Amazon’s recent active users, how to filter out existing customer data to identify people who are more worthy of following up?

DoWhen developing Amazon-related customers, many people will pay attention to recent active users, because compared to those who left their contact information a few years ago but have not interacted with them, customers who have recently made inquiries, orders, after-sales, and left money after browsing products are usually more worthy of priority follow-up.

But here is a problem that needs to be clarified first: it is not possible to directly determine whether a person has been there recently based on his or her mobile phone numberWhen shopping on Amazon, you cannot directly regard the number detection results as Amazon activity. A more practical approach is to first sort out the Amazon-related customer data that the company has accumulated, and then filter out those who have made recent moves based on the latest order, inquiry, after-sales, registration or customer service interaction time.

Amazon has been active recently. Let’s first focus on what has happened recently.

If the enterprise already has it in its own business systemAmazon related customer records, you can start with time.

For example, customers who have just completed an order recently indicate that they have direct contact with the business; people who have just inquired about products, after-sales or logistics issues are also users who have made clear actions in the near future; people who have just submitted product forms or entered independent websites for price inquiries can be placed at a higher priority.

In contrast, there is no need to put historical customers in the same batch as new customers who left a number two or three years ago and never interacted with them again.

Therefore, when screening Amazon’s recent active users, you can first ask three questions:

When was the last business record?

Is what happened recently an order, consultation or after-sales service?

Does the customer still have a reason to continue following up?

These three questions are more direct than simply looking at your mobile phone number.

Separate customers by time first, sales will be much easier

one pieceIf several years of data are mixed in the Amazon customer table, it will be difficult for sales to determine who to contact first.

It can be briefly divided into several categories.

closeIf there are orders, inquiries or after-sales records within 7 days, priority will be given.

closeIf there are business actions within 30 days but have not been continued, they will be placed in the second batch.

closeIf you have had inquiries or historical orders in the past 3 months, you can continue to follow up.

Old customers who have not had any interaction for a long time are placed separately in the historical customer database.

This method of classification does not require complicated models, and sales can understand it at a glance.

If the transaction cycle is relatively long,For B2B business, the time range can also be broadened to 90 days or half a year. The point is not to use it for a certain number of days, but to separate new customers from silent customers according to your own business cycle.

Order users and consultation users cannot be placed in the same category

They all have actions in the near future, and the customer stages are also different.

For customers who have just completed an order, it is suitable for after-sales, re-purchase or related product recommendations.

People who have just inquired about prices but have not yet placed an order are more suitable to continue solving product, logistics, price and other issues.

People who have only submitted simple forms may need to confirm their requirements first.

After-sales users should give priority to solving current problems, and it is not suitable to continue to promote new products.

soAmazon customer activity cannot be judged solely by time, but also by what has happened recently.

One recentThe record of complaints about after-sales service just 3 days ago is indeed very new, but the most important thing at this time is to deal with after-sales service, not sales development.

The customer status and time should be viewed together.

It is more reasonable to put the number sorting after the customer behavior

When many people do Amazon number testing, they will run through all the numbers first and then think about how to use them.

In fact, for recently active users, the reverse can be true.

First, from the company's own order, inquiry, customer service and after-sales records, select the people who have recently done business, and then sort out the contact information of these people.

The amount of data processed in this way is smaller and the use value is higher.

For example, the historical customer database hasThere are 100,000 numbers, but only 15,000 actually have orders, inquiries and after-sales records in the last 90 days, so there is no need for sales to process all 100,000 numbers first.

First15,000 recent relevant customers have been organized to better meet actual customer acquisition and maintenance needs.

Digital Planet is more suitable for solving the contact layer

When an enterprise has screened out a group of people with recent business activities,After being associated with Amazon customers, you can continue to sort out the number status.

First unify the international number format and eliminate duplicate data, and then use Digital Planet to filter numbers and social platforms based on subsequent communication methods.

