How to obtain the contact information of e-commerce users and then conduct screening and

In the process of acquiring customers for cross-border e-commerce, many teams will face a core problem: where does the data come from, and how to use the data after obtaining it. In fact, these two problems are connected. If you only focus on acquisition and ignore subsequent screening, it will be difficult to truly realize the value of the data.

The truly effective way is to"Obtain contact information" and "screening and testing" should be viewed as a whole process, rather than two independent actions.

What are the main types of contact information for e-commerce users?

In e-commerce scenarios, common user contact information mainly includes mobile phone numbers, email addresses, and some social account information.

Among them, mobile phone number is more suitable forFor WhatsApp or Telegram, email is more suitable for long-term communication, while social accounts are more suitable for interactive scenarios. Different types of data are applicable in different ways, so the subsequent use needs to be clarified during the acquisition stage.

If the goal is to achieve immediate contact, then a mobile phone number is usually the first choice.

Why must we obtain first and then filter?

The prerequisite for screening is data, but obtaining it is only the first step.

A lot of raw data will contain duplicate numbers, incorrect formats, unregistered users, and low-activity accounts. If not screened, these problems will directly enter the subsequent process and affect the overall effect.

Therefore, acquisition must be followed by filtering, which is the basic logic of data processing.

Differences in user data quality across platforms

The data quality of different e-commerce platforms varies greatly.

Some platforms have high user activity and more authentic contact information; while other platforms may have more low-quality data. Without unified screening, it is difficult to determine which data is truly valuable.

Therefore, the significance of screening is to establish unified standards so that data from different sources can be reasonably evaluated.

What does screening testing usually include?

The complete data screening process usually includes several key steps.

The first is basic cleaning, such as deduplication and format verification; the second is activation detection, which is used to determine whether the number is registered.WhatsApp or Telegram; the second is active filtering, which is used to identify whether the user has usage behavior; finally, it can be combined with operator identification to further filter out abnormal numbers.

Only when these links are combined can a complete data cleaning system be formed.

How to turn raw data into reachable customers

From raw data to available customers, the main gap lies in screening.

Through detection, unreachable numbers can be filtered out, low-active accounts can be removed, and only users with real communication possibilities can be retained. Only after this processing can the data have actual operational value.

In actual operation, number detection andWhatsApp screening numbers and active user screening support batch processing, converting e-commerce user contact information into accessible data.

Types of teams suitable for batch screening

When the amount of data reaches a certain scale, batch screening is almost an inevitable choice.

For example, cross-border e-commerce teams, private domain operations teams, and multi-channel marketing teams all need to process a large amount of user data. If you rely on manual processing, it will not only be inefficient, but also error-prone.

Through automated filtering, data processing can be made more stable.

Key changes from data acquisition to data availability

Many teams stay inThe “get the data” phase, but the real value lies in “making the data available.”

Only after the contact information has been screened and has real reach capabilities, can subsequent marketing and conversions have a foundation. This kind ofThe transformation from “quantity” to “quality” is the most critical step in acquiring cross-border customers.

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The platform has several features including Open 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 filtering wait.

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