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existIn WhatsApp marketing and customer operations, the quality of the list directly determines the effectiveness of the delivery. And on most lists, there will always be a group ofInactive Account——Although these accounts have registered WhatsApp, their login frequency is extremely low and there is almost no interaction. If it cannot be identified and processed in time, it will not only affect the marketing effect, but also waste the cost of sending.
In actual business, rapid detection of inactiveWhatsApp accounts have become one of the daily tasks of the operation team. Next, we comprehensively analyze how to complete this task professionally and efficiently from definition, identification dimensions, detection methods to tool selection.
What is inactiveWhatsApp account?
Inactive accounts usually have the following characteristics:
lNot online for a long time: For example, more thanThere is no login record for 90 days or even 180 days.
lLack of interactive behavior: Few or almost no send/Receive message record.
lThe data has not been updated for a long time: Avatar, status, and profile will remain default or blank for a long time.
lVery low frequency after registration: It may only be used briefly in the early stage of registration, and then it is almost in a stagnant state.
These accounts are different from completely invalid"Zombies", they are still technically effective, but they contribute very little to marketing.
Why do you need to check inactive accounts?
Many companies ignore the impact of inactive accounts when doing mass marketing, resulting in the following problems:
lReduce conversion rate: After the information is reached, inactive accounts often do not view or reply.
lIncrease sending cost: Each mass sender includes these low-value users, causing waste of funds.
lInterfere with user analysis: Incorporating a large number of non-interactive accounts into data analysis will lead to judgment deviations.
Therefore, regular testing and eliminating non-active accounts is a key step to maintaining the health of the list.
Detect the core dimensions of inactive accounts
To accurately identify inactive accounts, comprehensive judgments are required from multiple dimensions, rather than a single standard.
1. Recent online time
This is the most intuitive reference indicator. Active users will usually be inAccounts that have been online multiple times within 30 days, but have not been online for more than 90 days are likely to be inactive.
2. Message sending and receiving records
Although some accounts have been online, they do not have any interaction and should be included in the low-activity list.
3. Data update frequency
Active users usually change their avatar, status, or profile, while accounts that maintain default information for a long time may lack motivation to use them.
4. Device login information
The online behavior of real-time users is closer to normal use, while the proportion of accounts registered by virtual devices is relatively high.
Quick detection method
Bulk inspections in 2025 no longer rely on manual labor. There are mature automation tools on the market that can quickly identify inactive accounts. Common methods include:
Method 1: Batch status detection
Through the batch detection interface, the online status and recent online time of thousands of numbers can be detected at one time, and it is automatically classified as active, inactive, offline and other tags.
Method 2: Historical behavior analysis
Combined with the sending records of the marketing system, filter accounts with long-term response rates and click-through rates.
Method 3:AI behavior recognition
useThe AI model comprehensively analyzes the online frequency, device attributes, and interaction mode to automatically determine the account activity.
Test tool selection suggestions
When selecting a detection tool, the following points need to be considered:
lAccuracy: The data results must be able to truly reflect the account status, and the misjudgment rate is lower than5%.
lDetection speed: Supports rapid processing of large-scale data and results are produced within a few minutes.
lClear classification: The results are output according to active, inactive, invalid and other categories, which facilitates subsequent processing.
lExport capability:supportExported in formats such as CSV, Excel, etc., convenient for connecting with the marketing system.
Application of test results
After detecting an inactive account, it is not recommended to delete it directly, but to process it in a layered manner according to business needs:
lCompletely eliminated: For long-term interaction and potential value accounts.
lLow frequency reach: Reduce delivery frequency and reduce costs.
lWake up marketing: Try to activate some users through exclusive activities or offers.
Actual cases
A cross-borderB2B companies detected 28% of inactive accounts on their customer list, and after cleaning up, the cost of mass sending dropped by 35%, and the overall response rate increased by 60%. In subsequent operations, they also conducted "exclusive discount wake-up activities" for low-active customers, successfully activated 12% of them and realized data reuse.
Professional inspection services for digital planet
If you want to complete large-scale testing quickly,Digital PlanetThe batch detection function provided can import hundreds of thousands of numbers at once, generate complete categories such as active, inactive, invalid, etc. within a few minutes, and support globallyWhatsApp data detection.
More importantly, new users can receive exclusive gold coins benefits by registering, and you can also enjoy additional gifts by recharging, helping you optimize your account health at low cost and making subsequent marketing more accurate.
Digital Planet It is a world-leading number screening platform that combinesGlobal mobile phone number segment selection, number generation, deduplication, comparison and other functions . It supports global customers Bulk numbers from 236 countries Filtering and testing services , currently supported More than 40 social and apps, such as:
The platform has several features, includingOpen filtering, active filtering, interactive filtering, gender filtering, avatar filtering, age filtering, online filtering, accurate filtering, duration filtering, power-on filtering, empty number filtering, mobile device filtering wait.
Platform providesSelf-sieve mode, sieve mode, fine-sieve mode and custom mode , to meet the needs of different users.
Its advantage lies in the integration of major social and applications around the world, providing one-stop, real-time and efficient number screening services to help you achieve global digital development.
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