For example, sales preparation throughWhatsApp will continue to follow up. You can first filter which numbers have already opened WhatsApp; some customers are more suitable for Telegram, and you can also continue to filter related to Telegram.

Finally, customer groups like this can be formed:

United States + RecentAmazon order + WhatsApp has been activated

France＋Recent product consultation＋WhatsApp has been activated

Germany＋Recent after-sales customers＋Telegram related users

Japan + historical customers re-inquiry + target communication channel confirmed

Digital Planet is responsible for sorting out numbers and screening communication channels here, and is not responsible for determining whether customers have been online recently.Amazon shopping. The recent activity level should come from the orders, consultations, after-sales and customer interaction records held by the company itself.

WhichAmazon customers deserve priority follow-up

If the sales time is limited, you can first check if there is any clear demand recently.

The first category is people who have just made inquiries and actively inquire about prices, logistics or product specifications.

The second category is those who have recently completed orders and the products are suitable for repeat purchases or additional purchases.

The third category is customers with recent after-sales records, but the problem has been solved and the relationship can continue to be maintained.

The fourth category is people who have had orders or inquiries before, but have made no new moves recently.

Finally, there are historical numbers that have no business records for a long time.

After this arrangement, sales efforts will not be evenly distributed.

Those who really need it will be dealt with first, historical customers will be maintained slowly, and silent data will reduce frequent contact.

If you have an order recently, it does not necessarily mean that you are suitable for marketing immediately.

Active customers also depend on the scenario.

A user has just purchased a product and does not necessarily need to buy it again immediately.

If the product itself has a long repurchase cycle, repeated promotion after the transaction is completed will easily offend customers.

A more reasonable approach is to arrange according to the product cycle.

For consumables, you can pay attention to the replenishment time.

For durable goods, we can focus on after-sales and usage guidance.

For software or service products, you can pay attention to renewal, upgrade and usage.

The fact that a customer has recently taken action only means that they are still in contact with the company, but it does not mean that everyone should receive new marketing content immediately.

Don’t just look at one label when filtering Amazon’s active users

For a truly useful customer list, it is best to retain several pieces of information at the same time:

nation

Last business time

Last business type

Purchase or inquire about products

Phone number

communication channels

Current sales status

In this way, when the salesperson sees a piece of data, there is no need to read the history again.

For example, an American customer recentlyIf there is an order within 15 days, product A has been purchased, WhatsApp has been activated, and there are currently no after-sales problems, then repurchase and maintenance can be arranged according to the product cycle.

Another French customer just consulted yesterdayFor the price of product B, if you haven’t placed an order yet, you should prioritize sales and continue to follow up.

Both of these are recently active, but they are handled in completely different ways.

There is no need to delete all customers who have been silent for a long time.

The historical customer database also has retention value.

Some people have not purchased for several months, and it may just be that the purchasing cycle is relatively long; some people have not interacted with each other for a year, and demand may arise again later.

Therefore, data that has been inactive for a long time can be lowered in priority and does not need to be deleted entirely.

If the customer re-inquiries, generates a new order, or submits the form again, it will re-enter the recently active list.

If the customer makes it clear that they no longer wish to receive information, they should promptly stop contact and update their records.

This way the client library will always remain available, rather than having to be reorganized from scratch each time.

Amazon’s recent active users are best found from business records

Looking for something truly worth following up on?The easiest way to find Amazon's recent active users is not to guess whether a number has made purchases recently, but to first look at the data the company already has.

Recent orders, recent inquiries, after-sales records, customer service communications, and resubmitting forms are all more valuable than simple number status.

First, recent customers are singled out based on these behaviors, then numbers, deduplication and communication channels are organized through Digital Planet, and finally sales are prioritized according to orders, inquiries and customer stages.

Amazon's recent activity is based on whether there have been any real business actions recently, and number filtering is about whether you can contact them more smoothly later. If you separate these two things, your customer list will be more useful.

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