Messenger account detection, batch check whether existing numbers have corresponding accounts

I have a batch of overseas customer numbers in my hand and would like to know which numbers are related toThere is a corresponding relationship between Messenger-related accounts. This kind of demand is relatively common in multi-platform customer sorting. Especially when data such as Facebook ads, independent websites, event registrations, and historical customers are mixed together, sales often only see mobile phone numbers, but do not know what social platforms these people mainly use.

The role of Messenger account detection is to first organize the platform status of existing numbers to help determine which data has the basis of Messenger or Facebook-related accounts, and then determine how to follow up based on customer sources and product needs.

This type of detection is most easily misunderstood as finding an account is equivalent to finding a precise customer. In fact, the account status can only add a platform label. Whether it has real development value depends on where the number comes from, what the user has done, and whether it is related to the current business.

When you only have a mobile phone number, it’s hard for sales to know where to contact them.

Overseas customer data often comes from multiple portals.

Some users passFacebook advertising submission forms, some are from the official website for price inquiry, some are from historical orders, and some have participated in online events.

After merging these data, the table may only have name, country and mobile phone number.

After getting the sales, you will encounter a problem: This customer is more suitableWhatsApp, Telegram, Messenger or other channels?

If you try one platform at a time, the data volume is small and can be processed, but after tens of thousands of numbers, it will be very time-consuming.

soMessenger account testing is more suitable in the customer data compilation stage, rather than waiting for sales to start contacting and then testing slowly.

Clear duplicate numbers before testing

After merging data from different channels, it is normal for the same customer to appear repeatedly.

For example, a user first passesI submitted my number for a Facebook ad, then consulted on the official website, and participated in an event a few months later.

If all three records are retained as independent customers,The Messenger process will be repeated during detection, and the sales may be contacted three times later.

Therefore, it is easier to remove duplicate numbers first.

The number format should also be as uniform as possible.

If data from different countries such as the United States, France, Thailand, and Japan are mixed together, it is best to complete the international area code first and deal with spaces, brackets, and other formatting issues.

The cleaner the data, the easier it will be to see later platform filters.

Messenger account detection mainly solves platform relationship

After completing the basic sorting, you can further determine whether the existing numbers haveMessenger or Facebook related account base.

This layer of results can add a platform status to the customer profile.

For example, it turned out to be only:

USA

Phone number

source:Facebook ads

After sorting, you can add:

Messenger related account status

WhatsApp status

Telegram status

This way sales can at least see which communication channels this number may correspond to.

However, the existence of an account cannot directly indicate that the user has frequently used it recently.Messenger does not necessarily mean that you have seen the company’s Facebook page, nor can it be directly regarded as a high-intent customer.

The platform label can only determine on which platform the account may exist, and the customer value must continue to be judged.

Digital Planet is suitable for batch account screening.

After the enterprise has obtained the customer number through normal channels such as the official website, advertising forms, historical business, event registration, etc., it can first clean and de-duplicate the number, and then proceed through Digital PlanetFilter Messenger or Facebook related account status.

For example, a batch of data comes from the United States, France, the United Kingdom, and Southeast Asian markets at the same time. You can group it by country first, and then addMessenger related platform status.

It can be formed later:

USAFacebook ads + Messenger related accounts

France＋Official website inquiry＋Messenger related accounts

UK＋Historical customers＋Facebook related users

Thailand＋Activity Registration＋Messenger related accounts

In this way, after the salesperson sees the list, he no longer only has a mobile phone number, but can know the source of the customer and the platform relationship.

Digital Planet is responsible for number sorting and account status screening here. The real customer needs still come from the company's own business records.

After the account is detected, continue to check the source of the customer

After the Messenger account detection is completed, it is not recommended to put all associated users into the same marketing list.

The priorities vary greatly depending on the source.

fromThere is a relatively natural connection between people who actively submit their contact information for Facebook ads and the Messenger/Facebook channel.

Official website inquiry users should read the original consultation content first.

Historical customers can judge whether it is worth re-contacting based on past orders and communication records.

If users who sign up for general events do not have clear product needs, they can be placed at a lower priority.

Therefore, after detection, the most practical approach is to retain the source field.

The account status tells you whether you have a platform foundation, and the source tells you why it appears in the customer database.

fromUsers coming from Facebook ads must continue to be stratified

even if all fromFacebook advertising, customer value will not be exactly the same.

Someone simply filled out their contact details.

Someone writes product requirements in the form.

Someone asked directly about price, delivery, specifications.

Others have already had several rounds of chats with customer service.

These actions determine the sales follow-up sequence.

You can first put people who have made clear inquiries recently, then deal with ordinary form users, and put data that has not been interacted with for a long time at the back.

This is better than just looking atMessenger account status is closer to actual sales.

The existence of a Messenger account does not mean that it has been active recently.

Account status and activity level should be separated.

A user may have had it many years agoI still have a Facebook account, but I rarely use Messenger.

Another user just passedThe Facebook ad submission form has obviously been active on this channel recently.

If you want to judge who is more worthy of contact now, the latter takes priority.

So don't putMessenger account detection results are directly written as active users.

Recent behavior should still be based on the company's own data, such as recent form times, advertising inquiries, customer service conversations, orders and response records.

If the customer already has a preferred channel, do not force him to switch to it.Messenger

Platform detection just adds options.

If the user clearly fills in the official website and wishes to passIf you contact us via WhatsApp, give priority to WhatsApp.

If you’ve been communicating via email, keep emailing.

If the customer is already thereConsulting in Facebook Messenger can naturally extend Messenger.

Don't move all customers to a platform account just because it is detected.

The communication habits that customers have shown are more important than the company's own decision on which platform to use.

After Messenger detection, how to organize the list to make it more usable?

Customer information can be controlled in a few simple fields.

nation

Phone number

Customer source

Messenger related status

Follow products

Last business time

Current follow-up status

For example:

USA

Facebook ads

Messenger related accounts have been identified

consultA product

Submit form 3 days ago

Not contacted

Another one:

France

Historical customers

Messenger related accounts have been identified

PurchasedB product

No interaction for half a year

To be reconfirmed

After the salesperson sees it, he knows that the first item should be dealt with first, and the second item can be put later.

This is better than just oneThe Messenger associated number list is very useful.

When filtering on multiple platforms,Messenger is just one of the tabs

If the enterprise uses bothWhatsApp, Telegram, LINE and Messenger, Messenger account detection can also be done together with other platforms.

For example, the same customer hasMessenger and WhatsApp account basics.

At this time, there is no need to send messages on both platforms.

Look at the user’s original source of contact first, and then choose a more natural channel.

if fromFacebook ads can prioritize Messenger or contact methods actively selected by users.

If it comes from the official website and fill it in clearlyWhatsApp, just WhatsApp first.

The purpose of multi-platform testing is to reduce sales trial and error, not to increase repeated contacts.

The ultimate solution to Messenger account detection is to make the data clearer

Before the test, the salesperson may only see a string of overseas numbers.

After detection, you can addMessenger or Facebook related platform status.

Combined with country, origin, product demand and recent behavior, customer profiles really start to become useful.

Digital Planet can help clean, deduplicate, and screen existing numbers and related platforms, but in the end who deserves priority development still depends on real business records.

Messenger account detection first determines whether the number has a corresponding platform account base. Whether it is worth following up with customers depends on the source, demand and whether there has been real interaction recently.

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