Practical operation of obtaining Japanese Line customer contact information: the complete process of first screening local active users and then importing them into the system
Acquire customers in the Japanese market,Line is an almost unavoidable channel. Many teams are able to get a batch of contact information, but the real question is not "is there data?" but "is the data useful?"
A common situation is: after the system is introduced, the customer service contact efficiency is very low, the response rate is unstable, and subsequent conversions are more difficult to promote. The reason behind this is often not a problem of speaking skills, but rather a failure to screen local active users in the early stage, resulting in a large amount of low-quality data entering the system.
If the process is adjusted to"Screen actives first, then import", the overall efficiency will be significantly improved.
JapanWhat are the common sources of Line customer contact information?
In practice, JapanLine customer contacts often come from multiple channels:
l Form to retain funds (official website, landing page)
l E-commerce customer data (orders, after-sales, membership)
l Registration or reservation information for local events
l The community accumulates users
l Third-party data integration
There is nothing wrong with these sources themselves, but they all have one thing in common: inconsistent data quality.
Some users just leave information and never actually use it.Line; some accounts have been inactive for a long time; some contact information itself is not available.
If no filtering is done and all are imported into the system, problems will occur in the backend.
Why must we screen local active users first?
In the Japanese market,"Activity" is more important than "existence".
Even if a number is boundLine account, but if it is not used for a long time, then:
l The message reach rate will be reduced
l Very low probability of reply
l Customer service follow-up costs are magnified
Screening local active users essentially solves two problems:
First, make sure you can reach
Second, increase the probability of response
When these two points are established, there will be a foundation for subsequent transformation.
Before importing into the system, it is recommended to complete the basic processing
Before the official import, the following processing actions can be completed in order:
Step one: Unify number format
l Convert to international formats (e.g.+81 (starting with +81)
l Remove errors or unusual formatting
Step Two: Deduplication Processing
l Only one valid contact information is retained for the same user
l Avoid repeated exposure
Step 3: Check number availability
l Determine whether it really exists
l Whether the basic access conditions are met
Step 4: FilterLine status
l Is it enabled?Line
l Whether it has basic usage behavior
Step 5: Screen activity
l Determine whether there has been any recent usage behavior
l Stratify users by activity level
The goal of this set of actions is to put"Unavailable" and "low value" data are filtered out.
Why can’t I filter after importing?
Some teams are accustomed to importing the system first and then filtering it slowly. But there are several obvious problems with this approach:
l The system is occupied by a large amount of invalid data
l Customer service requires manual judgment, which is extremely inefficient.
l Sales time is consumed by low-quality users
l Data is becoming increasingly confusing and difficult to manage in the future
In essence, it drags the problem from the front end to the back end, ultimately consuming more manpower.
How to embed the screening process into daily customer acquisition actions
A more reasonable way is to turn the screening process into a fixed action rather than a temporary process.
For example:
l Each new batch of acquiredLine data, first enter the "pool to be detected"
l After completing format cleaning and screen number detection, enter"Available data pool"
l Divided into three levels according to activity: high, medium and low
l Use different reach strategies at different levels
This allows the entire process to continue to be stable, rather than re-judged every time.
Use tools to complete pre-screening, which is more stable than manual work
When the amount of data is small, manual processing can still be done, but once the scale increases, manual screening will be very inefficient and error-prone.
A more practical way is to use tools to standardize this step. In actual operation, it can beBefore Line customer contact information is imported into the system, Digital Planet is used to screen numbers to screen out locally available and more active numbers, and then import them into the backend for hierarchical management. Digital Planet supports free trial screening test.
After importing, how to continue to improve conversion efficiency
Filtering is only the first step. After importing, you need to continue to optimize the usage.
You can start from three directions:
Assign reach priority based on activity
l Highly active users will be contacted first
l Regular follow-up of medium active users
l Low active users reduce frequency
Adjust the pace of communication based on user behavior
l Responding users accelerate progress
l Unresponsive users extend the interval
Regularly update data status
l Activity will change
l Continuous screening is required rather than one-time judgment
This ensures that the data is always in the"Available Status".
JapanThe key to acquiring customers for Line is not having a lot of data, but being able to use the data
Many teams will pursue data scale in the early stages, but what really determines the results is data quality.
when you putIf "Filter local active users" is placed before importing, you will find several changes:
l Customer service communication is easier
l Response rate significantly improved
l Conversion path is smoother
JapanIt is not difficult to obtain Line customer contact information. What is difficult is to make this data truly generate value. And this is often decided starting from the "screening order".
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