, when doing Amazon well, the focus was on researching keywords, advertising and rankings.

To do a good job in cross-border e-commerce in the future, we also need to pay attention to customer assets.

Whoever manages buyer data better has more opportunities for long-term growth.

Because an order is just the beginning of a transaction.

What is truly valuable is subsequent repurchases, membership operations, brand accumulation and customer relationship maintenance.

If companies continue to rely on platform traffic, they will continue to face higher and higher customer acquisition costs.

Only by having your own customer data system can you reduce your reliance on a single channel.

for ongoingAmazon’s precise buyer screening,Amazon customer development, cross-border e-commerce customer acquisition, overseas customer data collection, buyer number detectionFor enterprises, you can usedigital planetComplete preliminary data screening.

First check the customer number status, sort out the effective buyer resources, and then combineFollow-up contacts are carried out through WhatsApp marketing, email operations, social channel promotion and other methods, so that the data accumulated by Amazon can truly be transformed into long-term customer assets.

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