Overseas customer contact information is inaccurate, how to detect WhatsApp number, email, and Telegram account
When acquiring overseas customers, many teams will encounter a common problem: there may seem to be a lot of contact information, but very few are actually useful. Messages cannot be sent, emails bounce,There is no response from the Telegram account, which will directly slow down the entire conversion link.
If the contact information itself is not accurate, subsequent advertising, private messaging, or sales follow-up will all become inefficient actions. Instead of repeatedly optimizing your words, it is better to deal with the contact information layer first.
Inaccurate contact information will drag down the entire customer acquisition efficiency
When data quality is unstable, it will bring about a series of chain problems:
l WhatsApp message failed to be sent or no one responded
l A large number of bounced letters appear in the mailbox
l Telegram account exists but is inactive
l Sales and customer service time is taken up by low-quality leads
These problems will not only affect one link, but will occur throughout the entire process.
So the first step is not“Get more data”, but “make data available”.
What are the key points to look for in WhatsApp number detection?
existIn the WhatsApp scenario, the most basic judgments include:
l Has it been activated?WhatsApp
l Is it a real number?
l Whether it has basic activity level
l Whether there is an abnormality or risk status
If you only look at"Whether it is activated or not", there will still be a large number of low-value users mixed in. It needs to be combined with the activity situation to judge whether it is worth reaching.
In practical applications, the numbers can be divided into:
l available and active
l Available but low activity
l Unavailable or abnormal
Different types correspond to different processing methods.
Email data, the focus is on"Is it accessible?"
Compared with instant messaging tools, email is more suitable forB2B or formal communication scenarios, but only if the data quality is reliable.
To judge the quality of your email, you can pay attention to:
l Is the format correct (avoid obvious errors)
l Does the domain name really exist?
l Is it easy to generate bounce letters?
l Whether it matches the target industry
Mailboxes do not have obvious status labels like numbers, so they need to be cleaned in advance.
If the bounce rate is too high, it not only wastes resources, but may also affect sending reputation.
Telegram account detection should pay attention to "usage"
One characteristic of Telegram accounts is that their existence does not mean they are valuable.
When filtering, you can focus on:
l Does the account really exist?
l Whether there are traces of long-term use
l Have you been active recently?
l Whether there is an abnormal state
Although many accounts can be added, but they have not been used for a long time, it is difficult for such users to convert.
So inIn the Telegram scenario, "long-term use" is more valuable than "short-term online".
Different contact methods are suitable for different usage methods
The three contact methods are not substitutes for each other, but each has its own suitable scenario:
l Strong communication
l Quick conversion
l Suitable for private domain follow-up
l formal communication
l SuitableB2B or quotation scenario
l Used to supplement reach
Telegram
l Community operation
l Project promotion
l Long-term content cultivation
If used regardless of scenario, the reach efficiency will decrease.
Detect first and then distribute, which is more efficient than unified import.
What many teams do is to import all contact information into the system, and then let customer service slowly filter them.
The disadvantages of this approach are obvious:
l The system is occupied by invalid data
l Customer service requires a lot of manual judgment
l Follow up rhythm chaos
A more efficient way is to complete detection and layering before importing.
In actual operation, you can first use Digital Planet to do screen number detection, and thenThe availability of WhatsApp numbers is screened out, and obviously abnormal data is filtered out, and then combined with email and Telegram accounts for channel grouping processing. Digital Planet supports free trial screening test.
The data imported into the system in this way is already"Available data", subsequent efficiency will be significantly improved.
How to stratify the data after detection more reasonably
After completing the test, you can press"Availability + activity" makes a basic layer:
high quality data
l available and active
l Prioritize assignment to sales or customer service
Moderate quality data
l Available but moderately active
l Used for content cultivation or secondary contact
low quality data
l Unavailable or abnormal
l Do not enter the follow-up process
This allows resources to be focused on more valuable customers.
Common misunderstanding: boiling down the problem to"Poor conversion"
When conversions are low, many teams will continue to optimize their speaking skills or increase manpower. However, if there is a problem with the contact method itself, these adjustments will have limited effect.
The essential question is:
you are talking to"Unavailable data" communication.
When the data quality is improved, the conversion rate will naturally improve even if the words remain unchanged.
Only if the contact information is accurate will the entire link be smooth.
Acquiring customers overseas is not just"Find customers", but "find customers who can communicate".
whenAfter WhatsApp numbers, emails, and Telegram accounts have been tested and filtered, several changes will occur:
l Improved reach success rate
l Response rate is more stable
l Customer service efficiency significantly improved
At this time, optimizing the content and rhetoric will be truly effective.
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