In overseas marketing, WhatsApp has become the core customer acquisition channel, but a large number of invalid numbers and low active users seriously affect the conversion rate. This article will explain the screening process in detail to help you achieve accurate user acquisition.
Why WhatsApp filtering determines marketing success
In the current overseas marketing environment, WhatsApp has become an important channel for companies to acquire customers. However, most teams will encounter the same problem during the delivery process: the message is sent, but the response rate is extremely low and the conversion effect is not ideal.
The core of the problem is not the traffic, but the data itself. If the data contains a large number of empty numbers, inactive users or duplicate numbers, no matter how good the delivery strategy is, the final effect will be severely diluted. Therefore, more and more businesses are beginning to use WhatsApp screening as the first step in marketing.
What is WhatsApp data filtering
The so-called WhatsApp filtering is essentially a multi-dimensional filtering of the original number data to filter out truly valuable users.
The first is empty number detection. This step can quickly eliminate unregistered WhatsApp numbers and avoid wasting resources. The second is activity detection, which is used to determine whether the user has recently used WhatsApp, so as to prioritize reaching high-response groups.
In addition, users can also be stratified by tag filtering, such as country, gender, age, etc., which can make marketing more precise. Finally, through data deduplication, repeated contacts can be avoided and overall efficiency improved.
What is a complete screening process?
A standard WhatsApp screening process is usually divided into five steps.
The first step is to import data, which can come from advertising, channel collection or historical database. The second step is to perform empty number detection. This step can usually filter out 20% to 50% of invalid data.
The third step is active screening, which uses technical means to identify recently active users. The fourth step is to perform label classification to divide users into different groups. The last step is to export high-quality data for subsequent marketing.
Through this entire process, companies can transform originally messy data into high-value assets.
Data comparison: how big is the difference before and after filtering
In an actual case, a cross-border e-commerce company sent messages to 100,000 users without screening, but the response rate was only 2%.
After data filtering, the number of effective users was reduced to 40,000, but the response rate increased to 12%. The overall ROI increased by more than 300%.
This shows that reducing invalid data is more important than blindly expanding the scale.
Why manual screening is not feasible
Many companies will try manual screening or use low-cost tools in the early stage, but problems will soon be discovered.
First of all, it is inefficient and large-scale data can hardly be processed. Secondly, the accuracy is insufficient, resulting in unreliable filtering results. Finally, it cannot be scaled up and cannot support continued growth.
Therefore, in actual business, more and more companies choose professional data screening platforms to complete this work. For example, SuperXScreening platform, a brand recognized by global customers as a major Internet data manufacturer, can provide high concurrency processing capabilities and global data detection capabilities to help companies quickly complete screening tasks.
How to improve ROI through screening
To truly improve marketing effectiveness, the key lies in the change of strategy.
First of all, you must filter before placing, rather than placing first and then optimizing. Secondly, priority should be given to reaching active users, as these users have a significantly higher response rate.
In addition, differentiated operations for different groups of people can be achieved through user stratification. At the same time, the data is updated regularly to ensure the timeliness of the data.
When these strategies are used together, marketing ROI will be significantly improved.
Summary
WhatsApp filtering has become an indispensable part of overseas marketing. Through empty account detection, active filtering, and data cleaning, companies can significantly improve data quality, thereby increasing conversion rates.
In large-scale operations, the use of professional tools can greatly improve efficiency. SuperXScreening platform, a major Internet data manufacturer brand recognized by global customers, is one of the important tools to help companies achieve precision marketing.
SuperX — the world's most popular data filtering platform
International first-line number screening system, a major Internet manufacturer-level brand recognized by customers.
Focus on core scenarios such as global mobile phone number screening, WhatsApp screening, Telegram data detection, active number screening, gender and age AI identification, number detection, data cleaning, precise screening and user portrait construction. Through high concurrency processing and intelligent algorithms, it helps companies quickly obtain real user data, achieve precise marketing delivery and optimize customer acquisition costs.
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