DoWhen Facebook customer development,Efficiency in filtering customer information, determines whether you can obtain customers stably and avoid stepping into the trap. Many people spend a lot of time every day reading messages in groups, manually copying contact information, adding friends, and sending private messages.——I was very tired at the end of the day, but I only gained a few "possibly interested" customers.

In fact, in the actual practice of global cross-border marketing, there is already a complete set of"Batch identificationA professional tool system for Facebook potential customers",can:

lCollect users in batches from homepages, groups, and postsID

lIdentify these with one clickWhether the ID is a real, active, and reachable customer

lFilter out fake accounts, account bans, and account swiping

lAnalyze whether the user is boundWhatsApp, can it be transferred to private domain for access?

lhit"Can be transacted" label to improve the efficiency of subsequent private messages

This article will focus on the actual capabilities of these batch identification tools, combined with Digital Planet’s customer detection system, to teach you how to build a suitable"Efficient screening process" developed by Facebook customers.

1. Why use batch identification tools instead of manual screening?

If you are still relying onIf you "copy, paste, and judge with the naked eye" to find customers, you are likely to face the following problems:

lRecognition efficiency is low: it’s good to be able to handle dozens of people every day

lThe judgment criteria are vague: Is it active? Can I contact you? All based on guesswork

lSerious waste of energy:80% of accounts actually won’t convert at all

lThe risk is high: accidentally adding a fake account, a fake account, or a banned account may result in your account being blocked.

A mature customer development process should be:

"Batch collection → automatic judgment → precise screening → efficient access"

Among them, the batch identification tool is the core"Efficiency Engine".

two,What are the common data sources for Facebook potential customers?

Before starting to use tools to screen, let’s first clarify: what you want to identify"Customer account" generally comes from the following scenarios:

Group comment area

lLeave a message to the questioner

lThose who leave contact information

land supply chain/Purchase related poster

Home Advertising Reviews

lUsers who like, comment, and retweet under advertising

lMost of them are precise interest groups with strong conversion intentions.

Fan page interactive crowd

lFans who like the page

lAudiences who share content

lLeaveCustomers who left messages on Messenger

Facebook Live Audience

lLike the live broadcast room+ Comment users, usually more popular

Content sharer

lPeople who share product content and quotation screenshots are often in business and distribution themselves.

These users appear to be"Scattered", but there are key data that can be extracted hidden behind it:

lFacebook UID (User Unique ID)

lUsername and avatar link

lMessage content and contact information (mobile phone number/WhatsApp/email)

lLike/Comments/Share behavioral traces

3. What are the common batch collection tools?

Here we only introduce those that can be efficiently connected with the Digital Planet customer screening system.Legal and practical tools:

1.Facebook UID extraction plugin (such as UIDExtractor)

Function:

lExtract comments, likes, and sharing users’UID

lSupports batch export from groups, homepages, and postsUID list

lCan be saved asExcel or CSV file

lMost of them can be used with browser plug-ins, which are simple and easy to operate.

It is suitable for initial users. After being imported with Digital Planet, it can automatically identify whether they are convertible users.

2.Group participant tracking tools (e.g.Group Member Exporter）

Function:

lExport group members in batchesUID

lRecord the posters, commenters, and interaction frequency in the group

lCan mark near7-day activity for easy subsequent screening

suitable for doingIndustry vertical group customer mining.

3.Advertising comment user identification system

Many overseas companies will extract user data in the comment area through their own advertising backend or plug-in tools.

These comment sections usually focus on high-intent customers. You can:

lput advertisementGive the ID link to the crawler tool

lGet all likes, comments, and interactive usersID

lImport digital planet for batch status judgment

4.WhatsApp number extraction script

Extracted from public commentsContact details in WhatsApp format (starting with +xx), then:

lImport Digital Planet to determine whether it is a real number and whether it is activatedWhatsApp

lIdentify whether the number can be converted into a private domain and whether it belongs to a high-risk segment

4. ObtainHow to use Digital Planet for batch identification after UID or mobile phone number?

This step isThe entire customer development process"The most critical part", you can export the above toolsUID or mobile phone number, upload to Digital Planet platform for batch testing:

The system automatically recognizes the following dimensions:

Finally, a structured report is output to help you make quick decisions.“Is this customer worth spending time following up on?”

5. After the identification is completed, how do customers classify it for use?

Digital Planet supports classifying customer test results into the following four categories:

High potential customer pool

lactive+Bind to real machine+Communication reachable

lCan be added as a main account and focused follow-up

Can support customer pool

lThe account is stable but has not been active recently

lYou can try to send private messages, like to attract traffic, and post grass-growing content to activate it.

Multi-platform conversion customer pool

lFacebook doesn’t respond well, but it’s tied to WhatsApp or Telegram

lOther platforms can be used for tracking and follow-up

disuse/risk pool

lFake accounts, banned, unreachable

lAutomatic elimination to avoid waste of resources

6. Practical cases: how to use"Batch identification tool + digital planet" saves 70% of time

A Southeast Asian apparel exporter extracted information from an industry homepage through a plug-in.There are 2800 comment user UIDs. I initially hoped to “add them all as friends”, but:

lAdded a week300 people, almost no one responded

lAccount faces ban warning

lA large number of users have never been online at all

Subsequent adjustment strategies:

1.Will2800 UIDs were imported into Digital Planet for detection

2.The system recognizes1,300 people are "active + able to communicate + bound to mobile phone number"

3.Eliminate banned accounts and accounts with no behavior records

4.Perform a private message cold start on the remaining accounts,WhatsApp conversion, content guidance and adding friends

result:

laverage per3 out of 10 people contacted responded

lImproved efficiency of private messages5 times

lImproved account stability to avoid large-scale mistaken bans

Digital Planet does not allow you to find more customers, but allows you to find fewer useless customers.

Integrate yours nowFor Facebook customer data, the UID and mobile phone number are given to Digital Planet for a round of screening. First, the "people who can be transacted" are selected, and then the next decision is made. The efficiency is doubled, starting from identification.