How to establish a complete screening and detection process before using WhatsApp batch
Once the batch data entersThe WhatsApp system will directly affect the subsequent sending success rate, reply rate and customer service efficiency. Many teams tend to overlook a key point in this process: whether the data has been processed systematically before use.
If the data is imported directly without filtering, the problem usually will not appear immediately, but as the volume of sending increases, it will gradually manifest itself as unstable reach, fluctuating responses, and difficulty in improving conversions. Instead of constantly adjusting on the back end, it is better to fix the screening and detection process on the front end.
Before using batch data, unify the infrastructure first
Before any screening process can begin, the data itself needs to be sorted, otherwise subsequent detection will be affected.
There are three main things to do at this stage:
l Unify the number format, such as converting all numbers to international area code format
l Remove obviously erroneous data, such as abnormal length or incorrect characters
l Deduplication processing to prevent the same number from being used repeatedly
The function of this step is to make the data have"Detectable" basic conditions, rather than directly screening for quality.
The activation status is a condition that must be filtered at the first level.
existIn the WhatsApp scenario, the most basic judgment is: whether the number is activated.
The characteristics of unactivated numbers are very straightforward.- Unable to send or unreachable. If this layer is not filtered out, all subsequent actions will be slowed down.
So there must be a clear step in the process:
Filter out unactivated numbers first → Ensure that subsequent data is “reachable”
What this layer solves is"Can I contact you?"
Availability detection to prevent abnormal data from entering the system
In addition to the activation status, it is also necessary to determine whether the number is in a normal usable state.
In actual data, there will be:
l Empty number
l Exception number segment
l Expired number
l Accounts that cannot be reached normally
If this data is mixed into the system, it will cause two problems: sending resources are wasted, and system data gradually becomes dirty.
Therefore, after enabling detection, another layer of availability judgment needs to be made to filter out these abnormal data.
Activity filtering determines the priority of subsequent contact
When the data has been confirmedAfter "available", the next step is to judge "whether it is worth using first".
Activity is the most direct reference indicator and can be simply divided into:
l 3 days active: suitable for instant communication and rapid conversion
l 7 days active: suitable for continuous contact and content cultivation
l Long-term inactivity: Not recommended for priority use
The role of this layer is to allocate resources for subsequent marketing, rather than simply filtering out users.
Data is layered before being imported into the system, making it easier to manage.
Many teams will import all filtered data into the system at once, but a more efficient way is to import it in layers based on quality.
Can be broken down into three categories:
high quality data
Available+ Active, prioritized for private chat or focused marketing
medium data
Available but moderately active, used for continued cultivation
low quality data
Availability or activity is low and does not enter the main contact process
This allows the system to have structure from the start rather than having to sort it out later.
Adding screening tools to the process can reduce manual judgment
When the amount of data is large, manual filtering is not only inefficient but also error-prone. A more practical approach is to tool the screening process.
In actual operations, before data is imported, Digital Planet can be used to perform screen number detection to complete activation, availability and basic quality screening, and then the processed data can be entered into subsequent systems. Digital Planet supports free trial screening test.
This can standardize steps that originally need to be completed manually and make the process more stable.
After the process is fixed, the efficiency improvement will be more obvious.
When the screening and testing process is fixed, the team will experience several obvious changes:
l The sending success rate is more stable
l Customer service only faces available users
l Response rate is easier to increase
l Data structure is clearer
These improvements do not come from increased investment, but from reducing invalid data.
Common misunderstanding: test once and then use it for a long time
An easily overlooked issue is that data status changes over time.
Even if a batch of data is available at the time of import, it may occur after a while:
l User no longer uses
l Number status changes
l Decreased activity
So the screening process should not be a one-time thing but should be cyclical.
The core of the complete process is sequence rather than complexity
To sum up, a practical process can be:
Data sorting → Activation detection → Availability screening → Activity judgment → Hierarchical import
Each step has a clear role and does not require complex models to ensure data quality.
When the order is correct,Many problems with WhatsApp marketing will naturally be reduced, and the backend will be easier to handle.
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